From b7039eec335b77bd3590c6eb811a813b5eade35e Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 25 Jan 2023 17:17:54 +0000 Subject: [PATCH 001/134] Initial commit for mct routing --- src/lisflood/Lisflood_initial.py | 4 + .../global_modules/default_options.py | 1 + src/lisflood/hydrological_modules/routing.py | 447 +++++++++++++----- 3 files changed, 336 insertions(+), 116 deletions(-) diff --git a/src/lisflood/Lisflood_initial.py b/src/lisflood/Lisflood_initial.py index 0a77589f..336bd0eb 100644 --- a/src/lisflood/Lisflood_initial.py +++ b/src/lisflood/Lisflood_initial.py @@ -220,6 +220,10 @@ def __init__(self): # CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL self.surface_routing_module.initialSecond() + if option.get('MCTRouting'): + self.routing_module.initialMCT() + # initialising Muskingum-Cunge-Todini routing for channel + self.evapowater_module.initial() self.riceirrigation_module.initial() self.waterabstraction_module.initial() diff --git a/src/lisflood/global_modules/default_options.py b/src/lisflood/global_modules/default_options.py index 7126c023..aaafbde7 100644 --- a/src/lisflood/global_modules/default_options.py +++ b/src/lisflood/global_modules/default_options.py @@ -8,6 +8,7 @@ 'InitLisfloodwithoutSplit': False, 'MonteCarlo': False, 'SplitRouting': False, + 'MCTRouting': False, 'TemperatureInKelvin': False, 'TransLoss': False, 'TransientLandUseChange': False, diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 4683437e..e2a692ce 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -44,7 +44,8 @@ class routing(HydroModule): 'CalChanMan', 'ChanMan', 'ChanBottomWidth', 'ChanDepthThreshold', 'ChanSdXdY', 'TotalCrossSectionAreaInitValue', 'PrevDischarge'], 'SplitRouting': ['CrossSection2AreaInitValue', 'PrevSideflowInitValue', 'CalChanMan2'], - 'dynamicWave': ['ChannelsDynamic']} + 'dynamicWave': ['ChannelsDynamic'], + 'MCTRouting': ['ChannelsMCT']} module_name = 'Routing' def __init__(self, routing_variable): @@ -87,7 +88,7 @@ def initial(self): # -------------------------- LDD - self.var.Ldd = lddmask(loadmap('Ldd', pcr=True, lddflag=True), self.var.MaskMap) + self.var.Ldd = lddmask(loadmap('Ldd', pcr=True, lddflag=True), self.var.MaskMap) #pcr # Cut ldd to size of MaskMap (NEW, 29/9/2004) # Prevents 'unsound' ldd if MaskMap covers sub-area of ldd @@ -95,36 +96,38 @@ def initial(self): # Needed if we want to calculate average values of variables # upstream of gauge locations - self.var.UpArea = accuflux(self.var.Ldd, self.var.PixelAreaPcr) + self.var.UpArea = accuflux(self.var.Ldd, self.var.PixelAreaPcr) #pcr # Upstream contributing area for each pixel # Note that you might expext that values of UpArea would be identical to # those of variable CatchArea (see below) at the outflow points. # This is NOT actually the case, because outflow points are shifted 1 # cell in upstream direction in the calculation of CatchArea! - self.var.InvUpArea = 1 / self.var.UpArea + self.var.InvUpArea = 1 / self.var.UpArea #pcr # Calculate inverse, so we can multiply in dynamic (faster than divide) - self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) - self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) + self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr + self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool # Identify channel pixels - self.var.IsChannelKinematic = self.var.IsChannel.copy() + self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool # Identify kinematic wave channel pixels # (identical to IsChannel, unless dynamic wave is used, see below) - self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) - + self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) #bool # Map that identifies special inflow/outflow structures (reservoirs, lakes) within the # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake # routines (if those are used) - LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) + + LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) #pcr + LddChanNp=compressArray(LddChan) #np # ldd for Channel network - self.var.MaskMap = boolean(self.var.Ldd) + self.var.MaskMap = boolean(self.var.Ldd) #pcr + self.var.MaskMapNp=compressArray(self.var.MaskMap) #np # Use boolean version of Ldd as calculation mask - # (important for correct mass balance check - # any water generated outside of Ldd won't reach - # channel anyway) - self.var.LddToChan = lddrepair(ifthenelse(self.var.IsChannelPcr, 5, self.var.Ldd)) + # (important for correct mass balance check any water generated outside of Ldd won't reachchannel anyway) + self.var.LddToChan = lddrepair(ifthenelse(self.var.IsChannelPcr, 5, self.var.Ldd)) #pcr + self.var.LddToChanNp=compressArray(self.var.LddToChan) #np # Routing of runoff (incl. ground water)en - AtOutflow = boolean(pit(self.var.Ldd)) + AtOutflow = boolean(pit(self.var.Ldd)) #pcr + AtOutflowNp=compressArray(AtOutflow) #np # find outlet points... if option['dynamicWave']: @@ -149,27 +152,58 @@ def initial(self): # are included, for which the mass balance cannot be calculated # properly) + elif option['MCTRouting']: + #print('MCTRouting setting LDD') + self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr + self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool + self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr + # Identify channel pixels where Muskingum-Cunge-Todini is used + + self.var.LddMCT = lddmask(self.var.Ldd, self.var.IsChannelMCTPcr) #pcr + self.var.LddMCTNp = compressArray(self.var.LddMCT) #np + self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) + # Ldd for MCT wave + + self.var.LddKinematic = lddmask(self.var.Ldd, self.var.IsChannelKinematicPcr) #pcr + # Ldd for kinematic wave: ends (pit) just before dynamic stretch + # Following statements produce an ldd network that connects the pits in + # LddKinematic to the nearest downstream mct wave pixel + else: self.var.LddKinematic = LddChan # No dynamic wave, so kinematic ldd equals channel ldd - self.var.AtLastPoint = AtOutflow - self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) - # assign unique identifier to each of them + + self.var.LddKinematicNp = compressArray(self.var.LddKinematic) #np + + self.var.LddChan = LddChan #pcr + self.var.LddChanNp = compressArray(self.var.LddChan) #np + + self.var.AtLastPoint = AtOutflow + #AtOutflowNp=compressArray(AtOutflow) #np + self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) + # assign unique identifier to each of them + maskinfo = MaskInfo.instance() - lddC = compressArray(self.var.LddKinematic) - inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) + #lddC = compressArray(self.var.LddKinematic) #np + lddC = compressArray(LddChan) #np + inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) #pcr + inArNp=compressArray(inAr) #np # giving a number to each non missing pixel as id - self.var.downstruct = (compressArray(downstream(self.var.LddKinematic, inAr))).astype("int32") + #self.var.downstruct = (compressArray(downstream(self.var.LddKinematic, inAr))).astype("int32") #np + self.var.downstruct = (compressArray(downstream(LddChan, inAr))).astype("int32") #np # each upstream pixel gets the id of the downstream pixel - self.var.downstruct[lddC == 5] = maskinfo.info.mapC[0] - # all pits gets a high number + self.var.downstruct[lddC == 5] = maskinfo.info.mapC[0] #np + # all pits get a high number than any of the cells # upstream function in numpy - OutflowPoints = nominal(uniqueid(self.var.AtLastPoint)) + OutflowPoints = nominal(uniqueid(self.var.AtLastPoint)) #pcr + OutflowPointsNp = compressArray(OutflowPoints) #np # and assign unique identifier to each of them - self.var.Catchments = (compressArray(catchment(self.var.Ldd, OutflowPoints))).astype(np.int32) - CatchArea = np.bincount(self.var.Catchments, weights=self.var.PixelArea)[self.var.Catchments] + # assigning id to the outflow points starting from 1 + self.var.Catchments = (compressArray(catchment(self.var.Ldd, OutflowPoints))).astype(np.int32) #np + # assign outlet id to all pixel in its catchment # define catchment for each outflow point + CatchArea = np.bincount(self.var.Catchments, weights=self.var.PixelArea)[self.var.Catchments] #np # Compute area of each catchment [m2] # Note: in earlier versions this was calculated using the "areaarea" function, # changed to "areatotal" in order to enable handling of grids with spatially @@ -240,12 +274,13 @@ def initial(self): # ***** CHANNEL INITIAL DISCHARGE **************************** # ************************************************************ - self.var.ChanM3 = self.var.TotalCrossSectionArea * self.var.ChanLength + self.var.ChanM3 = self.var.TotalCrossSectionArea * self.var.ChanLength #np # channel water volume [m3] - self.var.ChanIniM3 = self.var.ChanM3.copy() - self.var.ChanM3Kin = self.var.ChanIniM3.copy().astype(float) + self.var.ChanIniM3 = self.var.ChanM3.copy() #np + self.var.ChanM3Kin = self.var.ChanIniM3.copy().astype(float) #np # Initialise water volume in kinematic wave channels [m3] self.var.ChanQKin = np.where(self.var.ChannelAlpha > 0, (self.var.TotalCrossSectionArea / self.var.ChannelAlpha) ** self.var.InvBeta, 0).astype(float) + # Initialise discharge at kinematic wave pixels (note that InvBeta is # simply 1/beta, computational efficiency!) @@ -323,8 +358,8 @@ def initial(self): # Dummy code if dynamic wave is not used, in which case ChanQ equals ChanQKin # (needed only for polder routine) - PrevDischarge = loadmap('PrevDischarge') - self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) + PrevDischarge = loadmap('PrevDischarge') #discharge at the end of previous step + self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # initialise channel discharge: cold start: equal to ChanQKin # [m3/s] @@ -336,7 +371,8 @@ def initial(self): self.var.TotalQInM3 = maskinfo.in_zero() # cumulative inflow from inflow hydrographs [m3] self.var.sumDis = maskinfo.in_zero() - self.var.sumInWB = maskinfo.in_zero() + self.var.sumIn = maskinfo.in_zero() #non so se sostituita da self.var.sumInWB + # self.var.sumInWB = maskinfo.in_zero() def initialSecond(self): """ initial part of the second channel routing module @@ -428,6 +464,46 @@ def initialSecond(self): if option['simulateLakes']: self.var.StorageStepINIT += self.var.LakeStorageIniM3 self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) + + + def initialMCT(self): + """ initial part of the Muskingum-Kunge-Todini routing module + """ + settings = LisSettings.instance() + option = settings.options + binding = settings.binding + + #self.var.ChannelAlpha2 = None # default value, if split-routing is not active and only water is routed only in the main channel + # ************************************************************ + # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # ************************************************************ + if option['MCTRouting']: + #print('initialMCT') + + ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') + AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta + self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) + self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 + # calculating second Alpha for second (virtual) channel + + if not(option['InitLisflood']): + + # use loadmap_base function as we don't want to cache avgdis it in the calibration + self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') + # Over bankful discharge starts at QLimit + # set to mutiple of average discharge (map from prerun) + # QSplitMult =2 is around 90 to 95% of Q + + self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) + # Water volume in bankful when over bankful discharge starts + + #self.var.ChanM3Kin = ... + + #self.var.ChanQKin = ... + + # maskinfo = MaskInfo.instance() + + # -------------------------------------------------------------------------- # -------------------------------------------------------------------------- @@ -460,6 +536,7 @@ def dynamic(self, NoRoutingExecuted): # ************************************************************ SideflowChanM3 = self.var.ToChanM3RunoffDt.copy() + if option['openwaterevapo']: SideflowChanM3 -= self.var.EvaAddM3Dt if option['wateruse']: @@ -507,102 +584,126 @@ def dynamic(self, NoRoutingExecuted): # the polder routine is ever modified to make it work with kin. wave) # Because of wateruse Sideflow might get even smaller than 0, # instead of inflow its outflow - - + SideflowChan = np.where(self.var.IsChannelKinematic, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) + # Sideflow expressed in [cu m /s / m channel length] + if option['MCTRouting']: + SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) + else: + SideflowChanMCT = 0 + # Sideflow for MCT cells + # ************************************************************ - # ***** KINEMATIC WAVE **************** + # ***** ROUTING **************** # ************************************************************ + if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() if option['InitLisflood'] or (not(option['SplitRouting'])): - # if InitLisflood no split routing is use + # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI + # Kinematic routing + ChanQKinIn = self.var.ChanQKin.copy() + #ChanM3KinNp = self.var.ChanM3Kin.copy() + ChanQKinOut,ChanQOut,ChanM3KinOut = self.KinematicRouting(ChanQKinIn,SideflowChan) - # ---- Single Routing --------------- - # No split routing - # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) - SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! - - self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") - self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin**self.var.Beta - # Volume in channel at end of computation step + # MCT routing + ChanQMCTIn = self.var.ChanQKin.copy() + ChanQMCTOut,ChanQQMCTOut,ChanM3MCTOut = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) - self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # Check for negative volumes at the end of computation step - self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step + # combine results + self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTOut) + self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTOut) + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQQMCTOut) - self.var.ChanQ = self.var.ChanQKin.copy() - # at single kin. ChanQ is the same - self.var.sumDisDay += self.var.ChanQ # Total channel storage [cu m], equal to ChanM3Kin - - - - else: - # ---- Double Routing --------------- - # routing is split in two (virtual) channels) + # print('Computing Kinematic routing') + # if InitLisflood no split routing is use + + # # ---- Single Routing --------------- + # # No split routing + # # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) + # SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! + # + # self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") + # self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin**self.var.Beta + # # Volume in channel at end of computation step + # + # self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) + # # Check for negative volumes at the end of computation step + # self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # # Correct negative discharge at the end of computation step + # + # self.var.ChanQ = self.var.ChanQKin.copy() + # # at single kin. ChanQ is the same + # + # self.var.sumDisDay += self.var.ChanQ + # # Total channel storage [cu m], equal to ChanM3Kin - # Ad - SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) - - - - # CM ################################## - # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) - # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps - # TO BY REPLACED WITH THE FOLLOWING - self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, - SideflowRatio*SideflowChan, SideflowChan) - ####################################### - - - - self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) - # too small values are avoided - Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan - - Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale - # as kinematic wave gets slower with less water - # a constant amount of water has to be added - # -> add QLimit discharge - - # --- Main channel routing --- - self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") - self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta - - self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # Check for negative volumes at the end of computation step - self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step - - - # --- Floodplains routing --- - self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") - self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta + else: + # SPLIT ROUTING AND MUSKINGUM-CUNGE-TODINI + + np.where(self.var.IsChannelKinematic, self.SplitRouting(SideflowChan),self.MCTRouting(SideflowChanMCT)) + # # ---- Double Routing --------------- + # # routing is split in two (virtual) channels) + # + # # Ad + # SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) + # + # # CM ################################## + # # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) + # # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps + # # TO BY REPLACED WITH THE FOLLOWING + # self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, + # SideflowRatio*SideflowChan, SideflowChan) + # ####################################### + # + # self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) + # # too small values are avoided + # Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan + # + # Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale + # # as kinematic wave gets slower with less water + # # a constant amount of water has to be added + # # -> add QLimit discharge + # + # # --- Main channel routing --- + # self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + # self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta + # + # self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) + # # Check for negative volumes at the end of computation step + # self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # # Correct negative discharge at the end of computation step + # + # + # # --- Floodplains routing --- + # self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") + # self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta + # + # diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start + # self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) + # # Check for negative volume in second line of routing at the end of routing substep + # + # self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength + # # Compute cross-section for second line of routing + # + # self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) + # # Correct negative discharge at the end of computation step in second line + # + # self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + # + # # Superposition Kinematic + # # Main channel routing and floodplains routing + # + # self.var.sumDisDay += self.var.ChanQ + # # ----------End splitrouting------------------------------------------------- - diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start - self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) - # Check for negative volume in second line of routing at the end of routing substep - self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength - # Compute cross-section for second line of routing - - self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step in second line - - - self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0.0) - - # Superposition Kinematic - # Main channel routing and floodplains routing - #print(np.sum(self.var.sumDisDay)) - self.var.sumDisDay_NOTlast=self.var.sumDisDay.copy() - self.var.sumDisDay += self.var.ChanQ - # ----------End splitrouting------------------------------------------------- + TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin*self.var.InvChanLength,0.01) + ### # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- @@ -691,9 +792,6 @@ def dynamic(self, NoRoutingExecuted): self.var.StorageStepINIT= StorageStep1.copy()+DischargeM3StructuresR - - TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin*self.var.InvChanLength,0.01) - self.var.FlowVelocity = np.minimum(self.var.ChanQKin/TotalCrossSectionArea, 0.36*self.var.ChanQKin**0.24) # Channel velocity (m/s); dividing Q (m3/s) by CrossSectionArea (m2) # avoid extreme velocities by using the Wollheim 2006 equation @@ -704,3 +802,120 @@ def dynamic(self, NoRoutingExecuted): # if flow is fast, Traveltime=1, TravelDistance is high: Pixellength*DtSec # if flow is slow, Traveltime=DtSec then TravelDistance=PixelLength # maximum set to 30km/day for 5km cell, is at DtSec/Traveltime=6, is at Traveltime 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) + + + + # CM ################################## + # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) + # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps + # TO BY REPLACED WITH THE FOLLOWING + self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, + SideflowRatio*SideflowChan, SideflowChan) + ####################################### + + + + self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) + # too small values are avoided + Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan + + Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale + # as kinematic wave gets slower with less water + # a constant amount of water has to be added + # -> add QLimit discharge + + # --- Main channel routing --- + self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta + + self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) + # Check for negative volumes at the end of computation step + self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # Correct negative discharge at the end of computation step + + + # --- Floodplains routing --- + self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") + self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta + + diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start + self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) + # Check for negative volume in second line of routing at the end of routing substep + + self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength + # Compute cross-section for second line of routing + + self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) + # Correct negative discharge at the end of computation step in second line + + + self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0.0) + + # Superposition Kinematic + # Main channel routing and floodplains routing + #print(np.sum(self.var.sumDisDay)) + self.var.sumDisDay_NOTlast=self.var.sumDisDay.copy() + self.var.sumDisDay += self.var.ChanQ + # ----------End splitrouting------------------------------------------------- + + + def MCTRouting(self,ChanQMCT,SideflowChanMCT): + ChanQMCTPcr=decompress(ChanQMCT) + ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) + # calc contribution from upstream pixels + + x = np.ma.masked_where(self.var.IsChannelKinematic,ChanQMCTUp) + y = x.compressed() + + xside = np.ma.masked_where(self.var.IsChannelKinematic,SideflowChanMCT) + yside = xside.compressed() + + z = y + yside + # tanto arriva tanto esce + + x[~x.mask] = z + ChanQMCT = x.data + + ChanQQMCT = ChanQMCT.copy() + ChanM3MCT = self.var.ChanM3Kin.copy() + + return ChanQMCT,ChanQQMCT,ChanM3MCT + From 0707df2589d9846622bdb2ef4f3ddace347f8beb Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 23 Mar 2023 12:17:12 +0000 Subject: [PATCH 002/134] Refactored kinematic routing only --- src/lisflood/hydrological_modules/routing.py | 202 +++++++------------ 1 file changed, 78 insertions(+), 124 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index e2a692ce..7ed8b995 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -599,8 +599,83 @@ def dynamic(self, NoRoutingExecuted): # ************************************************************ if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() - if option['InitLisflood'] or (not(option['SplitRouting'])): - # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI + # KINEMATIC ROUTING ONLY + if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): + # Kinematic routing + ChanQKinIn = self.var.ChanQKin.copy() + #ChanM3KinNp = self.var.ChanM3Kin.copy() + ChanQKinOut,ChanQOut,ChanM3KinOut = self.KinematicRouting(ChanQKinIn,SideflowChan) + + self.var.ChanQKin = ChanQKinOut + self.var.ChanM3Kin = ChanM3KinOut + self.var.ChanQ = ChanQOut + + self.var.sumDisDay += self.var.ChanQ + + + # SPLIT ROUTING + if option['SplitRouting'] and not(option['MCTRouting']): + # ---- Double Routing --------------- + # routing is split in two (virtual) channels) + + # Ad + SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) + + # CM ################################## + # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) + # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps + # TO BY REPLACED WITH THE FOLLOWING + self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, + SideflowRatio*SideflowChan, SideflowChan) + ####################################### + + self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) + # too small values are avoided + Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan + + Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale + # as kinematic wave gets slower with less water + # a constant amount of water has to be added + # -> add QLimit discharge + + # --- Main channel routing --- + self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta + + self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) + # Check for negative volumes at the end of computation step + self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # Correct negative discharge at the end of computation step + + + # --- Floodplains routing --- + self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") + self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta + + diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start + self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) + # Check for negative volume in second line of routing at the end of routing substep + + self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength + # Compute cross-section for second line of routing + + self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) + # Correct negative discharge at the end of computation step in second line + + self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + + # Superposition Kinematic + # Main channel routing and floodplains routing + + self.var.sumDisDay += self.var.ChanQ + # ----------End splitrouting------------------------------------------------- + + TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) + + + + # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI + if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): # Kinematic routing ChanQKinIn = self.var.ChanQKin.copy() #ChanM3KinNp = self.var.ChanM3Kin.copy() @@ -641,69 +716,7 @@ def dynamic(self, NoRoutingExecuted): # self.var.sumDisDay += self.var.ChanQ # # Total channel storage [cu m], equal to ChanM3Kin - else: - # SPLIT ROUTING AND MUSKINGUM-CUNGE-TODINI - np.where(self.var.IsChannelKinematic, self.SplitRouting(SideflowChan),self.MCTRouting(SideflowChanMCT)) - # # ---- Double Routing --------------- - # # routing is split in two (virtual) channels) - # - # # Ad - # SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) - # - # # CM ################################## - # # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) - # # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps - # # TO BY REPLACED WITH THE FOLLOWING - # self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, - # SideflowRatio*SideflowChan, SideflowChan) - # ####################################### - # - # self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) - # # too small values are avoided - # Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan - # - # Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale - # # as kinematic wave gets slower with less water - # # a constant amount of water has to be added - # # -> add QLimit discharge - # - # # --- Main channel routing --- - # self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") - # self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta - # - # self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # # Check for negative volumes at the end of computation step - # self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # # Correct negative discharge at the end of computation step - # - # - # # --- Floodplains routing --- - # self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") - # self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta - # - # diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start - # self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) - # # Check for negative volume in second line of routing at the end of routing substep - # - # self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength - # # Compute cross-section for second line of routing - # - # self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) - # # Correct negative discharge at the end of computation step in second line - # - # self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - # - # # Superposition Kinematic - # # Main channel routing and floodplains routing - # - # self.var.sumDisDay += self.var.ChanQ - # # ----------End splitrouting------------------------------------------------- - - - - TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin*self.var.InvChanLength,0.01) - ### # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- @@ -835,66 +848,7 @@ def KinematicRouting(self,ChanQKin,SideflowChan): def SplitRouting(self, SideflowChan): - # ---- Double Routing --------------- - # routing is split in two (virtual) channels) - - # Ad - SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) - - - - # CM ################################## - # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) - # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps - # TO BY REPLACED WITH THE FOLLOWING - self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, - SideflowRatio*SideflowChan, SideflowChan) - ####################################### - - - - self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) - # too small values are avoided - Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan - - Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale - # as kinematic wave gets slower with less water - # a constant amount of water has to be added - # -> add QLimit discharge - - # --- Main channel routing --- - self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") - self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta - - self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # Check for negative volumes at the end of computation step - self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step - - - # --- Floodplains routing --- - self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") - self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta - - diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start - self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) - # Check for negative volume in second line of routing at the end of routing substep - - self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength - # Compute cross-section for second line of routing - - self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step in second line - - - self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0.0) - - # Superposition Kinematic - # Main channel routing and floodplains routing - #print(np.sum(self.var.sumDisDay)) - self.var.sumDisDay_NOTlast=self.var.sumDisDay.copy() - self.var.sumDisDay += self.var.ChanQ - # ----------End splitrouting------------------------------------------------- + pass def MCTRouting(self,ChanQMCT,SideflowChanMCT): From beab041fe5573a01eaaf62531c1aa0efbe21fd43 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 23 Mar 2023 13:54:02 +0000 Subject: [PATCH 003/134] Refactored split routing --- src/lisflood/hydrological_modules/routing.py | 135 ++++++++----------- 1 file changed, 57 insertions(+), 78 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 7ed8b995..629431ff 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -615,65 +615,14 @@ def dynamic(self, NoRoutingExecuted): # SPLIT ROUTING if option['SplitRouting'] and not(option['MCTRouting']): - # ---- Double Routing --------------- - # routing is split in two (virtual) channels) - - # Ad - SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin/(self.var.ChanM3Kin+self.var.Chan2M3Kin), 0.0) - - # CM ################################## - # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) - # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps - # TO BY REPLACED WITH THE FOLLOWING - self.var.Sideflow1Chan = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, - SideflowRatio*SideflowChan, SideflowChan) - ####################################### - - self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) - # too small values are avoided - Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan - - Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale - # as kinematic wave gets slower with less water - # a constant amount of water has to be added - # -> add QLimit discharge - - # --- Main channel routing --- - self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") - self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta - - self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # Check for negative volumes at the end of computation step - self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step - - - # --- Floodplains routing --- - self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") - self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta - - diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start - self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) - # Check for negative volume in second line of routing at the end of routing substep - - self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength - # Compute cross-section for second line of routing - - self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) - # Correct negative discharge at the end of computation step in second line - - self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - - # Superposition Kinematic - # Main channel routing and floodplains routing + self.SplitRouting(SideflowChan) self.var.sumDisDay += self.var.ChanQ - # ----------End splitrouting------------------------------------------------- + # ----------End splitrouting------------------------------------------------- TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) - # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): # Kinematic routing @@ -691,30 +640,6 @@ def dynamic(self, NoRoutingExecuted): self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQQMCTOut) self.var.sumDisDay += self.var.ChanQ - # Total channel storage [cu m], equal to ChanM3Kin - - # print('Computing Kinematic routing') - # if InitLisflood no split routing is use - - # # ---- Single Routing --------------- - # # No split routing - # # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) - # SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! - # - # self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") - # self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin**self.var.Beta - # # Volume in channel at end of computation step - # - # self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # # Check for negative volumes at the end of computation step - # self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # # Correct negative discharge at the end of computation step - # - # self.var.ChanQ = self.var.ChanQKin.copy() - # # at single kin. ChanQ is the same - # - # self.var.sumDisDay += self.var.ChanQ - # # Total channel storage [cu m], equal to ChanM3Kin ### @@ -848,7 +773,61 @@ def KinematicRouting(self,ChanQKin,SideflowChan): def SplitRouting(self, SideflowChan): - pass + # ---- Double Routing --------------- + # routing is split in two (virtual) channels) + + # Ad + SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, + self.var.ChanM3Kin / (self.var.ChanM3Kin + self.var.Chan2M3Kin), 0.0) + + # CM ################################## + # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) + # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps + # TO BY REPLACED WITH THE FOLLOWING + self.var.Sideflow1Chan = np.where( + (self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, + SideflowRatio * SideflowChan, SideflowChan) + ####################################### + + self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) + # too small values are avoided + Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan + + Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale + # as kinematic wave gets slower with less water + # a constant amount of water has to be added + # -> add QLimit discharge + + # --- Main channel routing --- + self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta + + self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) + # Check for negative volumes at the end of computation step + self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** ( + self.var.InvBeta) + # Correct negative discharge at the end of computation step + + # --- Floodplains routing --- + self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") + self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta + + diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start + self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) + # Check for negative volume in second line of routing at the end of routing substep + + self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength + # Compute cross-section for second line of routing + + self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** ( + self.var.InvBeta) + # Correct negative discharge at the end of computation step in second line + + self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + + # Superposition Kinematic + # Main channel routing and floodplains routing + return def MCTRouting(self,ChanQMCT,SideflowChanMCT): From b8d98e3fc637cdd987ed5f5c347ba3155fe69722 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 23 Mar 2023 14:46:15 +0000 Subject: [PATCH 004/134] Refactored InitLisflood --- src/lisflood/hydrological_modules/routing.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 629431ff..dba5af50 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -615,12 +615,9 @@ def dynamic(self, NoRoutingExecuted): # SPLIT ROUTING if option['SplitRouting'] and not(option['MCTRouting']): - self.SplitRouting(SideflowChan) self.var.sumDisDay += self.var.ChanQ - # ----------End splitrouting------------------------------------------------- - TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI @@ -642,6 +639,8 @@ def dynamic(self, NoRoutingExecuted): self.var.sumDisDay += self.var.ChanQ + TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) + ### # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- From 800b706fe8678dd823a37f75f11811a2b9805e0b Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 24 Mar 2023 14:05:44 +0000 Subject: [PATCH 005/134] Init Kin and Split routing refactored and giving same results --- src/lisflood/hydrological_modules/routing.py | 11 +++++------ 1 file changed, 5 insertions(+), 6 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index dba5af50..e674e704 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -599,7 +599,7 @@ def dynamic(self, NoRoutingExecuted): # ************************************************************ if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() - # KINEMATIC ROUTING ONLY + # KINEMATIC ROUTING ONLY - InitLisflood if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): # Kinematic routing ChanQKinIn = self.var.ChanQKin.copy() @@ -613,14 +613,13 @@ def dynamic(self, NoRoutingExecuted): self.var.sumDisDay += self.var.ChanQ - # SPLIT ROUTING - if option['SplitRouting'] and not(option['MCTRouting']): + # SPLIT ROUTING - no InitLisfllod + if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): self.SplitRouting(SideflowChan) self.var.sumDisDay += self.var.ChanQ - # ----------End splitrouting------------------------------------------------- - # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI + # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): # Kinematic routing ChanQKinIn = self.var.ChanQKin.copy() @@ -823,9 +822,9 @@ def SplitRouting(self, SideflowChan): # Correct negative discharge at the end of computation step in second line self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - # Superposition Kinematic # Main channel routing and floodplains routing + # ----------End splitrouting------------------------------------------------- return From 55543a443fd12a7f377e576bc99e639308be5767 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 24 Mar 2023 14:53:40 +0000 Subject: [PATCH 006/134] initialisation for MCT --- src/lisflood/hydrological_modules/routing.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index e674e704..ec3ef898 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -473,13 +473,11 @@ def initialMCT(self): option = settings.options binding = settings.binding - #self.var.ChannelAlpha2 = None # default value, if split-routing is not active and only water is routed only in the main channel # ************************************************************ # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ # ************************************************************ - if option['MCTRouting']: - #print('initialMCT') - + if option['MCTRouting'] and option['SplitRouting']: + print('initialMCT') ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) @@ -628,6 +626,7 @@ def dynamic(self, NoRoutingExecuted): # MCT routing ChanQMCTIn = self.var.ChanQKin.copy() + # ChanQMCTOut,ChanQQMCTOut,ChanM3MCTOut = self.KinematicRouting(ChanQMCTIn,SideflowChanMCT) ChanQMCTOut,ChanQQMCTOut,ChanM3MCTOut = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) # combine results From 7350d44aca8f0fd6a443dc597f5dc36ed8f20d4f Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 29 Mar 2023 12:28:12 +0000 Subject: [PATCH 007/134] Wiring of MCT function --- src/lisflood/Lisflood_initial.py | 6 +- src/lisflood/hydrological_modules/routing.py | 103 ++++++++++--------- 2 files changed, 59 insertions(+), 50 deletions(-) diff --git a/src/lisflood/Lisflood_initial.py b/src/lisflood/Lisflood_initial.py index 336bd0eb..85df1e7b 100644 --- a/src/lisflood/Lisflood_initial.py +++ b/src/lisflood/Lisflood_initial.py @@ -220,9 +220,9 @@ def __init__(self): # CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL self.surface_routing_module.initialSecond() - if option.get('MCTRouting'): - self.routing_module.initialMCT() - # initialising Muskingum-Cunge-Todini routing for channel + # if option.get('MCTRouting'): + # self.routing_module.initialMCT() + # # initialising Muskingum-Cunge-Todini routing for channel self.evapowater_module.initial() self.riceirrigation_module.initial() diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index ec3ef898..0be9455b 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -110,7 +110,7 @@ def initial(self): # Identify channel pixels self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool # Identify kinematic wave channel pixels - # (identical to IsChannel, unless dynamic wave is used, see below) + # (identical to IsChannel, unless dynamic/MCT wave is used, see below) self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) #bool # Map that identifies special inflow/outflow structures (reservoirs, lakes) within the # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake @@ -156,12 +156,14 @@ def initial(self): #print('MCTRouting setting LDD') self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool - self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr # Identify channel pixels where Muskingum-Cunge-Todini is used + self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr + self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np + # Identify channel pixels where Kinematic wave is used + self.var.LddMCT = lddmask(self.var.Ldd, self.var.IsChannelMCTPcr) #pcr self.var.LddMCTNp = compressArray(self.var.LddMCT) #np - self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) # Ldd for MCT wave self.var.LddKinematic = lddmask(self.var.Ldd, self.var.IsChannelKinematicPcr) #pcr @@ -171,7 +173,7 @@ def initial(self): else: self.var.LddKinematic = LddChan - # No dynamic wave, so kinematic ldd equals channel ldd + # No dynamic/MCT wave, so kinematic ldd equals channel ldd self.var.LddKinematicNp = compressArray(self.var.LddKinematic) #np @@ -280,16 +282,15 @@ def initial(self): self.var.ChanM3Kin = self.var.ChanIniM3.copy().astype(float) #np # Initialise water volume in kinematic wave channels [m3] self.var.ChanQKin = np.where(self.var.ChannelAlpha > 0, (self.var.TotalCrossSectionArea / self.var.ChannelAlpha) ** self.var.InvBeta, 0).astype(float) - # Initialise discharge at kinematic wave pixels (note that InvBeta is # simply 1/beta, computational efficiency!) self.var.CumQ = maskinfo.in_zero() # ininialise sum of discharge to calculate average -# ************************************************************ -# ***** CHANNEL INITIAL DYNAMIC WAVE ************************* -# ************************************************************ + # ************************************************************ + # ***** CHANNEL INITIAL DYNAMIC WAVE ************************* + # ************************************************************ if option['dynamicWave']: pass # TODO !!!!!!!!!!!!!!!!!!!! @@ -381,7 +382,7 @@ def initialSecond(self): option = settings.options binding = settings.binding - self.var.ChannelAlpha2 = None # default value, if split-routing is not active and only water is routed only in the main channel + self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel # ************************************************************ # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ # ************************************************************ @@ -431,12 +432,14 @@ def initialSecond(self): self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # Initialise parallel kinematic wave router: main channel-only routing if self.var.ChannelAlpha2 is None; else split-routing(main channel + floodplains) maskinfo = MaskInfo.instance() self.river_router = kinematicWave(compressArray(self.var.LddKinematic), ~maskinfo.info.mask, self.var.ChannelAlpha, self.var.Beta, self.var.ChanLength, self.var.DtRouting, int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) - + + if option['InitLisflood'] and option['repMBTs']: self.var.StorageStepINIT= self.var.ChanM3Kin self.var.DischargeM3StructuresIni = maskinfo.in_zero() @@ -466,40 +469,46 @@ def initialSecond(self): self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) - def initialMCT(self): - """ initial part of the Muskingum-Kunge-Todini routing module - """ - settings = LisSettings.instance() - option = settings.options - binding = settings.binding - - # ************************************************************ - # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ - # ************************************************************ - if option['MCTRouting'] and option['SplitRouting']: - print('initialMCT') - ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') - AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta - self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) - self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 - # calculating second Alpha for second (virtual) channel - - if not(option['InitLisflood']): - - # use loadmap_base function as we don't want to cache avgdis it in the calibration - self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') - # Over bankful discharge starts at QLimit - # set to mutiple of average discharge (map from prerun) - # QSplitMult =2 is around 90 to 95% of Q - - self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) - # Water volume in bankful when over bankful discharge starts - - #self.var.ChanM3Kin = ... - - #self.var.ChanQKin = ... - - # maskinfo = MaskInfo.instance() + # def initialMCT(self): + # """ initial part of the Muskingum-Kunge-Todini routing module + # """ + # settings = LisSettings.instance() + # option = settings.options + # binding = settings.binding + # + # self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel + # # ************************************************************ + # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # # ************************************************************ + # if option['MCTRouting']: + # + # # ************************************************************ + # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # # ************************************************************ + # if option['MCTRouting'] and option['SplitRouting']: + # print('initialMCT') + # ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') + # AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta + # self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) + # self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 + # # calculating second Alpha for second (virtual) channel + # + # if not(option['InitLisflood']): + # + # # use loadmap_base function as we don't want to cache avgdis it in the calibration + # self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') + # # Over bankful discharge starts at QLimit + # # set to mutiple of average discharge (map from prerun) + # # QSplitMult =2 is around 90 to 95% of Q + # + # self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) + # # Water volume in bankful when over bankful discharge starts + # + # #self.var.ChanM3Kin = ... + # + # #self.var.ChanQKin = ... + # + # # maskinfo = MaskInfo.instance() # -------------------------------------------------------------------------- @@ -620,13 +629,13 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): # Kinematic routing + ChanQKinIn = self.var.ChanQKin.copy() #ChanM3KinNp = self.var.ChanM3Kin.copy() ChanQKinOut,ChanQOut,ChanM3KinOut = self.KinematicRouting(ChanQKinIn,SideflowChan) # MCT routing ChanQMCTIn = self.var.ChanQKin.copy() - # ChanQMCTOut,ChanQQMCTOut,ChanM3MCTOut = self.KinematicRouting(ChanQMCTIn,SideflowChanMCT) ChanQMCTOut,ChanQQMCTOut,ChanM3MCTOut = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) # combine results @@ -731,9 +740,9 @@ def dynamic(self, NoRoutingExecuted): # Channel velocity (m/s); dividing Q (m3/s) by CrossSectionArea (m2) # avoid extreme velocities by using the Wollheim 2006 equation # assume 0.1 for upstream areas (outside ChanLdd) - self.var.FlowVelocity *= np.minimum(np.sqrt(self.var.PixelArea)*self.var.InvChanLength,1); + self.var.FlowVelocity *= np.minimum(np.sqrt(self.var.PixelArea)*self.var.InvChanLength,1) # reduction for sinuosity of channels - self.var.TravelDistance=self.var.FlowVelocity*self.var.DtSec; + self.var.TravelDistance=self.var.FlowVelocity*self.var.DtSec # if flow is fast, Traveltime=1, TravelDistance is high: Pixellength*DtSec # if flow is slow, Traveltime=DtSec then TravelDistance=PixelLength # maximum set to 30km/day for 5km cell, is at DtSec/Traveltime=6, is at Traveltime Date: Thu, 30 Mar 2023 14:51:06 +0000 Subject: [PATCH 008/134] Added utility functions qdy, hdv and scalax (Newton-Raphson) --- src/lisflood/hydrological_modules/routing.py | 228 ++++++++++++++++++- 1 file changed, 225 insertions(+), 3 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 0be9455b..f35eed85 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -226,6 +226,7 @@ def initial(self): self.var.ChanBottomWidth = loadmap('ChanBottomWidth') ChanDepthThreshold = loadmap('ChanDepthThreshold') ChanSdXdY = loadmap('ChanSdXdY') + self.var.ChanSdXdY = loadmap('ChanSdXdY') self.var.ChanUpperWidth = self.var.ChanBottomWidth + 2 * ChanSdXdY * ChanDepthThreshold # Channel upper width [m] self.var.TotalCrossSectionAreaBankFull = 0.5 * \ @@ -836,25 +837,246 @@ def SplitRouting(self, SideflowChan): return + # def MCTRouting(self,ChanQMCT,SideflowChanMCT): + # ChanQMCTPcr=decompress(ChanQMCT) #pcr + # ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) + # # calc contribution from upstream pixels (dim=all pixels) + # # LddChan is necessary to include Kin pixels contributing to MCT pixels + # + # x = np.ma.masked_where(self.var.IsChannelKinematic,ChanQMCTUp) + # y = x.compressed() + # # only include upstream contributions for MCT pixels (dim=MCTpix) + # + # xside = np.ma.masked_where(self.var.IsChannelKinematic,SideflowChanMCT) + # yside = xside.compressed() + # # calc side contributions for MCT pixels only (dim=MCTpix) + # + # z = y + yside + # # calc routing for MCT pixels only (dim=MCTpix) + # + # x[~x.mask] = z + # # explode results the the MCT pixels mask (dim=all) + # ChanQMCT = x.data + # # update results in vector (dim=all) + # + # ChanQQMCT = ChanQMCT.copy() + # ChanM3MCT = self.var.ChanM3Kin.copy() + # + # return ChanQMCT,ChanQQMCT,ChanM3MCT + def MCTRouting(self,ChanQMCT,SideflowChanMCT): - ChanQMCTPcr=decompress(ChanQMCT) + ChanQMCTPcr=decompress(ChanQMCT) #pcr ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) - # calc contribution from upstream pixels + # calc contribution from upstream pixels (dim=all pixels) + # LddChan is necessary to include Kin pixels contributing to MCT pixels x = np.ma.masked_where(self.var.IsChannelKinematic,ChanQMCTUp) y = x.compressed() + # only include upstream contributions for MCT pixels (dim=MCTpix) xside = np.ma.masked_where(self.var.IsChannelKinematic,SideflowChanMCT) yside = xside.compressed() + # calc side contributions for MCT pixels only (dim=MCTpix) z = y + yside - # tanto arriva tanto esce + # calc routing for MCT pixels only (dim=MCTpix) + + ################################################ + q = self.qdy(1.) + + ################################################ + x[~x.mask] = z + # explode results the the MCT pixels mask (dim=all) ChanQMCT = x.data + # update results in vector (dim=all) ChanQQMCT = ChanQMCT.copy() ChanM3MCT = self.var.ChanM3Kin.copy() return ChanQMCT,ChanQQMCT,ChanM3MCT + + + def scalax(self,q): + """Given a generic section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes + water depth (y), wet contour (Bx), wat area (Ax) and wave celerity (cel) using Newton-Raphson method. + q: steady-state discharge river discharge [m3/s] + Ax: wet area [m2] + Bx: cross-section width at water surface [m] + Px: cross-section wet contour [m] + cel: wave celerity [m/s] + + Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + + :return: + y,Ax,Bx,cel + """ + + # Characteristics of the channel cross-section + xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] + s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + alpha = 5./3. # exponent (5/3) + dt = self.var.DtSecChannel # computation timestep for channel [s] + Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] + ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] + Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + + pim = 1.57079632679 # pi/2 + eps = 1.e-06 + max_tries = 1000 + + rs0 = s0 ** .5 + usalpha = 1. / alpha + + # np.where(ANalv < pim, triang. or trapeiz., rectangular) + # cotangent(angle of the riverbed side - dXdY) + c = np.where(ANalv < pim, + # triangular or trapezoid cross-section + self.cotan(ANalv), + # rectangular corss-section + 0.) + + # sin(angle of the riverbed side - dXdY) + s = np.where(ANalv < pim, + # triangular or trapezoid cross-section + np.sin(ANalv), + # rectangular corss-section + 1.) + + # water depth first approximation y0 based on steady state q + y = np.where(Balv == 0, + # triangular cross-section + (Nalv * q / rs0) ** (3. / 8.) * (2 / s) ** .25 / c ** (5. / 8.), + # rectangular cross-section and first approx for trapezoidal cross-section + (Nalv * q / (rs0 * Balv)) ** usalpha + ) + + y = np.where(Balv != 0 & ANalv < pim, + # trapezoid cross-section + (Nalv * q / rs0) ** usalpha * (Balv + 2. * y / s) ** .4 / (Balv + c * y), + ) + + for tries in range(1,max_tries): + # calc Q(y) for the different tries of y + q0,Ax,Bx,Px,cel = self.qdy(y) + # this is the function we want to find the 0 for f(y)=Q(y)-Q* + fy = q0 - q + # calc first derivative of f(y) f'(y)=Bx(y)*cel(y) + dfy = Bx * cel + # calc update for water depth y + dy = fy / dfy + # update yt+1=yt-f'(yt)/f(yt) + y = y - dy + # stop loop if correction becomes too small + if abs(dy) < eps: break + + return y + + + def qdy(self,y): + """ Given a generic river cross-section (rectangular, triangular and trapezoidal) + and a water depth (y [m]) referred to the bottom of the riverbed, it uses Manning’s formula to calculate: + q: steady-state discharge river discharge [m3/s] + a: wet area [m2] + b: cross-section width at water surface [m] + p: cross-section wet contour [m] + cel: wave celerity [m/s] + + Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + :return: + q: steady-state discharge [m3/s] + """ + + # Characteristics of the channel cross-section + s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + alpha = 5./3. # exponent (5/3) + Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] + ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] + Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + pim = 1.57079632679 # pi/2 + + rs0 = s0 ** .5 + alpham = alpha - 1. + + # np.where(ANalv < pim, triang. or trapeiz., rectangular) + # cotangent(angle of the riverbed side - dXdY) + c = np.where(ANalv < pim, + # triangular or trapezoid cross-section + self.cotan(ANalv), + # rectangular corss-section + 0.) + # sin(angle of the riverbed side - dXdY) + s = np.where(ANalv < pim, + # triangular or trapezoid cross-section + np.sin(ANalv), + # rectangular corss-section + 1.) + + # if ANalv.lt.pim: + # Triangular or trapezoidal cross-section + # c = self.cotan(ANalv) + # s = np.sin(ANalv) + # else: + # Rectangular cross-section + # c = 0. + # s = 1. + + a = (Balv + y * c) * y # wet area [m2] + b = Balv + 2. * y * c # cross-section width at water surface [m] + p = Balv + 2. * y / s # cross-section wet contour [m] + q = rs0 / Nalv * a ** alpha / p ** alpham # steady-state discharge [m3/s] + cel = (q / 3.) * (5. / a - 4. / (p * b * s)) # wave celerity [m/s] + + return q,a,b,p,cel + + + def hdv(self,V): + """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and and a volume V, + it calculates the water depth referred to the bottom of the riverbed [m] (y). + + Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + :return: + y + """ + + # Characteristics of the channel cross-section + xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] + Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] + ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] + pim = 1.57079632679 # pi/2 + + c = np.where(ANalv < pim, # angle of the riverbed side dXdY [rad] + self.cotan(ANalv), # triangular or trapezoidal cross-section + 0.) # rectangular cross-section + + a = V / xpix # wet area [m2] + + # np.where(c < 1.d-6, rectangular, triangular or trapezoidal) + y = np.where(c < 1e-6, + a/Balv, # rectangular cross-section + (- Balv + ( Balv**2 + 4. * a * c)**.5)/(2. * c)) # triangular or trapezoidal cross-section + + return y + + + def cotan(self,x): + """There is no cotangent function in numpy""" + return np.cos(x) / np.sin(x) + + + def get_mct_pix(self,var): + """For any array (var) with all pixels, it masks the MCT pixels (x) and + reduces the dimension of the array (y). + :return: + y: same as input array (var) but only MCT pixels + """ + x = np.ma.masked_where(self.var.IsChannelKinematic,var) + y = x.compressed() + + return y + + + + From a27c8fc9a6acfd790c8978dc40b9dafd53884781 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 31 Mar 2023 18:47:24 +0000 Subject: [PATCH 009/134] Added core of the function for Muskingum-Cunge-Todini routing --- src/lisflood/Lisflood_initial.py | 6 +- src/lisflood/hydrological_modules/routing.py | 452 +++++++++++++------ 2 files changed, 305 insertions(+), 153 deletions(-) diff --git a/src/lisflood/Lisflood_initial.py b/src/lisflood/Lisflood_initial.py index 85df1e7b..336bd0eb 100644 --- a/src/lisflood/Lisflood_initial.py +++ b/src/lisflood/Lisflood_initial.py @@ -220,9 +220,9 @@ def __init__(self): # CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL self.surface_routing_module.initialSecond() - # if option.get('MCTRouting'): - # self.routing_module.initialMCT() - # # initialising Muskingum-Cunge-Todini routing for channel + if option.get('MCTRouting'): + self.routing_module.initialMCT() + # initialising Muskingum-Cunge-Todini routing for channel self.evapowater_module.initial() self.riceirrigation_module.initial() diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index f35eed85..8a8362c9 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -45,7 +45,8 @@ class routing(HydroModule): 'ChanSdXdY', 'TotalCrossSectionAreaInitValue', 'PrevDischarge'], 'SplitRouting': ['CrossSection2AreaInitValue', 'PrevSideflowInitValue', 'CalChanMan2'], 'dynamicWave': ['ChannelsDynamic'], - 'MCTRouting': ['ChannelsMCT']} + 'MCTRouting': ['ChannelsMCT','PrevQMCTinInitValue','PrevQMCToutInitValue','PrevCmMCTInitValue', + 'PrevDmMCTInitValue']} module_name = 'Routing' def __init__(self, routing_variable): @@ -441,75 +442,103 @@ def initialSecond(self): int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) - if option['InitLisflood'] and option['repMBTs']: - self.var.StorageStepINIT= self.var.ChanM3Kin - self.var.DischargeM3StructuresIni = maskinfo.in_zero() - if option['simulateReservoirs']: - self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - if option['simulateLakes']: - self.var.StorageStepINIT += self.var.LakeStorageIniM3 - self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) - - if not option['InitLisflood'] and option['repMBTs']: - DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - if not(option['SplitRouting']): - self.var.StorageStepINIT = self.var.ChanM3Kin - if option['simulateReservoirs']: - self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - if option['simulateLakes']: - self.var.StorageStepINIT += self.var.LakeStorageIniM3 - DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) - self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) - else: - self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start - if option['simulateReservoirs']: - self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - if option['simulateLakes']: - self.var.StorageStepINIT += self.var.LakeStorageIniM3 - self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) - - - # def initialMCT(self): - # """ initial part of the Muskingum-Kunge-Todini routing module - # """ - # settings = LisSettings.instance() - # option = settings.options - # binding = settings.binding - # - # self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel - # # ************************************************************ - # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ - # # ************************************************************ - # if option['MCTRouting']: - # - # # ************************************************************ - # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ - # # ************************************************************ - # if option['MCTRouting'] and option['SplitRouting']: - # print('initialMCT') - # ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') - # AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta - # self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) - # self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 - # # calculating second Alpha for second (virtual) channel - # - # if not(option['InitLisflood']): - # - # # use loadmap_base function as we don't want to cache avgdis it in the calibration - # self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') - # # Over bankful discharge starts at QLimit - # # set to mutiple of average discharge (map from prerun) - # # QSplitMult =2 is around 90 to 95% of Q - # - # self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) - # # Water volume in bankful when over bankful discharge starts - # - # #self.var.ChanM3Kin = ... - # - # #self.var.ChanQKin = ... - # - # # maskinfo = MaskInfo.instance() + # if option['InitLisflood'] and option['repMBTs']: + # self.var.StorageStepINIT= self.var.ChanM3Kin + # self.var.DischargeM3StructuresIni = maskinfo.in_zero() + # if option['simulateReservoirs']: + # self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + # if option['simulateLakes']: + # self.var.StorageStepINIT += self.var.LakeStorageIniM3 + # self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) + # + # if not option['InitLisflood'] and option['repMBTs']: + # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + # if not(option['SplitRouting']): + # self.var.StorageStepINIT = self.var.ChanM3Kin + # if option['simulateReservoirs']: + # self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + # if option['simulateLakes']: + # self.var.StorageStepINIT += self.var.LakeStorageIniM3 + # DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) + # self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) + # else: + # self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start + # if option['simulateReservoirs']: + # self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + # if option['simulateLakes']: + # self.var.StorageStepINIT += self.var.LakeStorageIniM3 + # self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) + + + def initialMCT(self): + """ initial part of the Muskingum-Kunge-Todini routing module + """ + settings = LisSettings.instance() + option = settings.options + binding = settings.binding + + self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel + # ************************************************************ + # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # ************************************************************ + if option['MCTRouting']: + # initialisation for MCT routing + PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT + self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, 0., PrevQMCTin) #np + PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT + self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, 0., PrevQMCTout) #np + + PrevCmMCT = loadmap('PrevCmMCTInitValue') # Cm for MCT + self.var.PrevCm0 = np.where(PrevCmMCT == -9999, 1., PrevCmMCT) #np + PrevDmMCT = loadmap('PrevDmMCTInitValue') # Dm for MCT + self.var.PrevDm0 = np.where(PrevDmMCT == -9999, 0., PrevDmMCT) #np + + + + + # def initialMCT(self): + # """ initial part of the Muskingum-Kunge-Todini routing module + # """ + # settings = LisSettings.instance() + # option = settings.options + # binding = settings.binding + # + # self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel + # # ************************************************************ + # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # # ************************************************************ + # if option['MCTRouting']: + # + # # ************************************************************ + # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # # ************************************************************ + # if option['MCTRouting'] and option['SplitRouting']: + # print('initialMCT') + # ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') + # AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta + # self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) + # self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 + # # calculating second Alpha for second (virtual) channel + # + # if not(option['InitLisflood']): + # + # # use loadmap_base function as we don't want to cache avgdis it in the calibration + # self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') + # # Over bankful discharge starts at QLimit + # # set to mutiple of average discharge (map from prerun) + # # QSplitMult =2 is around 90 to 95% of Q + # + # self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) + # # Water volume in bankful when over bankful discharge starts + # + # #self.var.ChanM3Kin = ... + # + # #self.var.ChanQKin = ... + # + # # maskinfo = MaskInfo.instance() + + # -------------------------------------------------------------------------- @@ -865,37 +894,122 @@ def SplitRouting(self, SideflowChan): # return ChanQMCT,ChanQQMCT,ChanM3MCT def MCTRouting(self,ChanQMCT,SideflowChanMCT): + """This function implements Muskingum-Cunge-Todini routing method + References: + Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. + (Chapter 5) + Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + (Appendix B) + """ + ChanQMCTPcr=decompress(ChanQMCT) #pcr ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) # calc contribution from upstream pixels (dim=all pixels) # LddChan is necessary to include Kin pixels contributing to MCT pixels - x = np.ma.masked_where(self.var.IsChannelKinematic,ChanQMCTUp) - y = x.compressed() - # only include upstream contributions for MCT pixels (dim=MCTpix) + # channel geometry + xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] + slp = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + dt = self.var.DtSecChannel # computation timestep for channel [s] + eps = 1e-06 - xside = np.ma.masked_where(self.var.IsChannelKinematic,SideflowChanMCT) - yside = xside.compressed() - # calc side contributions for MCT pixels only (dim=MCTpix) + # MCT Courant and Reynolds numbers from previous step + Cm0 = self.get_mct_pix(self.var.PrevCm0) + Dm0 = self.get_mct_pix(self.var.PrevDm0) - z = y + yside - # calc routing for MCT pixels only (dim=MCTpix) + dx = xpix - ################################################ - q = self.qdy(1.) + # instant discharge at channel input (I x=0) and channel output (O x=1) + # at the end of previous step I(t) and Q(t) and + # at the end of current step I(t+1) and Q(t+1) + # O(t) + q10 = self.get_mct_pix(self.var.PrevQMCTout) + # I(t+dt) + q01 = self.get_mct_pix(ChanQMCTUp) + self.get_mct_pix(SideflowChanMCT) + # I(t) + q00 = self.get_mct_pix(self.var.PrevQMCTin) - ################################################ + # Calc O' first guess for the outflow at time t+dt + # O'(t+dt)=O(t)+(I(t+dt)-I(t)) + q11 = q10 + (q01 - q00) + if q11 < 0: q11 = 0. + # calc reference discharge at time t + # qm0 = (I(t)+O(t))/2 + # qm0 = (q00 + q10) / 2. - x[~x.mask] = z - # explode results the the MCT pixels mask (dim=all) - ChanQMCT = x.data - # update results in vector (dim=all) + # Calc O(t+dt)=q11 at time t+dt using MCT equations + for i in range(2): # repeat 2 times for accuracy + + # reference I discharge at x=0 + qmx0 = (q00 + q01) / 2. + if qmx0 == 0: qmx0 = eps + hmx0 = self.scalax(qmx0) + + # reference O discharge at x=1 + qmx1 = (q10 + q11) / 2. + if qmx1 == 0: qmx1 = eps + hmx1 = self.scalax(qmx1) + + # # reference discharge at time t+dt + # # qmm = (I(t+dt)+O(t+dt))/2 + # qmm = (q01 + q11) / 2 + # if qmm == 0: qmm = eps + # hmm = self.scalax(qmm) + # dummy, Amm,Bmm,Pmm, cmm = self.qdy(hmm) + # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qdy(hmx0) + # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qdy(hmx1) + + # Calc riverbed slope correction factor + cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) + sfx = slp * cor + if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 + + # Calc reference discharge time t+dt + # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 + qm1 = (q01 + q11) / 2. + hm1 = self.scalax(qm1) + dummy, Ax1,Bx1,Px1,ck1 = self.qdy(hm1) + if (ck1 <= eps): ck1 = eps + + # Calc correcting factor Beta at time t+dt + Beta1 = ck1 / (qm1 / Ax1) + # calc corrected cell Reynolds number at time t+dt + Dm1 = qm1 / (sfx * ck1 * Bx1 * dx) / Beta1 + # corrected Courant number at time t+dt + Cm1 = ck1 * dt / dx / Beta1 - ChanQQMCT = ChanQMCT.copy() - ChanM3MCT = self.var.ChanM3Kin.copy() + # Calc MCT parameters + den = 1 + Cm1 + Dm1 + c1 = (-1 + Cm1 + Dm1) / den + c2 = (1 + Cm0 - Dm0) / den * (Cm1 / Cm0) + c3 = (1 - Cm0 + Dm0) / den * (Cm1 / Cm0) + c4 = (2 * Cm1) / den - return ChanQMCT,ChanQQMCT,ChanM3MCT + # Calc flow at time t+1 + q11 =c1 * q01 + c2 * q00 + c3 * q10 + + if (q11 < 0.): q11=0. + # end of loop + + k1 = dt / Cm1 + x1 = (1. - Dm1) / 2. + + # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt + V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 + # V0 = k1 * (x1 * q01 + (1. - x1) * q11) + if (V11 < 0): V11=0. + + # save Courant and Reynolds numbers at t+1 for state files + Cm0 = Cm1 + Dm0 = Dm1 + + ################################################ + + + ChanQMCT = self.put_mct_pix(q11,ChanQMCT) + + return ChanQMCT @@ -908,7 +1022,8 @@ def scalax(self,q): Px: cross-section wet contour [m] cel: wave celerity [m/s] - Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + Reference: + Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 :return: y,Ax,Bx,cel @@ -918,45 +1033,56 @@ def scalax(self,q): xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) alpha = 5./3. # exponent (5/3) - dt = self.var.DtSecChannel # computation timestep for channel [s] + dt = self.get_mct_pix(self.var.DtSecChannel) # computation timestep for channel [s] Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] - pim = 1.57079632679 # pi/2 eps = 1.e-06 max_tries = 1000 - rs0 = s0 ** .5 + rs0 = np.sqrt(s0) usalpha = 1. / alpha - # np.where(ANalv < pim, triang. or trapeiz., rectangular) - # cotangent(angle of the riverbed side - dXdY) - c = np.where(ANalv < pim, - # triangular or trapezoid cross-section - self.cotan(ANalv), - # rectangular corss-section - 0.) - - # sin(angle of the riverbed side - dXdY) - s = np.where(ANalv < pim, - # triangular or trapezoid cross-section - np.sin(ANalv), - # rectangular corss-section - 1.) - - # water depth first approximation y0 based on steady state q - y = np.where(Balv == 0, - # triangular cross-section - (Nalv * q / rs0) ** (3. / 8.) * (2 / s) ** .25 / c ** (5. / 8.), - # rectangular cross-section and first approx for trapezoidal cross-section - (Nalv * q / (rs0 * Balv)) ** usalpha - ) - - y = np.where(Balv != 0 & ANalv < pim, - # trapezoid cross-section - (Nalv * q / rs0) ** usalpha * (Balv + 2. * y / s) ** .4 / (Balv + c * y), - ) + # # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) + # # cotangent(angle of the riverbed side - dXdY) + # c = np.where(ANalv < np.pi/2, + # # triangular or trapezoid cross-section + # self.cotan(ANalv), + # # rectangular corss-section + # 0.) + # + # # sin(angle of the riverbed side - dXdY) + # s = np.where(ANalv < np.pi/2, + # # triangular or trapezoid cross-section + # np.sin(ANalv), + # # rectangular corss-section + # 1.) + # + # # water depth first approximation y0 based on steady state q + # y = np.where(Balv == 0, + # # triangular cross-section + # (Nalv * q / rs0)**(3. / 8.) * (2 / s)**.25 / c**(5. / 8.), + # # rectangular cross-section and first approx for trapezoidal cross-section + # (Nalv * q / (rs0 * Balv))**usalpha + # ) + # + # y = np.where(Balv != 0 & ANalv < np.pi/2, + # # trapezoid cross-section + # (Nalv * q / rs0)**usalpha * (Balv + 2. * y / s)**.4 / (Balv + c * y), + # ) + + if Balv == 0: + c = 1 / np.tan(ANalv) + s = np.sin(ANalv) + y = (Nalv * q / rs0)**(3 / 8) * (2 / s)**0.25 / c**(5 / 8) + else: + y = (Nalv * q / (rs0 * Balv))**usalpha + if ANalv < np.pi/2: + c = 1 / np.tan(ANalv) + s = np.sin(ANalv) + y = (Nalv * q / rs0)**usalpha * (Balv + 2 * y / s)**0.4 / (Balv + c * y) + for tries in range(1,max_tries): # calc Q(y) for the different tries of y @@ -970,7 +1096,7 @@ def scalax(self,q): # update yt+1=yt-f'(yt)/f(yt) y = y - dy # stop loop if correction becomes too small - if abs(dy) < eps: break + if np.abs(dy) < eps: break return y @@ -995,38 +1121,37 @@ def qdy(self,y): Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] - pim = 1.57079632679 # pi/2 - rs0 = s0 ** .5 + rs0 = np.sqrt(s0) alpham = alpha - 1. - # np.where(ANalv < pim, triang. or trapeiz., rectangular) - # cotangent(angle of the riverbed side - dXdY) - c = np.where(ANalv < pim, - # triangular or trapezoid cross-section - self.cotan(ANalv), - # rectangular corss-section - 0.) - # sin(angle of the riverbed side - dXdY) - s = np.where(ANalv < pim, - # triangular or trapezoid cross-section - np.sin(ANalv), - # rectangular corss-section - 1.) - - # if ANalv.lt.pim: - # Triangular or trapezoidal cross-section - # c = self.cotan(ANalv) - # s = np.sin(ANalv) - # else: - # Rectangular cross-section - # c = 0. - # s = 1. + # # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) + # # cotangent(angle of the riverbed side - dXdY) + # c = np.where(ANalv < np.pi/2, + # # triangular or trapezoid cross-section + # self.cotan(ANalv), + # # rectangular corss-section + # 0.) + # # sin(angle of the riverbed side - dXdY) + # s = np.where(ANalv < np.pi/2, + # # triangular or trapezoid cross-section + # np.sin(ANalv), + # # rectangular corss-section + # 1.) + + if ANalv < np.pi/2: + # triangular or trapezoid cross-section + c = 1 / np.tan(ANalv) + s = np.sin(ANalv) + else: + # rectangular corss-section + c = 0 + s = 1 a = (Balv + y * c) * y # wet area [m2] b = Balv + 2. * y * c # cross-section width at water surface [m] p = Balv + 2. * y / s # cross-section wet contour [m] - q = rs0 / Nalv * a ** alpha / p ** alpham # steady-state discharge [m3/s] + q = rs0 / Nalv * a**alpha / p**alpham # steady-state discharge [m3/s] cel = (q / 3.) * (5. / a - 4. / (p * b * s)) # wave celerity [m/s] return q,a,b,p,cel @@ -1045,18 +1170,25 @@ def hdv(self,V): xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] - pim = 1.57079632679 # pi/2 + eps = 1e-6 - c = np.where(ANalv < pim, # angle of the riverbed side dXdY [rad] + c = np.where(ANalv < np.pi/2, # angle of the riverbed side dXdY [rad] self.cotan(ANalv), # triangular or trapezoidal cross-section 0.) # rectangular cross-section a = V / xpix # wet area [m2] # np.where(c < 1.d-6, rectangular, triangular or trapezoidal) - y = np.where(c < 1e-6, - a/Balv, # rectangular cross-section - (- Balv + ( Balv**2 + 4. * a * c)**.5)/(2. * c)) # triangular or trapezoidal cross-section + # y = np.where(np.abs(c) < eps, + # a/Balv, # rectangular cross-section + # (-Balv + np.sqrt(Balv**2 + 4 * a * c)) / (2 * c)) # triangular or trapezoidal cross-section + + if np.abs(c) < eps: + # rectangular section + y = a / Balv + else: + # triangular or trapezoidal cross-section + y = (-Balv + np.sqrt(Balv**2 + 4 * a * c)) / (2 * c) return y @@ -1078,5 +1210,25 @@ def get_mct_pix(self,var): return y + def put_mct_pix(self,z,var): + """For any array (x) with MCT pixels, it puts the MCT pixels back and explodes + the dimension of the array. + :return: + z: same as input array (var) but only all pixels + """ + x = np.ma.masked_where(self.var.IsChannelKinematic, var) + x[~x.mask] = z + # explode results the the MCT pixels mask (dim=all) + y = x.data + # update results in vector (dim=all) + return y + + def qdv(self,V): + """ Given a generic river cross-section (rectangular, triangular and trapezoidal) + and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). + """ + y = self.hdv(V) + q, a, b, p, cel = self.qdy(y) + return q From d67b56ec5aaa757b1085b7edcb498a639788641d Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 31 Mar 2023 19:39:36 +0000 Subject: [PATCH 010/134] Bugfix FORTRAN->Python3 --- src/lisflood/hydrological_modules/routing.py | 148 ++++++++----------- 1 file changed, 64 insertions(+), 84 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8a8362c9..24f242a7 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -485,14 +485,14 @@ def initialMCT(self): if option['MCTRouting']: # initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT - self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, 0., PrevQMCTin) #np + self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, self.var.ChanQKin * 0, PrevQMCTin) #np PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT - self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, 0., PrevQMCTout) #np + self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, self.var.ChanQKin * 0, PrevQMCTout) #np PrevCmMCT = loadmap('PrevCmMCTInitValue') # Cm for MCT - self.var.PrevCm0 = np.where(PrevCmMCT == -9999, 1., PrevCmMCT) #np + self.var.PrevCm0 = np.where(PrevCmMCT == -9999, self.var.ChanQKin/self.var.ChanQKin, PrevCmMCT) #np PrevDmMCT = loadmap('PrevDmMCTInitValue') # Dm for MCT - self.var.PrevDm0 = np.where(PrevDmMCT == -9999, 0., PrevDmMCT) #np + self.var.PrevDm0 = np.where(PrevDmMCT == -9999, self.var.ChanQKin * 0, PrevDmMCT) #np @@ -932,7 +932,9 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # Calc O' first guess for the outflow at time t+dt # O'(t+dt)=O(t)+(I(t+dt)-I(t)) q11 = q10 + (q01 - q00) - if q11 < 0: q11 = 0. + #if q11 < 0: q11 = 0. + # check for negative discharge values + q11 = [0 if i < 0 else i for i in q11] # calc reference discharge at time t # qm0 = (I(t)+O(t))/2 @@ -943,18 +945,21 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # reference I discharge at x=0 qmx0 = (q00 + q01) / 2. - if qmx0 == 0: qmx0 = eps + # if qmx0 == 0: qmx0 = eps + qmx0 = [0 if i < 0 else i for i in qmx0] hmx0 = self.scalax(qmx0) # reference O discharge at x=1 qmx1 = (q10 + q11) / 2. - if qmx1 == 0: qmx1 = eps + # if qmx1 == 0: qmx1 = eps + qmx1 = [0 if i < 0 else i for i in qmx1] hmx1 = self.scalax(qmx1) # # reference discharge at time t+dt # # qmm = (I(t+dt)+O(t+dt))/2 # qmm = (q01 + q11) / 2 # if qmm == 0: qmm = eps + # qmm = [0 if i < 0 else i for i in qmm] # hmm = self.scalax(qmm) # dummy, Amm,Bmm,Pmm, cmm = self.qdy(hmm) # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qdy(hmx0) @@ -963,14 +968,16 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # Calc riverbed slope correction factor cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) sfx = slp * cor - if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 + # if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 + sfx = [0.8 * slp if i < (0.8 * slp) else i for i in sfx] # Calc reference discharge time t+dt # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 qm1 = (q01 + q11) / 2. hm1 = self.scalax(qm1) dummy, Ax1,Bx1,Px1,ck1 = self.qdy(hm1) - if (ck1 <= eps): ck1 = eps + # if (ck1 <= eps): ck1 = eps + ck1 = [eps if i < eps else i for i in ck1] # Calc correcting factor Beta at time t+dt Beta1 = ck1 / (qm1 / Ax1) @@ -989,7 +996,8 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # Calc flow at time t+1 q11 =c1 * q01 + c2 * q00 + c3 * q10 - if (q11 < 0.): q11=0. + # if (q11 < 0.): q11=0. + q11 = [0 if i < 0 else i for i in q11] # end of loop k1 = dt / Cm1 @@ -998,7 +1006,8 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 # V0 = k1 * (x1 * q01 + (1. - x1) * q11) - if (V11 < 0): V11=0. + # if (V11 < 0): V11=0. + V11 = [0 if i < 0 else i for i in V11] # save Courant and Reynolds numbers at t+1 for state files Cm0 = Cm1 @@ -1033,7 +1042,6 @@ def scalax(self,q): xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) alpha = 5./3. # exponent (5/3) - dt = self.get_mct_pix(self.var.DtSecChannel) # computation timestep for channel [s] Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] @@ -1044,45 +1052,32 @@ def scalax(self,q): rs0 = np.sqrt(s0) usalpha = 1. / alpha - # # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) - # # cotangent(angle of the riverbed side - dXdY) - # c = np.where(ANalv < np.pi/2, - # # triangular or trapezoid cross-section - # self.cotan(ANalv), - # # rectangular corss-section - # 0.) - # - # # sin(angle of the riverbed side - dXdY) - # s = np.where(ANalv < np.pi/2, - # # triangular or trapezoid cross-section - # np.sin(ANalv), - # # rectangular corss-section - # 1.) - # - # # water depth first approximation y0 based on steady state q - # y = np.where(Balv == 0, - # # triangular cross-section - # (Nalv * q / rs0)**(3. / 8.) * (2 / s)**.25 / c**(5. / 8.), - # # rectangular cross-section and first approx for trapezoidal cross-section - # (Nalv * q / (rs0 * Balv))**usalpha - # ) - # - # y = np.where(Balv != 0 & ANalv < np.pi/2, - # # trapezoid cross-section - # (Nalv * q / rs0)**usalpha * (Balv + 2. * y / s)**.4 / (Balv + c * y), - # ) - - if Balv == 0: - c = 1 / np.tan(ANalv) - s = np.sin(ANalv) - y = (Nalv * q / rs0)**(3 / 8) * (2 / s)**0.25 / c**(5 / 8) - else: - y = (Nalv * q / (rs0 * Balv))**usalpha - if ANalv < np.pi/2: - c = 1 / np.tan(ANalv) - s = np.sin(ANalv) - y = (Nalv * q / rs0)**usalpha * (Balv + 2 * y / s)**0.4 / (Balv + c * y) - + # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) + # cotangent(angle of the riverbed side - dXdY) + c = np.where(ANalv < np.pi/2, + # triangular or trapezoid cross-section + self.cotan(ANalv), + # rectangular corss-section + 0.) + + # sin(angle of the riverbed side - dXdY) + s = np.where(ANalv < np.pi/2, + # triangular or trapezoid cross-section + np.sin(ANalv), + # rectangular corss-section + 1.) + + # water depth first approximation y0 based on steady state q + y = np.where(Balv == 0, + # triangular cross-section + (Nalv * q / rs0)**(3. / 8.) * (2 / s)**.25 / c**(5. / 8.), + # rectangular cross-section and first approx for trapezoidal cross-section + (Nalv * q / (rs0 * Balv))**usalpha) + + y = np.where((Balv != 0) & (ANalv < np.pi/2), + # trapezoid cross-section + (Nalv * q / rs0)**usalpha * (Balv + 2. * y / s)**.4 / (Balv + c * y), + y) for tries in range(1,max_tries): # calc Q(y) for the different tries of y @@ -1096,7 +1091,8 @@ def scalax(self,q): # update yt+1=yt-f'(yt)/f(yt) y = y - dy # stop loop if correction becomes too small - if np.abs(dy) < eps: break + # if np.abs(dy) < eps: break + if all(i < eps for i in dy): break return y @@ -1125,28 +1121,19 @@ def qdy(self,y): rs0 = np.sqrt(s0) alpham = alpha - 1. - # # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) - # # cotangent(angle of the riverbed side - dXdY) - # c = np.where(ANalv < np.pi/2, - # # triangular or trapezoid cross-section - # self.cotan(ANalv), - # # rectangular corss-section - # 0.) - # # sin(angle of the riverbed side - dXdY) - # s = np.where(ANalv < np.pi/2, - # # triangular or trapezoid cross-section - # np.sin(ANalv), - # # rectangular corss-section - # 1.) - - if ANalv < np.pi/2: - # triangular or trapezoid cross-section - c = 1 / np.tan(ANalv) - s = np.sin(ANalv) - else: - # rectangular corss-section - c = 0 - s = 1 + # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) + # cotangent(angle of the riverbed side - dXdY) + c = np.where(ANalv < np.pi/2, + # triangular or trapezoid cross-section + self.cotan(ANalv), + # rectangular corss-section + 0.) + # sin(angle of the riverbed side - dXdY) + s = np.where(ANalv < np.pi/2, + # triangular or trapezoid cross-section + np.sin(ANalv), + # rectangular corss-section + 1.) a = (Balv + y * c) * y # wet area [m2] b = Balv + 2. * y * c # cross-section width at water surface [m] @@ -1179,16 +1166,9 @@ def hdv(self,V): a = V / xpix # wet area [m2] # np.where(c < 1.d-6, rectangular, triangular or trapezoidal) - # y = np.where(np.abs(c) < eps, - # a/Balv, # rectangular cross-section - # (-Balv + np.sqrt(Balv**2 + 4 * a * c)) / (2 * c)) # triangular or trapezoidal cross-section - - if np.abs(c) < eps: - # rectangular section - y = a / Balv - else: - # triangular or trapezoidal cross-section - y = (-Balv + np.sqrt(Balv**2 + 4 * a * c)) / (2 * c) + y = np.where(np.abs(c) < eps, + a/Balv, # rectangular cross-section + (-Balv + np.sqrt(Balv**2 + 4 * a * c)) / (2 * c)) # triangular or trapezoidal cross-section return y From 1060c65a8439123230884dff5c960a3ecc7c4d2c Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 5 Apr 2023 15:37:23 +0000 Subject: [PATCH 011/134] MCT inputs/outputs and bugfixes --- src/lisflood/hydrological_modules/routing.py | 64 +++++++++++++------- 1 file changed, 41 insertions(+), 23 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 24f242a7..84df88b9 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -643,8 +643,12 @@ def dynamic(self, NoRoutingExecuted): #ChanM3KinNp = self.var.ChanM3Kin.copy() ChanQKinOut,ChanQOut,ChanM3KinOut = self.KinematicRouting(ChanQKinIn,SideflowChan) + # updating variables for next step + # instant Q at end of calc step self.var.ChanQKin = ChanQKinOut + # volume V at end of calc step self.var.ChanM3Kin = ChanM3KinOut + # instant Q at end of calc step self.var.ChanQ = ChanQOut self.var.sumDisDay += self.var.ChanQ @@ -666,12 +670,19 @@ def dynamic(self, NoRoutingExecuted): # MCT routing ChanQMCTIn = self.var.ChanQKin.copy() - ChanQMCTOut,ChanQQMCTOut,ChanM3MCTOut = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) + ChanQMCTout,ChanM3MCTout, Cmout, Dmout = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) + self.var.PrevQMCTin = ChanQMCTIn + self.var.PrevQMCTout = ChanQMCTout + self.var.PrevCm0 = Cmout + self.var.prevDm0 = Dmout # combine results - self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTOut) - self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTOut) - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQQMCTOut) + # instant Q at end of calc step + self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTout) + # volume V at end of calc step + self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTout) + # instant Q at end of calc step + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQMCTout) self.var.sumDisDay += self.var.ChanQ @@ -913,7 +924,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): dt = self.var.DtSecChannel # computation timestep for channel [s] eps = 1e-06 - # MCT Courant and Reynolds numbers from previous step + # MCT Courant and Reynolds numbers from previous step (MCT pixels) Cm0 = self.get_mct_pix(self.var.PrevCm0) Dm0 = self.get_mct_pix(self.var.PrevDm0) @@ -934,7 +945,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): q11 = q10 + (q01 - q00) #if q11 < 0: q11 = 0. # check for negative discharge values - q11 = [0 if i < 0 else i for i in q11] + q11 = np.maximum(q11, 0) # calc reference discharge at time t # qm0 = (I(t)+O(t))/2 @@ -946,13 +957,13 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # reference I discharge at x=0 qmx0 = (q00 + q01) / 2. # if qmx0 == 0: qmx0 = eps - qmx0 = [0 if i < 0 else i for i in qmx0] + qmx0 = np.maximum(qmx0, 0) hmx0 = self.scalax(qmx0) # reference O discharge at x=1 qmx1 = (q10 + q11) / 2. # if qmx1 == 0: qmx1 = eps - qmx1 = [0 if i < 0 else i for i in qmx1] + qmx1 = np.maximum(qmx1, 0) hmx1 = self.scalax(qmx1) # # reference discharge at time t+dt @@ -969,7 +980,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) sfx = slp * cor # if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 - sfx = [0.8 * slp if i < (0.8 * slp) else i for i in sfx] + sfx = np.where(sfx < (0.8 * slp), 0.8 * slp, sfx) # Calc reference discharge time t+dt # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 @@ -977,7 +988,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): hm1 = self.scalax(qm1) dummy, Ax1,Bx1,Px1,ck1 = self.qdy(hm1) # if (ck1 <= eps): ck1 = eps - ck1 = [eps if i < eps else i for i in ck1] + ck1 = np.where(ck1 < eps, eps, ck1) # Calc correcting factor Beta at time t+dt Beta1 = ck1 / (qm1 / Ax1) @@ -997,7 +1008,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): q11 =c1 * q01 + c2 * q00 + c3 * q10 # if (q11 < 0.): q11=0. - q11 = [0 if i < 0 else i for i in q11] + q11 = np.maximum(q11, 0) # end of loop k1 = dt / Cm1 @@ -1005,9 +1016,9 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 - # V0 = k1 * (x1 * q01 + (1. - x1) * q11) + # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same! # if (V11 < 0): V11=0. - V11 = [0 if i < 0 else i for i in V11] + V11 = np.maximum(V11, 0) # save Courant and Reynolds numbers at t+1 for state files Cm0 = Cm1 @@ -1016,9 +1027,13 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): ################################################ - ChanQMCT = self.put_mct_pix(q11,ChanQMCT) + ChanQMCTout = self.put_mct_pix(q11) + Cmout = self.put_mct_pix(Cm0) + Dmout = self.put_mct_pix(Dm0) + ChanM3MCTout = self.put_mct_pix(V11) - return ChanQMCT + + return ChanQMCTout,ChanM3MCTout, Cmout, Dmout @@ -1092,7 +1107,7 @@ def scalax(self,q): y = y - dy # stop loop if correction becomes too small # if np.abs(dy) < eps: break - if all(i < eps for i in dy): break + if all(abs(i) < eps for i in dy): break return y @@ -1152,7 +1167,6 @@ def hdv(self,V): :return: y """ - # Characteristics of the channel cross-section xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] @@ -1190,19 +1204,23 @@ def get_mct_pix(self,var): return y - def put_mct_pix(self,z,var): - """For any array (x) with MCT pixels, it puts the MCT pixels back and explodes - the dimension of the array. + def put_mct_pix(self,var): + """For any array (var) with MCT pixels only, explodes dimension to all pixels and puts values from array var + in the corresponting MCT pixels. + Uses self.var.IsChannelKinematic to define MCT pixels + Uses self.var.ChanGrad as a dummy array of dimension all pixels :return: - z: same as input array (var) but only all pixels + y: same as input array (var) but only all pixels """ - x = np.ma.masked_where(self.var.IsChannelKinematic, var) - x[~x.mask] = z + zeros_array = np.zeros(self.var.IsChannelKinematic.shape) + x = np.ma.masked_where(self.var.IsChannelKinematic, zeros_array) + x[~x.mask] = var # explode results the the MCT pixels mask (dim=all) y = x.data # update results in vector (dim=all) return y + def qdv(self,V): """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). From 0282a55de0cc86bfdc3e9bd67261e138016642b0 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 5 Apr 2023 18:44:00 +0000 Subject: [PATCH 012/134] Added documentation for Kinematic routing --- src/lisflood/hydrological_modules/routing.py | 94 +++++++++++++++++--- 1 file changed, 80 insertions(+), 14 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 84df88b9..12f0b975 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -228,6 +228,18 @@ def initial(self): ChanDepthThreshold = loadmap('ChanDepthThreshold') ChanSdXdY = loadmap('ChanSdXdY') self.var.ChanSdXdY = loadmap('ChanSdXdY') + + + + + # #cm + # self.var.ChanSdXdY = self.var.ChanSdXdY * 0 # sezione rettangolare + # self.var.ChanBottomWidth = self.var.ChanBottomWidth * 0 # sezione tringolare + # #cm + + + + self.var.ChanUpperWidth = self.var.ChanBottomWidth + 2 * ChanSdXdY * ChanDepthThreshold # Channel upper width [m] self.var.TotalCrossSectionAreaBankFull = 0.5 * \ @@ -261,7 +273,9 @@ def initial(self): # Following calculations are needed to calculate Alpha parameter in kinematic # wave. Alpha currently fixed at half of bankful depth (this may change in # future versions!) - + # Manning's steady state flow equations + # from Ven The Chow - Applied Hydrology - page 283 + # https: // wecivilengineers.files.wordpress.com / 2017 / 10 / applied - hydrology - ven - te - chow.pdf ChanWaterDepthAlpha = np.where(self.var.IsChannel, 0.5 * ChanDepthThreshold, 0.0) # Reference water depth for calculation of Alpha: half of bankfull self.var.ChanWettedPerimeterAlpha = self.var.ChanBottomWidth + 2 * \ @@ -670,7 +684,7 @@ def dynamic(self, NoRoutingExecuted): # MCT routing ChanQMCTIn = self.var.ChanQKin.copy() - ChanQMCTout,ChanM3MCTout, Cmout, Dmout = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) + ChanQMCTout,ChanM3MCTout,ChanQMCTave, Cmout, Dmout = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) self.var.PrevQMCTin = ChanQMCTIn self.var.PrevQMCTout = ChanQMCTout self.var.PrevCm0 = Cmout @@ -681,8 +695,8 @@ def dynamic(self, NoRoutingExecuted): self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTout) # volume V at end of calc step self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTout) - # instant Q at end of calc step - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQMCTout) + # average Q for the calc step + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQMCTave, ChanQMCTout) self.var.sumDisDay += self.var.ChanQ @@ -790,6 +804,28 @@ def dynamic(self, NoRoutingExecuted): def KinematicRouting(self,ChanQKin,SideflowChan): + """Based on pcraster functions kinwavestate, kinwaveflux. New flows are determined based on flows in the previous timestep. + The interface of kinwave accepts a state as input parameter (amount of water in the cell at the beginning of the timestep) and calculates + a state (amount of water in the cell at the end of the timestep) and a flux (flow integrated over the entire timestep) + and thus corresponds to the state-flux framework of the mentioned pcraster functions. + (https://svn.oss.deltares.nl/repos/openearthtools/trunk/programs/DRIHM/HBV/bin/hbv/openstreams_2013/software/pcraster/pcraster-4.0.0-beta-20131030_x86-64_lsbcc-4/doc/manual/op_kinwave.html) + self.river_router.kinematicWaveRouting is a wrapper for kinwaveflux. + Given the average flow at the end of the computation step, the corresponding amount of water in the cell (at the end of the timestep) + is calculated using Manning's equation for steady state flow (Chow): + A = alpha * Q**beta + V = chanlength * alpha * Q**beta + Given a volume of water in the channel, the corresponding (average) discharge is calculated using Manning's equation for steady state flow (Chow): + ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + Q = (V / chanlength /alpha)**(1/beta) + Takes: + ChanQKin = average flow (over the previous step as input, at the end of current step as output) [m3/sec] + SideflowChan = lateral inflow into the channel segment (cell) [m3/channellength/sec] + :returns + ChanQKin = flow integrated over the entire timestep (average) + ChanQ = ChanQKin + ChanM3Kin = amount of water in the cell at the end of the timestep (instant) + """ + # ---- Single Routing --------------- # No split routing # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) @@ -797,16 +833,19 @@ def KinematicRouting(self,ChanQKin,SideflowChan): #self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") self.river_router.kinematicWaveRouting(ChanQKin, SideflowChan, "main_channel") + # ChanQKin is outflow integrated over the entire timestep (average) #self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin**self.var.Beta ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin**self.var.Beta - # Volume in channel at end of computation step + # ChanM3Kin is the Volume in channel at end of computation step (instant) #self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) ChanM3Kin = np.maximum(ChanM3Kin, 0.0) # Check for negative volumes at the end of computation step + #self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # Update outflow (average) after removing negative volumes. # Correct negative discharge at the end of computation step # self.var.ChanQ = self.var.ChanQKin.copy() @@ -904,7 +943,7 @@ def SplitRouting(self, SideflowChan): # # return ChanQMCT,ChanQQMCT,ChanM3MCT - def MCTRouting(self,ChanQMCT,SideflowChanMCT): + def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3): """This function implements Muskingum-Cunge-Todini routing method References: Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. @@ -913,6 +952,14 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): (Appendix B) """ + # #cm + # ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) + # ChanM3 = self.get_mct_pix(self.var.ChanM3) + # h = self.hdv(ChanM3) + # q_h, a, b, p, cel = self.qdy(h) + # q_V = self.qdv(ChanM3) + # #cm + ChanQMCTPcr=decompress(ChanQMCT) #pcr ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) # calc contribution from upstream pixels (dim=all pixels) @@ -930,6 +977,9 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): dx = xpix + # channel storage at the beginning of the computation step (t) + ChanM300 = self.get_mct_pix(self.var.ChanM3) + # instant discharge at channel input (I x=0) and channel output (O x=1) # at the end of previous step I(t) and Q(t) and # at the end of current step I(t+1) and Q(t+1) @@ -1026,14 +1076,21 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT): ################################################ + # Calc the average Qout for calc step + qout_ave = q01 - (V11 - ChanM300)/dt + # Check for negative discharge + qout_ave = np.where(qout_ave < 0, 0, qout_ave) + # Update volume when negative discharge is set =0 + V11 = ChanM300 + (q01 - qout_ave) * dt + ChanQMCTout = self.put_mct_pix(q11) Cmout = self.put_mct_pix(Cm0) Dmout = self.put_mct_pix(Dm0) ChanM3MCTout = self.put_mct_pix(V11) + ChanQMCTave = self.put_mct_pix(qout_ave) - - return ChanQMCTout,ChanM3MCTout, Cmout, Dmout + return ChanQMCTout,ChanM3MCTout,ChanQMCTave, Cmout, Dmout @@ -1058,7 +1115,8 @@ def scalax(self,q): s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) alpha = 5./3. # exponent (5/3) Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] + ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side + ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] eps = 1.e-06 @@ -1107,7 +1165,8 @@ def scalax(self,q): y = y - dy # stop loop if correction becomes too small # if np.abs(dy) < eps: break - if all(abs(i) < eps for i in dy): break + if all(abs(i) < eps for i in dy): + break return y @@ -1130,7 +1189,8 @@ def qdy(self,y): s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) alpha = 5./3. # exponent (5/3) Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] + ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side + ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] rs0 = np.sqrt(s0) @@ -1141,7 +1201,7 @@ def qdy(self,y): c = np.where(ANalv < np.pi/2, # triangular or trapezoid cross-section self.cotan(ANalv), - # rectangular corss-section + # rectangular cross-section 0.) # sin(angle of the riverbed side - dXdY) s = np.where(ANalv < np.pi/2, @@ -1170,10 +1230,11 @@ def hdv(self,V): # Characteristics of the channel cross-section xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ANalv = self.get_mct_pix(self.var.ChanSdXdY) # angle of the riverbed side [rad] + ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side + ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] eps = 1e-6 - c = np.where(ANalv < np.pi/2, # angle of the riverbed side dXdY [rad] + c = np.where(ANalv < np.pi/2, # angle of the riverbed side dXdY [rad] self.cotan(ANalv), # triangular or trapezoidal cross-section 0.) # rectangular cross-section @@ -1229,4 +1290,9 @@ def qdv(self,V): q, a, b, p, cel = self.qdy(y) return q + def rad_from_dxdy(self,dxdy): + rad = np.arctan(1 / dxdy) + angle = np.rad2deg(rad) + return rad + From a779a7bcde6274c9c9510482e0c4eb33bd09d707 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 14 Apr 2023 17:08:03 +0000 Subject: [PATCH 013/134] Calc average outflow for kinematic routing --- src/lisflood/hydrological_modules/routing.py | 160 ++++++++++++------- 1 file changed, 99 insertions(+), 61 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 12f0b975..eb6e96d4 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -379,6 +379,7 @@ def initial(self): self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # initialise channel discharge: cold start: equal to ChanQKin # [m3/s] + # outflow at the end of previous time step (instant) # Initialising cumulative output variables # These are all needed to compute the cumulative mass balance error @@ -500,9 +501,10 @@ def initialMCT(self): # initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, self.var.ChanQKin * 0, PrevQMCTin) #np + # MCT inflow at time t0 PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, self.var.ChanQKin * 0, PrevQMCTout) #np - + # MCT outflow at time t0 PrevCmMCT = loadmap('PrevCmMCTInitValue') # Cm for MCT self.var.PrevCm0 = np.where(PrevCmMCT == -9999, self.var.ChanQKin/self.var.ChanQKin, PrevCmMCT) #np PrevDmMCT = loadmap('PrevDmMCTInitValue') # Dm for MCT @@ -638,11 +640,16 @@ def dynamic(self, NoRoutingExecuted): SideflowChan = np.where(self.var.IsChannelKinematic, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) # Sideflow expressed in [cu m /s / m channel length] + + # Calc sideflow for MCT cells if option['MCTRouting']: SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) else: SideflowChanMCT = 0 - # Sideflow for MCT cells + + # cm + SideflowChanMCT = 0 + # cm # ************************************************************ @@ -653,19 +660,26 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING ONLY - InitLisflood if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): # Kinematic routing - ChanQKinIn = self.var.ChanQKin.copy() - #ChanM3KinNp = self.var.ChanM3Kin.copy() - ChanQKinOut,ChanQOut,ChanM3KinOut = self.KinematicRouting(ChanQKinIn,SideflowChan) + ChanQKinOutStart = self.var.ChanQKin.copy() + # Outflow at time t (instant) + # ChanM3KinStart = self.var.ChanM3Kin.copy() + # Channel storage at time t (instant) + ChanQKinOut,ChanQKinOutAve,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) # updating variables for next step - # instant Q at end of calc step - self.var.ChanQKin = ChanQKinOut - # volume V at end of calc step - self.var.ChanM3Kin = ChanM3KinOut - # instant Q at end of calc step - self.var.ChanQ = ChanQOut + self.var.ChanQKin = ChanQKinOut.copy() + # Outflow Q at time t+1 (end of calc step) (instant) + self.var.ChanM3Kin = ChanM3KinOut.copy() + # Channel storage V at time t+1 (end of calc step) (instant) - self.var.sumDisDay += self.var.ChanQ + # same as ChanQKinOut for Kinematic routing + # Outflow at the end of computation step (instant) + self.var.ChanQ = ChanQKinOut.copy() + + #self.var.sumDisDay += self.var.ChanQ + self.var.sumDisDay += self.var.ChanQKinOutAve.copy() #cm + # using average discharge on computation step + # sum of outflow on model step # SPLIT ROUTING - no InitLisfllod @@ -678,25 +692,30 @@ def dynamic(self, NoRoutingExecuted): if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): # Kinematic routing - ChanQKinIn = self.var.ChanQKin.copy() - #ChanM3KinNp = self.var.ChanM3Kin.copy() - ChanQKinOut,ChanQOut,ChanM3KinOut = self.KinematicRouting(ChanQKinIn,SideflowChan) + ChanQKinOutStart = self.var.ChanQKin.copy() + # Outflow at time t (instant) + # ChanM3KinIn = self.var.ChanM3Kin.copy() + # Channel storage at time t (instant) + ChanQKinOut,ChanQKinOutAve,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) # MCT routing - ChanQMCTIn = self.var.ChanQKin.copy() - ChanQMCTout,ChanM3MCTout,ChanQMCTave, Cmout, Dmout = self.MCTRouting(ChanQMCTIn,SideflowChanMCT) + ChanQMCTOutStart = self.var.ChanQKin.copy() + # Outflow at time t + ChanM3Start = self.var.ChanM3.copy() + # Channel storage at time t + ChanQMCTOut,ChanQMCTOutAve,ChanM3MCTOut,Cmout, Dmout = self.MCTRouting(ChanQMCTOutStart,SideflowChanMCT,ChanM3Start) self.var.PrevQMCTin = ChanQMCTIn - self.var.PrevQMCTout = ChanQMCTout + self.var.PrevQMCTout = ChanQMCTOut self.var.PrevCm0 = Cmout self.var.prevDm0 = Dmout # combine results # instant Q at end of calc step - self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTout) + self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTOut) # volume V at end of calc step - self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTout) + self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTOut) # average Q for the calc step - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQMCTave, ChanQMCTout) + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQMCTOutAve) self.var.sumDisDay += self.var.ChanQ @@ -707,6 +726,7 @@ def dynamic(self, NoRoutingExecuted): # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- ''' + option['repMBTs']=True if option['repMBTs']: if option['InitLisflood'] or (not(option['SplitRouting'])): if NoRoutingExecuted == (self.var.NoRoutSteps-1): @@ -742,6 +762,9 @@ def dynamic(self, NoRoutingExecuted): MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] ''' + + # ---- Uncomment lines in order to compute the mass balance error within the routing module for the options split routing ---- + ''' if option['repMBTs']: if (not(option['InitLisflood'])) and (option['SplitRouting']): # compute the mass balance at the last of the sub-routing steps in order to account for the contributions of lakes and reservoirs @@ -788,8 +811,9 @@ def dynamic(self, NoRoutingExecuted): QoutCorrection[self.var.AtLastPointC == 0] = 0 self.var.OutletDischargeErrorSplitRouting = np.take(np.bincount(self.var.Catchments,weights=QoutCorrection),self.var.Catchments) - self.var.StorageStepINIT= StorageStep1.copy()+DischargeM3StructuresR - + self.var.StorageStepINIT= StorageStep1.copy()+DischargeM3StructuresR + ''' + self.var.FlowVelocity = np.minimum(self.var.ChanQKin/TotalCrossSectionArea, 0.36*self.var.ChanQKin**0.24) # Channel velocity (m/s); dividing Q (m3/s) by CrossSectionArea (m2) @@ -804,26 +828,21 @@ def dynamic(self, NoRoutingExecuted): def KinematicRouting(self,ChanQKin,SideflowChan): - """Based on pcraster functions kinwavestate, kinwaveflux. New flows are determined based on flows in the previous timestep. - The interface of kinwave accepts a state as input parameter (amount of water in the cell at the beginning of the timestep) and calculates - a state (amount of water in the cell at the end of the timestep) and a flux (flow integrated over the entire timestep) - and thus corresponds to the state-flux framework of the mentioned pcraster functions. - (https://svn.oss.deltares.nl/repos/openearthtools/trunk/programs/DRIHM/HBV/bin/hbv/openstreams_2013/software/pcraster/pcraster-4.0.0-beta-20131030_x86-64_lsbcc-4/doc/manual/op_kinwave.html) - self.river_router.kinematicWaveRouting is a wrapper for kinwaveflux. - Given the average flow at the end of the computation step, the corresponding amount of water in the cell (at the end of the timestep) - is calculated using Manning's equation for steady state flow (Chow): + """Based on a 4-point implicit finite-difference solution of the kinematic wave equations. + Given the instantaneous flow rate (discharge), the corresponding amount of water stored in the channel + is calculated using Manning equation for steady state flow where Alpha is currently fixed + at half of bankful depth. + See: Te Chow, V. and Maidment, D.R. and Mays, L.W. (1988). Applied Hydrology. McGraw-Hill. (Sec. 9.6) + https://ponce.sdsu.edu/Applied_Hydrology_Chow_1988.pdf A = alpha * Q**beta V = chanlength * alpha * Q**beta - Given a volume of water in the channel, the corresponding (average) discharge is calculated using Manning's equation for steady state flow (Chow): - ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - Q = (V / chanlength /alpha)**(1/beta) Takes: - ChanQKin = average flow (over the previous step as input, at the end of current step as output) [m3/sec] + ChanQKin = inflow from upstream channels [m3/sec] (instant) SideflowChan = lateral inflow into the channel segment (cell) [m3/channellength/sec] :returns - ChanQKin = flow integrated over the entire timestep (average) - ChanQ = ChanQKin - ChanM3Kin = amount of water in the cell at the end of the timestep (instant) + ChanQKin = outflow at time t+dt (instant) [m3/s] + ChanQ = average outflow for calc step dt (average) [m3/s] + ChanM3Kin = amount of water stored in the channel at time t+dt (instant) [m3] """ # ---- Single Routing --------------- @@ -831,31 +850,45 @@ def KinematicRouting(self,ChanQKin,SideflowChan): # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! + #cm + # SideflowChan = 0 + #cm + + ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin ** self.var.Beta + # Volume in channel at beginning of computation step (at t) (instant) + ChanQKinOutStart = ChanQKin.copy() + # Outflow at time t + ChanQKinPcr=decompress(ChanQKin) #pcr + ChanQKinInStart=compressArray(upstream(self.var.LddChan,ChanQKinPcr)) + # Inflow at time t + #self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") self.river_router.kinematicWaveRouting(ChanQKin, SideflowChan, "main_channel") - # ChanQKin is outflow integrated over the entire timestep (average) + # ChanQKin is outflow (at x+dx) at time t+dt (instant) #self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin**self.var.Beta ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin**self.var.Beta - # ChanM3Kin is the Volume in channel at end of computation step (instant) + # ChanM3Kin is the Volume in channel at end of computation step (at t+dt) (instant) #self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) ChanM3Kin = np.maximum(ChanM3Kin, 0.0) # Check for negative volumes at the end of computation step + # Volume at time t+1 #self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Update outflow (average) after removing negative volumes. - # Correct negative discharge at the end of computation step + # Update instant outflow after removing negative volumes. + # Correct negative discharge at the end of computation step (instant) + # Outflow at time t+1 - # self.var.ChanQ = self.var.ChanQKin.copy() - ChanQ = ChanQKin.copy() - # at single kin. ChanQ is the same - # - # self.var.sumDisDay += self.var.ChanQ - # # Total channel storage [cu m], equal to ChanM3Kin + ChanQKinPcr=decompress(ChanQKin) #pcr + ChanQKinInEnd=compressArray(upstream(self.var.LddChan,ChanQKinPcr)) + # Inflow at time t+1 - return ChanQKin,ChanQ,ChanM3Kin + # Calc average outflow for calc step + ChanQKinOutAvg = (ChanQKinInEnd+ChanQKinInStart)/2 + SideflowChan * self.var.ChanLength - (ChanM3Kin-ChanM3KinStart)/self.var.DtSecChannel + + return ChanQKin,ChanQKinOutAvg,ChanM3Kin def SplitRouting(self, SideflowChan): @@ -943,7 +976,7 @@ def SplitRouting(self, SideflowChan): # # return ChanQMCT,ChanQQMCT,ChanM3MCT - def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3): + def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): """This function implements Muskingum-Cunge-Todini routing method References: Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. @@ -958,12 +991,12 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3): # h = self.hdv(ChanM3) # q_h, a, b, p, cel = self.qdy(h) # q_V = self.qdv(ChanM3) - # #cm + ChanQMCTPcr=decompress(ChanQMCT) #pcr ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) # calc contribution from upstream pixels (dim=all pixels) - # LddChan is necessary to include Kin pixels contributing to MCT pixels + # Inflow at time t+1 # channel geometry xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] @@ -978,7 +1011,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3): dx = xpix # channel storage at the beginning of the computation step (t) - ChanM300 = self.get_mct_pix(self.var.ChanM3) + ChanM300 = self.get_mct_pix(ChanM3MCTStart) # instant discharge at channel input (I x=0) and channel output (O x=1) # at the end of previous step I(t) and Q(t) and @@ -986,7 +1019,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3): # O(t) q10 = self.get_mct_pix(self.var.PrevQMCTout) # I(t+dt) - q01 = self.get_mct_pix(ChanQMCTUp) + self.get_mct_pix(SideflowChanMCT) + q01 = self.get_mct_pix(ChanQMCTUp) #+ self.get_mct_pix(SideflowChanMCT) # I(t) q00 = self.get_mct_pix(self.var.PrevQMCTin) @@ -1076,21 +1109,26 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3): ################################################ - # Calc the average Qout for calc step - qout_ave = q01 - (V11 - ChanM300)/dt + # # Calc the average Qout for calc step + # qout_ave = q01 - (V11 - ChanM300)/dt + + # Calc average outflow for calc step + #ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt + qout_ave = (q01 + q00) / 2 - (V11 - ChanM300) / dt + # Check for negative discharge qout_ave = np.where(qout_ave < 0, 0, qout_ave) # Update volume when negative discharge is set =0 - V11 = ChanM300 + (q01 - qout_ave) * dt + V11 = ChanM300 + ((q01 + q00) / 2 - qout_ave) * dt - ChanQMCTout = self.put_mct_pix(q11) + ChanQMCTOut = self.put_mct_pix(q11) Cmout = self.put_mct_pix(Cm0) Dmout = self.put_mct_pix(Dm0) - ChanM3MCTout = self.put_mct_pix(V11) - ChanQMCTave = self.put_mct_pix(qout_ave) + ChanM3MCTOut = self.put_mct_pix(V11) + ChanQMCTOutAve = self.put_mct_pix(qout_ave) - return ChanQMCTout,ChanM3MCTout,ChanQMCTave, Cmout, Dmout + return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout From 375f647b685efe1ed5d9d15269efe3003400130e Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 19 Apr 2023 13:19:17 +0000 Subject: [PATCH 014/134] Renaming functions --- src/lisflood/hydrological_modules/routing.py | 30 +++++++++++--------- 1 file changed, 16 insertions(+), 14 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index eb6e96d4..bf8eb2ca 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -988,9 +988,9 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): # #cm # ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # ChanM3 = self.get_mct_pix(self.var.ChanM3) - # h = self.hdv(ChanM3) - # q_h, a, b, p, cel = self.qdy(h) - # q_V = self.qdv(ChanM3) + # h = self.hoV(ChanM3) + # q_h, a, b, p, cel = self.qoh(h) + # q_V = self.qoV(ChanM3) ChanQMCTPcr=decompress(ChanQMCT) #pcr @@ -1055,9 +1055,9 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): # if qmm == 0: qmm = eps # qmm = [0 if i < 0 else i for i in qmm] # hmm = self.scalax(qmm) - # dummy, Amm,Bmm,Pmm, cmm = self.qdy(hmm) - # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qdy(hmx0) - # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qdy(hmx1) + # dummy, Amm,Bmm,Pmm, cmm = self.qoh(hmm) + # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qoh(hmx0) + # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qoh(hmx1) # Calc riverbed slope correction factor cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) @@ -1069,7 +1069,7 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 qm1 = (q01 + q11) / 2. hm1 = self.scalax(qm1) - dummy, Ax1,Bx1,Px1,ck1 = self.qdy(hm1) + dummy, Ax1,Bx1,Px1,ck1 = self.qoh(hm1) # if (ck1 <= eps): ck1 = eps ck1 = np.where(ck1 < eps, eps, ck1) @@ -1134,8 +1134,9 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): def scalax(self,q): """Given a generic section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes - water depth (y), wet contour (Bx), wat area (Ax) and wave celerity (cel) using Newton-Raphson method. + water depth (y), wet contour (Bx), wet area (Ax) and wave celerity (cel) using Newton-Raphson method. q: steady-state discharge river discharge [m3/s] + y: water depth referred to the bottom of the riverbed [m] Ax: wet area [m2] Bx: cross-section width at water surface [m] Px: cross-section wet contour [m] @@ -1192,7 +1193,7 @@ def scalax(self,q): for tries in range(1,max_tries): # calc Q(y) for the different tries of y - q0,Ax,Bx,Px,cel = self.qdy(y) + q0,Ax,Bx,Px,cel = self.qoh(y) # this is the function we want to find the 0 for f(y)=Q(y)-Q* fy = q0 - q # calc first derivative of f(y) f'(y)=Bx(y)*cel(y) @@ -1209,7 +1210,7 @@ def scalax(self,q): return y - def qdy(self,y): + def qoh(self,y): """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water depth (y [m]) referred to the bottom of the riverbed, it uses Manning’s formula to calculate: q: steady-state discharge river discharge [m3/s] @@ -1257,7 +1258,7 @@ def qdy(self,y): return q,a,b,p,cel - def hdv(self,V): + def hoV(self,V): """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and and a volume V, it calculates the water depth referred to the bottom of the riverbed [m] (y). @@ -1320,14 +1321,15 @@ def put_mct_pix(self,var): return y - def qdv(self,V): + def qoV(self,V): """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). """ - y = self.hdv(V) - q, a, b, p, cel = self.qdy(y) + y = self.hoV(V) + q, a, b, p, cel = self.qoh(y) return q + def rad_from_dxdy(self,dxdy): rad = np.arctan(1 / dxdy) angle = np.rad2deg(rad) From f9902c8b59723a809c9e79229bc93951ce99acb1 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 19 Apr 2023 17:19:40 +0000 Subject: [PATCH 015/134] Fixed cold start initialization for MCT --- src/lisflood/hydrological_modules/routing.py | 90 ++++++++++++++------ 1 file changed, 62 insertions(+), 28 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index bf8eb2ca..26ac68f7 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -510,7 +510,7 @@ def initialMCT(self): PrevDmMCT = loadmap('PrevDmMCTInitValue') # Dm for MCT self.var.PrevDm0 = np.where(PrevDmMCT == -9999, self.var.ChanQKin * 0, PrevDmMCT) #np - + self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) # def initialMCT(self): @@ -664,7 +664,8 @@ def dynamic(self, NoRoutingExecuted): # Outflow at time t (instant) # ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t (instant) - ChanQKinOut,ChanQKinOutAve,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) + + ChanQKinOut,ChanQKinOutAvg,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) # updating variables for next step self.var.ChanQKin = ChanQKinOut.copy() @@ -676,8 +677,9 @@ def dynamic(self, NoRoutingExecuted): # Outflow at the end of computation step (instant) self.var.ChanQ = ChanQKinOut.copy() - #self.var.sumDisDay += self.var.ChanQ - self.var.sumDisDay += self.var.ChanQKinOutAve.copy() #cm + self.var.sumDisDay += self.var.ChanQ + + #self.var.sumDisDay += ChanQKinOutAvg #cm # using average discharge on computation step # sum of outflow on model step @@ -690,22 +692,35 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): + ##### # Kinematic routing - ChanQKinOutStart = self.var.ChanQKin.copy() + ChanQKinOutStart = self.var.ChanQ.copy() # Outflow at time t (instant) + # ChanM3KinIn = self.var.ChanM3Kin.copy() # Channel storage at time t (instant) - ChanQKinOut,ChanQKinOutAve,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOut,ChanQKinOutAvg,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) + + + #### # MCT routing - ChanQMCTOutStart = self.var.ChanQKin.copy() - # Outflow at time t + + ChanQMCTOutStart = self.var.ChanQ.copy() + # Outflow at time t q10 + ChanM3Start = self.var.ChanM3.copy() - # Channel storage at time t - ChanQMCTOut,ChanQMCTOutAve,ChanM3MCTOut,Cmout, Dmout = self.MCTRouting(ChanQMCTOutStart,SideflowChanMCT,ChanM3Start) - self.var.PrevQMCTin = ChanQMCTIn - self.var.PrevQMCTout = ChanQMCTOut + # Channel storage at time t V0 + + ChanQMCTInStart = self.var.PrevQMCTin.copy() + + ChanQMCTOut,ChanQMCTOutAvg,ChanM3MCTOut,Cmout, Dmout = self.MCTRouting(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start) + + # update input Q at t for next step + ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr + self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) + self.var.PrevCm0 = Cmout self.var.prevDm0 = Dmout @@ -715,10 +730,17 @@ def dynamic(self, NoRoutingExecuted): # volume V at end of calc step self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTOut) # average Q for the calc step - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQOut, ChanQMCTOutAve) + ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) + + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTOut) + self.var.sumDisDay += self.var.ChanQ + # self.var.sumDisDay += ChanQOutAvg #cm + # using average discharge on computation step + # sum of outflow on model step + TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) @@ -976,7 +998,7 @@ def SplitRouting(self, SideflowChan): # # return ChanQMCT,ChanQQMCT,ChanM3MCT - def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): + def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): """This function implements Muskingum-Cunge-Todini routing method References: Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. @@ -992,12 +1014,6 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): # q_h, a, b, p, cel = self.qoh(h) # q_V = self.qoV(ChanM3) - - ChanQMCTPcr=decompress(ChanQMCT) #pcr - ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) - # calc contribution from upstream pixels (dim=all pixels) - # Inflow at time t+1 - # channel geometry xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] slp = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) @@ -1010,18 +1026,36 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): dx = xpix + + # ChanQMCTStartPcr=decompress(ChanQMCTOutStart) #pcr + # ChanQMCTUp0=compressArray(upstream(self.var.LddChan,ChanQMCTStartPcr)) + # # calc contribution from upstream pixels (dim=all pixels) + # # Inflow at time t + # # I(t) + # q00 = self.get_mct_pix(ChanQMCTUp0) + + q00 = self.get_mct_pix(ChanQMCTInStart) + # channel storage at the beginning of the computation step (t) - ChanM300 = self.get_mct_pix(ChanM3MCTStart) + ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + + ChanQMCTPcr=decompress(ChanQKinOut) #pcr + ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) + # calc contribution from upstream pixels (dim=all pixels) + # Inflow at time t+1 + # I(t+dt) + q01 = self.get_mct_pix(ChanQMCTUp1) #+ self.get_mct_pix(SideflowChanMCT) * xpix + + # instant discharge at channel input (I x=0) and channel output (O x=1) # at the end of previous step I(t) and Q(t) and # at the end of current step I(t+1) and Q(t+1) # O(t) - q10 = self.get_mct_pix(self.var.PrevQMCTout) - # I(t+dt) - q01 = self.get_mct_pix(ChanQMCTUp) #+ self.get_mct_pix(SideflowChanMCT) - # I(t) - q00 = self.get_mct_pix(self.var.PrevQMCTin) + q10 = self.get_mct_pix(ChanQMCTOutStart) + + + # Calc O' first guess for the outflow at time t+dt # O'(t+dt)=O(t)+(I(t+dt)-I(t)) @@ -1114,12 +1148,12 @@ def MCTRouting(self,ChanQMCT,SideflowChanMCT,ChanM3MCTStart): # Calc average outflow for calc step #ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt - qout_ave = (q01 + q00) / 2 - (V11 - ChanM300) / dt + qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt # Check for negative discharge qout_ave = np.where(qout_ave < 0, 0, qout_ave) # Update volume when negative discharge is set =0 - V11 = ChanM300 + ((q01 + q00) / 2 - qout_ave) * dt + V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt ChanQMCTOut = self.put_mct_pix(q11) From 2c1e9fbf244e7db5d2b602a9ce9a48c23407e0c8 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 26 Apr 2023 12:36:50 +0000 Subject: [PATCH 016/134] Renamed scalax to hoq --- src/lisflood/hydrological_modules/routing.py | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 26ac68f7..5af5a612 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1075,20 +1075,20 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT qmx0 = (q00 + q01) / 2. # if qmx0 == 0: qmx0 = eps qmx0 = np.maximum(qmx0, 0) - hmx0 = self.scalax(qmx0) + hmx0 = self.hoq(qmx0) # reference O discharge at x=1 qmx1 = (q10 + q11) / 2. # if qmx1 == 0: qmx1 = eps qmx1 = np.maximum(qmx1, 0) - hmx1 = self.scalax(qmx1) + hmx1 = self.hoq(qmx1) # # reference discharge at time t+dt # # qmm = (I(t+dt)+O(t+dt))/2 # qmm = (q01 + q11) / 2 # if qmm == 0: qmm = eps # qmm = [0 if i < 0 else i for i in qmm] - # hmm = self.scalax(qmm) + # hmm = self.hoq(qmm) # dummy, Amm,Bmm,Pmm, cmm = self.qoh(hmm) # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qoh(hmx0) # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qoh(hmx1) @@ -1102,7 +1102,7 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT # Calc reference discharge time t+dt # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 qm1 = (q01 + q11) / 2. - hm1 = self.scalax(qm1) + hm1 = self.hoq(qm1) dummy, Ax1,Bx1,Px1,ck1 = self.qoh(hm1) # if (ck1 <= eps): ck1 = eps ck1 = np.where(ck1 < eps, eps, ck1) @@ -1166,7 +1166,7 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT - def scalax(self,q): + def hoq(self,q): """Given a generic section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes water depth (y), wet contour (Bx), wet area (Ax) and wave celerity (cel) using Newton-Raphson method. q: steady-state discharge river discharge [m3/s] From 9b7c49e1e263ba20f461143a80c3cb813b6a8b08 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 26 Apr 2023 15:09:21 +0000 Subject: [PATCH 017/134] first outputs --- src/lisflood/hydrological_modules/routing.py | 67 ++++++++++---------- 1 file changed, 32 insertions(+), 35 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 5af5a612..fee3594e 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -661,25 +661,29 @@ def dynamic(self, NoRoutingExecuted): if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): # Kinematic routing ChanQKinOutStart = self.var.ChanQKin.copy() - # Outflow at time t (instant) + # Outflow at time t beginning of calculation step (instant) # ChanM3KinStart = self.var.ChanM3Kin.copy() - # Channel storage at time t (instant) + # Channel storage at time t beginning of calculation step (instant) - ChanQKinOut,ChanQKinOutAvg,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KinematicRouting(ChanQKinOutStart,SideflowChan) # updating variables for next step - self.var.ChanQKin = ChanQKinOut.copy() + self.var.ChanQKin = ChanQKinOutEnd.copy() # Outflow Q at time t+1 (end of calc step) (instant) - self.var.ChanM3Kin = ChanM3KinOut.copy() + self.var.ChanM3Kin = ChanM3KinEnd.copy() # Channel storage V at time t+1 (end of calc step) (instant) - # same as ChanQKinOut for Kinematic routing - # Outflow at the end of computation step (instant) - self.var.ChanQ = ChanQKinOut.copy() - - self.var.sumDisDay += self.var.ChanQ - - #self.var.sumDisDay += ChanQKinOutAvg #cm + self.var.ChanQ = ChanQKinOutEnd.copy() + # Outflow Q at the end of computation step t+1 for full section (instant) + # same as ChanQKinOutEnd for Kinematic routing + self.var.ChanM3 = ChanM3KinEnd.copy() + # Channel storage V at the end of computation step t+1 for full section (instant) + # same as ChanM3KinEnd for Kinematic routing + + # self.var.sumDisDay += self.var.ChanQ + #cm + self.var.sumDisDay += ChanQKinOutAvg + #cm # using average discharge on computation step # sum of outflow on model step @@ -696,13 +700,12 @@ def dynamic(self, NoRoutingExecuted): # Kinematic routing ChanQKinOutStart = self.var.ChanQ.copy() - # Outflow at time t (instant) + # Outflow Q at time t beginning of calculation step (instant) - # ChanM3KinIn = self.var.ChanM3Kin.copy() + # ChanM3KinStart = self.var.ChanM3.copy() # Channel storage at time t (instant) - ChanQKinOut,ChanQKinOutAvg,ChanM3KinOut = self.KinematicRouting(ChanQKinOutStart,SideflowChan) - + ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KinematicRouting(ChanQKinOutStart,SideflowChan) #### # MCT routing @@ -715,29 +718,27 @@ def dynamic(self, NoRoutingExecuted): ChanQMCTInStart = self.var.PrevQMCTin.copy() - ChanQMCTOut,ChanQMCTOutAvg,ChanM3MCTOut,Cmout, Dmout = self.MCTRouting(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start) + ChanQMCTOutEnd,ChanQMCTOutAvg,ChanM3MCTEnd,Cmend, Dmend = self.MCTRouting(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) # update input Q at t for next step ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) - self.var.PrevCm0 = Cmout - self.var.prevDm0 = Dmout + self.var.PrevCm0 = Cmend + self.var.prevDm0 = Dmend - # combine results - # instant Q at end of calc step - self.var.ChanQKin = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTOut) - # volume V at end of calc step - self.var.ChanM3Kin = np.where(self.var.IsChannelKinematic, ChanM3KinOut, ChanM3MCTOut) - # average Q for the calc step + # combine results from Kin and MCT pixels + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) + # Outflow Q at the end of computation step t+1 for full section (instant) + self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) + # Channel storage V at the end of computation step t+1 for full section (instant) ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) + # Average outflow Q over the calculation step (average) - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOut, ChanQMCTOut) - - - self.var.sumDisDay += self.var.ChanQ - - # self.var.sumDisDay += ChanQOutAvg #cm + # cm + # self.var.sumDisDay += self.var.ChanQ + self.var.sumDisDay += ChanQOutAvg + # cm # using average discharge on computation step # sum of outflow on model step @@ -872,10 +873,6 @@ def KinematicRouting(self,ChanQKin,SideflowChan): # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! - #cm - # SideflowChan = 0 - #cm - ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin ** self.var.Beta # Volume in channel at beginning of computation step (at t) (instant) ChanQKinOutStart = ChanQKin.copy() From 6da785324801d60629a3c5aaf0540db0f1fb59d3 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 27 Apr 2023 18:11:56 +0000 Subject: [PATCH 018/134] Introducing mctWave and mct_river_routing --- src/lisflood/hydrological_modules/routing.py | 55 +++++++++++++++++--- 1 file changed, 49 insertions(+), 6 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index fee3594e..3d45eff0 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -17,7 +17,7 @@ from __future__ import print_function, absolute_import from pcraster import lddmask, accuflux, boolean, downstream, pit, path, lddrepair, ifthenelse, cover, nominal, uniqueid, \ - catchment, upstream + catchment, upstream, pcr2numpy import numpy as np @@ -158,6 +158,7 @@ def initial(self): self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool # Identify channel pixels where Muskingum-Cunge-Todini is used + self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np @@ -456,7 +457,6 @@ def initialSecond(self): self.var.Beta, self.var.ChanLength, self.var.DtRouting, int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) - # if option['InitLisflood'] and option['repMBTs']: # self.var.StorageStepINIT= self.var.ChanM3Kin # self.var.DischargeM3StructuresIni = maskinfo.in_zero() @@ -485,7 +485,6 @@ def initialSecond(self): # self.var.StorageStepINIT += self.var.LakeStorageIniM3 # self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) - def initialMCT(self): """ initial part of the Muskingum-Kunge-Todini routing module """ @@ -512,6 +511,9 @@ def initialMCT(self): self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) + # Initialise mct wave router + # self.mct_river_router = mctWave(compressArray(self.var.LddMCT), ~maskinfo.info.mask) + self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) # def initialMCT(self): # """ initial part of the Muskingum-Kunge-Todini routing module @@ -665,7 +667,7 @@ def dynamic(self, NoRoutingExecuted): # ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) - ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KinematicRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) # updating variables for next step self.var.ChanQKin = ChanQKinOutEnd.copy() @@ -705,7 +707,7 @@ def dynamic(self, NoRoutingExecuted): # ChanM3KinStart = self.var.ChanM3.copy() # Channel storage at time t (instant) - ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KinematicRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) #### # MCT routing @@ -850,7 +852,7 @@ def dynamic(self, NoRoutingExecuted): # maximum set to 30km/day for 5km cell, is at DtSec/Traveltime=6, is at Traveltime Date: Fri, 28 Apr 2023 16:32:00 +0000 Subject: [PATCH 019/134] found a way to loop over channel pixels --- src/lisflood/hydrological_modules/routing.py | 62 +++++++++++--------- 1 file changed, 35 insertions(+), 27 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 3d45eff0..5953cb7a 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1027,37 +1027,43 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT dx = xpix + # instant discharge at channel input (I x=0) and channel output (O x=1) + # at the end of previous calculation step I(t) and O(t) and + # at the end of current calculation step I(t+1) and O(t+1) - # ChanQMCTStartPcr=decompress(ChanQMCTOutStart) #pcr - # ChanQMCTUp0=compressArray(upstream(self.var.LddChan,ChanQMCTStartPcr)) - # # calc contribution from upstream pixels (dim=all pixels) - # # Inflow at time t - # # I(t) - # q00 = self.get_mct_pix(ChanQMCTUp0) - + # Inflow at time t + # I(t) + # calc contribution from upstream pixels at time t (dim=all pixels) q00 = self.get_mct_pix(ChanQMCTInStart) - # channel storage at the beginning of the computation step (t) ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + # Outflow at time t + # O(t) + # dim=mct pixels + q10 = self.get_mct_pix(ChanQMCTOutStart) + + + # calc contribution from upstream pixels at time t+1 (dim=all pixels) ChanQMCTPcr=decompress(ChanQKinOut) #pcr ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) - # calc contribution from upstream pixels (dim=all pixels) # Inflow at time t+1 # I(t+dt) + # dim=mct pixels q01 = self.get_mct_pix(ChanQMCTUp1) #+ self.get_mct_pix(SideflowChanMCT) * xpix - - # instant discharge at channel input (I x=0) and channel output (O x=1) - # at the end of previous step I(t) and Q(t) and - # at the end of current step I(t+1) and Q(t+1) - # O(t) - q10 = self.get_mct_pix(ChanQMCTOutStart) - - + ### start pixels loop ### + num_orders = self.mct_river_router.order_start_stop.shape[0] + for order in range(num_orders): + first = self.mct_river_router.order_start_stop[order, 0] + last = self.mct_river_router.order_start_stop[order, 1] + for index in range(first, last): + idpix = self.mct_river_router.pixels_ordered[index] + ############################################################################# + ######### to pixels routing loop ############################################ # Calc O' first guess for the outflow at time t+dt # O'(t+dt)=O(t)+(I(t+dt)-I(t)) q11 = q10 + (q01 - q00) @@ -1113,7 +1119,7 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT # calc corrected cell Reynolds number at time t+dt Dm1 = qm1 / (sfx * ck1 * Bx1 * dx) / Beta1 # corrected Courant number at time t+dt - Cm1 = ck1 * dt / dx / Beta1 + Cm1: object = ck1 * dt / dx / Beta1 # Calc MCT parameters den = 1 + Cm1 + Dm1 @@ -1142,10 +1148,6 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT Cm0 = Cm1 Dm0 = Dm1 - ################################################ - - # # Calc the average Qout for calc step - # qout_ave = q01 - (V11 - ChanM300)/dt # Calc average outflow for calc step #ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt @@ -1156,6 +1158,8 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT # Update volume when negative discharge is set =0 V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt + ############################################################################# + ######### end pixels routing loop ############################################ ChanQMCTOut = self.put_mct_pix(q11) Cmout = self.put_mct_pix(Cm0) @@ -1379,7 +1383,6 @@ class mctWave: def __init__(self, compressed_encoded_ldd, land_mask): """""" - # Parameters for the solution of the discretised Kinematic wave continuity equation # Process flow direction matrix: downstream and upstream lookups, and routing orders flow_dir = decodeFlowMatrix(rebuildFlowMatrix(compressed_encoded_ldd, land_mask)) @@ -1390,7 +1393,8 @@ def __init__(self, compressed_encoded_ldd, land_mask): def _setMCTRoutingOrders(self): """Compute the MCT wave routing order. Pixels are grouped in sets with the same order. - Pixels in the same se are independent and can be routed in parallel. Sets must be processed in series, starting from order 0. + Pixels in the same setM4zze^^i + are independent and can be routed in parallel. Sets must be processed in series, starting from order 0. Pixels are ordered topologically starting from the outlets, as in: Liu et al. (2014), A layered approach to parallel computing for spatially distributed hydrological modeling, Environmental Modelling & Software 51, 221-227. @@ -1401,12 +1405,16 @@ def _setMCTRoutingOrders(self): self.pixels_ordered = pd.DataFrame({"pixels": np.arange(routing_order.size), "order": routing_order}) try: self.pixels_ordered = self.pixels_ordered.sort_values(["order", "pixels"]).set_index("order").squeeze() - if not isinstance(self.pixels_ordered, pd.DataFrame): - self.pixels_ordered = pd.DataFrame({'order': [0], 'pixel': self.pixels_ordered}) - self.pixels_ordered.set_index('order', inplace=True) except: # FOR COMPATIBILITY WITH OLDER PANDAS VERSIONS self.pixels_ordered = self.pixels_ordered.sort(["order", "pixels"]).set_index("order").squeeze() + # Output of pd.DataFrame.squeeze() is not a DataFrame and not a Series. + if not isinstance(self.pixels_ordered, pd.Series): + # self.pixels_ordered = pd.DataFrame({'order': [0], 'pixel': self.pixels_ordered}) + # self.pixels_ordered.set_index('order', inplace=True) + self.pixels_ordered = pd.Series(self.pixels_ordered) + self.pixels_ordered.rename_axis("order") order_counts = self.pixels_ordered.groupby(self.pixels_ordered.index).count() stop = order_counts.cumsum() self.order_start_stop = np.column_stack((np.append(0, stop[:-1]), stop)).astype(int) # astype for cython import in windows (see above) self.pixels_ordered = self.pixels_ordered.values.astype(int) # astype for cython import in windows (see above) + From 2f7c137dcf8ab921da57d25697d0a84dda26bcc4 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 10 May 2023 10:53:04 +0000 Subject: [PATCH 020/134] Adding comments to kinematic wave parallel --- .../kinematic_wave_parallel_tools.pyx | 120 +++++++++++++++++- 1 file changed, 113 insertions(+), 7 deletions(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx index d3ebeafa..5812163a 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx @@ -45,17 +45,26 @@ cdef: def kinematicRouting(double[::1] discharge, double[::1] lateral_inflow, double[::1] constant, long[:,::1] upstream_lookup,\ long[::1] num_upstream_pixels, long[::1] ordered_pixels, long[:,::1] start_stop, double beta, double inv_beta,\ double b_minus_1, double[::1] a_dx_div_dt, double[::1] b_a_dx_div_dt, long num_threads): - """""" + """ + This function performs the kinematic wave routing algorithm to simulate the movement of water through a network of interconnected channels. + """ + # Extract the number of routing orders from the start_stop array cdef: long order, index, first, last, num_orders = start_stop.shape[0] - # Iterate through routing orders (sets of pixels for which the kinemativc wave can be solved independently and thus in parallel) + + # Iterate through each routing order for order in range(num_orders): + # Extract the first and last pixel indices for the current order first = start_stop[order,0] last = start_stop[order,1] + + # Iterate through each pixel in the current order in parallel for index in prange(first, last, nogil=True, schedule="dynamic", num_threads=num_threads): + # Solve the kinematic wave for the current pixel solve1Pixel(ordered_pixels[index], discharge, lateral_inflow, constant, upstream_lookup,\ num_upstream_pixels, a_dx_div_dt, b_a_dx_div_dt, beta, inv_beta, b_minus_1) + @boundscheck(False) @wraparound(False) @cdivision(True) @@ -107,36 +116,106 @@ cdef double closureError(double discharge, double upper_bound, double a_dx_div_d # ------------------------------------------------------------------------------------------------- def updateUpstreamRouted(long[::1] pixels_routed, long[::1] downstream_lookup,\ long[:,::1] upstream_lookup, unsigned char[:,::1] upstream_routed): - """Called by kinematic_wave_parallel.orderKinematicRouting to implement greedy pixel ordering starting from headwaters.""" + """ + Called by kinematic_wave_parallel.orderKinematicRouting to implement greedy pixel ordering starting from headwaters. + Update the boolean array upstream_routed to mark the upstream pixels that have already been routed. + The function loops over each pixel in pixels_routed, identifies its downstream pixel, and sets the corresponding + element of upstream_routed to True. This is achieved by finding the index of the current pixel in the upstream_lookup + array of the downstream pixel and setting the corresponding element of upstream_routed to True. + + Parameters: + ----------- + pixels_routed : array-like + 1D array of integers representing pixels that have already been routed. + downstream_lookup : array-like + 1D array of integers representing the downstream pixel index for each pixel. + upstream_lookup : array-like + 2D array of integers representing the upstream pixel index for each downstream pixel and each of its upstream pixels. + upstream_routed : array-like + 2D boolean array representing whether each upstream pixel has already been routed. + + Returns: + -------- + None + """ cdef: long downs_pix, pix, ups_index for pix in pixels_routed: + # Find the downstream pixel index for the current pixel downs_pix = downstream_lookup[pix] if downs_pix != -1: + # Find the index of the current pixel among its upstream pixels ups_index = 0 while upstream_lookup[downs_pix,ups_index] != pix: ups_index += 1 + # Mark the upstream pixel as routed upstream_routed[downs_pix,ups_index] = True + + def upDownLookups(long[:,::1] flow_d8, unsigned char[:,::1] land_mask, long[:,::1] land_points, long num_pixs, long[:,::1] ix_adds): - '''Called by catchment.streamLookups''' + ''' + Called by catchment.streamLookups + Create lookups of pixels upstream and downstream of each pixel in a catchment. + These arrays are used to determine the flow paths of water from a source pixel to all the pixels downstream and upstream of it, respectively. + The function loops through each pixel in the dataset and checks whether it has a downstream neighbor in the direction of its flow_d8 value. + If it does, it calculates the ID of the downstream pixel using the ix_adds array and checks whether the downstream pixel is also a land pixel + (i.e. it is not water or outside the dataset). If both pixels are land pixels, the function updates the downstream_lookup and upstream_lookup + arrays with the IDs of the upstream and downstream pixels, respectively. The function keeps track of the number of upstream neighbors for + each downstream pixel using the ups_count array. + + Parameters: + ----------- + flow_d8 : long[:,::1] + 2D array of D8 flow direction codes + land_mask : unsigned char[:,::1] + 2D array of 0/1 indicating whether each pixel is land or not + land_points : long[:,::1] + 2D array of indices of land pixels (each index is unique). + The IDs are numbered from 0 to num_pixs - 1. + num_pixs : long + Number of pixels in the catchment + ix_adds : long[:,::1] + 2D array of pixel coordinates to add to a source pixel to get destination pixel + in a given direction, given as (row, col) pairs + + Returns: + -------- + downstream_lookup : long[::1] + 1D array of indices of downstream pixels for each pixel in the catchment + upstream_lookup : long[:,::1] + 2D array of indices of upstream pixels for each pixel in the catchment + ''' + # Initialize arrays cdef: - long[::1] downstream_lookup = -np.ones(num_pixs, int) - long[:,::1] upstream_lookup = -np.ones((num_pixs, 8), int) + long[::1] downstream_lookup = -np.ones(num_pixs, int) # initialize with -1s + long[:,::1] upstream_lookup = -np.ones((num_pixs, 8), int) # initialize with -1s unsigned int[::1] ups_count = np.zeros(num_pixs, np.uintc) int src_row, src_col, dst_row, dst_col unsigned int ups_p, downs_p, num_row = flow_d8.shape[0], num_col = flow_d8.shape[1] + + # Loop over every pixel in the catchment for src_row in range(num_row): for src_col in range(num_col): + # If the flow direction is less than 8 (i.e. the pixel is part of the catchment) if flow_d8[src_row,src_col] < 8: + # Compute the destination pixel coordinates based on flow direction dst_row = src_row + ix_adds[flow_d8[src_row,src_col],0] dst_col = src_col + ix_adds[flow_d8[src_row,src_col],1] + # Check if the destination pixel is within the boundaries of the land_mask + # and is itself a land pixel if dst_row != -1 and dst_col != -1 and dst_row != num_row and dst_col != num_col and land_mask[dst_row,dst_col]: + # Get the indices of the source and destination pixels in the land_points array ups_p = land_points[src_row,src_col] downs_p = land_points[dst_row,dst_col] + # Assign the downstream pixel index to the upstream_lookup array for the source pixel downstream_lookup[ups_p] = downs_p + # Assign the upstream pixel index to the upstream_lookup array for the destination pixel + # and increment the counter for the number of upstream pixels upstream_lookup[downs_p,ups_count[downs_p]] = ups_p ups_count[downs_p] += 1 + + # Return the downstream and upstream lookup arrays return np.asarray(downstream_lookup), np.asarray(upstream_lookup) @@ -144,12 +223,39 @@ def upDownLookups(long[:,::1] flow_d8, unsigned char[:,::1] land_mask, long[:,:: # ------------------------------------------------------------------------------------------------- # MISCELLANOUS TOOLS # ------------------------------------------------------------------------------------------------- + def immediateUpstreamInflow(double[::1] discharge, long[:,::1] upstream_lookup, long[::1] num_upstream_pixels): - """""" + """Calculate the immediate upstream inflow for each pixel in a river network. + The implementation of the function is as follows: + A new 1D NumPy array of type double called inflow is created with the same length as discharge, and is initialized to all zeros. + A loop over all the pixels in the river network is started, using the range() function and the num_pixels variable (which is set to the length of discharge). + Inside the loop, another loop over the upstream pixels for the current pixel is started, using the range() function and the num_upstream_pixels[pix] variable. + Inside the inner loop, the inflow for the current pixel is updated by adding the discharge of the upstream pixel, which is retrieved using the upstream_lookup array. + Finally, the inflow array is returned as a NumPy array. + + Args: + discharge: A 1D NumPy array of type double that represents the discharge (flow rate) for each pixel in the river network. + upstream_lookup: A 2D NumPy array of type long that represents the upstream routing of each pixel in the river network. + num_upstream_pixels: A 1D NumPy array of type long that represents the number of upstream pixels for each pixel in the river network. + + Returns: + A 1D NumPy array of type double that represents the immediate upstream inflow for each pixel in the river network. + """ + + # Define variables using Cython syntax for optimization cdef: long pix, ups_ix, num_pixels = discharge.size double [::1] inflow = np.zeros(num_pixels) + + # Loop over all the pixels in the river network for pix in range(num_pixels): + + # Loop over the upstream pixels for the current pixel for ups_ix in range(num_upstream_pixels[pix]): + + # Update the inflow for the current pixel by adding the discharge of the upstream pixel inflow[pix] += discharge[upstream_lookup[pix,ups_ix]] + + # Return the inflow array as a NumPy array return np.asarray(inflow) + From 52553f319f16970642a3b98ddf14ca8e774f81d1 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 11 May 2023 16:31:40 +0000 Subject: [PATCH 021/134] Refactored MCT to work on a single pixel. Introduced looping on MCT pixels --- .../kinematic_wave_parallel.py | 4 +- src/lisflood/hydrological_modules/routing.py | 569 +++++++++++++++--- 2 files changed, 484 insertions(+), 89 deletions(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel.py b/src/lisflood/hydrological_modules/kinematic_wave_parallel.py index 2fe25659..0c4fa37d 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel.py +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel.py @@ -114,6 +114,8 @@ def streamLookups(flow_dir, land_mask): ''' flow_dir[~land_mask] = 8 # exceeds number of rows of IX_ADDS num_pixs = land_mask.sum() + # Create 2D array of indices of land pixels (each index is unique) + # The IDs are numbered from 0 to num_pixs-1 land_points = -np.ones(land_mask.shape, int) land_points[land_mask] = np.arange(num_pixs, dtype=int) downstream_lookup, upstream_lookup = kwpt.upDownLookups(flow_dir, np.ascontiguousarray(land_mask).astype(np.uint8), land_points, num_pixs, IX_ADDS) @@ -169,7 +171,7 @@ def __init__(self, compressed_encoded_ldd, land_mask, alpha_channel, beta, space def _setRoutingOrders(self): """Compute the kinematic wave routing order. Pixels are grouped in sets with the same order. - Pixels in the same se are independent and can be routed in parallel. Sets must be processed in series, starting from order 0. + Pixels in the same set are independent and can be routed in parallel. Sets must be processed in series, starting from order 0. Pixels are ordered topologically starting from the outlets, as in: Liu et al. (2014), A layered approach to parallel computing for spatially distributed hydrological modeling, Environmental Modelling & Software 51, 221-227. diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 5953cb7a..a4214e21 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -515,7 +515,8 @@ def initialMCT(self): # self.mct_river_router = mctWave(compressArray(self.var.LddMCT), ~maskinfo.info.mask) self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) - # def initialMCT(self): + + # def initialMCT(self): # """ initial part of the Muskingum-Kunge-Todini routing module # """ # settings = LisSettings.instance() @@ -698,7 +699,7 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): - ##### + #################### # Kinematic routing ChanQKinOutStart = self.var.ChanQ.copy() @@ -709,7 +710,7 @@ def dynamic(self, NoRoutingExecuted): ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) - #### + #################### # MCT routing ChanQMCTOutStart = self.var.ChanQ.copy() @@ -720,7 +721,8 @@ def dynamic(self, NoRoutingExecuted): ChanQMCTInStart = self.var.PrevQMCTin.copy() - ChanQMCTOutEnd,ChanQMCTOutAvg,ChanM3MCTEnd,Cmend, Dmend = self.MCTRouting(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) + #ChanQMCTOutEnd,ChanQMCTOutAvg,ChanM3MCTEnd,Cmend, Dmend = self.MCTRouting(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) + ChanQMCTOutEnd,ChanQMCTOutAvg,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) # update input Q at t for next step ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr @@ -999,6 +1001,229 @@ def SplitRouting(self, SideflowChan): # # return ChanQMCT,ChanQQMCT,ChanM3MCT + + def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): + """This function implements Muskingum-Cunge-Todini routing method + References: + Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. + (Chapter 5) + Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + (Appendix B) + """ + + # channel geometry - MCT pixels only + xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] + s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] + ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side + Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] + + dt = self.var.DtSecChannel # computation time step for channel [s] + + # MCT Courant and Reynolds numbers from previous step (MCT pixels) + Cm0 = self.get_mct_pix(self.var.PrevCm0) + Dm0 = self.get_mct_pix(self.var.PrevDm0) + + # instant discharge at channel input (I x=0) and channel output (O x=1) + # at the end of previous calculation step I(t) and O(t) and + # at the end of current calculation step I(t+1) and O(t+1) + + # Inflow at time t + # I(t) + # calc contribution from upstream pixels at time t (dim=all pixels) + q00 = self.get_mct_pix(ChanQMCTInStart) + # channel storage at the beginning of the computation step (t) + ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + + # Outflow at time t + # O(t) + # dim=mct pixels + q10 = self.get_mct_pix(ChanQMCTOutStart) + + # calc contribution from upstream pixels at time t+1 (dim=all pixels) + ChanQMCTPcr=decompress(ChanQKinOut) #pcr + ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) + # Inflow at time t+1 + # I(t+dt) + # dim=mct pixels + q01 = self.get_mct_pix(ChanQMCTUp1) #+ self.get_mct_pix(SideflowChanMCT) * xpix + + # Outflow at time t+1 + # O(t+dt) + # dim=mct pixels + # set to zero at beginning of computation + q11 = np.zeros_like(q01) + qout_ave = np.zeros_like(q01) + V11 = np.zeros_like(q01) + + ### start pixels loop ### + # Pixels in the same order are independent and can be routed in parallel. + # Orders must be processed in series, starting from order 0. + # Outflow from MCT pixels can only go to a MCT pixel + ChanQOut = ChanQKinOut.copy() + num_orders = self.mct_river_router.order_start_stop.shape[0] + for order in range(num_orders): + first = self.mct_river_router.order_start_stop[order, 0] + last = self.mct_river_router.order_start_stop[order, 1] + for index in range(first, last): + # get pixel ID + idpix = self.mct_river_router.pixels_ordered[index] + + ### this is where MCT function for single cell will go + q11[idpix], qout_ave[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ChanM3MCT0[idpix], Cm0[idpix], Dm0[idpix], + dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) + + #q11[idpix] = q01[idpix]00000 + + # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 + # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 + Q11 = self.put_mct_pix(q11) + # combine results in pixels of this order with results in pixels of upstream orders + ChanQOut = np.where(Q11 == 0, ChanQOut, Q11) + # for each pixel in the catchmnt, calc contribution from upstream pixels + QupPcr=decompress(ChanQOut) #pcr + Qup01=compressArray(upstream(self.var.LddChan,QupPcr)) + # slice the MCT pixels + # Inflow at time t+1 + # I(t+dt) + # dim=mct pixels + q01 = self.get_mct_pix(Qup01) #+ self.get_mct_pix(SideflowChanMCT) * xpix + + ### end pixels loop ### + + # explode arrays with MCT results on all catchment pixels + ChanQMCTOut = self.put_mct_pix(q11) + Cmout = self.put_mct_pix(Cm0) + Dmout = self.put_mct_pix(Dm0) + ChanM3MCTOut = self.put_mct_pix(V11) + ChanQMCTOutAve = self.put_mct_pix(qout_ave) + + return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout + + + def MCTRouting_single(self, q10, q01, q00, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): + ''' + This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. + References: + Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. + (Chapter 5) + Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + (Appendix B) + + :param q10: O(t) - outflow at time t + :param q01: I(t+dt) - inflow at time t+dt + :param q00: I(t) - inflow at time t + :param ChanM3MCT0: V(t) - channel storage volume at time t + :param Cm0: Courant number at time t + :param Dm0: Reynolds number at time t + :param dt: time interval step + :param xpix: channel length + :param s0: channel slope + :param Balv: channel bankfull width + :param ANalv: angle of the riverbed side [rad] + :param Nalv: channel Manning roughness coefficient + :return: + q11: Outflow at O(t+dt) + qout_ave: average outflow over time interval dt + V11: channel storage volume at t+dt + Cm1: Courant number at t+1 for state file + Dm1: Reynolds number at t+1 for state file + ''' + + eps = 1e-06 + + # Calc O' first guess for the outflow at time t+dt + # O'(t+dt)=O(t)+(I(t+dt)-I(t)) + q11 = q10 + (q01 - q00) + # check for negative discharge values + if q11 < 0: + q11 = 0. + + # calc reference discharge at time t + # qm0 = (I(t)+O(t))/2 + # qm0 = (q00 + q10) / 2. + + # Calc O(t+dt)=q11 at time t+dt using MCT equations + for i in range(2): # repeat 2 times for accuracy + + # reference I discharge at x=0 + qmx0 = (q00 + q01) / 2. + if qmx0 == 0: + qmx0 = eps + hmx0 = self.hoq(qmx0, s0, Balv, ANalv, Nalv) + + # reference O discharge at x=1 + qmx1 = (q10 + q11) / 2. + if qmx1 == 0: + qmx1 = eps + hmx1 = self.hoq(qmx1, s0,Balv,ANalv,Nalv) + + # Calc riverbed slope correction factor + cor = 1 - (1 / s0 * (hmx1 - hmx0) / xpix) + sfx = s0 * cor + if sfx < (0.8 * s0): + sfx = 0.8 * s0 # In case of instability raise from 0.5 to 0.8 + + # Calc reference discharge time t+dt + # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 + qm1 = (q01 + q11) / 2. + #cm + if qm1 == 0: + qm1 = eps + #cm + hm1 = self.hoq(qm1,s0,Balv,ANalv,Nalv) + dummy, Ax1,Bx1,Px1,ck1 = self.qoh(hm1,s0,Balv,ANalv,Nalv) + if (ck1 <= eps): + ck1 = eps + + # Calc correcting factor Beta at time t+dt + Beta1 = ck1 / (qm1 / Ax1) + # calc corrected cell Reynolds number at time t+dt + Dm1 = qm1 / (sfx * ck1 * Bx1 * xpix) / Beta1 + # corrected Courant number at time t+dt + Cm1 = ck1 * dt / xpix / Beta1 + + # Calc MCT parameters + den = 1 + Cm1 + Dm1 + c1 = (-1 + Cm1 + Dm1) / den + c2 = (1 + Cm0 - Dm0) / den * (Cm1 / Cm0) + c3 = (1 - Cm0 + Dm0) / den * (Cm1 / Cm0) + c4 = (2 * Cm1) / den + + # Calc outflow q11 at time t+1 + q11 = c1 * q01 + c2 * q00 + c3 * q10 + + if q11 < 0.: + q11=0. + + #### end of for loop + + k1 = dt / Cm1 + x1 = (1. - Dm1) / 2. + + # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt + V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 + # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same! + if (V11 < 0): + V11=0. + + # Calc average outflow for calc step + #ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt + qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt + + # Check for negative discharge + if qout_ave < 0: + qout_ave = 0. + + # Update volume when negative discharge is set =0 + V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt + + # Outflow at O(t+dt), average outflow in time dt, water volume at t+dt, Courant and Reynolds numbers at t+1 for state files + return q11, qout_ave, V11, Cm1, Dm1 + + + def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): """This function implements Muskingum-Cunge-Todini routing method References: @@ -1015,9 +1240,16 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT # q_h, a, b, p, cel = self.qoh(h) # q_V = self.qoV(ChanM3) - # channel geometry + # channel geometry - MCT pixels only xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] slp = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] + ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side + Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + alpha = 5./3. # exponent (5/3) + ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] + dt = self.var.DtSecChannel # computation timestep for channel [s] eps = 1e-06 @@ -1053,13 +1285,13 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT q01 = self.get_mct_pix(ChanQMCTUp1) #+ self.get_mct_pix(SideflowChanMCT) * xpix - ### start pixels loop ### - num_orders = self.mct_river_router.order_start_stop.shape[0] - for order in range(num_orders): - first = self.mct_river_router.order_start_stop[order, 0] - last = self.mct_river_router.order_start_stop[order, 1] - for index in range(first, last): - idpix = self.mct_river_router.pixels_ordered[index] + # ### start pixels loop ### + # num_orders = self.mct_river_router.order_start_stop.shape[0] + # for order in range(num_orders): + # first = self.mct_river_router.order_start_stop[order, 0] + # last = self.mct_river_router.order_start_stop[order, 1] + # for index in range(first, last): + # idpix = self.mct_river_router.pixels_ordered[index] ############################################################################# @@ -1171,68 +1403,67 @@ def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT - def hoq(self,q): + def hoq(self,q,s0,Balv,ANalv,Nalv): """Given a generic section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes water depth (y), wet contour (Bx), wet area (Ax) and wave celerity (cel) using Newton-Raphson method. - q: steady-state discharge river discharge [m3/s] - y: water depth referred to the bottom of the riverbed [m] - Ax: wet area [m2] - Bx: cross-section width at water surface [m] - Px: cross-section wet contour [m] - cel: wave celerity [m/s] - Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 - :return: - y,Ax,Bx,cel - """ + Parameters: + q: steady-state discharge river discharge [m3/s] + s0: river bed slope (tan B) + Balv : width of the riverbed [m] + ChanSdXdY : slope dx/dy of riverbed side + ANalv : angle of the riverbed side [rad] + Nalv : channel mannings coefficient n for the riverbed [s/m1/3] - # Characteristics of the channel cross-section - xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] - s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) - alpha = 5./3. # exponent (5/3) - Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side - ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] - Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + :returns + y: water depth referred to the bottom of the riverbed [m] + """ + alpha = 5./3. # exponent (5/3) eps = 1.e-06 max_tries = 1000 rs0 = np.sqrt(s0) usalpha = 1. / alpha - # np.where(ANalv < np.pi/2, triang. or trapeiz., rectangular) # cotangent(angle of the riverbed side - dXdY) - c = np.where(ANalv < np.pi/2, - # triangular or trapezoid cross-section - self.cotan(ANalv), - # rectangular corss-section - 0.) + if ANalv < np.pi/2: + # triangular or trapezoid cross-section + c = self.cotan(ANalv) + else: + # rectangular corss-section + c = 0. # sin(angle of the riverbed side - dXdY) - s = np.where(ANalv < np.pi/2, - # triangular or trapezoid cross-section - np.sin(ANalv), - # rectangular corss-section - 1.) + if ANalv < np.pi/2: + # triangular or trapezoid cross-section + s = np.sin(ANalv) + else: + # rectangular corss-section + s = 1. # water depth first approximation y0 based on steady state q - y = np.where(Balv == 0, - # triangular cross-section - (Nalv * q / rs0)**(3. / 8.) * (2 / s)**.25 / c**(5. / 8.), - # rectangular cross-section and first approx for trapezoidal cross-section - (Nalv * q / (rs0 * Balv))**usalpha) + if Balv == 0: + # triangular cross-section + y = (Nalv * q / rs0)**(3. / 8.) * (2 / s)**.25 / c**(5. / 8.) + else: + # rectangular cross-section and first approx for trapezoidal cross-section + y = (Nalv * q / (rs0 * Balv))**usalpha - y = np.where((Balv != 0) & (ANalv < np.pi/2), - # trapezoid cross-section - (Nalv * q / rs0)**usalpha * (Balv + 2. * y / s)**.4 / (Balv + c * y), - y) + if (Balv != 0) and (ANalv < np.pi/2): + # trapezoid cross-section + y = (Nalv * q / rs0) ** usalpha * (Balv + 2. * y / s) ** .4 / (Balv + c * y) for tries in range(1,max_tries): # calc Q(y) for the different tries of y - q0,Ax,Bx,Px,cel = self.qoh(y) + q0,Ax,Bx,Px,cel = self.qoh(y,s0,Balv,ANalv,Nalv) + # Ax: wet area[m2] + # Bx: cross-section width at water surface[m] + # Px: cross-section wet contour [m] + # cel: wave celerity[m/s] + # this is the function we want to find the 0 for f(y)=Q(y)-Q* fy = q0 - q # calc first derivative of f(y) f'(y)=Bx(y)*cel(y) @@ -1242,14 +1473,12 @@ def hoq(self,q): # update yt+1=yt-f'(yt)/f(yt) y = y - dy # stop loop if correction becomes too small - # if np.abs(dy) < eps: break - if all(abs(i) < eps for i in dy): - break + if np.abs(dy) < eps: break return y - def qoh(self,y): + def qoh(self,y,s0,Balv,ANalv,Nalv): """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water depth (y [m]) referred to the bottom of the riverbed, it uses Manning’s formula to calculate: q: steady-state discharge river discharge [m3/s] @@ -1258,18 +1487,21 @@ def qoh(self,y): p: cross-section wet contour [m] cel: wave celerity [m/s] + Parameters: + y: river water depth [m] + s0: river bed slope (tan B) + Balv : width of the riverbed [m] + ChanSdXdY : slope dx/dy of riverbed side + ANalv : angle of the riverbed side [rad] + Nalv : channel mannings coefficient n for the riverbed [s/m1/3] + Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + :return: - q: steady-state discharge [m3/s] + q,a,b,p,cel """ - # Characteristics of the channel cross-section - s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) - alpha = 5./3. # exponent (5/3) - Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side - ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] - Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + alpha = 5./3. # exponent (5/3) rs0 = np.sqrt(s0) alpham = alpha - 1. @@ -1297,19 +1529,21 @@ def qoh(self,y): return q,a,b,p,cel - def hoV(self,V): + def hoV(self,V,xpix,Balv,ANalv): """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and and a volume V, it calculates the water depth referred to the bottom of the riverbed [m] (y). + Takes: + V : volume of water in channel riverbed + xpix : dimension along the flow direction [m] + Balv : width of the riverbed [m] + ANalv : angle of the riverbed side [rad] Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 :return: - y + y : channel water depth [m] """ - # Characteristics of the channel cross-section - xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] - Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side - ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] + + eps = 1e-6 c = np.where(ANalv < np.pi/2, # angle of the riverbed side dXdY [rad] @@ -1326,13 +1560,22 @@ def hoV(self,V): return y + def qoV(self,V,xpix,s0,Balv,ANalv,Nalv): + """ Given a generic river cross-section (rectangular, triangular and trapezoidal) + and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). + """ + y = self.hoV(V,xpix,Balv,ANalv) + q, a, b, p, cel = self.qoh(y,s0,Balv,ANalv,Nalv) + return q + + def cotan(self,x): """There is no cotangent function in numpy""" return np.cos(x) / np.sin(x) def get_mct_pix(self,var): - """For any array (var) with all pixels, it masks the MCT pixels (x) and + """For any array (var) with all catchment pixels, it masks the MCT pixels (x) and reduces the dimension of the array (y). :return: y: same as input array (var) but only MCT pixels @@ -1344,31 +1587,21 @@ def get_mct_pix(self,var): def put_mct_pix(self,var): - """For any array (var) with MCT pixels only, explodes dimension to all pixels and puts values from array var - in the corresponting MCT pixels. + """For any array (var) with MCT pixels only, it explodes the dimension to all catchment pixels and puts + values from array var in the corresponting MCT pixels. Uses self.var.IsChannelKinematic to define MCT pixels - Uses self.var.ChanGrad as a dummy array of dimension all pixels :return: y: same as input array (var) but only all pixels """ zeros_array = np.zeros(self.var.IsChannelKinematic.shape) x = np.ma.masked_where(self.var.IsChannelKinematic, zeros_array) x[~x.mask] = var - # explode results the the MCT pixels mask (dim=all) + # explode results on the MCT pixels mask (dim=all) y = x.data - # update results in vector (dim=all) + # update results in array (dim=all) return y - def qoV(self,V): - """ Given a generic river cross-section (rectangular, triangular and trapezoidal) - and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). - """ - y = self.hoV(V) - q, a, b, p, cel = self.qoh(y) - return q - - def rad_from_dxdy(self,dxdy): rad = np.arctan(1 / dxdy) angle = np.rad2deg(rad) @@ -1376,6 +1609,167 @@ def rad_from_dxdy(self,dxdy): + + def MCTRoutingSAVE(self, ChanQMCTOutStart, ChanQMCTInStart, ChanQKinOut, SideflowChanMCT, ChanM3Start): + """This function implements Muskingum-Cunge-Todini routing method + References: + Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. + (Chapter 5) + Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + (Appendix B) + """ + + # #cm + # ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) + # ChanM3 = self.get_mct_pix(self.var.ChanM3) + # h = self.hoV(ChanM3) + # q_h, a, b, p, cel = self.qoh(h) + # q_V = self.qoV(ChanM3) + + # channel geometry + xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] + slp = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) + dt = self.var.DtSecChannel # computation timestep for channel [s] + eps = 1e-06 + + # MCT Courant and Reynolds numbers from previous step (MCT pixels) + Cm0 = self.get_mct_pix(self.var.PrevCm0) + Dm0 = self.get_mct_pix(self.var.PrevDm0) + + dx = xpix + + # instant discharge at channel input (I x=0) and channel output (O x=1) + # at the end of previous calculation step I(t) and O(t) and + # at the end of current calculation step I(t+1) and O(t+1) + + # Inflow at time t + # I(t) + # calc contribution from upstream pixels at time t (dim=all pixels) + q00 = self.get_mct_pix(ChanQMCTInStart) + # channel storage at the beginning of the computation step (t) + ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + + # Outflow at time t + # O(t) + # dim=mct pixels + q10 = self.get_mct_pix(ChanQMCTOutStart) + + # calc contribution from upstream pixels at time t+1 (dim=all pixels) + ChanQMCTPcr = decompress(ChanQKinOut) # pcr + ChanQMCTUp1 = compressArray(upstream(self.var.LddChan, ChanQMCTPcr)) + # Inflow at time t+1 + # I(t+dt) + # dim=mct pixels + q01 = self.get_mct_pix(ChanQMCTUp1) # + self.get_mct_pix(SideflowChanMCT) * xpix + + ############################################################################# + ######### to pixels routing loop ############################################ + # Calc O' first guess for the outflow at time t+dt + # O'(t+dt)=O(t)+(I(t+dt)-I(t)) + q11 = q10 + (q01 - q00) + # if q11 < 0: q11 = 0. + # check for negative discharge values + q11 = np.maximum(q11, 0) + + # calc reference discharge at time t + # qm0 = (I(t)+O(t))/2 + # qm0 = (q00 + q10) / 2. + + # Calc O(t+dt)=q11 at time t+dt using MCT equations + for i in range(2): # repeat 2 times for accuracy + + # reference I discharge at x=0 + qmx0 = (q00 + q01) / 2. + # if qmx0 == 0: qmx0 = eps + qmx0 = np.maximum(qmx0, 0) + hmx0 = self.hoq(qmx0) + + # reference O discharge at x=1 + qmx1 = (q10 + q11) / 2. + # if qmx1 == 0: qmx1 = eps + qmx1 = np.maximum(qmx1, 0) + hmx1 = self.hoq(qmx1) + + # # reference discharge at time t+dt + # # qmm = (I(t+dt)+O(t+dt))/2 + # qmm = (q01 + q11) / 2 + # if qmm == 0: qmm = eps + # qmm = [0 if i < 0 else i for i in qmm] + # hmm = self.hoq(qmm) + # dummy, Amm,Bmm,Pmm, cmm = self.qoh(hmm) + # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qoh(hmx0) + # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qoh(hmx1) + + # Calc riverbed slope correction factor + cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) + sfx = slp * cor + # if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 + sfx = np.where(sfx < (0.8 * slp), 0.8 * slp, sfx) + + # Calc reference discharge time t+dt + # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 + qm1 = (q01 + q11) / 2. + hm1 = self.hoq(qm1) + dummy, Ax1, Bx1, Px1, ck1 = self.qoh(hm1) + # if (ck1 <= eps): ck1 = eps + ck1 = np.where(ck1 < eps, eps, ck1) + + # Calc correcting factor Beta at time t+dt + Beta1 = ck1 / (qm1 / Ax1) + # calc corrected cell Reynolds number at time t+dt + Dm1 = qm1 / (sfx * ck1 * Bx1 * dx) / Beta1 + # corrected Courant number at time t+dt + Cm1: object = ck1 * dt / dx / Beta1 + + # Calc MCT parameters + den = 1 + Cm1 + Dm1 + c1 = (-1 + Cm1 + Dm1) / den + c2 = (1 + Cm0 - Dm0) / den * (Cm1 / Cm0) + c3 = (1 - Cm0 + Dm0) / den * (Cm1 / Cm0) + c4 = (2 * Cm1) / den + + # Calc flow at time t+1 + q11 = c1 * q01 + c2 * q00 + c3 * q10 + + # if (q11 < 0.): q11=0. + q11 = np.maximum(q11, 0) + # end of loop + + k1 = dt / Cm1 + x1 = (1. - Dm1) / 2. + + # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt + V11 = (1 - Dm1) * dt / (2 * Cm1) * q01 + (1 + Dm1) * dt / (2 * Cm1) * q11 + # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same! + # if (V11 < 0): V11=0. + V11 = np.maximum(V11, 0) + + # save Courant and Reynolds numbers at t+1 for state files + Cm0 = Cm1 + Dm0 = Dm1 + + # Calc average outflow for calc step + # ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt + qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt + + # Check for negative discharge + qout_ave = np.where(qout_ave < 0, 0, qout_ave) + # Update volume when negative discharge is set =0 + V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt + + ############################################################################# + ######### end pixels routing loop ############################################ + + ChanQMCTOut = self.put_mct_pix(q11) + Cmout = self.put_mct_pix(Cm0) + Dmout = self.put_mct_pix(Dm0) + ChanM3MCTOut = self.put_mct_pix(V11) + ChanQMCTOutAve = self.put_mct_pix(qout_ave) + + return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout + + + from .kinematic_wave_parallel import rebuildFlowMatrix, decodeFlowMatrix, streamLookups, topoDistFromSea import pandas as pd class mctWave: @@ -1393,8 +1787,7 @@ def __init__(self, compressed_encoded_ldd, land_mask): def _setMCTRoutingOrders(self): """Compute the MCT wave routing order. Pixels are grouped in sets with the same order. - Pixels in the same setM4zze^^i - are independent and can be routed in parallel. Sets must be processed in series, starting from order 0. + Pixels in the same set are independent and can be routed in parallel. Sets must be processed in series, starting from order 0. Pixels are ordered topologically starting from the outlets, as in: Liu et al. (2014), A layered approach to parallel computing for spatially distributed hydrological modeling, Environmental Modelling & Software 51, 221-227. From 731de2be0c8b964a04f01fc2349a65d61372fa5b Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Mon, 15 May 2023 15:55:16 +0000 Subject: [PATCH 022/134] Added lateral flow to MCT --- src/lisflood/hydrological_modules/routing.py | 48 ++++++++++++-------- 1 file changed, 30 insertions(+), 18 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index a4214e21..8c07f59b 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -454,8 +454,9 @@ def initialSecond(self): # Initialise parallel kinematic wave router: main channel-only routing if self.var.ChannelAlpha2 is None; else split-routing(main channel + floodplains) maskinfo = MaskInfo.instance() self.river_router = kinematicWave(compressArray(self.var.LddKinematic), ~maskinfo.info.mask, self.var.ChannelAlpha, - self.var.Beta, self.var.ChanLength, self.var.DtRouting, - int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) + self.var.Beta, self.var.ChanLength, self.var.DtRouting, + int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) + # if option['InitLisflood'] and option['repMBTs']: # self.var.StorageStepINIT= self.var.ChanM3Kin @@ -513,8 +514,8 @@ def initialMCT(self): # Initialise mct wave router # self.mct_river_router = mctWave(compressArray(self.var.LddMCT), ~maskinfo.info.mask) - self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) + self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) # def initialMCT(self): # """ initial part of the Muskingum-Kunge-Todini routing module @@ -646,15 +647,10 @@ def dynamic(self, NoRoutingExecuted): # Calc sideflow for MCT cells if option['MCTRouting']: - SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) + SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvDtRouting,0) #Ql else: SideflowChanMCT = 0 - # cm - SideflowChanMCT = 0 - # cm - - # ************************************************************ # ***** ROUTING **************** # ************************************************************ @@ -1017,7 +1013,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] - ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] + ANalv = np.arctan(1/ChanSdXdY) # angle of the riverbed side [rad] dt = self.var.DtSecChannel # computation time step for channel [s] @@ -1047,7 +1043,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # Inflow at time t+1 # I(t+dt) # dim=mct pixels - q01 = self.get_mct_pix(ChanQMCTUp1) #+ self.get_mct_pix(SideflowChanMCT) * xpix + q01 = self.get_mct_pix(ChanQMCTUp1) # Outflow at time t+1 # O(t+dt) @@ -1057,6 +1053,12 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha qout_ave = np.zeros_like(q01) V11 = np.zeros_like(q01) + # Lateral flow Ql (average) during interval dt [m3/s] + # Ql(t) + # calc contribution from sideflow + ql = self.get_mct_pix(SideflowChanMCT) + + ### start pixels loop ### # Pixels in the same order are independent and can be routed in parallel. # Orders must be processed in series, starting from order 0. @@ -1071,7 +1073,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha idpix = self.mct_river_router.pixels_ordered[index] ### this is where MCT function for single cell will go - q11[idpix], qout_ave[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ChanM3MCT0[idpix], Cm0[idpix], Dm0[idpix], + q11[idpix], qout_ave[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], ChanM3MCT0[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) #q11[idpix] = q01[idpix]00000 @@ -1102,7 +1104,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout - def MCTRouting_single(self, q10, q01, q00, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): + def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): ''' This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. References: @@ -1114,6 +1116,7 @@ def MCTRouting_single(self, q10, q01, q00, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, B :param q10: O(t) - outflow at time t :param q01: I(t+dt) - inflow at time t+dt :param q00: I(t) - inflow at time t + :param ql: lateral flow over time dt [m3/s] :param ChanM3MCT0: V(t) - channel storage volume at time t :param Cm0: Courant number at time t :param Dm0: Reynolds number at time t @@ -1192,7 +1195,10 @@ def MCTRouting_single(self, q10, q01, q00, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, B c4 = (2 * Cm1) / den # Calc outflow q11 at time t+1 - q11 = c1 * q01 + c2 * q00 + c3 * q10 + # Mass balance equation without lateral flow + # q11 = c1 * q01 + c2 * q00 + c3 * q10 + # Mass balance equation that takes into consideration the lateral flow + q11 = c1 * q01 + c2 * q00 + c3 * q10 + c4 * ql if q11 < 0.: q11=0. @@ -1203,21 +1209,27 @@ def MCTRouting_single(self, q10, q01, q00, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, B x1 = (1. - Dm1) / 2. # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt + # The lateral inflow ql is only explicitly accounted for in the mass balance equation, while it is not in the equation expressing + # the storage as a weighted average of inflow and outflow.The rationale of this approach lies in the fact that the outflow + # of the reach implicitly takes the effect of the lateral inflow into account. V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 - # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same! + # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! if (V11 < 0): V11=0. # Calc average outflow for calc step - #ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt - qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt + # qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt + # Calc average outflow for calc step considerinbg lateral flow + qout_ave = (q01 + q00) / 2 + ql - (V11 - ChanM3MCT0) / dt # Check for negative discharge if qout_ave < 0: qout_ave = 0. # Update volume when negative discharge is set =0 - V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt + # V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt + # Update volume when negative discharge is set =0 with lateral flow + V11 = ChanM3MCT0 + ((q01 + q00) / 2 + ql - qout_ave) * dt # Outflow at O(t+dt), average outflow in time dt, water volume at t+dt, Courant and Reynolds numbers at t+1 for state files return q11, qout_ave, V11, Cm1, Dm1 From 2356810625885aa5b291271b7399b528f67db298 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 16 May 2023 16:44:11 +0000 Subject: [PATCH 023/134] First working version of MCT with lateral flow --- src/lisflood/hydrological_modules/routing.py | 12 ++++++++---- 1 file changed, 8 insertions(+), 4 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8c07f59b..39c3dd5a 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -706,12 +706,17 @@ def dynamic(self, NoRoutingExecuted): ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + #################### # MCT routing ChanQMCTOutStart = self.var.ChanQ.copy() # Outflow at time t q10 + ######cm + # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 # metto a 1 la portata in arrivo dalle celle Kinematic + ######cm + ChanM3Start = self.var.ChanM3.copy() # Channel storage at time t V0 @@ -1075,8 +1080,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha ### this is where MCT function for single cell will go q11[idpix], qout_ave[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], ChanM3MCT0[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) - - #q11[idpix] = q01[idpix]00000 + # q11[idpix] = q01[idpix] # tanto entra tanto esce nelle celle mct # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 @@ -1090,7 +1094,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # Inflow at time t+1 # I(t+dt) # dim=mct pixels - q01 = self.get_mct_pix(Qup01) #+ self.get_mct_pix(SideflowChanMCT) * xpix + q01 = self.get_mct_pix(Qup01) ### end pixels loop ### @@ -1201,7 +1205,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s q11 = c1 * q01 + c2 * q00 + c3 * q10 + c4 * ql if q11 < 0.: - q11=0. + q11 = eps #### end of for loop From b21a17541f1ec079fa01e744e72c280fc8879ee5 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 18 May 2023 17:03:16 +0000 Subject: [PATCH 024/134] Code clean up --- .../kinematic_wave_parallel_tools.pyx | 4 +- src/lisflood/hydrological_modules/routing.py | 353 +----------------- 2 files changed, 12 insertions(+), 345 deletions(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx index 5812163a..20797027 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.pyx @@ -71,7 +71,9 @@ def kinematicRouting(double[::1] discharge, double[::1] lateral_inflow, double[: cdef void solve1Pixel(long pix, double[::1] discharge, double[::1] lateral_inflow, double[::1] constant,\ long[:,::1] upstream_lookup, long[::1] num_upstream_pixels, double[::1] a_dx_div_dt,\ double[::1] b_a_dx_div_dt, double beta, double inv_beta, double b_minus_1) nogil: - """""" + """ + Te Chow et al. 1988 - Applied Hydrology - Chapter 9.6 + """ cdef: long ups_ix, count = 0 double error, const_plus_ups_infl, a_cpui_pow_b_m_1, secant_bound, other_bound, previous_estimate = -1., upstream_inflow = 0. diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 39c3dd5a..6046b3d8 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -869,7 +869,7 @@ def KINRouting(self,ChanQKin,SideflowChan): SideflowChan = lateral inflow into the channel segment (cell) [m3/channellength/sec] :returns ChanQKin = outflow at time t+dt (instant) [m3/s] - ChanQ = average outflow for calc step dt (average) [m3/s] + ChanQKinOutAvg = average outflow for calc step dt (average) [m3/s] ChanM3Kin = amount of water stored in the channel at time t+dt (instant) [m3] """ @@ -880,16 +880,18 @@ def KINRouting(self,ChanQKin,SideflowChan): ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin ** self.var.Beta # Volume in channel at beginning of computation step (at t) (instant) + ChanQKinOutStart = ChanQKin.copy() # Outflow at time t + ChanQKinPcr=decompress(ChanQKin) #pcr ChanQKinInStart=compressArray(upstream(self.var.LddChan,ChanQKinPcr)) - # Inflow at time t + # Inflow at time t (instant) #################################################################################################### #self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") self.river_router.kinematicWaveRouting(ChanQKin, SideflowChan, "main_channel") - # ChanQKin is outflow (at x+dx) at time t+dt (instant) + # ChanQKin is outflow (at x+dx) at time t in input and at time t+dt in output (instant) #################################################################################################### #self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin**self.var.Beta @@ -913,6 +915,10 @@ def KINRouting(self,ChanQKin,SideflowChan): # Calc average outflow for calc step ChanQKinOutAvg = (ChanQKinInEnd+ChanQKinInStart)/2 + SideflowChan * self.var.ChanLength - (ChanM3Kin-ChanM3KinStart)/self.var.DtSecChannel + # Check for negative values in the average discharge + ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) + ChanM3Kin = ChanM3KinStart + ((ChanQKinInEnd+ChanQKinInStart)/2 + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel + ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) return ChanQKin,ChanQKinOutAvg,ChanM3Kin @@ -1239,186 +1245,6 @@ def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s return q11, qout_ave, V11, Cm1, Dm1 - - def MCTRouting(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): - """This function implements Muskingum-Cunge-Todini routing method - References: - Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. - (Chapter 5) - Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 - (Appendix B) - """ - - # #cm - # ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) - # ChanM3 = self.get_mct_pix(self.var.ChanM3) - # h = self.hoV(ChanM3) - # q_h, a, b, p, cel = self.qoh(h) - # q_V = self.qoV(ChanM3) - - # channel geometry - MCT pixels only - xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] - slp = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) - s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) - Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] - ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side - Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] - alpha = 5./3. # exponent (5/3) - ANalv = np.arctan(1 / ChanSdXdY) # angle of the riverbed side [rad] - - dt = self.var.DtSecChannel # computation timestep for channel [s] - eps = 1e-06 - - # MCT Courant and Reynolds numbers from previous step (MCT pixels) - Cm0 = self.get_mct_pix(self.var.PrevCm0) - Dm0 = self.get_mct_pix(self.var.PrevDm0) - - dx = xpix - - # instant discharge at channel input (I x=0) and channel output (O x=1) - # at the end of previous calculation step I(t) and O(t) and - # at the end of current calculation step I(t+1) and O(t+1) - - # Inflow at time t - # I(t) - # calc contribution from upstream pixels at time t (dim=all pixels) - q00 = self.get_mct_pix(ChanQMCTInStart) - # channel storage at the beginning of the computation step (t) - ChanM3MCT0 = self.get_mct_pix(ChanM3Start) - - # Outflow at time t - # O(t) - # dim=mct pixels - q10 = self.get_mct_pix(ChanQMCTOutStart) - - - # calc contribution from upstream pixels at time t+1 (dim=all pixels) - ChanQMCTPcr=decompress(ChanQKinOut) #pcr - ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) - # Inflow at time t+1 - # I(t+dt) - # dim=mct pixels - q01 = self.get_mct_pix(ChanQMCTUp1) #+ self.get_mct_pix(SideflowChanMCT) * xpix - - - # ### start pixels loop ### - # num_orders = self.mct_river_router.order_start_stop.shape[0] - # for order in range(num_orders): - # first = self.mct_river_router.order_start_stop[order, 0] - # last = self.mct_river_router.order_start_stop[order, 1] - # for index in range(first, last): - # idpix = self.mct_river_router.pixels_ordered[index] - - - ############################################################################# - ######### to pixels routing loop ############################################ - # Calc O' first guess for the outflow at time t+dt - # O'(t+dt)=O(t)+(I(t+dt)-I(t)) - q11 = q10 + (q01 - q00) - #if q11 < 0: q11 = 0. - # check for negative discharge values - q11 = np.maximum(q11, 0) - - # calc reference discharge at time t - # qm0 = (I(t)+O(t))/2 - # qm0 = (q00 + q10) / 2. - - # Calc O(t+dt)=q11 at time t+dt using MCT equations - for i in range(2): # repeat 2 times for accuracy - - # reference I discharge at x=0 - qmx0 = (q00 + q01) / 2. - # if qmx0 == 0: qmx0 = eps - qmx0 = np.maximum(qmx0, 0) - hmx0 = self.hoq(qmx0) - - # reference O discharge at x=1 - qmx1 = (q10 + q11) / 2. - # if qmx1 == 0: qmx1 = eps - qmx1 = np.maximum(qmx1, 0) - hmx1 = self.hoq(qmx1) - - # # reference discharge at time t+dt - # # qmm = (I(t+dt)+O(t+dt))/2 - # qmm = (q01 + q11) / 2 - # if qmm == 0: qmm = eps - # qmm = [0 if i < 0 else i for i in qmm] - # hmm = self.hoq(qmm) - # dummy, Amm,Bmm,Pmm, cmm = self.qoh(hmm) - # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qoh(hmx0) - # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qoh(hmx1) - - # Calc riverbed slope correction factor - cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) - sfx = slp * cor - # if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 - sfx = np.where(sfx < (0.8 * slp), 0.8 * slp, sfx) - - # Calc reference discharge time t+dt - # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 - qm1 = (q01 + q11) / 2. - hm1 = self.hoq(qm1) - dummy, Ax1,Bx1,Px1,ck1 = self.qoh(hm1) - # if (ck1 <= eps): ck1 = eps - ck1 = np.where(ck1 < eps, eps, ck1) - - # Calc correcting factor Beta at time t+dt - Beta1 = ck1 / (qm1 / Ax1) - # calc corrected cell Reynolds number at time t+dt - Dm1 = qm1 / (sfx * ck1 * Bx1 * dx) / Beta1 - # corrected Courant number at time t+dt - Cm1: object = ck1 * dt / dx / Beta1 - - # Calc MCT parameters - den = 1 + Cm1 + Dm1 - c1 = (-1 + Cm1 + Dm1) / den - c2 = (1 + Cm0 - Dm0) / den * (Cm1 / Cm0) - c3 = (1 - Cm0 + Dm0) / den * (Cm1 / Cm0) - c4 = (2 * Cm1) / den - - # Calc flow at time t+1 - q11 =c1 * q01 + c2 * q00 + c3 * q10 - - # if (q11 < 0.): q11=0. - q11 = np.maximum(q11, 0) - # end of loop - - k1 = dt / Cm1 - x1 = (1. - Dm1) / 2. - - # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt - V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 - # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same! - # if (V11 < 0): V11=0. - V11 = np.maximum(V11, 0) - - # save Courant and Reynolds numbers at t+1 for state files - Cm0 = Cm1 - Dm0 = Dm1 - - - # Calc average outflow for calc step - #ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt - qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt - - # Check for negative discharge - qout_ave = np.where(qout_ave < 0, 0, qout_ave) - # Update volume when negative discharge is set =0 - V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt - - ############################################################################# - ######### end pixels routing loop ############################################ - - ChanQMCTOut = self.put_mct_pix(q11) - Cmout = self.put_mct_pix(Cm0) - Dmout = self.put_mct_pix(Dm0) - ChanM3MCTOut = self.put_mct_pix(V11) - ChanQMCTOutAve = self.put_mct_pix(qout_ave) - - return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout - - - def hoq(self,q,s0,Balv,ANalv,Nalv): """Given a generic section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes water depth (y), wet contour (Bx), wet area (Ax) and wave celerity (cel) using Newton-Raphson method. @@ -1625,167 +1451,6 @@ def rad_from_dxdy(self,dxdy): - - def MCTRoutingSAVE(self, ChanQMCTOutStart, ChanQMCTInStart, ChanQKinOut, SideflowChanMCT, ChanM3Start): - """This function implements Muskingum-Cunge-Todini routing method - References: - Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. - (Chapter 5) - Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 - (Appendix B) - """ - - # #cm - # ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) - # ChanM3 = self.get_mct_pix(self.var.ChanM3) - # h = self.hoV(ChanM3) - # q_h, a, b, p, cel = self.qoh(h) - # q_V = self.qoV(ChanM3) - - # channel geometry - xpix = self.get_mct_pix(self.var.ChanLength) # dimension along the flow direction [m] - slp = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) - dt = self.var.DtSecChannel # computation timestep for channel [s] - eps = 1e-06 - - # MCT Courant and Reynolds numbers from previous step (MCT pixels) - Cm0 = self.get_mct_pix(self.var.PrevCm0) - Dm0 = self.get_mct_pix(self.var.PrevDm0) - - dx = xpix - - # instant discharge at channel input (I x=0) and channel output (O x=1) - # at the end of previous calculation step I(t) and O(t) and - # at the end of current calculation step I(t+1) and O(t+1) - - # Inflow at time t - # I(t) - # calc contribution from upstream pixels at time t (dim=all pixels) - q00 = self.get_mct_pix(ChanQMCTInStart) - # channel storage at the beginning of the computation step (t) - ChanM3MCT0 = self.get_mct_pix(ChanM3Start) - - # Outflow at time t - # O(t) - # dim=mct pixels - q10 = self.get_mct_pix(ChanQMCTOutStart) - - # calc contribution from upstream pixels at time t+1 (dim=all pixels) - ChanQMCTPcr = decompress(ChanQKinOut) # pcr - ChanQMCTUp1 = compressArray(upstream(self.var.LddChan, ChanQMCTPcr)) - # Inflow at time t+1 - # I(t+dt) - # dim=mct pixels - q01 = self.get_mct_pix(ChanQMCTUp1) # + self.get_mct_pix(SideflowChanMCT) * xpix - - ############################################################################# - ######### to pixels routing loop ############################################ - # Calc O' first guess for the outflow at time t+dt - # O'(t+dt)=O(t)+(I(t+dt)-I(t)) - q11 = q10 + (q01 - q00) - # if q11 < 0: q11 = 0. - # check for negative discharge values - q11 = np.maximum(q11, 0) - - # calc reference discharge at time t - # qm0 = (I(t)+O(t))/2 - # qm0 = (q00 + q10) / 2. - - # Calc O(t+dt)=q11 at time t+dt using MCT equations - for i in range(2): # repeat 2 times for accuracy - - # reference I discharge at x=0 - qmx0 = (q00 + q01) / 2. - # if qmx0 == 0: qmx0 = eps - qmx0 = np.maximum(qmx0, 0) - hmx0 = self.hoq(qmx0) - - # reference O discharge at x=1 - qmx1 = (q10 + q11) / 2. - # if qmx1 == 0: qmx1 = eps - qmx1 = np.maximum(qmx1, 0) - hmx1 = self.hoq(qmx1) - - # # reference discharge at time t+dt - # # qmm = (I(t+dt)+O(t+dt))/2 - # qmm = (q01 + q11) / 2 - # if qmm == 0: qmm = eps - # qmm = [0 if i < 0 else i for i in qmm] - # hmm = self.hoq(qmm) - # dummy, Amm,Bmm,Pmm, cmm = self.qoh(hmm) - # dummy, Amx0,Bmx0,Pmx0, cmx0 = self.qoh(hmx0) - # dummy, Amx1,Bmx1,Pmx1, cmx1 = self.qoh(hmx1) - - # Calc riverbed slope correction factor - cor = 1 - (1 / slp * (hmx1 - hmx0) / xpix) - sfx = slp * cor - # if sfx < (0.8 * slp): sfx = 0.8 * slp # Nel caso di oscillazioni aumentare 0.5 a 0.8 - sfx = np.where(sfx < (0.8 * slp), 0.8 * slp, sfx) - - # Calc reference discharge time t+dt - # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 - qm1 = (q01 + q11) / 2. - hm1 = self.hoq(qm1) - dummy, Ax1, Bx1, Px1, ck1 = self.qoh(hm1) - # if (ck1 <= eps): ck1 = eps - ck1 = np.where(ck1 < eps, eps, ck1) - - # Calc correcting factor Beta at time t+dt - Beta1 = ck1 / (qm1 / Ax1) - # calc corrected cell Reynolds number at time t+dt - Dm1 = qm1 / (sfx * ck1 * Bx1 * dx) / Beta1 - # corrected Courant number at time t+dt - Cm1: object = ck1 * dt / dx / Beta1 - - # Calc MCT parameters - den = 1 + Cm1 + Dm1 - c1 = (-1 + Cm1 + Dm1) / den - c2 = (1 + Cm0 - Dm0) / den * (Cm1 / Cm0) - c3 = (1 - Cm0 + Dm0) / den * (Cm1 / Cm0) - c4 = (2 * Cm1) / den - - # Calc flow at time t+1 - q11 = c1 * q01 + c2 * q00 + c3 * q10 - - # if (q11 < 0.): q11=0. - q11 = np.maximum(q11, 0) - # end of loop - - k1 = dt / Cm1 - x1 = (1. - Dm1) / 2. - - # Calc the corrected mass-conservative expression for the reach segment storage at time t+dt - V11 = (1 - Dm1) * dt / (2 * Cm1) * q01 + (1 + Dm1) * dt / (2 * Cm1) * q11 - # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same! - # if (V11 < 0): V11=0. - V11 = np.maximum(V11, 0) - - # save Courant and Reynolds numbers at t+1 for state files - Cm0 = Cm1 - Dm0 = Dm1 - - # Calc average outflow for calc step - # ChanQMCTOutAvg = (q01+q00)/2 + SideflowChan * self.var.ChanLength - (V11-ChanM300)/dt - qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt - - # Check for negative discharge - qout_ave = np.where(qout_ave < 0, 0, qout_ave) - # Update volume when negative discharge is set =0 - V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt - - ############################################################################# - ######### end pixels routing loop ############################################ - - ChanQMCTOut = self.put_mct_pix(q11) - Cmout = self.put_mct_pix(Cm0) - Dmout = self.put_mct_pix(Dm0) - ChanM3MCTOut = self.put_mct_pix(V11) - ChanQMCTOutAve = self.put_mct_pix(qout_ave) - - return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout - - - from .kinematic_wave_parallel import rebuildFlowMatrix, decodeFlowMatrix, streamLookups, topoDistFromSea import pandas as pd class mctWave: From 9942231efa1206d0b784f92208ad3361a212df5e Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 19 May 2023 11:33:31 +0000 Subject: [PATCH 025/134] trying to calculate average discharge --- src/lisflood/hydrological_modules/routing.py | 63 +++++++++++++------- 1 file changed, 41 insertions(+), 22 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 6046b3d8..47dbd9cc 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -298,10 +298,16 @@ def initial(self): self.var.ChanIniM3 = self.var.ChanM3.copy() #np self.var.ChanM3Kin = self.var.ChanIniM3.copy().astype(float) #np # Initialise water volume in kinematic wave channels [m3] + self.var.ChanQKin = np.where(self.var.ChannelAlpha > 0, (self.var.TotalCrossSectionArea / self.var.ChannelAlpha) ** self.var.InvBeta, 0).astype(float) # Initialise discharge at kinematic wave pixels (note that InvBeta is # simply 1/beta, computational efficiency!) + ########### cm + self.var.ChanQAvg = self.var.ChanQKin.copy() + # initialise average outflow discharge [m3/s] + ########### cm + self.var.CumQ = maskinfo.in_zero() # ininialise sum of discharge to calculate average @@ -376,12 +382,21 @@ def initial(self): # Dummy code if dynamic wave is not used, in which case ChanQ equals ChanQKin # (needed only for polder routine) - PrevDischarge = loadmap('PrevDischarge') #discharge at the end of previous step + PrevDischarge = loadmap('PrevDischarge') + # outflow discharge at the end of previous step (instant) self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # initialise channel discharge: cold start: equal to ChanQKin # [m3/s] # outflow at the end of previous time step (instant) + # ########### cm + # PrevAvgDischarge = loadmap('PrevAvgDischarge') + # self.var.ChanQAvg = np.where(PrevAvgDischarge == -9999, self.var.ChanQAvg, PrevAvgDischarge) #np + # # initialise average outflow discharge [m3/s] + # # this is dis.nc + # ########### cm + + # Initialising cumulative output variables # These are all needed to compute the cumulative mass balance error @@ -661,10 +676,16 @@ def dynamic(self, NoRoutingExecuted): # Kinematic routing ChanQKinOutStart = self.var.ChanQKin.copy() # Outflow at time t beginning of calculation step (instant) - # ChanM3KinStart = self.var.ChanM3Kin.copy() + + ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) + ######## ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + # Outflow at time t+dt end of calculation step (instant) + # Average outflow on calc step dt + # Channel storage at time t+dt end of calculation step (instant) + ######## # updating variables for next step self.var.ChanQKin = ChanQKinOutEnd.copy() @@ -679,11 +700,11 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+1 for full section (instant) # same as ChanM3KinEnd for Kinematic routing + ############### cm # self.var.sumDisDay += self.var.ChanQ - #cm self.var.sumDisDay += ChanQKinOutAvg - #cm - # using average discharge on computation step + # using average discharge on calc step + ############### cm # sum of outflow on model step @@ -856,7 +877,7 @@ def dynamic(self, NoRoutingExecuted): def KINRouting(self,ChanQKin,SideflowChan): - """Based on a 4-point implicit finite-difference solution of the kinematic wave equations. + """Based on a 4-point implicit finite-difference numerical solution of the kinematic wave equations. Given the instantaneous flow rate (discharge), the corresponding amount of water stored in the channel is calculated using Manning equation for steady state flow where Alpha is currently fixed at half of bankful depth. @@ -878,15 +899,12 @@ def KINRouting(self,ChanQKin,SideflowChan): # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! - ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin ** self.var.Beta - # Volume in channel at beginning of computation step (at t) (instant) + ChanQKinInStartPcr = decompress(ChanQKin) # pcr + ChanQKinInStart = compressArray(upstream(self.var.LddKinematic, ChanQKinInStartPcr)) + # Inflow at time t beginning of calculation step (instant) - ChanQKinOutStart = ChanQKin.copy() - # Outflow at time t - - ChanQKinPcr=decompress(ChanQKin) #pcr - ChanQKinInStart=compressArray(upstream(self.var.LddChan,ChanQKinPcr)) - # Inflow at time t (instant) + ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin**self.var.Beta + # ChanM3KinStart is the Volume in channel at time t beginning of computation step (instant) #################################################################################################### #self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") @@ -909,18 +927,19 @@ def KINRouting(self,ChanQKin,SideflowChan): # Correct negative discharge at the end of computation step (instant) # Outflow at time t+1 - ChanQKinPcr=decompress(ChanQKin) #pcr - ChanQKinInEnd=compressArray(upstream(self.var.LddChan,ChanQKinPcr)) - # Inflow at time t+1 + ChanQKinInEndPcr = decompress(ChanQKin) # pcr + ChanQKinInEnd = compressArray(upstream(self.var.LddKinematic, ChanQKinInEndPcr)) + # Inflow at time t+dt end of calculation step (instant) + + ChanQKinOutAvg = (ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - (ChanM3Kin - ChanM3KinStart) / self.var.DtSecChannel + # calc average outflow over dt - # Calc average outflow for calc step - ChanQKinOutAvg = (ChanQKinInEnd+ChanQKinInStart)/2 + SideflowChan * self.var.ChanLength - (ChanM3Kin-ChanM3KinStart)/self.var.DtSecChannel - # Check for negative values in the average discharge ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) - ChanM3Kin = ChanM3KinStart + ((ChanQKinInEnd+ChanQKinInStart)/2 + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel + ChanM3Kin = ChanM3KinStart + ((ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # Correct any negative value in the average discharge and update the final volume - return ChanQKin,ChanQKinOutAvg,ChanM3Kin + return ChanQKin, ChanQKinOutAvg, ChanM3Kin def SplitRouting(self, SideflowChan): From 8ab14cd502449e9766ec3195de32b8db578b235a Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 19 May 2023 14:20:14 +0000 Subject: [PATCH 026/134] Using ChanQ and not the averege --- src/lisflood/hydrological_modules/routing.py | 68 ++++++++++++-------- 1 file changed, 42 insertions(+), 26 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 47dbd9cc..de974afd 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -303,10 +303,10 @@ def initial(self): # Initialise discharge at kinematic wave pixels (note that InvBeta is # simply 1/beta, computational efficiency!) - ########### cm - self.var.ChanQAvg = self.var.ChanQKin.copy() - # initialise average outflow discharge [m3/s] - ########### cm + # ########### cm + # self.var.ChanQAvg = self.var.ChanQKin.copy() + # # initialise average outflow discharge [m3/s] + # ########### cm self.var.CumQ = maskinfo.in_zero() # ininialise sum of discharge to calculate average @@ -681,7 +681,7 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t beginning of calculation step (instant) ######## - ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) # Outflow at time t+dt end of calculation step (instant) # Average outflow on calc step dt # Channel storage at time t+dt end of calculation step (instant) @@ -701,8 +701,8 @@ def dynamic(self, NoRoutingExecuted): # same as ChanM3KinEnd for Kinematic routing ############### cm - # self.var.sumDisDay += self.var.ChanQ - self.var.sumDisDay += ChanQKinOutAvg + self.var.sumDisDay += self.var.ChanQ + # self.var.sumDisDay += ChanQKinOutAvg # using average discharge on calc step ############### cm # sum of outflow on model step @@ -725,7 +725,7 @@ def dynamic(self, NoRoutingExecuted): # ChanM3KinStart = self.var.ChanM3.copy() # Channel storage at time t (instant) - ChanQKinOutEnd,ChanQKinOutAvg,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) #################### @@ -758,12 +758,12 @@ def dynamic(self, NoRoutingExecuted): # Outflow Q at the end of computation step t+1 for full section (instant) self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) # Channel storage V at the end of computation step t+1 for full section (instant) - ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) + # ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) # Average outflow Q over the calculation step (average) # cm - # self.var.sumDisDay += self.var.ChanQ - self.var.sumDisDay += ChanQOutAvg + self.var.sumDisDay += self.var.ChanQ + # self.var.sumDisDay += ChanQOutAvg # cm # using average discharge on computation step # sum of outflow on model step @@ -899,12 +899,12 @@ def KINRouting(self,ChanQKin,SideflowChan): # side flow consists of runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) SideflowChan[np.isnan(SideflowChan)] = 0 # TEMPORARY FIX - SEE DEBUG ABOVE! - ChanQKinInStartPcr = decompress(ChanQKin) # pcr - ChanQKinInStart = compressArray(upstream(self.var.LddKinematic, ChanQKinInStartPcr)) - # Inflow at time t beginning of calculation step (instant) - - ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin**self.var.Beta - # ChanM3KinStart is the Volume in channel at time t beginning of computation step (instant) + # ChanQKinInStartPcr = decompress(ChanQKin) # pcr + # ChanQKinInStart = compressArray(upstream(self.var.LddKinematic, ChanQKinInStartPcr)) + # # Inflow at time t beginning of calculation step (instant) + # + # ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin**self.var.Beta + # # ChanM3KinStart is the Volume in channel at time t beginning of computation step (instant) #################################################################################################### #self.river_router.kinematicWaveRouting(self.var.ChanQKin, SideflowChan, "main_channel") @@ -927,19 +927,35 @@ def KINRouting(self,ChanQKin,SideflowChan): # Correct negative discharge at the end of computation step (instant) # Outflow at time t+1 - ChanQKinInEndPcr = decompress(ChanQKin) # pcr - ChanQKinInEnd = compressArray(upstream(self.var.LddKinematic, ChanQKinInEndPcr)) - # Inflow at time t+dt end of calculation step (instant) - ChanQKinOutAvg = (ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - (ChanM3Kin - ChanM3KinStart) / self.var.DtSecChannel + ###### trying to calculate the average outflow and conserving the mass + + # ChanQKinInEndPcr = decompress(ChanQKin) # pcr + # ChanQKinInEnd = compressArray(upstream(self.var.LddKinematic, ChanQKinInEndPcr)) + # # Inflow at time t+dt end of calculation step (instant) + + # ChanQKinOutAvg = (ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - (ChanM3Kin - ChanM3KinStart) / self.var.DtSecChannel # calc average outflow over dt + # This is not correct - ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) - ChanM3Kin = ChanM3KinStart + ((ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel - ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Correct any negative value in the average discharge and update the final volume + # ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) + # ChanM3Kin = ChanM3KinStart + ((ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel + + # #################################### + # ChanQInAvgPcr = decompress(self.var.ChanQAvg) # pcr + # ChanQInAvg = compressArray(upstream(self.var.LddKinematic, ChanQInAvgPcr)) + # # Inflow at time t+dt end of calculation step (instant) + # + # ChanQKinOutAvg = ChanQInAvg + SideflowChan * self.var.ChanLength - (ChanM3Kin - ChanM3KinStart) / self.var.DtSecChannel + # + # ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) + # ChanM3Kin = ChanM3KinStart + (ChanQInAvg + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel + # ##################################### + + # ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # # Correct any negative value in the average discharge and update the final volume - return ChanQKin, ChanQKinOutAvg, ChanM3Kin + return ChanQKin, ChanM3Kin def SplitRouting(self, SideflowChan): From 90df0959608a54110241ca37dad70ddcf11a0bee Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 31 May 2023 15:59:35 +0000 Subject: [PATCH 027/134] Code clean up --- src/lisflood/hydrological_modules/routing.py | 184 +++---------------- 1 file changed, 27 insertions(+), 157 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index de974afd..1a41bc49 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -230,16 +230,10 @@ def initial(self): ChanSdXdY = loadmap('ChanSdXdY') self.var.ChanSdXdY = loadmap('ChanSdXdY') - - - - # #cm + #######################cm # self.var.ChanSdXdY = self.var.ChanSdXdY * 0 # sezione rettangolare # self.var.ChanBottomWidth = self.var.ChanBottomWidth * 0 # sezione tringolare - # #cm - - - + #######################cm self.var.ChanUpperWidth = self.var.ChanBottomWidth + 2 * ChanSdXdY * ChanDepthThreshold # Channel upper width [m] @@ -303,11 +297,6 @@ def initial(self): # Initialise discharge at kinematic wave pixels (note that InvBeta is # simply 1/beta, computational efficiency!) - # ########### cm - # self.var.ChanQAvg = self.var.ChanQKin.copy() - # # initialise average outflow discharge [m3/s] - # ########### cm - self.var.CumQ = maskinfo.in_zero() # ininialise sum of discharge to calculate average @@ -389,17 +378,9 @@ def initial(self): # [m3/s] # outflow at the end of previous time step (instant) - # ########### cm - # PrevAvgDischarge = loadmap('PrevAvgDischarge') - # self.var.ChanQAvg = np.where(PrevAvgDischarge == -9999, self.var.ChanQAvg, PrevAvgDischarge) #np - # # initialise average outflow discharge [m3/s] - # # this is dis.nc - # ########### cm - # Initialising cumulative output variables # These are all needed to compute the cumulative mass balance error - self.var.DischargeM3Out = maskinfo.in_zero() # cumulative discharge at outlet [m3] self.var.TotalQInM3 = maskinfo.in_zero() @@ -408,6 +389,7 @@ def initial(self): self.var.sumIn = maskinfo.in_zero() #non so se sostituita da self.var.sumInWB # self.var.sumInWB = maskinfo.in_zero() + def initialSecond(self): """ initial part of the second channel routing module """ @@ -532,48 +514,6 @@ def initialMCT(self): self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) - # def initialMCT(self): - # """ initial part of the Muskingum-Kunge-Todini routing module - # """ - # settings = LisSettings.instance() - # option = settings.options - # binding = settings.binding - # - # self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel - # # ************************************************************ - # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ - # # ************************************************************ - # if option['MCTRouting']: - # - # # ************************************************************ - # # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ - # # ************************************************************ - # if option['MCTRouting'] and option['SplitRouting']: - # print('initialMCT') - # ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') - # AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta - # self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) - # self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 - # # calculating second Alpha for second (virtual) channel - # - # if not(option['InitLisflood']): - # - # # use loadmap_base function as we don't want to cache avgdis it in the calibration - # self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') - # # Over bankful discharge starts at QLimit - # # set to mutiple of average discharge (map from prerun) - # # QSplitMult =2 is around 90 to 95% of Q - # - # self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) - # # Water volume in bankful when over bankful discharge starts - # - # #self.var.ChanM3Kin = ... - # - # #self.var.ChanQKin = ... - # - # # maskinfo = MaskInfo.instance() - - # -------------------------------------------------------------------------- @@ -683,7 +623,6 @@ def dynamic(self, NoRoutingExecuted): ######## ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) # Outflow at time t+dt end of calculation step (instant) - # Average outflow on calc step dt # Channel storage at time t+dt end of calculation step (instant) ######## @@ -700,12 +639,8 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+1 for full section (instant) # same as ChanM3KinEnd for Kinematic routing - ############### cm self.var.sumDisDay += self.var.ChanQ - # self.var.sumDisDay += ChanQKinOutAvg - # using average discharge on calc step - ############### cm - # sum of outflow on model step + # sum of outflow on model sub-step # SPLIT ROUTING - no InitLisfllod @@ -726,13 +661,15 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t (instant) ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + # Outflow at time t+dt end of calculation step (instant) + # Channel storage at time t+dt end of calculation step (instant) #################### # MCT routing ChanQMCTOutStart = self.var.ChanQ.copy() - # Outflow at time t q10 + # Outflow at time t q10 (instant) ######cm # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 # metto a 1 la portata in arrivo dalle celle Kinematic @@ -742,17 +679,22 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t V0 ChanQMCTInStart = self.var.PrevQMCTin.copy() + # Inflow at time t - #ChanQMCTOutEnd,ChanQMCTOutAvg,ChanM3MCTEnd,Cmend, Dmend = self.MCTRouting(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) - ChanQMCTOutEnd,ChanQMCTOutAvg,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) + # calling MCT routing + ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) + # Outflow at time t+dt end of calculation step (instant) + # Channel storage at time t+dt end of calculation step (instant) # update input Q at t for next step ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) + # Storing MCT Courant and Reynolds numbers for state files self.var.PrevCm0 = Cmend self.var.prevDm0 = Dmend + #################### # combine results from Kin and MCT pixels self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) # Outflow Q at the end of computation step t+1 for full section (instant) @@ -761,11 +703,8 @@ def dynamic(self, NoRoutingExecuted): # ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) # Average outflow Q over the calculation step (average) - # cm + self.var.sumDisDay += self.var.ChanQ - # self.var.sumDisDay += ChanQOutAvg - # cm - # using average discharge on computation step # sum of outflow on model step @@ -927,34 +866,6 @@ def KINRouting(self,ChanQKin,SideflowChan): # Correct negative discharge at the end of computation step (instant) # Outflow at time t+1 - - ###### trying to calculate the average outflow and conserving the mass - - # ChanQKinInEndPcr = decompress(ChanQKin) # pcr - # ChanQKinInEnd = compressArray(upstream(self.var.LddKinematic, ChanQKinInEndPcr)) - # # Inflow at time t+dt end of calculation step (instant) - - # ChanQKinOutAvg = (ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - (ChanM3Kin - ChanM3KinStart) / self.var.DtSecChannel - # calc average outflow over dt - # This is not correct - - # ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) - # ChanM3Kin = ChanM3KinStart + ((ChanQKinInStart + ChanQKinInEnd) / 2 + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel - - # #################################### - # ChanQInAvgPcr = decompress(self.var.ChanQAvg) # pcr - # ChanQInAvg = compressArray(upstream(self.var.LddKinematic, ChanQInAvgPcr)) - # # Inflow at time t+dt end of calculation step (instant) - # - # ChanQKinOutAvg = ChanQInAvg + SideflowChan * self.var.ChanLength - (ChanM3Kin - ChanM3KinStart) / self.var.DtSecChannel - # - # ChanQKinOutAvg = np.maximum(ChanQKinOutAvg, 0.0) - # ChanM3Kin = ChanM3KinStart + (ChanQInAvg + SideflowChan * self.var.ChanLength - ChanQKinOutAvg) * self.var.DtSecChannel - # ##################################### - - # ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # # Correct any negative value in the average discharge and update the final volume - return ChanQKin, ChanM3Kin @@ -1016,34 +927,6 @@ def SplitRouting(self, SideflowChan): return - # def MCTRouting(self,ChanQMCT,SideflowChanMCT): - # ChanQMCTPcr=decompress(ChanQMCT) #pcr - # ChanQMCTUp=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) - # # calc contribution from upstream pixels (dim=all pixels) - # # LddChan is necessary to include Kin pixels contributing to MCT pixels - # - # x = np.ma.masked_where(self.var.IsChannelKinematic,ChanQMCTUp) - # y = x.compressed() - # # only include upstream contributions for MCT pixels (dim=MCTpix) - # - # xside = np.ma.masked_where(self.var.IsChannelKinematic,SideflowChanMCT) - # yside = xside.compressed() - # # calc side contributions for MCT pixels only (dim=MCTpix) - # - # z = y + yside - # # calc routing for MCT pixels only (dim=MCTpix) - # - # x[~x.mask] = z - # # explode results the the MCT pixels mask (dim=all) - # ChanQMCT = x.data - # # update results in vector (dim=all) - # - # ChanQQMCT = ChanQMCT.copy() - # ChanM3MCT = self.var.ChanM3Kin.copy() - # - # return ChanQMCT,ChanQQMCT,ChanM3MCT - - def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): """This function implements Muskingum-Cunge-Todini routing method References: @@ -1096,7 +979,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # dim=mct pixels # set to zero at beginning of computation q11 = np.zeros_like(q01) - qout_ave = np.zeros_like(q01) + # qout_ave = np.zeros_like(q01) V11 = np.zeros_like(q01) # Lateral flow Ql (average) during interval dt [m3/s] @@ -1118,19 +1001,22 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # get pixel ID idpix = self.mct_river_router.pixels_ordered[index] - ### this is where MCT function for single cell will go - q11[idpix], qout_ave[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], ChanM3MCT0[idpix], Cm0[idpix], Dm0[idpix], + ### calling MCT function for single cell + q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) # q11[idpix] = q01[idpix] # tanto entra tanto esce nelle celle mct # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 Q11 = self.put_mct_pix(q11) + # combine results in pixels of this order with results in pixels of upstream orders ChanQOut = np.where(Q11 == 0, ChanQOut, Q11) - # for each pixel in the catchmnt, calc contribution from upstream pixels + + # for each pixel in the catchment, calc contribution from upstream pixels QupPcr=decompress(ChanQOut) #pcr Qup01=compressArray(upstream(self.var.LddChan,QupPcr)) + # slice the MCT pixels # Inflow at time t+1 # I(t+dt) @@ -1144,12 +1030,12 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha Cmout = self.put_mct_pix(Cm0) Dmout = self.put_mct_pix(Dm0) ChanM3MCTOut = self.put_mct_pix(V11) - ChanQMCTOutAve = self.put_mct_pix(qout_ave) + #ChanQMCTOutAve = self.put_mct_pix(qout_ave) - return ChanQMCTOut, ChanQMCTOutAve, ChanM3MCTOut, Cmout, Dmout + return ChanQMCTOut, ChanM3MCTOut, Cmout, Dmout - def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): + def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): ''' This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. References: @@ -1162,7 +1048,6 @@ def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s :param q01: I(t+dt) - inflow at time t+dt :param q00: I(t) - inflow at time t :param ql: lateral flow over time dt [m3/s] - :param ChanM3MCT0: V(t) - channel storage volume at time t :param Cm0: Courant number at time t :param Dm0: Reynolds number at time t :param dt: time interval step @@ -1173,7 +1058,6 @@ def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s :param Nalv: channel Manning roughness coefficient :return: q11: Outflow at O(t+dt) - qout_ave: average outflow over time interval dt V11: channel storage volume at t+dt Cm1: Courant number at t+1 for state file Dm1: Reynolds number at t+1 for state file @@ -1258,26 +1142,12 @@ def MCTRouting_single(self, q10, q01, q00, ql, ChanM3MCT0, Cm0, Dm0, dt, xpix, s # the storage as a weighted average of inflow and outflow.The rationale of this approach lies in the fact that the outflow # of the reach implicitly takes the effect of the lateral inflow into account. V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 - # V0 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! + if (V11 < 0): V11=0. - # Calc average outflow for calc step - # qout_ave = (q01 + q00) / 2 - (V11 - ChanM3MCT0) / dt - # Calc average outflow for calc step considerinbg lateral flow - qout_ave = (q01 + q00) / 2 + ql - (V11 - ChanM3MCT0) / dt - - # Check for negative discharge - if qout_ave < 0: - qout_ave = 0. - - # Update volume when negative discharge is set =0 - # V11 = ChanM3MCT0 + ((q01 + q00) / 2 - qout_ave) * dt - # Update volume when negative discharge is set =0 with lateral flow - V11 = ChanM3MCT0 + ((q01 + q00) / 2 + ql - qout_ave) * dt - # Outflow at O(t+dt), average outflow in time dt, water volume at t+dt, Courant and Reynolds numbers at t+1 for state files - return q11, qout_ave, V11, Cm1, Dm1 + return q11, V11, Cm1, Dm1 def hoq(self,q,s0,Balv,ANalv,Nalv): From de44f9ef3a26b59e13e0057edc9c8e92efc9ccca Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 2 Feb 2024 16:43:52 +0000 Subject: [PATCH 028/134] Comments and Kinematic mass balance --- src/lisflood/Lisflood_dynamic.py | 12 +- src/lisflood/global_modules/settings.py | 4 + src/lisflood/hydrological_modules/routing.py | 293 ++++++++++++------- 3 files changed, 195 insertions(+), 114 deletions(-) diff --git a/src/lisflood/Lisflood_dynamic.py b/src/lisflood/Lisflood_dynamic.py index 364f0a40..52a99bc2 100644 --- a/src/lisflood/Lisflood_dynamic.py +++ b/src/lisflood/Lisflood_dynamic.py @@ -184,27 +184,29 @@ def splitlanduse(array1, array2=None, array3=None): # if option['simulatePolders']: # ChannelToPolderM3=ChannelToPolderM3Old; + # Calculate total water storage in river channel if option['InitLisflood'] or (not(option['SplitRouting'])): # kinematic routing self.ChanM3 = self.ChanM3Kin.copy() - # Total channel storage [cu m], equal to ChanM3Kin + # Total channel storage [m3], equal to ChanM3Kin fir kinematic routing only at t+dt else: # split routing self.ChanM3 = self.ChanM3Kin + self.Chan2M3Kin - self.Chan2M3Start + # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull (Chan2M3Kin - Chan2M3Start) + # at t+dt # Total channel storage [cu m], equal to ChanM3Kin # sum of both lines # CrossSection2Area = pcraster.max(scalar(0.0), (self.Chan2M3Kin - self.Chan2M3Start) / self.ChanLength) self.TotalCrossSectionArea = self.ChanM3 * self.InvChanLength + # Total river channel cross-section area at t+dt + # Calculate total river outflow at t+dt as average of routing sub-steps (average) self.sumDis += self.sumDisDay self.ChanQAvg = self.sumDisDay/self.NoRoutSteps + # Average outflow on the model computation step - # Total volume of water in channel per inv channel length - # New cross section area (kinematic wave) - # This is the value after the kinematic wave, so we use ChanM3Kin here - # (NOT ChanQKin, which is average discharge over whole step, we need state at the end of all iterations!) # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% if not(option['dynamicWave']): diff --git a/src/lisflood/global_modules/settings.py b/src/lisflood/global_modules/settings.py index 5ad8a28f..54f5759b 100755 --- a/src/lisflood/global_modules/settings.py +++ b/src/lisflood/global_modules/settings.py @@ -180,11 +180,15 @@ def __init__(self, mask, maskmap): self.mask_all.mask = self.flat self.info = self.Info(mask, mask.shape, self.flat, self.flat.shape, self.mask_compressed.shape, self.mask_all) self._in_zero = np.zeros(self.mask_compressed.shape) + self._in_one = np.ones(self.mask_compressed.shape) self.maskmap = maskmap def in_zero(self): return self._in_zero.copy() + def in_one(self): + return self._in_one.copy() + def __iter__(self): return iter(self.info) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 1a41bc49..129fbdda 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -65,6 +65,7 @@ def initial(self): """ maskinfo = MaskInfo.instance() self.var.avgdis = maskinfo.in_zero() + #cmcheck -> this is a fixed exponent 3/5 from Manning's equation! No need to read it from a map. self.var.Beta = loadmap('beta') self.var.InvBeta = 1 / self.var.Beta # Inverse of beta for kinematic wave @@ -87,7 +88,9 @@ def initial(self): self.var.InvNoRoutSteps = 1 / float(self.var.NoRoutSteps) # inverse for faster calculation inside the dynamic section -# -------------------------- LDD + # ************************************************************ + # ***** DRAINAGE NETWORK GEOMETRY - LDD ********************* + # ************************************************************ self.var.Ldd = lddmask(loadmap('Ldd', pcr=True, lddflag=True), self.var.MaskMap) #pcr # Cut ldd to size of MaskMap (NEW, 29/9/2004) @@ -159,6 +162,7 @@ def initial(self): self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool # Identify channel pixels where Muskingum-Cunge-Todini is used self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) + # mask with cells using MCT self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np @@ -166,16 +170,14 @@ def initial(self): self.var.LddMCT = lddmask(self.var.Ldd, self.var.IsChannelMCTPcr) #pcr self.var.LddMCTNp = compressArray(self.var.LddMCT) #np - # Ldd for MCT wave + # Ldd for MCT routing self.var.LddKinematic = lddmask(self.var.Ldd, self.var.IsChannelKinematicPcr) #pcr - # Ldd for kinematic wave: ends (pit) just before dynamic stretch - # Following statements produce an ldd network that connects the pits in - # LddKinematic to the nearest downstream mct wave pixel + # Ldd for kinematic routing else: self.var.LddKinematic = LddChan - # No dynamic/MCT wave, so kinematic ldd equals channel ldd + # No dynamic/MCT routing, so kinematic ldd equals channel ldd self.var.LddKinematicNp = compressArray(self.var.LddKinematic) #np @@ -241,6 +243,11 @@ def initial(self): ChanDepthThreshold * (self.var.ChanUpperWidth + self.var.ChanBottomWidth) # Area (sq m) of bank full discharge cross section [m2] # (trapezoid area equation) + + #cmcheck -> half area is wrong Area at half bankfull is NOT half of the area at bankfull + # ChanUpperWidthHalfBankFull = self.var.ChanBottomWidth + 2 * ChanSdXdY * 0.5 * ChanDepthThreshold + # TotalCrossSectionAreaHalfBankFull = 0.5 * \ + # 0.5 * ChanDepthThreshold * (ChanUpperWidthHalfBankFull + self.var.ChanBottomWidth) TotalCrossSectionAreaHalfBankFull = 0.5 * self.var.TotalCrossSectionAreaBankFull # Cross-sectional area at half bankfull [m2] # This can be used to initialise channel flow (see below) @@ -266,20 +273,23 @@ def initial(self): # ***** CHANNEL ALPHA (KIN. WAVE)***************************** # ************************************************************ # Following calculations are needed to calculate Alpha parameter in kinematic - # wave. Alpha currently fixed at half of bankful depth (this may change in + # wave. Alpha currently fixed at half of bankfull depth (this may change in # future versions!) # Manning's steady state flow equations # from Ven The Chow - Applied Hydrology - page 283 # https: // wecivilengineers.files.wordpress.com / 2017 / 10 / applied - hydrology - ven - te - chow.pdf + # A = Alpha * Q ** Beta + # Q = (A/Alpha) ** (1/Beta) = (invAlpha * A)**invBeta ChanWaterDepthAlpha = np.where(self.var.IsChannel, 0.5 * ChanDepthThreshold, 0.0) # Reference water depth for calculation of Alpha: half of bankfull self.var.ChanWettedPerimeterAlpha = self.var.ChanBottomWidth + 2 * \ np.sqrt(np.square(ChanWaterDepthAlpha) + np.square(ChanWaterDepthAlpha * ChanSdXdY)) - # Channel wetted perimeter [m](Pythagoras) - AlpTermChan = (self.var.ChanMan / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta - self.var.AlpPow = 2.0 / 3.0 * self.var.Beta + # Channel wetted perimeter half bankfull [m](Pythagoras) + AlpTermChan = (self.var.ChanMan / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta + self.var.AlpPow = 2.0 / 3.0 * self.var.Beta # this is 2/5 self.var.ChannelAlpha = (AlpTermChan * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) + self.var.InvChannelAlpha = 1 / self.var.ChannelAlpha # ChannelAlpha for kinematic wave @@ -288,7 +298,7 @@ def initial(self): # ************************************************************ self.var.ChanM3 = self.var.TotalCrossSectionArea * self.var.ChanLength #np - # channel water volume [m3] + # totalk river channel water volume [m3] self.var.ChanIniM3 = self.var.ChanM3.copy() #np self.var.ChanM3Kin = self.var.ChanIniM3.copy().astype(float) #np # Initialise water volume in kinematic wave channels [m3] @@ -382,12 +392,12 @@ def initial(self): # Initialising cumulative output variables # These are all needed to compute the cumulative mass balance error self.var.DischargeM3Out = maskinfo.in_zero() - # cumulative discharge at outlet [m3] + # cumulative discharge volume at outlet [m3] self.var.TotalQInM3 = maskinfo.in_zero() - # cumulative inflow from inflow hydrographs [m3] + # cumulative inflow volume from inflow hydrographs [m3] self.var.sumDis = maskinfo.in_zero() self.var.sumIn = maskinfo.in_zero() #non so se sostituita da self.var.sumInWB - # self.var.sumInWB = maskinfo.in_zero() + self.var.sumInWB = maskinfo.in_zero() def initialSecond(self): @@ -406,6 +416,7 @@ def initialSecond(self): ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) + #cmcheck -> using channel wetted perimeter of half bankfull ChanWettedPerimeterAlpha ? self.var.InvChannelAlpha2 = 1 / self.var.ChannelAlpha2 # calculating second Alpha for second (virtual) channel @@ -421,6 +432,7 @@ def initialSecond(self): self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) # Water volume in bankful when over bankful discharge starts + # Manning's equation # QLimit should NOT be dependent on the NoRoutSteps (number of routing steps) # self.var.QLimit = self.var.QLimit / self.var.NoRoutSteps #original @@ -433,55 +445,64 @@ def initialSecond(self): ############################################### self.var.Chan2M3Start = self.var.ChannelAlpha2 * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) - # virtual amount of water in the channel through second line - + # virtual (note we use ChannelAlpha2 now) amount of water in the main channel at the activation of second line of routing 'floodplains' (=> start using increased Manning coeff) self.var.Chan2QStart = self.var.QLimit - compressArray(upstream(self.var.LddKinematic, decompress(self.var.QLimit))) + # virtual outflow from main channel at the activation of second line of routing (=> start using increased Manning coeff) # because kinematic routing with a low amount of discharge leads to long travel time: # Starting Q for second line is set to a higher value self.var.Chan2M3Kin = self.var.CrossSection2Area * self.var.ChanLength + self.var.Chan2M3Start + # Total (virtual) volume of water in river channel when second routing line is active (= using increased Manning coeff) self.var.ChanM3Kin = self.var.ChanM3 - self.var.Chan2M3Kin + self.var.Chan2M3Start + # (Real) Volume of water in main channel when second line of routing is active (= using riverbed Manning coeff) - self.var.ChanM3Kin = np.where((self.var.ChanM3Kin < 0.0) & (self.var.ChanM3Kin > -0.0000001),0.0,self.var.ChanM3Kin) # this line prevents the warmstart from failing in case of small numerical imprecisions when writing and reading the maps + self.var.ChanM3Kin = np.where((self.var.ChanM3Kin < 0.0) & (self.var.ChanM3Kin > -0.0000001),0.0,self.var.ChanM3Kin) + # this line prevents the warm start from failing in case of small numerical imprecisions when writing and reading the maps self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) + # Total (virtual) outflow from river channel when second routing line is active (= using increased Manning coeff) self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) + # (Real) outflow from main channel when second line of routing is active (= using riverbed Manning coeff) # Initialise parallel kinematic wave router: main channel-only routing if self.var.ChannelAlpha2 is None; else split-routing(main channel + floodplains) + # Initialization includes LDD for kinematic routing maskinfo = MaskInfo.instance() self.river_router = kinematicWave(compressArray(self.var.LddKinematic), ~maskinfo.info.mask, self.var.ChannelAlpha, self.var.Beta, self.var.ChanLength, self.var.DtRouting, int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) - - # if option['InitLisflood'] and option['repMBTs']: - # self.var.StorageStepINIT= self.var.ChanM3Kin - # self.var.DischargeM3StructuresIni = maskinfo.in_zero() - # if option['simulateReservoirs']: - # self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - # if option['simulateLakes']: - # self.var.StorageStepINIT += self.var.LakeStorageIniM3 - # self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) - # - # if not option['InitLisflood'] and option['repMBTs']: - # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - # if not(option['SplitRouting']): - # self.var.StorageStepINIT = self.var.ChanM3Kin - # if option['simulateReservoirs']: - # self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - # if option['simulateLakes']: - # self.var.StorageStepINIT += self.var.LakeStorageIniM3 - # DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) - # self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) - # else: - # self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start - # if option['simulateReservoirs']: - # self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - # if option['simulateLakes']: - # self.var.StorageStepINIT += self.var.LakeStorageIniM3 - # self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) + # WATER BALANCE + if option['InitLisflood'] and option['repMBTs']: + # Calculate initial water storage in rivers (no lakes no reservoirs) + self.var.StorageStepINIT= self.var.ChanM3Kin + # Water volume in river channels + self.var.DischargeM3StructuresIni = maskinfo.in_zero() + if option['simulateReservoirs']: + self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + if option['simulateLakes']: + self.var.StorageStepINIT += self.var.LakeStorageIniM3 + self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) + + if not option['InitLisflood'] and option['repMBTs']: + DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + # cmchek to fix IsUpsOfStructureKinematicC for MCT + if not(option['SplitRouting']): + self.var.StorageStepINIT = self.var.ChanM3Kin + if option['simulateReservoirs']: + self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + if option['simulateLakes']: + self.var.StorageStepINIT += self.var.LakeStorageIniM3 + DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) + self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) + else: + self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start + if option['simulateReservoirs']: + self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + if option['simulateLakes']: + self.var.StorageStepINIT += self.var.LakeStorageIniM3 + self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) def initialMCT(self): """ initial part of the Muskingum-Kunge-Todini routing module @@ -490,24 +511,28 @@ def initialMCT(self): option = settings.options binding = settings.binding - self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel + self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the riverbed channel # ************************************************************ - # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ + # ***** INITIALISATION FOR MCT ************ # ************************************************************ if option['MCTRouting']: + maskinfo = MaskInfo.instance() # initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT - self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, self.var.ChanQKin * 0, PrevQMCTin) #np - # MCT inflow at time t0 + self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np + # MCT inflow (x) to MCT pixel at time t0 + PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT - self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, self.var.ChanQKin * 0, PrevQMCTout) #np - # MCT outflow at time t0 + self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np + # MCT outflow (x+dx) from MCT pixel at time t0 + PrevCmMCT = loadmap('PrevCmMCTInitValue') # Cm for MCT - self.var.PrevCm0 = np.where(PrevCmMCT == -9999, self.var.ChanQKin/self.var.ChanQKin, PrevCmMCT) #np + self.var.PrevCm0 = np.where(PrevCmMCT == -9999, maskinfo.in_one(), PrevCmMCT) #np PrevDmMCT = loadmap('PrevDmMCTInitValue') # Dm for MCT - self.var.PrevDm0 = np.where(PrevDmMCT == -9999, self.var.ChanQKin * 0, PrevDmMCT) #np + self.var.PrevDm0 = np.where(PrevDmMCT == -9999, maskinfo.in_zero(), PrevDmMCT) #np self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) + # # Initialise mct wave router # self.mct_river_router = mctWave(compressArray(self.var.LddMCT), ~maskinfo.info.mask) @@ -610,52 +635,59 @@ def dynamic(self, NoRoutingExecuted): # ***** ROUTING **************** # ************************************************************ if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() + # use kinematic routing in all grid cells - # KINEMATIC ROUTING ONLY - InitLisflood + # KINEMATIC ROUTING - InitLisflood if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): + #cmcheck no need to copy into another variable, use self.var.ChanQKin # Kinematic routing ChanQKinOutStart = self.var.ChanQKin.copy() - # Outflow at time t beginning of calculation step (instant) + # Outflow (x+dx) at time t beginning of calculation step (instant) + # This is used to calculate inflow from upstream cells ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) ######## ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) - # Outflow at time t+dt end of calculation step (instant) + # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) ######## # updating variables for next step self.var.ChanQKin = ChanQKinOutEnd.copy() - # Outflow Q at time t+1 (end of calc step) (instant) + # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) self.var.ChanM3Kin = ChanM3KinEnd.copy() - # Channel storage V at time t+1 (end of calc step) (instant) + # Channel storage V at time t+dt (end of calc step) (instant) self.var.ChanQ = ChanQKinOutEnd.copy() - # Outflow Q at the end of computation step t+1 for full section (instant) - # same as ChanQKinOutEnd for Kinematic routing + # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) + # same as ChanQKinOutEnd for Kinematic routing only self.var.ChanM3 = ChanM3KinEnd.copy() - # Channel storage V at the end of computation step t+1 for full section (instant) - # same as ChanM3KinEnd for Kinematic routing + # Channel storage V at the end of computation step t+dt for full section (instant) + # same as ChanM3KinEnd for Kinematic routing only self.var.sumDisDay += self.var.ChanQ - # sum of outflow on model sub-step + # sum of total river outflow on model sub-step # SPLIT ROUTING - no InitLisfllod if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): self.SplitRouting(SideflowChan) self.var.sumDisDay += self.var.ChanQ + # sum of total river outflow on model sub-step # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): #################### # Kinematic routing + # Solving Kinematic routing first + # Kinematic routing is solved on all pixels (including MCT pixels) because we need input from upstream Kin pixels to MCT + # cmcheck this should be changed because it's a waste of computation time ChanQKinOutStart = self.var.ChanQ.copy() - # Outflow Q at time t beginning of calculation step (instant) + # Outflow (x+dx) Q at time t beginning of calculation step (instant) # ChanM3KinStart = self.var.ChanM3.copy() # Channel storage at time t (instant) @@ -669,43 +701,46 @@ def dynamic(self, NoRoutingExecuted): # MCT routing ChanQMCTOutStart = self.var.ChanQ.copy() - # Outflow at time t q10 (instant) + # Outflow (x+dx) at time t q10 (instant) ######cm - # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 # metto a 1 la portata in arrivo dalle celle Kinematic + # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 #cmcheck metto a 1 la portata in arrivo dalle celle Kinematic ######cm ChanM3Start = self.var.ChanM3.copy() # Channel storage at time t V0 ChanQMCTInStart = self.var.PrevQMCTin.copy() - # Inflow at time t + # Inflow (x) at time t + # This is coming from upstream pixels # calling MCT routing + # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) - # Outflow at time t+dt end of calculation step (instant) + # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - # update input Q at t for next step + # update input (x) Q at t for next step ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) + # using LddChan here because we need to input from upstream pixels to include kinematic pixels # Storing MCT Courant and Reynolds numbers for state files self.var.PrevCm0 = Cmend self.var.prevDm0 = Dmend #################### - # combine results from Kin and MCT pixels + # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) - # Outflow Q at the end of computation step t+1 for full section (instant) + # Outflow (x+dx) Q at the end of computation step t+dt (instant) self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) - # Channel storage V at the end of computation step t+1 for full section (instant) + # Channel storage V at the end of computation step t+dt (instant) # ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) # Average outflow Q over the calculation step (average) self.var.sumDisDay += self.var.ChanQ - # sum of outflow on model step + # sum of total river outflow on model sub-step TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) @@ -713,20 +748,28 @@ def dynamic(self, NoRoutingExecuted): ### # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- - ''' - option['repMBTs']=True + #''' + # option['repMBTs']=True if option['repMBTs']: - if option['InitLisflood'] or (not(option['SplitRouting'])): + if option['InitLisflood'] or (not(option['SplitRouting'])): + # Kinematic routing and MCT if NoRoutingExecuted == (self.var.NoRoutSteps-1): - StorageStep = self.var.ChanM3Kin.copy() + # StorageStep = self.var.ChanM3Kin.copy() + StorageStep = self.var.ChanM3.copy() + # Water storage at t+dt end of routing step: rivers channels + # cmcheck using ChanM3 so it's OK for both MCT and KIN + ChanQAvgR = self.var.sumDisDay/self.var.NoRoutSteps + # average (of instantaneous) outflow (x+dx) at t+dt end of routing step sum1=ChanQAvgR.copy() sum1[self.var.AtLastPointC == 0] = 0 OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) + # average outflow volume (x+dx) volume at t+dt maskinfo = MaskInfo.instance() DisStructureR = maskinfo.in_zero() - DischargeM3StructuresR = maskinfo.in_zero() + DischargeM3StructuresR = maskinfo.in_zero() + if not option['InitLisflood']: if option['simulateReservoirs']: sum1 =self.var.ChanQ.copy() @@ -734,6 +777,7 @@ def dynamic(self, NoRoutingExecuted): DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) DischargeM3StructuresR -= self.var.DischargeM3StructuresIni + if not option['InitLisflood']: if option['simulateLakes']: sum1 =self.var.ChanQ.copy() @@ -746,10 +790,11 @@ def dynamic(self, NoRoutingExecuted): DischargeM3Lake = np.take(np.bincount(self.var.Catchments, weights=DisLake),self.var.Catchments) DischargeM3StructuresR += DischargeM3Lake DischargeM3StructuresR -= self.var.DischargeM3StructuresIni - # Total Mass Balance Error in m3 per catchment for Initial Run OR Split Routing OFF + + # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] - ''' + #''' # ---- Uncomment lines in order to compute the mass balance error within the routing module for the options split routing ---- ''' @@ -819,17 +864,16 @@ def KINRouting(self,ChanQKin,SideflowChan): """Based on a 4-point implicit finite-difference numerical solution of the kinematic wave equations. Given the instantaneous flow rate (discharge), the corresponding amount of water stored in the channel is calculated using Manning equation for steady state flow where Alpha is currently fixed - at half of bankful depth. + at half of bankfull depth. See: Te Chow, V. and Maidment, D.R. and Mays, L.W. (1988). Applied Hydrology. McGraw-Hill. (Sec. 9.6) https://ponce.sdsu.edu/Applied_Hydrology_Chow_1988.pdf A = alpha * Q**beta V = chanlength * alpha * Q**beta Takes: - ChanQKin = inflow from upstream channels [m3/sec] (instant) + ChanQKin = inflow (at x) from upstream channels [m3/sec] (instant) SideflowChan = lateral inflow into the channel segment (cell) [m3/channellength/sec] :returns - ChanQKin = outflow at time t+dt (instant) [m3/s] - ChanQKinOutAvg = average outflow for calc step dt (average) [m3/s] + ChanQKin = outflow (x+dx) at time t+dt (instant) [m3/s] ChanM3Kin = amount of water stored in the channel at time t+dt (instant) [m3] """ @@ -840,7 +884,7 @@ def KINRouting(self,ChanQKin,SideflowChan): # ChanQKinInStartPcr = decompress(ChanQKin) # pcr # ChanQKinInStart = compressArray(upstream(self.var.LddKinematic, ChanQKinInStartPcr)) - # # Inflow at time t beginning of calculation step (instant) + # # Inflow (at space x) at time t+dt beginning of calculation step (instant) from upstream cells # # ChanM3KinStart = self.var.ChanLength * self.var.ChannelAlpha * ChanQKin**self.var.Beta # # ChanM3KinStart is the Volume in channel at time t beginning of computation step (instant) @@ -858,21 +902,21 @@ def KINRouting(self,ChanQKin,SideflowChan): #self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) ChanM3Kin = np.maximum(ChanM3Kin, 0.0) # Check for negative volumes at the end of computation step - # Volume at time t+1 + # Volume at time t+dt #self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) ChanQKin = (ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # Update instant outflow after removing negative volumes. - # Correct negative discharge at the end of computation step (instant) - # Outflow at time t+1 + # Correct for negative discharge at the end of computation step (instant) + # Outflow (x+dx) at time t+dt return ChanQKin, ChanM3Kin def SplitRouting(self, SideflowChan): # ---- Double Routing --------------- - # routing is split in two (virtual) channels) + # routing is split in two (virtual) channels: main channel and virtual channel representing floodplains + #Split sideflow between the two lines of routing # Ad SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin / (self.var.ChanM3Kin + self.var.Chan2M3Kin), 0.0) @@ -884,43 +928,61 @@ def SplitRouting(self, SideflowChan): self.var.Sideflow1Chan = np.where( (self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, SideflowRatio * SideflowChan, SideflowChan) + # sideflow to the main channel ####################################### self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) # too small values are avoided Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan + # sideflow to the 'floodplains' channel - Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # originale + Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # original + #cmcheck should I use Qlimit instead of Chan2QStart ??? # as kinematic wave gets slower with less water # a constant amount of water has to be added # -> add QLimit discharge + # --- Main channel routing --- self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + # sef.var.ChanQKin is outflow from main channel (at x+dx) at time t in input and at time t+dt in output (instant) self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta + # self.var.ChanM3Kin is the Volume in main channel at end of computation step (at t+dt) (instant) self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) # Check for negative volumes at the end of computation step + # Volume in main channel at t+dt self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** ( self.var.InvBeta) # Correct negative discharge at the end of computation step + # Outflow (x+dx) at t+dt (instant) + - # --- Floodplains routing --- + # --- Floodplains channel routing (increased Manning coeff) --- self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") + # sef.var.Chan2QKin is (virtual) total outflow (at x+dx) at time t in input and at time t+dt in output (instant) (using increased Manninig coeff) self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta + # self.var.Chan2M3Kin is total (virtual) volume of water in river channel when second routing line is active (= using increased Manning coeff) diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) - # Check for negative volume in second line of routing at the end of routing substep + # Check for negative volume over bankfull at the end of routing step + # Total volume cannot be smaller than the bankfull volume calculated with increased Manning coeff (Chan2M3Start) self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength - # Compute cross-section for second line of routing + # Compute cross-section area for floodplains only in second line of routing (above bankfull) self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** ( self.var.InvBeta) + # (virtual) total outflow (at x + dx) at time t + dt (instant)(using increased Manninig coeff) # Correct negative discharge at the end of computation step in second line + FldpQKin = self.var.Chan2QKin - self.var.QLimit + # Outflow at t+dt from floodplains only (above bankfull) + + # --- Combine the two lines of routing --- self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + # (real) total outflow (at x + dx) at time t + dt (instant) # Superposition Kinematic # Main channel routing and floodplains routing # ----------End splitrouting------------------------------------------------- @@ -929,6 +991,9 @@ def SplitRouting(self, SideflowChan): def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): """This function implements Muskingum-Cunge-Todini routing method + MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. + Function get_mct_pix is used to compress arrays with all river channel pixels to arrays containing MCT pixels only. + Function put_mct_pix is used to explode arrays containing MCT pixels only back to arrays containing all rivers pixels. References: Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. (Chapter 5) @@ -942,7 +1007,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] - ANalv = np.arctan(1/ChanSdXdY) # angle of the riverbed side [rad] + ANalv = np.arctan(1/ChanSdXdY) # angle of the riverbed side [rad] dt = self.var.DtSecChannel # computation time step for channel [s] @@ -966,7 +1031,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # dim=mct pixels q10 = self.get_mct_pix(ChanQMCTOutStart) - # calc contribution from upstream pixels at time t+1 (dim=all pixels) + # calc contribution from upstream pixels at time t+1 (dim=all pixels because we need to include both MCT and KIN pixels at the same time) ChanQMCTPcr=decompress(ChanQKinOut) #pcr ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) # Inflow at time t+1 @@ -974,7 +1039,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # dim=mct pixels q01 = self.get_mct_pix(ChanQMCTUp1) - # Outflow at time t+1 + # Outflow (x+1) at time t+1 # O(t+dt) # dim=mct pixels # set to zero at beginning of computation @@ -1023,6 +1088,8 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # dim=mct pixels q01 = self.get_mct_pix(Qup01) + # repeat for next order of pixels + ### end pixels loop ### # explode arrays with MCT results on all catchment pixels @@ -1044,9 +1111,9 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 (Appendix B) - :param q10: O(t) - outflow at time t - :param q01: I(t+dt) - inflow at time t+dt - :param q00: I(t) - inflow at time t + :param q10: O(t) - outflow (x+dx) at time t + :param q01: I(t+dt) - inflow (x) at time t+dt + :param q00: I(t) - inflow (x) at time t :param ql: lateral flow over time dt [m3/s] :param Cm0: Courant number at time t :param Dm0: Reynolds number at time t @@ -1057,7 +1124,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa :param ANalv: angle of the riverbed side [rad] :param Nalv: channel Manning roughness coefficient :return: - q11: Outflow at O(t+dt) + q11: Outflow (x+dx) at O(t+dt) V11: channel storage volume at t+dt Cm1: Courant number at t+1 for state file Dm1: Reynolds number at t+1 for state file @@ -1151,10 +1218,12 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa def hoq(self,q,s0,Balv,ANalv,Nalv): - """Given a generic section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes + """Water depth from discharge. + Given a generic cross-section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes water depth (y), wet contour (Bx), wet area (Ax) and wave celerity (cel) using Newton-Raphson method. Reference: - Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. + Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 Parameters: q: steady-state discharge river discharge [m3/s] @@ -1188,7 +1257,7 @@ def hoq(self,q,s0,Balv,ANalv,Nalv): # triangular or trapezoid cross-section s = np.sin(ANalv) else: - # rectangular corss-section + # rectangular cross-section s = 1. # water depth first approximation y0 based on steady state q @@ -1226,7 +1295,8 @@ def hoq(self,q,s0,Balv,ANalv,Nalv): def qoh(self,y,s0,Balv,ANalv,Nalv): - """ Given a generic river cross-section (rectangular, triangular and trapezoidal) + """ Discharge from water depth. + Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water depth (y [m]) referred to the bottom of the riverbed, it uses Manning’s formula to calculate: q: steady-state discharge river discharge [m3/s] a: wet area [m2] @@ -1277,7 +1347,8 @@ def qoh(self,y,s0,Balv,ANalv,Nalv): def hoV(self,V,xpix,Balv,ANalv): - """ Given a generic river cross-section (rectangular, triangular and trapezoidal) and and a volume V, + """Water depth from volume. + Given a generic river cross-section (rectangular, triangular and trapezoidal) and a volume V, it calculates the water depth referred to the bottom of the riverbed [m] (y). Takes: V : volume of water in channel riverbed @@ -1308,7 +1379,8 @@ def hoV(self,V,xpix,Balv,ANalv): def qoV(self,V,xpix,s0,Balv,ANalv,Nalv): - """ Given a generic river cross-section (rectangular, triangular and trapezoidal) + """ Discharge from volume. + Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). """ y = self.hoV(V,xpix,Balv,ANalv) @@ -1322,7 +1394,8 @@ def cotan(self,x): def get_mct_pix(self,var): - """For any array (var) with all catchment pixels, it masks the MCT pixels (x) and + """Compress to mct array. + For any array (var) with all catchment pixels, it masks the MCT pixels (x) and reduces the dimension of the array (y). :return: y: same as input array (var) but only MCT pixels @@ -1334,7 +1407,8 @@ def get_mct_pix(self,var): def put_mct_pix(self,var): - """For any array (var) with MCT pixels only, it explodes the dimension to all catchment pixels and puts + """Explode mct array. + For any array (var) with MCT pixels only, it explodes the dimension to all catchment pixels and puts values from array var in the corresponting MCT pixels. Uses self.var.IsChannelKinematic to define MCT pixels :return: @@ -1350,6 +1424,7 @@ def put_mct_pix(self,var): def rad_from_dxdy(self,dxdy): + """Calculate radians""" rad = np.arctan(1 / dxdy) angle = np.rad2deg(rad) return rad From 95ad2ffced4a9d91c33e85c67ea88248d57de611 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 13 Feb 2024 12:28:46 +0000 Subject: [PATCH 029/134] Uncommented mass balance error calculation --- src/lisflood/hydrological_modules/routing.py | 210 +++++++++--------- .../hydrological_modules/structures.py | 22 +- 2 files changed, 126 insertions(+), 106 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 129fbdda..8129c7a4 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -96,10 +96,6 @@ def initial(self): # Cut ldd to size of MaskMap (NEW, 29/9/2004) # Prevents 'unsound' ldd if MaskMap covers sub-area of ldd - # Count (inverse of) upstream area for each pixel - # Needed if we want to calculate average values of variables - # upstream of gauge locations - self.var.UpArea = accuflux(self.var.Ldd, self.var.PixelAreaPcr) #pcr # Upstream contributing area for each pixel # Note that you might expext that values of UpArea would be identical to @@ -107,29 +103,38 @@ def initial(self): # This is NOT actually the case, because outflow points are shifted 1 # cell in upstream direction in the calculation of CatchArea! self.var.InvUpArea = 1 / self.var.UpArea #pcr + # Count (inverse of) upstream area for each pixel + # Needed if we want to calculate average values of variables + # upstream of gauge locations # Calculate inverse, so we can multiply in dynamic (faster than divide) self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool # Identify channel pixels + self.var.IsStructureChan = np.bool8(maskinfo.in_zero()) #bool + # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the + # channel routing. Set to (dummy) value of zero modified in reservoir and lake + # routines (if those are used) + self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool # Identify kinematic wave channel pixels # (identical to IsChannel, unless dynamic/MCT wave is used, see below) self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) #bool - # Map that identifies special inflow/outflow structures (reservoirs, lakes) within the + # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake # routines (if those are used) + LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) #pcr LddChanNp=compressArray(LddChan) #np # ldd for Channel network self.var.MaskMap = boolean(self.var.Ldd) #pcr self.var.MaskMapNp=compressArray(self.var.MaskMap) #np # Use boolean version of Ldd as calculation mask - # (important for correct mass balance check any water generated outside of Ldd won't reachchannel anyway) + # (important for correct mass balance check any water generated outside of Ldd won't reach channel anyway) self.var.LddToChan = lddrepair(ifthenelse(self.var.IsChannelPcr, 5, self.var.Ldd)) #pcr self.var.LddToChanNp=compressArray(self.var.LddToChan) #np - # Routing of runoff (incl. ground water)en + # Routing of runoff (incl. groundwater) AtOutflow = boolean(pit(self.var.Ldd)) #pcr AtOutflowNp=compressArray(AtOutflow) #np # find outlet points... @@ -187,7 +192,7 @@ def initial(self): self.var.AtLastPoint = AtOutflow #AtOutflowNp=compressArray(AtOutflow) #np self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) - # assign unique identifier to each of them + # assign unique identifier to each of the outlet points maskinfo = MaskInfo.instance() #lddC = compressArray(self.var.LddKinematic) #np @@ -195,6 +200,7 @@ def initial(self): inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) #pcr inArNp=compressArray(inAr) #np # giving a number to each non missing pixel as id + #self.var.downstruct = (compressArray(downstream(self.var.LddKinematic, inAr))).astype("int32") #np self.var.downstruct = (compressArray(downstream(LddChan, inAr))).astype("int32") #np # each upstream pixel gets the id of the downstream pixel @@ -750,102 +756,102 @@ def dynamic(self, NoRoutingExecuted): # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- #''' # option['repMBTs']=True - if option['repMBTs']: - if option['InitLisflood'] or (not(option['SplitRouting'])): - # Kinematic routing and MCT - if NoRoutingExecuted == (self.var.NoRoutSteps-1): - # StorageStep = self.var.ChanM3Kin.copy() - StorageStep = self.var.ChanM3.copy() - # Water storage at t+dt end of routing step: rivers channels - # cmcheck using ChanM3 so it's OK for both MCT and KIN - - ChanQAvgR = self.var.sumDisDay/self.var.NoRoutSteps - # average (of instantaneous) outflow (x+dx) at t+dt end of routing step - sum1=ChanQAvgR.copy() - sum1[self.var.AtLastPointC == 0] = 0 - OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) - # average outflow volume (x+dx) volume at t+dt - - maskinfo = MaskInfo.instance() - DisStructureR = maskinfo.in_zero() - DischargeM3StructuresR = maskinfo.in_zero() - - if not option['InitLisflood']: - if option['simulateReservoirs']: - sum1 =self.var.ChanQ.copy() - StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() - DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) - DischargeM3StructuresR -= self.var.DischargeM3StructuresIni - - if not option['InitLisflood']: - if option['simulateLakes']: - sum1 =self.var.ChanQ.copy() - StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() - DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) - maskinfo = MaskInfo.instance() - DisLake = maskinfo.in_zero() - np.put(DisLake, self.var.LakeIndex, 0.5 * self.var.LakeInflowCC * self.var.DtRouting) - DischargeM3Lake = np.take(np.bincount(self.var.Catchments, weights=DisLake),self.var.Catchments) - DischargeM3StructuresR += DischargeM3Lake - DischargeM3StructuresR -= self.var.DischargeM3StructuresIni - - # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) - MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN - self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] + if option['repMBTs']: + if option['InitLisflood'] or (not(option['SplitRouting'])): + # Kinematic routing and MCT + if NoRoutingExecuted == (self.var.NoRoutSteps-1): + # StorageStep = self.var.ChanM3Kin.copy() + StorageStep = self.var.ChanM3.copy() + # Water storage at t+dt end of routing step: rivers channels + # cmcheck using ChanM3 so it's OK for both MCT and KIN + + ChanQAvgR = self.var.sumDisDay/self.var.NoRoutSteps + # average (of instantaneous) outflow (x+dx) at t+dt end of routing step + sum1=ChanQAvgR.copy() + sum1[self.var.AtLastPointC == 0] = 0 + OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) + # average outflow volume (x+dx) volume at t+dt + + maskinfo = MaskInfo.instance() + DisStructureR = maskinfo.in_zero() + DischargeM3StructuresR = maskinfo.in_zero() + + if not option['InitLisflood']: + if option['simulateReservoirs']: + sum1 =self.var.ChanQ.copy() + StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() + DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) + DischargeM3StructuresR -= self.var.DischargeM3StructuresIni + + if not option['InitLisflood']: + if option['simulateLakes']: + sum1 =self.var.ChanQ.copy() + StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() + DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) + maskinfo = MaskInfo.instance() + DisLake = maskinfo.in_zero() + np.put(DisLake, self.var.LakeIndex, 0.5 * self.var.LakeInflowCC * self.var.DtRouting) + DischargeM3Lake = np.take(np.bincount(self.var.Catchments, weights=DisLake),self.var.Catchments) + DischargeM3StructuresR += DischargeM3Lake + DischargeM3StructuresR -= self.var.DischargeM3StructuresIni + + # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) + MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN + self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] #''' # ---- Uncomment lines in order to compute the mass balance error within the routing module for the options split routing ---- - ''' - if option['repMBTs']: - if (not(option['InitLisflood'])) and (option['SplitRouting']): - # compute the mass balance at the last of the sub-routing steps in order to account for the contributions of lakes and reservoirs - if NoRoutingExecuted == (self.var.NoRoutSteps-1): - ChanQAvgSR = self.var.sumDisDay/self.var.NoRoutSteps - sum1=ChanQAvgSR.copy() - sum1[self.var.AtLastPointC == 0] = 0 - OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) - - StorageStep=[] - StorageStep= self.var.ChanM3Kin.copy()+self.var.Chan2M3Kin.copy()-self.var.Chan2M3Start.copy() - - - maskinfo = MaskInfo.instance() - DisStructureSR = maskinfo.in_zero() - DischargeM3StructuresR = maskinfo.in_zero() - - if option['simulateReservoirs']: - sum1=[] - sum1 =self.var.ChanQ.copy() - StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() - DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) - DischargeM3StructuresR -= self.var.DischargeM3StructuresIni - - if option['simulateLakes']: - sum1 =self.var.ChanQ.copy() - StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() - DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) - DisLake = maskinfo.in_zero() - np.put(DisLake, self.var.LakeIndex, 0.5 * self.var.LakeInflowCC * self.var.DtRouting) - DischargeM3Lake = np.take(np.bincount(self.var.Catchments, weights=DisLake),self.var.Catchments) - DischargeM3StructuresR += DischargeM3Lake - - DischargeM3StructuresR -= self.var.DischargeM3StructuresIni - - # Mass Balance Error due to the Split Routing module - StorageStep1=np.take(np.bincount(self.var.Catchments, weights=StorageStep), self.var.Catchments) - - self.var.MBErrorSplitRoutingM3 = - StorageStep1 + self.var.StorageStepINIT - OutStep - DischargeM3StructuresR + self.var.AddedTRUN - # Discharge error at the outlet pointt [m3/s] - QoutCorrection=self.var.MBErrorSplitRoutingM3/self.var.DtRouting - QoutCorrection[self.var.AtLastPointC == 0] = 0 - self.var.OutletDischargeErrorSplitRouting = np.take(np.bincount(self.var.Catchments,weights=QoutCorrection),self.var.Catchments) - - self.var.StorageStepINIT= StorageStep1.copy()+DischargeM3StructuresR - ''' + #''' + if option['repMBTs']: + if (not(option['InitLisflood'])) and (option['SplitRouting']): + # compute the mass balance at the last of the sub-routing steps in order to account for the contributions of lakes and reservoirs + if NoRoutingExecuted == (self.var.NoRoutSteps-1): + ChanQAvgSR = self.var.sumDisDay/self.var.NoRoutSteps #self.var.ChanQ + sum1=ChanQAvgSR.copy() + sum1[self.var.AtLastPointC == 0] = 0 + OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) + + StorageStep=[] + StorageStep= self.var.ChanM3Kin.copy()+self.var.Chan2M3Kin.copy()-self.var.Chan2M3Start.copy() + + + maskinfo = MaskInfo.instance() + DisStructureSR = maskinfo.in_zero() + DischargeM3StructuresR = maskinfo.in_zero() + + if option['simulateReservoirs']: + sum1=[] + sum1 =self.var.ChanQ.copy() + StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() + DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) + DischargeM3StructuresR -= self.var.DischargeM3StructuresIni + + if option['simulateLakes']: + sum1 =self.var.ChanQ.copy() + StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() + DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) + DisLake = maskinfo.in_zero() + np.put(DisLake, self.var.LakeIndex, 0.5 * self.var.LakeInflowCC * self.var.DtRouting) + DischargeM3Lake = np.take(np.bincount(self.var.Catchments, weights=DisLake),self.var.Catchments) + DischargeM3StructuresR += DischargeM3Lake + + DischargeM3StructuresR -= self.var.DischargeM3StructuresIni + + # Mass Balance Error due to the Split Routing module + StorageStep1=np.take(np.bincount(self.var.Catchments, weights=StorageStep), self.var.Catchments) + + self.var.MBErrorSplitRoutingM3 = - StorageStep1 + self.var.StorageStepINIT - OutStep - DischargeM3StructuresR + self.var.AddedTRUN + # Discharge error at the outlet pointt [m3/s] + QoutCorrection=self.var.MBErrorSplitRoutingM3/self.var.DtRouting + QoutCorrection[self.var.AtLastPointC == 0] = 0 + self.var.OutletDischargeErrorSplitRouting = np.take(np.bincount(self.var.Catchments,weights=QoutCorrection),self.var.Catchments) + + self.var.StorageStepINIT= StorageStep1.copy()+DischargeM3StructuresR + #''' self.var.FlowVelocity = np.minimum(self.var.ChanQKin/TotalCrossSectionArea, 0.36*self.var.ChanQKin**0.24) @@ -950,7 +956,7 @@ def SplitRouting(self, SideflowChan): # self.var.ChanM3Kin is the Volume in main channel at end of computation step (at t+dt) (instant) self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) - # Check for negative volumes at the end of computation step + # Check for negative volumes at the end of computation step in main channel # Volume in main channel at t+dt self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** ( self.var.InvBeta) diff --git a/src/lisflood/hydrological_modules/structures.py b/src/lisflood/hydrological_modules/structures.py index 60ced355..bae99e7b 100755 --- a/src/lisflood/hydrological_modules/structures.py +++ b/src/lisflood/hydrological_modules/structures.py @@ -43,7 +43,11 @@ def __init__(self, structures_variable): def initial(self): """ initial part of the structures module """ - self.var.LddStructuresKinematic = self.var.LddKinematic + self.var.LddStructuresKinematic = self.var.LddKinematic #pcr + LddStructuresKinematicNp = compressArray(self.var.LddStructuresKinematic) + self.var.LddStructuresChan = self.var.LddChan #pcr + LddStructuresChanNp = compressArray(self.var.LddStructuresChan) + settings = LisSettings.instance() option = settings.options if not option['InitLisflood']: @@ -52,10 +56,20 @@ def initial(self): self.var.LddKinematic, cover(boolean(decompress(self.var.IsStructureKinematic)), boolean(0)) ) + IsUpsOfStructureChan = downstream( + self.var.LddChan, + cover(boolean(decompress(self.var.IsStructureChan)), boolean(0)) + ) + # Get all pixels just upstream of kinematic structure locations - self.var.IsUpsOfStructureKinematicC = compressArray(IsUpsOfStructureKinematic) + self.var.IsUpsOfStructureKinematicC = compressArray(IsUpsOfStructureKinematic) #np # Unmodified version of LddKinematic is needed to connect inflow and outflow points # of each structure (called LddStructuresKinematic now) + self.var.IsUpsOfStructureChanC = compressArray(IsUpsOfStructureChan) #np + # Unmodified version of LddChan is needed to connect inflow and outflow points + # of each structure (called LddStructuresChan now) + self.var.LddKinematic = lddrepair(ifthenelse(IsUpsOfStructureKinematic, 5, self.var.LddKinematic)) - # Cells just upstream of each structure are treated as pits in the kinematic wave - # channel routing + # Cells just upstream of each structure are treated as pits in the kinematic wave channel routing + self.var.LddChan = lddrepair(ifthenelse(IsUpsOfStructureChan, 5, self.var.LddChan)) + # Cells just upstream of each structure are treated as pits in the kinematic wave channel routing \ No newline at end of file From a84fa49892254ffe1d4e174a9aa57aa01d1b3a90 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 13 Feb 2024 18:57:21 +0000 Subject: [PATCH 030/134] ChanQ and ChanM3 moved from dynamic to routing --- src/lisflood/Lisflood_dynamic.py | 33 ++++++++++---------- src/lisflood/hydrological_modules/routing.py | 23 ++++++++++---- 2 files changed, 34 insertions(+), 22 deletions(-) diff --git a/src/lisflood/Lisflood_dynamic.py b/src/lisflood/Lisflood_dynamic.py index 52a99bc2..07c596b3 100644 --- a/src/lisflood/Lisflood_dynamic.py +++ b/src/lisflood/Lisflood_dynamic.py @@ -184,20 +184,18 @@ def splitlanduse(array1, array2=None, array3=None): # if option['simulatePolders']: # ChannelToPolderM3=ChannelToPolderM3Old; - # Calculate total water storage in river channel - if option['InitLisflood'] or (not(option['SplitRouting'])): - # kinematic routing - self.ChanM3 = self.ChanM3Kin.copy() - # Total channel storage [m3], equal to ChanM3Kin fir kinematic routing only at t+dt - else: - # split routing - self.ChanM3 = self.ChanM3Kin + self.Chan2M3Kin - self.Chan2M3Start - # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull (Chan2M3Kin - Chan2M3Start) - # at t+dt + # # cmcheck moved to routing.py + # # Calculate total water storage in river channel + # if option['InitLisflood'] or (not(option['SplitRouting'])): + # # kinematic routing + # self.ChanM3 = self.ChanM3Kin.copy() + # # Total channel storage [m3], equal to ChanM3Kin fir kinematic routing only at t+dt + # else: + # # split routing + # self.ChanM3 = self.ChanM3Kin + self.Chan2M3Kin - self.Chan2M3Start + # # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull (Chan2M3Kin - Chan2M3Start) + # # at t+dt - # Total channel storage [cu m], equal to ChanM3Kin - # sum of both lines - # CrossSection2Area = pcraster.max(scalar(0.0), (self.Chan2M3Kin - self.Chan2M3Start) / self.ChanLength) self.TotalCrossSectionArea = self.ChanM3 * self.InvChanLength # Total river channel cross-section area at t+dt @@ -205,7 +203,8 @@ def splitlanduse(array1, array2=None, array3=None): # Calculate total river outflow at t+dt as average of routing sub-steps (average) self.sumDis += self.sumDisDay self.ChanQAvg = self.sumDisDay/self.NoRoutSteps - # Average outflow on the model computation step + # Average channel outflow on the model computation step (average of instantaneous outflows at the end of routing sub-steps) + # Same as ChanQ if using only one routing sub-step # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @@ -218,11 +217,13 @@ def splitlanduse(array1, array2=None, array3=None): if option['InitLisflood'] or option['repAverageDis']: self.CumQ += self.ChanQ + #cmcheck we should use ChanQAvg here not ChanQ self.avgdis = self.CumQ/self.TimeSinceStart - # to calculate average discharge + # to calculate average discharge over the entire simulation self.DischargeM3Out += np.where(self.AtLastPointC ,self.ChanQ * self.DtSec,0) - # Cumulative outflow out of map + # Cumulative outflow out of map + # cmcheck we should use ChanQAvg here not ChanQ # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # Calculate water level diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8129c7a4..814f8b1c 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -267,7 +267,7 @@ def initial(self): # in_zero = maskinfo.in_zero() CrossSection2AreaInitValue = loadmap('CrossSection2AreaInitValue') self.var.CrossSection2Area = np.where(CrossSection2AreaInitValue == -9999, maskinfo.in_zero(), CrossSection2AreaInitValue) - # cross-sectional area [m2] for 2nd line of routing: if initial value in binding equals -9999 the value is set to 0 + # cross-sectional area [m2] for 2nd line of routing (over bankfull only): if initial value in binding equals -9999 the value is set to 0 # otherwise CrossSection2AreaInitValue (typically end map from previous simulation) PrevSideflowInitValue = loadmap('PrevSideflowInitValue') @@ -680,6 +680,17 @@ def dynamic(self, NoRoutingExecuted): # SPLIT ROUTING - no InitLisfllod if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): self.SplitRouting(SideflowChan) + + # --- Combine the two lines of routing together --- + #cmcheck moved here from dynamic + self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + # (real) total outflow (at x + dx) at time t + dt (instant) + # Superposition Kinematic + # Main channel routing and floodplains routing + self.var.ChanM3 = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start + # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull (Chan2M3Kin - Chan2M3Start) + # at t+dt (instant) + self.var.sumDisDay += self.var.ChanQ # sum of total river outflow on model sub-step @@ -986,11 +997,11 @@ def SplitRouting(self, SideflowChan): FldpQKin = self.var.Chan2QKin - self.var.QLimit # Outflow at t+dt from floodplains only (above bankfull) - # --- Combine the two lines of routing --- - self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - # (real) total outflow (at x + dx) at time t + dt (instant) - # Superposition Kinematic - # Main channel routing and floodplains routing + # # --- Combine the two lines of routing --- + # self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + # # (real) total outflow (at x + dx) at time t + dt (instant) + # # Superposition Kinematic + # # Main channel routing and floodplains routing # ----------End splitrouting------------------------------------------------- return From 93245bc153bbc29457f74f6c95dd83d6e3d27fa6 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 16 Feb 2024 13:13:03 +0000 Subject: [PATCH 031/134] checking riverbed slope for MCT cells --- src/lisflood/hydrological_modules/routing.py | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 814f8b1c..7802239c 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -229,6 +229,16 @@ def initial(self): self.var.ChanGrad = np.maximum(loadmap('ChanGrad'), loadmap('ChanGradMin')) # avoid calculation of Alpha using ChanGrad=0: this creates MV! + + # cmcheck + if option['MCTRouting']: + # set channel slope for MCT pixels to max 0.001 + # Check where IsChannelMCT is True and values in ChanGrad > 0.001 + MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) + # Update values in ChanGrad where the condition is met + self.var.ChanGrad[MCT_slope_mask] = 0.001 + + self.var.CalChanMan = loadmap('CalChanMan') self.var.ChanMan = self.var.CalChanMan * loadmap('ChanMan') # Manning's n is multiplied by ChanManCal From 9b2ed0e6b3417eb673a64ecfe8c89aec5b758592 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 16 Feb 2024 17:40:08 +0000 Subject: [PATCH 032/134] cleaning up LddChan --- src/lisflood/hydrological_modules/lakes.py | 3 +++ .../hydrological_modules/reservoir.py | 3 +++ src/lisflood/hydrological_modules/routing.py | 23 ++++++++----------- 3 files changed, 16 insertions(+), 13 deletions(-) diff --git a/src/lisflood/hydrological_modules/lakes.py b/src/lisflood/hydrological_modules/lakes.py index fc4a4b7a..3ade7920 100755 --- a/src/lisflood/hydrological_modules/lakes.py +++ b/src/lisflood/hydrological_modules/lakes.py @@ -80,6 +80,9 @@ def initial(self): self.var.IsStructureKinematic = np.where(LakeSitesC > 0, np.bool8(1), self.var.IsStructureKinematic) # Add lake locations to structures map (used to modify LddKinematic # and to calculate LddStructuresKinematic) + self.var.IsStructureChan = np.where(LakeSitesC > 0, np.bool8(1), self.var.IsStructureChan) + # Add lake locations to structures map (used to modify LddChan + # and to calculate LddStructuresChan) # PCRaster part # ----------------------- diff --git a/src/lisflood/hydrological_modules/reservoir.py b/src/lisflood/hydrological_modules/reservoir.py index 1144a4b2..bece9c9d 100755 --- a/src/lisflood/hydrological_modules/reservoir.py +++ b/src/lisflood/hydrological_modules/reservoir.py @@ -84,6 +84,9 @@ def initial(self): self.var.IsStructureKinematic = np.where(self.var.ReservoirSitesC > 0, np.bool8(1), self.var.IsStructureKinematic) # Add reservoir locations to structures map (used to modify LddKinematic # and to calculate LddStructuresKinematic) + self.var.IsStructureChan = np.where(self.var.ReservoirSitesC > 0, np.bool8(1), self.var.IsStructureChan) + # Add reservoir locations to structures map (used to modify LddChan + # and to calculate LddStructuresChan) ReservoirSitePcr = loadmap('ReservoirSites', pcr=True) self.var.ReservoirSites = ReservoirSitePcr diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 7802239c..96d8aed3 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -124,17 +124,17 @@ def initial(self): # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake # routines (if those are used) - - LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) #pcr - LddChanNp=compressArray(LddChan) #np + self.var.LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) #pcr + self.var.LddChanNp=compressArray(self.var.LddChan) #np # ldd for Channel network + self.var.MaskMap = boolean(self.var.Ldd) #pcr self.var.MaskMapNp=compressArray(self.var.MaskMap) #np # Use boolean version of Ldd as calculation mask # (important for correct mass balance check any water generated outside of Ldd won't reach channel anyway) self.var.LddToChan = lddrepair(ifthenelse(self.var.IsChannelPcr, 5, self.var.Ldd)) #pcr self.var.LddToChanNp=compressArray(self.var.LddToChan) #np - # Routing of runoff (incl. groundwater) + # Routing of runoff (incl. groundwater) to the river channel AtOutflow = boolean(pit(self.var.Ldd)) #pcr AtOutflowNp=compressArray(AtOutflow) #np # find outlet points... @@ -166,6 +166,7 @@ def initial(self): self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool # Identify channel pixels where Muskingum-Cunge-Todini is used + self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) # mask with cells using MCT @@ -173,36 +174,32 @@ def initial(self): self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np # Identify channel pixels where Kinematic wave is used - self.var.LddMCT = lddmask(self.var.Ldd, self.var.IsChannelMCTPcr) #pcr + self.var.LddMCT = lddmask(self.var.LddChan, self.var.IsChannelMCTPcr) #pcr self.var.LddMCTNp = compressArray(self.var.LddMCT) #np # Ldd for MCT routing - self.var.LddKinematic = lddmask(self.var.Ldd, self.var.IsChannelKinematicPcr) #pcr + self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr # Ldd for kinematic routing else: - self.var.LddKinematic = LddChan + self.var.LddKinematic = self.var.LddChan # No dynamic/MCT routing, so kinematic ldd equals channel ldd self.var.LddKinematicNp = compressArray(self.var.LddKinematic) #np - self.var.LddChan = LddChan #pcr - self.var.LddChanNp = compressArray(self.var.LddChan) #np - self.var.AtLastPoint = AtOutflow #AtOutflowNp=compressArray(AtOutflow) #np self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) # assign unique identifier to each of the outlet points maskinfo = MaskInfo.instance() - #lddC = compressArray(self.var.LddKinematic) #np - lddC = compressArray(LddChan) #np + lddC = compressArray(self.var.LddChan) #np inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) #pcr inArNp=compressArray(inAr) #np # giving a number to each non missing pixel as id #self.var.downstruct = (compressArray(downstream(self.var.LddKinematic, inAr))).astype("int32") #np - self.var.downstruct = (compressArray(downstream(LddChan, inAr))).astype("int32") #np + self.var.downstruct = (compressArray(downstream(self.var.LddChan, inAr))).astype("int32") #np # each upstream pixel gets the id of the downstream pixel self.var.downstruct[lddC == 5] = maskinfo.info.mapC[0] #np # all pits get a high number than any of the cells From 820d2545dcc37a94536dbbe6e3e023a53809e9c6 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 16 Feb 2024 18:55:26 +0000 Subject: [PATCH 033/134] added reservoirs and lakes to MCT routing --- src/lisflood/hydrological_modules/lakes.py | 3 +- src/lisflood/hydrological_modules/routing.py | 72 +++++++++++++------- 2 files changed, 48 insertions(+), 27 deletions(-) diff --git a/src/lisflood/hydrological_modules/lakes.py b/src/lisflood/hydrological_modules/lakes.py index 3ade7920..1b3fe103 100755 --- a/src/lisflood/hydrological_modules/lakes.py +++ b/src/lisflood/hydrological_modules/lakes.py @@ -90,7 +90,8 @@ def initial(self): LakeSitePcr = pcraster.ifthen((pcraster.defined(LakeSitePcr) & pcraster.boolean(decompress(self.var.IsChannel))), LakeSitePcr) IsStructureLake = pcraster.boolean(LakeSitePcr) # additional structure map only for lakes to calculate water balance - self.var.IsUpsOfStructureLake = pcraster.downstream(self.var.LddKinematic, pcraster.cover(IsStructureLake, 0)) + # self.var.IsUpsOfStructureLake = pcraster.downstream(self.var.LddKinematic, pcraster.cover(IsStructureLake, 0)) + self.var.IsUpsOfStructureLake = pcraster.downstream(self.var.LddChan, pcraster.cover(IsStructureLake, 0)) # Get all pixels just upstream of lakes # ----------------------- diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 96d8aed3..87b2b222 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -161,25 +161,25 @@ def initial(self): # are included, for which the mass balance cannot be calculated # properly) - elif option['MCTRouting']: - #print('MCTRouting setting LDD') - self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr - self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool - # Identify channel pixels where Muskingum-Cunge-Todini is used - - self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) - # mask with cells using MCT - - self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr - self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np - # Identify channel pixels where Kinematic wave is used - - self.var.LddMCT = lddmask(self.var.LddChan, self.var.IsChannelMCTPcr) #pcr - self.var.LddMCTNp = compressArray(self.var.LddMCT) #np - # Ldd for MCT routing - - self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr - # Ldd for kinematic routing + # elif option['MCTRouting']: + # #print('MCTRouting setting LDD') + # self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr + # self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool + # # Identify channel pixels where Muskingum-Cunge-Todini is used + # + # self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) + # # mask with cells using MCT + # + # self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr + # self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np + # # Identify channel pixels where Kinematic wave is used + # + # self.var.LddMCT = lddmask(self.var.LddChan, self.var.IsChannelMCTPcr) #pcr + # self.var.LddMCTNp = compressArray(self.var.LddMCT) #np + # # Ldd for MCT routing + # + # self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr + # # Ldd for kinematic routing else: self.var.LddKinematic = self.var.LddChan @@ -227,13 +227,13 @@ def initial(self): self.var.ChanGrad = np.maximum(loadmap('ChanGrad'), loadmap('ChanGradMin')) # avoid calculation of Alpha using ChanGrad=0: this creates MV! - # cmcheck - if option['MCTRouting']: - # set channel slope for MCT pixels to max 0.001 - # Check where IsChannelMCT is True and values in ChanGrad > 0.001 - MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) - # Update values in ChanGrad where the condition is met - self.var.ChanGrad[MCT_slope_mask] = 0.001 + # # cmcheck + # if option['MCTRouting']: + # # set channel slope for MCT pixels to max 0.001 + # # Check where IsChannelMCT is True and values in ChanGrad > 0.001 + # MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) + # # Update values in ChanGrad where the condition is met + # self.var.ChanGrad[MCT_slope_mask] = 0.001 self.var.CalChanMan = loadmap('CalChanMan') @@ -529,6 +529,26 @@ def initialMCT(self): # ***** INITIALISATION FOR MCT ************ # ************************************************************ if option['MCTRouting']: + + #print('MCTRouting setting LDD') + self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr + self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool + # Identify channel pixels where Muskingum-Cunge-Todini is used + + self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) + # mask with cells using MCT + + self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr + self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np + # Identify channel pixels where Kinematic wave is used + + self.var.LddMCT = lddmask(self.var.LddChan, self.var.IsChannelMCTPcr) #pcr + self.var.LddMCTNp = compressArray(self.var.LddMCT) #np + # Ldd for MCT routing + + self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr + # Ldd for kinematic routing + maskinfo = MaskInfo.instance() # initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT From fd3c7460ec06aaa46c1ef43585ad615314a97bd1 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Mon, 19 Feb 2024 18:32:15 +0000 Subject: [PATCH 034/134] Cleaned up routing code (initial) --- src/lisflood/hydrological_modules/routing.py | 293 +++++++++---------- 1 file changed, 138 insertions(+), 155 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 87b2b222..8a5f53d7 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -63,27 +63,23 @@ def __init__(self, routing_variable): def initial(self): """ initial part of the routing module """ + settings = LisSettings.instance() + option = settings.options maskinfo = MaskInfo.instance() - self.var.avgdis = maskinfo.in_zero() - #cmcheck -> this is a fixed exponent 3/5 from Manning's equation! No need to read it from a map. - self.var.Beta = loadmap('beta') - self.var.InvBeta = 1 / self.var.Beta - # Inverse of beta for kinematic wave - self.var.ChanLength = loadmap('ChanLength').astype(float) - self.var.InvChanLength = 1 / self.var.ChanLength - # Inverse of channel length [1/m] + + # ************************************************************ + # ***** ROUTING COMPUTATION STEPS ********************* + # ************************************************************ self.var.NoRoutSteps = int(np.maximum(1, round(self.var.DtSec / self.var.DtSecChannel,0))) - # Number of sub-steps based on value of DtSecChannel, + # Number of routing sub-steps based on value of DtSecChannel, # or 1 if DtSec is smaller than DtSecChannel - settings = LisSettings.instance() - option = settings.options if option['InitLisflood']: self.var.NoRoutSteps = 1 # InitLisflood is used! # so channel routing step is the same as the general time step self.var.DtRouting = self.var.DtSec / self.var.NoRoutSteps - # Corresponding sub-timestep (seconds) + # Corresponding routing sub-timestep (seconds) self.var.InvDtRouting = 1 / self.var.DtRouting self.var.InvNoRoutSteps = 1 / float(self.var.NoRoutSteps) # inverse for faster calculation inside the dynamic section @@ -96,9 +92,14 @@ def initial(self): # Cut ldd to size of MaskMap (NEW, 29/9/2004) # Prevents 'unsound' ldd if MaskMap covers sub-area of ldd + self.var.MaskMap = boolean(self.var.Ldd) #pcr + self.var.MaskMapNp=compressArray(self.var.MaskMap) #np + # Use boolean version of Ldd as calculation mask + # (important for correct mass balance check any water generated outside of Ldd won't reach channel anyway) + self.var.UpArea = accuflux(self.var.Ldd, self.var.PixelAreaPcr) #pcr # Upstream contributing area for each pixel - # Note that you might expext that values of UpArea would be identical to + # Note that you might expect that values of UpArea would be identical to # those of variable CatchArea (see below) at the outflow points. # This is NOT actually the case, because outflow points are shifted 1 # cell in upstream direction in the calculation of CatchArea! @@ -110,7 +111,7 @@ def initial(self): self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool - # Identify channel pixels + # Identify grid cells containing a river channel self.var.IsStructureChan = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the # channel routing. Set to (dummy) value of zero modified in reservoir and lake @@ -118,7 +119,7 @@ def initial(self): self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool # Identify kinematic wave channel pixels - # (identical to IsChannel, unless dynamic/MCT wave is used, see below) + # (identical to IsChannel, unless MCT wave is used, see below) self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake @@ -126,92 +127,68 @@ def initial(self): self.var.LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) #pcr self.var.LddChanNp=compressArray(self.var.LddChan) #np - # ldd for Channel network + # LDD for channel network (excluding grid cells that do not have a channel) + # It is the same as Ldd if there is a channel on every grid cell - self.var.MaskMap = boolean(self.var.Ldd) #pcr - self.var.MaskMapNp=compressArray(self.var.MaskMap) #np - # Use boolean version of Ldd as calculation mask - # (important for correct mass balance check any water generated outside of Ldd won't reach channel anyway) self.var.LddToChan = lddrepair(ifthenelse(self.var.IsChannelPcr, 5, self.var.Ldd)) #pcr self.var.LddToChanNp=compressArray(self.var.LddToChan) #np # Routing of runoff (incl. groundwater) to the river channel - AtOutflow = boolean(pit(self.var.Ldd)) #pcr - AtOutflowNp=compressArray(AtOutflow) #np - # find outlet points... if option['dynamicWave']: - IsChannelDynamic = boolean(loadmap('ChannelsDynamic', pcr=True)) - # Identify channel pixels where dynamic wave is used - self.var.IsChannelKinematic = (self.var.IsChannelPcr == 1) & (IsChannelDynamic == 0) - # Identify (update) channel pixels where kinematic wave is used - self.var.LddKinematic = lddmask(self.var.Ldd, self.var.IsChannelKinematic) - # Ldd for kinematic wave: ends (pit) just before dynamic stretch - - # Following statements produce an ldd network that connects the pits in - # LddKinematic to the nearest downstream dynamic wave pixel - - self.var.AtLastPoint = (downstream(self.var.Ldd, AtOutflow) == 1) & (AtOutflow != 1) & self.var.IsChannelPcr - - # NEW 23-6-2005 - # Dynamic wave routine gives no outflow out of pits, so we calculate this - # one cell upstream (WvD) - # (implies that most downstream cell is not taken into account in mass balance - # calculations, even if dyn wave is not used) - # Only include points that are on a channel (otherwise some small 'micro-catchments' - # are included, for which the mass balance cannot be calculated - # properly) - - # elif option['MCTRouting']: - # #print('MCTRouting setting LDD') - # self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr - # self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool - # # Identify channel pixels where Muskingum-Cunge-Todini is used - # - # self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) - # # mask with cells using MCT - # - # self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr - # self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np - # # Identify channel pixels where Kinematic wave is used - # - # self.var.LddMCT = lddmask(self.var.LddChan, self.var.IsChannelMCTPcr) #pcr - # self.var.LddMCTNp = compressArray(self.var.LddMCT) #np - # # Ldd for MCT routing - # - # self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr - # # Ldd for kinematic routing - + pass + # # legacy code + # AtOutflow = boolean(pit(self.var.Ldd)) # pcr + # AtOutflowNp = compressArray(AtOutflow) # np + # # find outlet points... + # # Function 'pit' assignes a unique number starting from 1 to pit cells (ldd=5) in the Ldd + # + # IsChannelDynamic = boolean(loadmap('ChannelsDynamic', pcr=True)) + # # Identify channel pixels where dynamic wave is used + # self.var.IsChannelKinematic = (self.var.IsChannelPcr == 1) & (IsChannelDynamic == 0) + # # Identify (update) channel pixels where kinematic wave is used + # self.var.LddKinematic = lddmask(self.var.Ldd, self.var.IsChannelKinematic) + # # Ldd for kinematic wave: ends (pit) just before dynamic stretch + # + # # Following statements produce an ldd network that connects the pits in + # # LddKinematic to the nearest downstream dynamic wave pixel + # + # self.var.AtLastPoint = (downstream(self.var.Ldd, AtOutflow) == 1) & (AtOutflow != 1) & self.var.IsChannelPcr + # + # # NEW 23-6-2005 + # # Dynamic wave routine gives no outflow out of pits, so we calculate this + # # one cell upstream (WvD) + # # (implies that most downstream cell is not taken into account in mass balance + # # calculations, even if dyn wave is not used) + # # Only include points that are on a channel (otherwise some small 'micro-catchments' + # # are included, for which the mass balance cannot be calculated + # # properly) else: + # For all routing options (kinematic, split and MCT) self.var.LddKinematic = self.var.LddChan - # No dynamic/MCT routing, so kinematic ldd equals channel ldd - - self.var.LddKinematicNp = compressArray(self.var.LddKinematic) #np + self.var.LddKinematicNp = compressArray(self.var.LddKinematic) # np - self.var.AtLastPoint = AtOutflow - #AtOutflowNp=compressArray(AtOutflow) #np - self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) - # assign unique identifier to each of the outlet points + self.var.AtLastPoint = boolean(pit(self.var.Ldd)) #pcr + # assign True to each of the grid cells where there are outlet points + # Function 'pit' assignes a unique number starting from 1 to pit cells (ldd=5) in the Ldd + self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) #np - maskinfo = MaskInfo.instance() lddC = compressArray(self.var.LddChan) #np inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) #pcr - inArNp=compressArray(inAr) #np - # giving a number to each non missing pixel as id + # giving a number to each non-missing pixel as cell id, starting from 0 - #self.var.downstruct = (compressArray(downstream(self.var.LddKinematic, inAr))).astype("int32") #np self.var.downstruct = (compressArray(downstream(self.var.LddChan, inAr))).astype("int32") #np # each upstream pixel gets the id of the downstream pixel self.var.downstruct[lddC == 5] = maskinfo.info.mapC[0] #np - # all pits get a high number than any of the cells - # upstream function in numpy + # assigning to all pits an id number higher than any of the other cells OutflowPoints = nominal(uniqueid(self.var.AtLastPoint)) #pcr OutflowPointsNp = compressArray(OutflowPoints) #np - # and assign unique identifier to each of them # assigning id to the outflow points starting from 1 + self.var.Catchments = (compressArray(catchment(self.var.Ldd, OutflowPoints))).astype(np.int32) #np # assign outlet id to all pixel in its catchment # define catchment for each outflow point + CatchArea = np.bincount(self.var.Catchments, weights=self.var.PixelArea)[self.var.Catchments] #np # Compute area of each catchment [m2] # Note: in earlier versions this was calculated using the "areaarea" function, @@ -225,45 +202,39 @@ def initial(self): # ************************************************************ self.var.ChanGrad = np.maximum(loadmap('ChanGrad'), loadmap('ChanGradMin')) - # avoid calculation of Alpha using ChanGrad=0: this creates MV! - - # # cmcheck - # if option['MCTRouting']: - # # set channel slope for MCT pixels to max 0.001 - # # Check where IsChannelMCT is True and values in ChanGrad > 0.001 - # MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) - # # Update values in ChanGrad where the condition is met - # self.var.ChanGrad[MCT_slope_mask] = 0.001 - + # River bed slope + # Avoid calculation of Alpha using ChanGrad=0: this creates MV! self.var.CalChanMan = loadmap('CalChanMan') self.var.ChanMan = self.var.CalChanMan * loadmap('ChanMan') - # Manning's n is multiplied by ChanManCal - # enables calibration for peak timing + # Manning's rougthness coefficient n is multiplied by ChanManCal for calibration + self.var.ChanBottomWidth = loadmap('ChanBottomWidth') + # Riverbed width [m] ChanDepthThreshold = loadmap('ChanDepthThreshold') - ChanSdXdY = loadmap('ChanSdXdY') + # Bankfull river depth [m] self.var.ChanSdXdY = loadmap('ChanSdXdY') + # Riverbed sides slope #######################cm - # self.var.ChanSdXdY = self.var.ChanSdXdY * 0 # sezione rettangolare - # self.var.ChanBottomWidth = self.var.ChanBottomWidth * 0 # sezione tringolare + # self.var.ChanSdXdY = maskinfo.in_zero() # rectangular cross-section + # self.var.ChanBottomWidth = maskinfo.in_zero() # triangular cross-section #######################cm - self.var.ChanUpperWidth = self.var.ChanBottomWidth + 2 * ChanSdXdY * ChanDepthThreshold + self.var.ChanUpperWidth = self.var.ChanBottomWidth + 2 * self.var.ChanSdXdY * ChanDepthThreshold # Channel upper width [m] self.var.TotalCrossSectionAreaBankFull = 0.5 * \ ChanDepthThreshold * (self.var.ChanUpperWidth + self.var.ChanBottomWidth) # Area (sq m) of bank full discharge cross section [m2] # (trapezoid area equation) - #cmcheck -> half area is wrong Area at half bankfull is NOT half of the area at bankfull - # ChanUpperWidthHalfBankFull = self.var.ChanBottomWidth + 2 * ChanSdXdY * 0.5 * ChanDepthThreshold + #cmcheck + # ChanUpperWidthHalfBankFull = self.var.ChanBottomWidth + 2 * self.var.ChanSdXdY * 0.5 * ChanDepthThreshold # TotalCrossSectionAreaHalfBankFull = 0.5 * \ # 0.5 * ChanDepthThreshold * (ChanUpperWidthHalfBankFull + self.var.ChanBottomWidth) - TotalCrossSectionAreaHalfBankFull = 0.5 * self.var.TotalCrossSectionAreaBankFull # Cross-sectional area at half bankfull [m2] # This can be used to initialise channel flow (see below) + TotalCrossSectionAreaHalfBankFull = 0.5 * self.var.TotalCrossSectionAreaBankFull TotalCrossSectionAreaInitValue = loadmap('TotalCrossSectionAreaInitValue') self.var.TotalCrossSectionArea = np.where(TotalCrossSectionAreaInitValue == -9999, TotalCrossSectionAreaHalfBankFull, TotalCrossSectionAreaInitValue) @@ -271,7 +242,6 @@ def initial(self): # otherwise TotalCrossSectionAreaInitValue (typically end map from previous simulation) if option['SplitRouting']: - # in_zero = maskinfo.in_zero() CrossSection2AreaInitValue = loadmap('CrossSection2AreaInitValue') self.var.CrossSection2Area = np.where(CrossSection2AreaInitValue == -9999, maskinfo.in_zero(), CrossSection2AreaInitValue) # cross-sectional area [m2] for 2nd line of routing (over bankfull only): if initial value in binding equals -9999 the value is set to 0 @@ -285,18 +255,30 @@ def initial(self): # ************************************************************ # ***** CHANNEL ALPHA (KIN. WAVE)***************************** # ************************************************************ - # Following calculations are needed to calculate Alpha parameter in kinematic - # wave. Alpha currently fixed at half of bankfull depth (this may change in - # future versions!) + # Manning's steady state flow equations # from Ven The Chow - Applied Hydrology - page 283 # https: // wecivilengineers.files.wordpress.com / 2017 / 10 / applied - hydrology - ven - te - chow.pdf # A = Alpha * Q ** Beta # Q = (A/Alpha) ** (1/Beta) = (invAlpha * A)**invBeta + + self.var.Beta = loadmap('beta') + # This is 3/5. Exponent of Manning's equation A=alpha*Q^beta -> Q= 1/alpha * A^(1/beta) + self.var.InvBeta = 1 / self.var.Beta + # Inverse of beta for kinematic wave + self.var.ChanLength = loadmap('ChanLength').astype(float) + # Channel length [m] + self.var.InvChanLength = 1 / self.var.ChanLength + # Inverse of channel length [1/m] + + # Following calculations are needed to calculate Alpha parameter in kinematic + # wave. Alpha currently fixed at half of bankfull depth (this may change in + # future versions!) + ChanWaterDepthAlpha = np.where(self.var.IsChannel, 0.5 * ChanDepthThreshold, 0.0) # Reference water depth for calculation of Alpha: half of bankfull self.var.ChanWettedPerimeterAlpha = self.var.ChanBottomWidth + 2 * \ - np.sqrt(np.square(ChanWaterDepthAlpha) + np.square(ChanWaterDepthAlpha * ChanSdXdY)) + np.sqrt(np.square(ChanWaterDepthAlpha) + np.square(ChanWaterDepthAlpha * self.var.ChanSdXdY)) # Channel wetted perimeter half bankfull [m](Pythagoras) AlpTermChan = (self.var.ChanMan / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta @@ -311,7 +293,7 @@ def initial(self): # ************************************************************ self.var.ChanM3 = self.var.TotalCrossSectionArea * self.var.ChanLength #np - # totalk river channel water volume [m3] + # Total water volume in river channel [m3] self.var.ChanIniM3 = self.var.ChanM3.copy() #np self.var.ChanM3Kin = self.var.ChanIniM3.copy().astype(float) #np # Initialise water volume in kinematic wave channels [m3] @@ -321,15 +303,14 @@ def initial(self): # simply 1/beta, computational efficiency!) self.var.CumQ = maskinfo.in_zero() - # ininialise sum of discharge to calculate average + # Initialise sum of discharge to calculate average # ************************************************************ # ***** CHANNEL INITIAL DYNAMIC WAVE ************************* # ************************************************************ if option['dynamicWave']: pass - # TODO !!!!!!!!!!!!!!!!!!!! - + # legacy code # lookchan = lookupstate(TabCrossSections, ChanCrossSections, ChanBottomLevel, self.var.ChanLength, # DynWaveConstantHeadBoundary + ChanBottomLevel) # ChanIniM3 = ifthenelse(AtOutflow, lookchan, ChanIniM3) @@ -389,27 +370,26 @@ def initial(self): # IsChannelDynamic, ChanQDyn, self.var.ChanQKin) # Channel discharge: combine results of kinematic and dynamic wave else: - - # ***** NO DYNAMIC WAVE ************************* - # Dummy code if dynamic wave is not used, in which case ChanQ equals ChanQKin - # (needed only for polder routine) - + # For all routing options (kinematic, split and MCT) PrevDischarge = loadmap('PrevDischarge') - # outflow discharge at the end of previous step (instant) + # Outflow discharge at the end of previous step (instant) self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np - # initialise channel discharge: cold start: equal to ChanQKin - # [m3/s] - # outflow at the end of previous time step (instant) - + # Initialise channel discharge: cold start: equal to ChanQKin [m3/s] + # ************************************************************ + # ***** CUMULATIVE OUTPUT VARIABLES ************************* + # ************************************************************ # Initialising cumulative output variables + self.var.avgdis = maskinfo.in_zero() + # These are all needed to compute the cumulative mass balance error self.var.DischargeM3Out = maskinfo.in_zero() - # cumulative discharge volume at outlet [m3] + # Cumulative discharge volume at outlet [m3] self.var.TotalQInM3 = maskinfo.in_zero() - # cumulative inflow volume from inflow hydrographs [m3] + # Cumulative inflow volume from inflow hydrographs [m3] self.var.sumDis = maskinfo.in_zero() - self.var.sumIn = maskinfo.in_zero() #non so se sostituita da self.var.sumInWB + self.var.sumIn = maskinfo.in_zero() + # cmcheck non so se sostituita da self.var.sumInWB self.var.sumInWB = maskinfo.in_zero() @@ -420,13 +400,16 @@ def initialSecond(self): option = settings.options binding = settings.binding - self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the main channel + self.var.ChannelAlpha2 = None + # Default value, if split-routing is not active and water is routed only in the main channel + # ************************************************************ # ***** CHANNEL INITIAL SPLIT UP IN SECOND CHANNEL************ # ************************************************************ if option['SplitRouting']: ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') + # Manning's rougthness coefficient n for second line of routing AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) #cmcheck -> using channel wetted perimeter of half bankfull ChanWettedPerimeterAlpha ? @@ -434,38 +417,29 @@ def initialSecond(self): # calculating second Alpha for second (virtual) channel if not(option['InitLisflood']): - - # use loadmap_base function as we don't want to cache avgdis it in the calibration - self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') - + # ************************************************************ + # ***** INITIALISE SECOND LINE OF ROUTING ******************** + # ************************************************************ # Over bankful discharge starts at QLimit # lower discharge limit for second line of routing # set to mutiple of average discharge (map from prerun) # QSplitMult =2 is around 90 to 95% of Q + self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') + # Using loadmap_base function as we don't want to cache avgdis it in the calibration self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) # Water volume in bankful when over bankful discharge starts # Manning's equation - # QLimit should NOT be dependent on the NoRoutSteps (number of routing steps) - # self.var.QLimit = self.var.QLimit / self.var.NoRoutSteps #original - - ############################################### - # CM mod - # TEMPORARY WORKAROUND FOR EFAS XDOM!!!!!!!!!! - # This must be removed - # self.var.QLimit = self.var.QLimit / 24.0 - ############################################### - self.var.Chan2M3Start = self.var.ChannelAlpha2 * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) - # virtual (note we use ChannelAlpha2 now) amount of water in the main channel at the activation of second line of routing 'floodplains' (=> start using increased Manning coeff) + # virtual (note we use ChannelAlpha2 now) amount of water in the main channel at the activation of second line of routing 'floodplains' (=> start using increased Manning coeff 2) self.var.Chan2QStart = self.var.QLimit - compressArray(upstream(self.var.LddKinematic, decompress(self.var.QLimit))) - # virtual outflow from main channel at the activation of second line of routing (=> start using increased Manning coeff) - # because kinematic routing with a low amount of discharge leads to long travel time: + # Virtual outflow from main channel at the activation of second line of routing (=> start using increased Manning coeff 2) + # Because kinematic routing with a low amount of discharge leads to long travel time: # Starting Q for second line is set to a higher value self.var.Chan2M3Kin = self.var.CrossSection2Area * self.var.ChanLength + self.var.Chan2M3Start - # Total (virtual) volume of water in river channel when second routing line is active (= using increased Manning coeff) + # Total (virtual) volume of water in river channel when second routing line is active (= using increased Manning coeff 2) self.var.ChanM3Kin = self.var.ChanM3 - self.var.Chan2M3Kin + self.var.Chan2M3Start # (Real) Volume of water in main channel when second line of routing is active (= using riverbed Manning coeff) @@ -473,11 +447,15 @@ def initialSecond(self): # this line prevents the warm start from failing in case of small numerical imprecisions when writing and reading the maps self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) - # Total (virtual) outflow from river channel when second routing line is active (= using increased Manning coeff) + # Total (virtual) outflow from river channel when second routing line is active (= using increased Manning coeff 2) self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) - # (Real) outflow from main channel when second line of routing is active (= using riverbed Manning coeff) + # (Real) outflow from main channel when second line of routing is active (= using riverbed Manning coeff 2) + # ************************************************************ + # ***** INITIALISE PARALLEL KINEMATIC WAVE ROUTER ************ + # ************************************************************ + # Initialise parallel kinematic wave router: main channel-only routing if self.var.ChannelAlpha2 is None; else split-routing(main channel + floodplains) # Initialization includes LDD for kinematic routing maskinfo = MaskInfo.instance() @@ -485,7 +463,10 @@ def initialSecond(self): self.var.Beta, self.var.ChanLength, self.var.DtRouting, int(binding["numCPUs_parallelKinematicWave"]), alpha_floodplains=self.var.ChannelAlpha2) - # WATER BALANCE + + # ************************************************************ + # ***** WATER BALANCE ************ + # ************************************************************ if option['InitLisflood'] and option['repMBTs']: # Calculate initial water storage in rivers (no lakes no reservoirs) self.var.StorageStepINIT= self.var.ChanM3Kin @@ -518,29 +499,30 @@ def initialSecond(self): self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) def initialMCT(self): - """ initial part of the Muskingum-Kunge-Todini routing module + """ initial part of the Muskingum-Cunge-Todini routing module """ settings = LisSettings.instance() option = settings.options binding = settings.binding - self.var.ChannelAlpha2 = None # default value, if split-routing is not active and water is routed only in the riverbed channel + self.var.ChannelAlpha2 = None + # default value, if split-routing is not active and water is routed only in the riverbed channel + # ************************************************************ - # ***** INITIALISATION FOR MCT ************ + # ***** INITIALISATION FOR MCT ROUTING ************ # ************************************************************ if option['MCTRouting']: - #print('MCTRouting setting LDD') self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool # Identify channel pixels where Muskingum-Cunge-Todini is used self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) - # mask with cells using MCT + # Mask with cells using MCT self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np - # Identify channel pixels where Kinematic wave is used + # Identify channel pixels where Kinematic wave is used instead of MCT self.var.LddMCT = lddmask(self.var.LddChan, self.var.IsChannelMCTPcr) #pcr self.var.LddMCTNp = compressArray(self.var.LddMCT) #np @@ -550,7 +532,7 @@ def initialMCT(self): # Ldd for kinematic routing maskinfo = MaskInfo.instance() - # initialisation for MCT routing + # Initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np # MCT inflow (x) to MCT pixel at time t0 @@ -559,21 +541,22 @@ def initialMCT(self): self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np # MCT outflow (x+dx) from MCT pixel at time t0 - PrevCmMCT = loadmap('PrevCmMCTInitValue') # Cm for MCT + PrevCmMCT = loadmap('PrevCmMCTInitValue') self.var.PrevCm0 = np.where(PrevCmMCT == -9999, maskinfo.in_one(), PrevCmMCT) #np - PrevDmMCT = loadmap('PrevDmMCTInitValue') # Dm for MCT + # Courant numnber (Cm) for MCT + PrevDmMCT = loadmap('PrevDmMCTInitValue') self.var.PrevDm0 = np.where(PrevDmMCT == -9999, maskinfo.in_zero(), PrevDmMCT) #np + # Reynolds number (Dm) for MCT self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) - # - - # Initialise mct wave router - # self.mct_river_router = mctWave(compressArray(self.var.LddMCT), ~maskinfo.info.mask) + # Initialise discharge for kinematic and MCT grid cells + # ************************************************************ + # ***** INITIALISE MUSKINGUM-CUNGE-TODINI WAVE ROUTER ******** + # ************************************************************ self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) - # -------------------------------------------------------------------------- # -------------------------------------------------------------------------- From 9255b4fc88cf44cb429447531c31103571489f04 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 20 Feb 2024 17:13:12 +0000 Subject: [PATCH 035/134] Cleaned up routing code (dynamic) --- .../hydrological_modules/evapowater.py | 2 + src/lisflood/hydrological_modules/inflow.py | 3 +- src/lisflood/hydrological_modules/routing.py | 166 +++++++++--------- 3 files changed, 83 insertions(+), 88 deletions(-) diff --git a/src/lisflood/hydrological_modules/evapowater.py b/src/lisflood/hydrological_modules/evapowater.py index 85757549..ae66bf00 100755 --- a/src/lisflood/hydrological_modules/evapowater.py +++ b/src/lisflood/hydrological_modules/evapowater.py @@ -60,6 +60,7 @@ def initial(self): maskinfo = MaskInfo.instance() if option['openwaterevapo']: LakeMask = loadmap('LakeMask', pcr=True) + # cmcheck lmask = ifthenelse(LakeMask != 0, self.var.LddStructuresKinematic, 5) LddEva = lddrepair(lmask) lddC = compressArray(LddEva) @@ -132,6 +133,7 @@ def dynamic(self): UpstreamEva = self.var.EWRef * self.var.MMtoM3 * self.var.WaterFraction # evaporation for loop is amount of water per timestep [cu m] # Volume of potential evaporation from water surface per time step (conversion to [m3]) + # cmcheck ChanMIter = self.var.ChanM3Kin.copy() # for Iteration loop: First value is amount of water in the channel # amount of water in bankful (first line of routing) diff --git a/src/lisflood/hydrological_modules/inflow.py b/src/lisflood/hydrological_modules/inflow.py index 1678339f..457fc68c 100755 --- a/src/lisflood/hydrological_modules/inflow.py +++ b/src/lisflood/hydrological_modules/inflow.py @@ -121,6 +121,7 @@ def dynamic(self): # Get inflow hydrograph at each inflow point [m3/s] QIn = compressArray(QIn) QIn[np.isnan(QIn)] = 0 + #cmcheck self.var.QInM3 = QIn * self.var.DtSec # Convert to [m3] per time step self.var.TotalQInM3 += self.var.QInM3 @@ -140,7 +141,7 @@ def dynamic_inloop(self, NoRoutingExecuted): settings = LisSettings.instance() option = settings.options - if option['inflow']: + if option['inflow']: #cmcheck self.var.QInDt = (self.var.QInM3Old + (NoRoutingExecuted + 1) * self.var.QDelta) * self.var.InvNoRoutSteps # flow from inlets per sub step diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8a5f53d7..8de87b6c 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -289,7 +289,7 @@ def initial(self): # ChannelAlpha for kinematic wave # ************************************************************ - # ***** CHANNEL INITIAL DISCHARGE **************************** + # ***** CHANNEL INITIAL DISCHARGE (KINEMATIC) **************** # ************************************************************ self.var.ChanM3 = self.var.TotalCrossSectionArea * self.var.ChanLength #np @@ -372,7 +372,9 @@ def initial(self): else: # For all routing options (kinematic, split and MCT) PrevDischarge = loadmap('PrevDischarge') - # Outflow discharge at the end of previous step (instant) + # Outflow (x+dx) Q at the end of previous computation step for full section (instant) + # Here it becomes Outflow (x+dx) Q at the beginning of the computation step (t) for full section (instant) + # Used to calculated Inflow (x) from upstream pixels at the beginning of the computation step (t) self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # Initialise channel discharge: cold start: equal to ChanQKin [m3/s] @@ -418,7 +420,7 @@ def initialSecond(self): if not(option['InitLisflood']): # ************************************************************ - # ***** INITIALISE SECOND LINE OF ROUTING ******************** + # ***** INITIALISE SECOND LINE OF ROUTING (KINEMATIC) ******** # ************************************************************ # Over bankful discharge starts at QLimit # lower discharge limit for second line of routing @@ -572,43 +574,51 @@ def dynamic(self, NoRoutingExecuted): self.reservoir_module.dynamic_inloop(NoRoutingExecuted) self.polder_module.dynamic_inloop() - # End only with no Lisflood (no reservoirs, lakes and polder with - # initLisflood) - self.inflow_module.dynamic_inloop(NoRoutingExecuted) self.transmission_module.dynamic_inloop() - # ************************************************************ - # ***** CHANNEL FLOW ROUTING: KINEMATIC WAVE **************** - # ************************************************************ if not(option['dynamicWave']): # ************************************************************ - # ***** SIDEFLOW + # ***** SIDEFLOW **************** # ************************************************************ + # Calculating water contribution to channels SideflowChanM3 = self.var.ToChanM3RunoffDt.copy() + # Runoff contribution from overland flow, upper and lower groundwater zones to the channel during routing sub step [m3] if option['openwaterevapo']: SideflowChanM3 -= self.var.EvaAddM3Dt + # Evaporation from open water (rivers) - withdrawal [m3] if option['wateruse']: self.var.WUseAddM3Dt = (self.var.withdrawal_CH_actual_M3_routStep - self.var.returnflow_GwAbs2Channel_M3_routStep) - SideflowChanM3 -= self.var.WUseAddM3Dt + SideflowChanM3 -= self.var.WUseAddM3Dt + # Water use abstraction from rivers - withdrawal [m3] if option['inflow']: SideflowChanM3 += self.var.QInDt + # Flow volume from inlets per sub step [m3] if option['TransLoss']: SideflowChanM3 -= self.var.TransLossM3Dt + # Transmission flow volume - withdrawal [m3] + if not(option['InitLisflood']): # only with no InitLisflood if option['simulateLakes']: - SideflowChanM3 += self.var.QLakeOutM3Dt + SideflowChanM3 += self.var.QLakeOutM3Dt + # Lakes outflow volume per routing sub step [m3] if option['simulateReservoirs']: - SideflowChanM3 += self.var.QResOutM3Dt + SideflowChanM3 += self.var.QResOutM3Dt + # Reservoirs outflow volume per routing sub step [m3] if option['simulatePolders']: SideflowChanM3 -= self.var.ChannelToPolderM3Dt - - - + # Polders outflow volume per routing sub step [m3] + + # NOTE: polders currently don't work with kinematic wave, but nevertheless + # ChannelToPolderM3 is already included in sideflow term (so it's there in case + # the polder routine is ever modified to make it work with kin. wave) + # Because of wateruse Sideflow might get even smaller than 0, + # instead of inflow its outflow + ### check mass balance within routing ### if option['repMBTs']: if (NoRoutingExecuted<1): @@ -628,49 +638,38 @@ def dynamic(self, NoRoutingExecuted): if option['wateruse']: self.var.AddedTRUN -= np.take(np.bincount(self.var.Catchments, weights=self.var.WUseAddM3Dt.copy()),self.var.Catchments) - # Runoff (surface runoff + flow out of Upper and Lower Zone), outflow from - # reservoirs and lakes and inflow from external hydrographs are added to the channel - # system (here in [cu m]) - # - # NOTE: polders currently don't work with kinematic wave, but nevertheless - # ChannelToPolderM3 is already included in sideflow term (so it's there in case - # the polder routine is ever modified to make it work with kin. wave) - # Because of wateruse Sideflow might get even smaller than 0, - # instead of inflow its outflow - + SideflowChan = np.where(self.var.IsChannelKinematic, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) - # Sideflow expressed in [cu m /s / m channel length] + # Sideflow contribution to kinematic and split routing grid cells expressed in [cu m /s / m channel length] - # Calc sideflow for MCT cells if option['MCTRouting']: SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvDtRouting,0) #Ql + # Sideflow contribution to MCT grid cells expressed in [cu m /s / m channel length] else: SideflowChanMCT = 0 # ************************************************************ - # ***** ROUTING **************** + # ***** RIVER ROUTING **************** # ************************************************************ if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() - # use kinematic routing in all grid cells + # Use kinematic routing in all grid cells - # KINEMATIC ROUTING - InitLisflood + # KINEMATIC ROUTING if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): - #cmcheck no need to copy into another variable, use self.var.ChanQKin + # Using variables ChanQKinOutStart, ChanM3KinEnd and ChanQKinOutEnd for clarity # Kinematic routing ChanQKinOutStart = self.var.ChanQKin.copy() # Outflow (x+dx) at time t beginning of calculation step (instant) # This is used to calculate inflow from upstream cells - ChanM3KinStart = self.var.ChanM3Kin.copy() + # ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) - ######## ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - ######## - # updating variables for next step + # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) self.var.ChanM3Kin = ChanM3KinEnd.copy() @@ -678,7 +677,7 @@ def dynamic(self, NoRoutingExecuted): self.var.ChanQ = ChanQKinOutEnd.copy() # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) - # same as ChanQKinOutEnd for Kinematic routing only + # same as ChanQKinOutEnd=self.var.ChanQKin for Kinematic routing only self.var.ChanM3 = ChanM3KinEnd.copy() # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only @@ -689,16 +688,16 @@ def dynamic(self, NoRoutingExecuted): # SPLIT ROUTING - no InitLisfllod if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): + self.SplitRouting(SideflowChan) - # --- Combine the two lines of routing together --- - #cmcheck moved here from dynamic + # Combine the two lines of routing together + self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) # (real) total outflow (at x + dx) at time t + dt (instant) - # Superposition Kinematic - # Main channel routing and floodplains routing + # Main channel routing and above bankfull routing from second line of routing self.var.ChanM3 = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start - # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull (Chan2M3Kin - Chan2M3Start) + # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second line (Chan2M3Kin - Chan2M3Start) # at t+dt (instant) self.var.sumDisDay += self.var.ChanQ @@ -707,11 +706,11 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): - #################### - # Kinematic routing - # Solving Kinematic routing first + # Kinematic routing is solved first to generate input to MCT grid cells # Kinematic routing is solved on all pixels (including MCT pixels) because we need input from upstream Kin pixels to MCT - # cmcheck this should be changed because it's a waste of computation time + # (this needs to be changed in future versions) + + # Kinematic routing ChanQKinOutStart = self.var.ChanQ.copy() # Outflow (x+dx) Q at time t beginning of calculation step (instant) @@ -724,15 +723,14 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t+dt end of calculation step (instant) - #################### # MCT routing ChanQMCTOutStart = self.var.ChanQ.copy() # Outflow (x+dx) at time t q10 (instant) - ######cm - # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 #cmcheck metto a 1 la portata in arrivo dalle celle Kinematic - ######cm + # debug + # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 + # Set inflow from kinematic pixels to 1 ChanM3Start = self.var.ChanM3.copy() # Channel storage at time t V0 @@ -756,23 +754,17 @@ def dynamic(self, NoRoutingExecuted): self.var.PrevCm0 = Cmend self.var.prevDm0 = Dmend - #################### + # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) # Outflow (x+dx) Q at the end of computation step t+dt (instant) self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) # Channel storage V at the end of computation step t+dt (instant) - # ChanQOutAvg = np.where(self.var.IsChannelKinematic, ChanQKinOutAvg, ChanQMCTOutAvg) - # Average outflow Q over the calculation step (average) - self.var.sumDisDay += self.var.ChanQ # sum of total river outflow on model sub-step - - TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) - - ### # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- #''' @@ -784,7 +776,7 @@ def dynamic(self, NoRoutingExecuted): # StorageStep = self.var.ChanM3Kin.copy() StorageStep = self.var.ChanM3.copy() # Water storage at t+dt end of routing step: rivers channels - # cmcheck using ChanM3 so it's OK for both MCT and KIN + # Using ChanM3 so it's OK for both MCT and KIN ChanQAvgR = self.var.sumDisDay/self.var.NoRoutSteps # average (of instantaneous) outflow (x+dx) at t+dt end of routing step @@ -874,7 +866,8 @@ def dynamic(self, NoRoutingExecuted): self.var.StorageStepINIT= StorageStep1.copy()+DischargeM3StructuresR #''' - + # Legacy + TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) self.var.FlowVelocity = np.minimum(self.var.ChanQKin/TotalCrossSectionArea, 0.36*self.var.ChanQKin**0.24) # Channel velocity (m/s); dividing Q (m3/s) by CrossSectionArea (m2) # avoid extreme velocities by using the Wollheim 2006 equation @@ -940,15 +933,16 @@ def KINRouting(self,ChanQKin,SideflowChan): def SplitRouting(self, SideflowChan): - # ---- Double Routing --------------- - # routing is split in two (virtual) channels: main channel and virtual channel representing floodplains + # River routing is split in two channels: a main channel and a virtual channel representing floodplains (second + # line of routing) + + # --- Split sideflow between the two lines of routing --- - #Split sideflow between the two lines of routing # Ad SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin / (self.var.ChanM3Kin + self.var.Chan2M3Kin), 0.0) + # Split sideflow between the two lines of routing - # CM ################################## # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps # TO BY REPLACED WITH THE FOLLOWING @@ -956,63 +950,59 @@ def SplitRouting(self, SideflowChan): (self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, SideflowRatio * SideflowChan, SideflowChan) # sideflow to the main channel - ####################################### self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) # too small values are avoided Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan # sideflow to the 'floodplains' channel - Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # original - #cmcheck should I use Qlimit instead of Chan2QStart ??? + Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # as kinematic wave gets slower with less water # a constant amount of water has to be added # -> add QLimit discharge - # --- Main channel routing --- + self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") - # sef.var.ChanQKin is outflow from main channel (at x+dx) at time t in input and at time t+dt in output (instant) + # sef.var.ChanQKin is outflow (x+dx) from main channel at time t in input and at time t+dt in output (instant) self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta - # self.var.ChanM3Kin is the Volume in main channel at end of computation step (at t+dt) (instant) + # Volume in main channel at end of computation step (at t+dt) (instant) self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) # Check for negative volumes at the end of computation step in main channel # Volume in main channel at t+dt self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** ( self.var.InvBeta) - # Correct negative discharge at the end of computation step + # Correct negative discharge in main channel at the end of computation step # Outflow (x+dx) at t+dt (instant) + # --- Second line channel routing (same channel geometry but increased Manning coeff) --- - # --- Floodplains channel routing (increased Manning coeff) --- self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") - # sef.var.Chan2QKin is (virtual) total outflow (at x+dx) at time t in input and at time t+dt in output (instant) (using increased Manninig coeff) + # sef.var.Chan2QKin is (virtual) total outflow (x+dx) at time t in input and at time t+dt in output (instant) + # (same channel geometry but using increased Manninig coeff) self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta - # self.var.Chan2M3Kin is total (virtual) volume of water in river channel when second routing line is active (= using increased Manning coeff) + # Total (virtual) volume of water in river channel when second routing line is active + # (same channel geometry but using increased Manninig coeff) diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start + # Water volume over bankfull self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) - # Check for negative volume over bankfull at the end of routing step - # Total volume cannot be smaller than the bankfull volume calculated with increased Manning coeff (Chan2M3Start) + # Check for negative volume over bankfull at the end of routing step for second line of routing + # Total (virtual) volume for second line of routing cannot be smaller than the bankfull volume for the second line + # of routing aka the bankfull volume calculated with increased Manning coeff (Chan2M3Start) self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength - # Compute cross-section area for floodplains only in second line of routing (above bankfull) + # Compute cross-section area above bankfull for second line of routing self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** ( self.var.InvBeta) - # (virtual) total outflow (at x + dx) at time t + dt (instant)(using increased Manninig coeff) + # (virtual) total outflow (at x + dx) at time t + dt (instant) for second line of routing (using increased Manninig coeff) # Correct negative discharge at the end of computation step in second line FldpQKin = self.var.Chan2QKin - self.var.QLimit - # Outflow at t+dt from floodplains only (above bankfull) - - # # --- Combine the two lines of routing --- - # self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - # # (real) total outflow (at x + dx) at time t + dt (instant) - # # Superposition Kinematic - # # Main channel routing and floodplains routing - # ----------End splitrouting------------------------------------------------- + # Outflow at t+dt from above bankfull only + return @@ -1096,7 +1086,9 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha ### calling MCT function for single cell q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) - # q11[idpix] = q01[idpix] # tanto entra tanto esce nelle celle mct + # debug + # q11[idpix] = q01[idpix] + # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 From 6389294fbeff05d0a77d9f298aea040d00294d64 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 20 Feb 2024 17:46:09 +0000 Subject: [PATCH 036/134] Restored check for riverbed slope in MCT grid cells --- src/lisflood/hydrological_modules/routing.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8de87b6c..114bb16c 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -205,6 +205,13 @@ def initial(self): # River bed slope # Avoid calculation of Alpha using ChanGrad=0: this creates MV! + # if option['MCTRouting']: + # # set channel slope for MCT pixels to max 0.001 + # # Check where IsChannelMCT is True and values in ChanGrad > 0.001 + # MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) + # # Update values in ChanGrad where the condition is met + # self.var.ChanGrad[MCT_slope_mask] = 0.001 + self.var.CalChanMan = loadmap('CalChanMan') self.var.ChanMan = self.var.CalChanMan * loadmap('ChanMan') # Manning's rougthness coefficient n is multiplied by ChanManCal for calibration @@ -533,6 +540,12 @@ def initialMCT(self): self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr # Ldd for kinematic routing + # set channel slope for MCT pixels to max 0.001 + # Check where IsChannelMCT is True and values in ChanGrad > 0.001 + MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) + # Update values in ChanGrad where the condition is met + self.var.ChanGrad[MCT_slope_mask] = 0.001 + maskinfo = MaskInfo.instance() # Initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT From 61db039403b34d5646f14323044480acf58c6afc Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 29 Feb 2024 16:25:13 +0000 Subject: [PATCH 037/134] added inflows to mct routing --- .../hydrological_modules/evapowater.py | 1 + src/lisflood/hydrological_modules/inflow.py | 20 +++++++++++-------- src/lisflood/hydrological_modules/routing.py | 16 +++++++-------- 3 files changed, 21 insertions(+), 16 deletions(-) diff --git a/src/lisflood/hydrological_modules/evapowater.py b/src/lisflood/hydrological_modules/evapowater.py index ae66bf00..72025a20 100755 --- a/src/lisflood/hydrological_modules/evapowater.py +++ b/src/lisflood/hydrological_modules/evapowater.py @@ -139,6 +139,7 @@ def dynamic(self): # amount of water in bankful (first line of routing) ChanLeft = ChanMIter * 0.1 # 10% of the discharge must stay in the river + # cmcheck this is 10% of volume not discharge self.var.EvaAddM3 = MaskInfo.instance().in_zero() # real water consumption is set to 0 diff --git a/src/lisflood/hydrological_modules/inflow.py b/src/lisflood/hydrological_modules/inflow.py index 457fc68c..17c2d06c 100755 --- a/src/lisflood/hydrological_modules/inflow.py +++ b/src/lisflood/hydrological_modules/inflow.py @@ -47,7 +47,7 @@ def __init__(self, inflow_variable): # -------------------------------------------------------------------------- # -------------------------------------------------------------------------- def initial(self): - """ initial part of the inflow module + """ Initialization part of the inflow module. """ # ************************************************************ # ***** INFLOW INIT @@ -55,14 +55,17 @@ def initial(self): settings = LisSettings.instance() option = settings.options if option['inflow']: - self.var.InflowPoints = loadmap('InflowPoints') + self.var.InflowPoints = loadmap('InflowPoints') #1D array size is pixels belonging to basin mask + self.var.QInM3Old = np.where(self.var.InflowPoints > 0, self.var.ChanQ * self.var.DtSec, 0) + # inflow volume for model step # read inflow map inflowmapprc = loadmap('InflowPoints', pcr=True) - inflowmapnp = pcr2numpy(inflowmapprc, -9999) + inflowmapnp = pcr2numpy(inflowmapprc, -9999) #2D array inflowmapnp = np.where(inflowmapnp > 0, inflowmapnp, 0) + # get outlets ids from outlets map inflow_ids = np.unique(inflowmapnp) # drop negative values (= missing data in pcraster map) @@ -84,19 +87,20 @@ def initial(self): warnings.warn(LisfloodWarning("Inflow point was removed ID: %d\n" % inf_id)) # substitute indexes to id in map - self.var.InflowPointsMap = np.copy(inflowmapnp) + self.var.InflowPointsMap = np.copy(inflowmapnp) #np for k, v in iteritems(id_dict): - self.var.InflowPointsMap[inflowmapnp == k] = v + self.var.InflowPointsMap[inflowmapnp == k] = v #np # convert map to pcraster format - self.var.InflowPointsMap = numpy2pcr(Nominal, self.var.InflowPointsMap, -9999) + self.var.InflowPointsMap = numpy2pcr(Nominal, self.var.InflowPointsMap, -9999) #pcr + # Initialising cumulative output variables # These are all needed to compute the cumulative mass balance error - # inflow substep amount + def dynamic_init(self): - """ dynamic part of the inflow module + """ Initialization of the dynamic part of the inflow module init inflow before sub step routing """ diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 114bb16c..ede509a5 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -111,6 +111,8 @@ def initial(self): self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool + self.var.IsChannelPcr = boolean(decompress(self.var.IsChannel)) #pcr + # Identify grid cells containing a river channel self.var.IsStructureChan = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the @@ -205,13 +207,6 @@ def initial(self): # River bed slope # Avoid calculation of Alpha using ChanGrad=0: this creates MV! - # if option['MCTRouting']: - # # set channel slope for MCT pixels to max 0.001 - # # Check where IsChannelMCT is True and values in ChanGrad > 0.001 - # MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) - # # Update values in ChanGrad where the condition is met - # self.var.ChanGrad[MCT_slope_mask] = 0.001 - self.var.CalChanMan = loadmap('CalChanMan') self.var.ChanMan = self.var.CalChanMan * loadmap('ChanMan') # Manning's rougthness coefficient n is multiplied by ChanManCal for calibration @@ -522,8 +517,13 @@ def initialMCT(self): # ************************************************************ if option['MCTRouting']: + # maskinfo = MaskInfo.instance() + # mapnp.mask = maskinfo.info.mask + + self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool + self.var.IsChannelMCTPcr = boolean(decompress(self.var.IsChannelMCT)) # pcr # Identify channel pixels where Muskingum-Cunge-Todini is used self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) @@ -657,7 +657,7 @@ def dynamic(self, NoRoutingExecuted): if option['MCTRouting']: SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvDtRouting,0) #Ql - # Sideflow contribution to MCT grid cells expressed in [cu m /s / m channel length] + # Sideflow contribution to MCT grid cells expressed in [m3/s] else: SideflowChanMCT = 0 From 3dfd19210df42694679c254a4d7433d1584e6eb3 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 22 Mar 2024 11:32:03 +0000 Subject: [PATCH 038/134] water evaporating from total water volume in channel --- src/lisflood/hydrological_modules/evapowater.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/src/lisflood/hydrological_modules/evapowater.py b/src/lisflood/hydrological_modules/evapowater.py index 72025a20..d2bb6554 100755 --- a/src/lisflood/hydrological_modules/evapowater.py +++ b/src/lisflood/hydrological_modules/evapowater.py @@ -133,15 +133,17 @@ def dynamic(self): UpstreamEva = self.var.EWRef * self.var.MMtoM3 * self.var.WaterFraction # evaporation for loop is amount of water per timestep [cu m] # Volume of potential evaporation from water surface per time step (conversion to [m3]) + # cmcheck - ChanMIter = self.var.ChanM3Kin.copy() + # ChanMIter = self.var.ChanM3Kin.copy() + ChanMIter = self.var.ChanM3.copy() # for Iteration loop: First value is amount of water in the channel - # amount of water in bankful (first line of routing) + ChanLeft = ChanMIter * 0.1 - # 10% of the discharge must stay in the river - # cmcheck this is 10% of volume not discharge + # 10% of the volume must stay in the river + self.var.EvaAddM3 = MaskInfo.instance().in_zero() - # real water consumption is set to 0 + # real water consumption is set to 0 for NoEvaExe in range(self.var.maxNoEva): ChanHelp = np.maximum(ChanMIter - UpstreamEva, ChanLeft) From 5eb4d3a47428c4fd6498a3e509da9d74bd130a95 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 22 Mar 2024 14:15:21 +0000 Subject: [PATCH 039/134] water abstraction from total water volume in river channel --- src/lisflood/hydrological_modules/waterabstraction.py | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/src/lisflood/hydrological_modules/waterabstraction.py b/src/lisflood/hydrological_modules/waterabstraction.py index 5a29fc9f..084b25b3 100644 --- a/src/lisflood/hydrological_modules/waterabstraction.py +++ b/src/lisflood/hydrological_modules/waterabstraction.py @@ -478,8 +478,13 @@ def dynamic(self): # 10.1 Withdrawal required from channels (CH) areatotal_withdrawal_CH_required_M3 = np.maximum(areatotal_withdrawal_SW_required - self.var.areatotal_withdrawal_LakRes_actual_M3, 0.) # 10.2 Max abstractable volumes from channels, accounting for e-flow constraint + + # PixelAvailableWaterFromChannelsM3 = np.maximum( + # self.var.ChanM3Kin - self.var.EFlowThreshold * self.var.DtSec, maskinfo.in_zero()) ### QUESTION! # * (1 - self.var.WUsePercRemain) THIS BIT IS COMMENTED FOR CONSISTENCY WITH EPIC, UNCOMMENT BEFORE THE FINAL MERGE PixelAvailableWaterFromChannelsM3 = np.maximum( - self.var.ChanM3Kin - self.var.EFlowThreshold * self.var.DtSec, maskinfo.in_zero()) ### QUESTION! # * (1 - self.var.WUsePercRemain) THIS BIT IS COMMENTED FOR CONSISTENCY WITH EPIC, UNCOMMENT BEFORE THE FINAL MERGE + self.var.ChanM3 - self.var.EFlowThreshold * self.var.DtSec, maskinfo.in_zero()) ### QUESTION! # * (1 - self.var.WUsePercRemain) THIS BIT IS COMMENTED FOR CONSISTENCY WITH EPIC, UNCOMMENT BEFORE THE FINAL MERGE + # using total water storage in river channel + self.var.AreaTotalAvailableWaterFromChannelsM3 = np.maximum( np.take(np.bincount(self.var.WUseRegionC, weights=PixelAvailableWaterFromChannelsM3), self.var.WUseRegionC),maskinfo.in_zero()) From 8432a7fc542b775d4bec54b276ddb64be470b16d Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Mon, 25 Mar 2024 16:42:50 +0000 Subject: [PATCH 040/134] added variable to set maximum riverbed slope for mct routing grid cells --- src/lisflood/hydrological_modules/routing.py | 38 +++++++++++++------- 1 file changed, 26 insertions(+), 12 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 4c03ec80..1ef6e440 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -45,7 +45,7 @@ class routing(HydroModule): 'ChanSdXdY', 'TotalCrossSectionAreaInitValue', 'PrevDischarge'], 'SplitRouting': ['CrossSection2AreaInitValue', 'PrevSideflowInitValue', 'CalChanMan2'], 'dynamicWave': ['ChannelsDynamic'], - 'MCTRouting': ['ChannelsMCT','PrevQMCTinInitValue','PrevQMCToutInitValue','PrevCmMCTInitValue', + 'MCTRouting': ['ChannelsMCT','ChanGradMaxMCT','PrevQMCTinInitValue','PrevQMCToutInitValue','PrevCmMCTInitValue', 'PrevDmMCTInitValue']} module_name = 'Routing' @@ -206,6 +206,7 @@ def initial(self): self.var.ChanGrad = np.maximum(loadmap('ChanGrad'), loadmap('ChanGradMin')) # River bed slope # Avoid calculation of Alpha using ChanGrad=0: this creates MV! + # Set minimum channel slope in rivers self.var.CalChanMan = loadmap('CalChanMan') self.var.ChanMan = self.var.CalChanMan * loadmap('ChanMan') @@ -469,13 +470,14 @@ def initialSecond(self): self.var.Beta, self.var.ChanLength, self.var.DtRouting, alpha_floodplains=self.var.ChannelAlpha2, flagnancheck=flags['nancheck']) - + # cmcheck # ************************************************************ # ***** WATER BALANCE ************ # ************************************************************ if option['InitLisflood'] and option['repMBTs']: # Calculate initial water storage in rivers (no lakes no reservoirs) - self.var.StorageStepINIT= self.var.ChanM3Kin + # self.var.StorageStepINIT= self.var.ChanM3Kin + self.var.StorageStepINIT = self.var.ChanM3 # Water volume in river channels self.var.DischargeM3StructuresIni = maskinfo.in_zero() if option['simulateReservoirs']: @@ -485,19 +487,23 @@ def initialSecond(self): self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) if not option['InitLisflood'] and option['repMBTs']: + self.var.StorageStepINIT = self.var.ChanM3 DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) # cmchek to fix IsUpsOfStructureKinematicC for MCT if not(option['SplitRouting']): - self.var.StorageStepINIT = self.var.ChanM3Kin + # self.var.StorageStepINIT = self.var.ChanM3Kin + # self.var.StorageStepINIT = self.var.ChanM3 if option['simulateReservoirs']: self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + # cmchek to fix IsUpsOfStructureKinematicC for MCT if option['simulateLakes']: self.var.StorageStepINIT += self.var.LakeStorageIniM3 DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) else: - self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start + # self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start + # self.var.StorageStepINIT = self.var.ChanM3 if option['simulateReservoirs']: self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 if option['simulateLakes']: @@ -522,7 +528,6 @@ def initialMCT(self): # maskinfo = MaskInfo.instance() # mapnp.mask = maskinfo.info.mask - self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool self.var.IsChannelMCTPcr = boolean(decompress(self.var.IsChannelMCT)) # pcr @@ -542,11 +547,13 @@ def initialMCT(self): self.var.LddKinematic = lddmask(self.var.LddChan, self.var.IsChannelKinematicPcr) #pcr # Ldd for kinematic routing - # set channel slope for MCT pixels to max 0.001 - # Check where IsChannelMCT is True and values in ChanGrad > 0.001 - MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > 0.001) + ChanGradMaxMCT = loadmap('ChanGradMaxMCT') + # Maximum riverbed slope for MCT rivers + # Check where IsChannelMCT is True and values in ChanGrad > ChanGradMaxMCT + MCT_slope_mask = np.logical_and(self.var.IsChannelMCT, self.var.ChanGrad > ChanGradMaxMCT) # Update values in ChanGrad where the condition is met - self.var.ChanGrad[MCT_slope_mask] = 0.001 + self.var.ChanGrad[MCT_slope_mask] = ChanGradMaxMCT + # set max channel slope for MCT pixels maskinfo = MaskInfo.instance() # Initialisation for MCT routing @@ -808,7 +815,9 @@ def dynamic(self, NoRoutingExecuted): if option['simulateReservoirs']: sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() + # cmcheck IsUpsOfStructureKinematicC DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + # cmchek to fix IsUpsOfStructureKinematicC for MCT DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) DischargeM3StructuresR -= self.var.DischargeM3StructuresIni @@ -817,6 +826,7 @@ def dynamic(self, NoRoutingExecuted): sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + # cmchek to fix IsUpsOfStructureKinematicC for MCT DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) maskinfo = MaskInfo.instance() DisLake = maskinfo.in_zero() @@ -842,7 +852,8 @@ def dynamic(self, NoRoutingExecuted): OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) StorageStep=[] - StorageStep= self.var.ChanM3Kin.copy()+self.var.Chan2M3Kin.copy()-self.var.Chan2M3Start.copy() + # StorageStep= self.var.ChanM3Kin.copy()+self.var.Chan2M3Kin.copy()-self.var.Chan2M3Start.copy() + StorageStep = self.var.ChanM3 maskinfo = MaskInfo.instance() @@ -854,6 +865,7 @@ def dynamic(self, NoRoutingExecuted): sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + # cmchek to fix IsUpsOfStructureKinematicC for MCT DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) DischargeM3StructuresR -= self.var.DischargeM3StructuresIni @@ -861,6 +873,7 @@ def dynamic(self, NoRoutingExecuted): sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + # cmchek to fix IsUpsOfStructureKinematicC for MCT DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) DisLake = maskinfo.in_zero() np.put(DisLake, self.var.LakeIndex, 0.5 * self.var.LakeInflowCC * self.var.DtRouting) @@ -882,7 +895,8 @@ def dynamic(self, NoRoutingExecuted): #''' # Legacy - TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) + # TotalCrossSectionArea = np.maximum(self.var.ChanM3Kin * self.var.InvChanLength, 0.01) + TotalCrossSectionArea = np.maximum(self.var.ChanM3 * self.var.InvChanLength, 0.01) self.var.FlowVelocity = np.minimum(self.var.ChanQKin/TotalCrossSectionArea, 0.36*self.var.ChanQKin**0.24) # Channel velocity (m/s); dividing Q (m3/s) by CrossSectionArea (m2) # avoid extreme velocities by using the Wollheim 2006 equation From 51f9f3c9c864b2b004628ad94dca9016f7cd54fa Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 26 Mar 2024 18:25:38 +0000 Subject: [PATCH 041/134] using generic LddStructureChan and IsUpOfStructureChan --- src/lisflood/Lisflood_dynamic.py | 6 +-- .../hydrological_modules/evapowater.py | 6 +-- .../hydrological_modules/indicatorcalc.py | 3 +- src/lisflood/hydrological_modules/inflow.py | 4 +- src/lisflood/hydrological_modules/routing.py | 41 +++++++++---------- .../hydrological_modules/structures.py | 40 ++++++++++-------- .../hydrological_modules/waterabstraction.py | 10 +++-- .../hydrological_modules/waterbalance.py | 6 ++- 8 files changed, 64 insertions(+), 52 deletions(-) diff --git a/src/lisflood/Lisflood_dynamic.py b/src/lisflood/Lisflood_dynamic.py index 0af15557..88fbba4e 100644 --- a/src/lisflood/Lisflood_dynamic.py +++ b/src/lisflood/Lisflood_dynamic.py @@ -191,7 +191,7 @@ def splitlanduse(array1, array2=None, array3=None): # if option['simulatePolders']: # ChannelToPolderM3=ChannelToPolderM3Old; - # # cmcheck moved to routing.py + # # moved to routing.py # # Calculate total water storage in river channel # if option['InitLisflood'] or (not(option['SplitRouting'])): # # kinematic routing @@ -224,13 +224,13 @@ def splitlanduse(array1, array2=None, array3=None): if option['InitLisflood'] or option['repAverageDis']: self.CumQ += self.ChanQ - #cmcheck we should use ChanQAvg here not ChanQ + #cmcheck - we should use ChanQAvg here not ChanQ self.avgdis = self.CumQ/self.TimeSinceStart # to calculate average discharge over the entire simulation self.DischargeM3Out += np.where(self.AtLastPointC ,self.ChanQ * self.DtSec,0) # Cumulative outflow out of map - # cmcheck we should use ChanQAvg here not ChanQ + # cmcheck - we should use ChanQAvg here not ChanQ # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% # Calculate water level diff --git a/src/lisflood/hydrological_modules/evapowater.py b/src/lisflood/hydrological_modules/evapowater.py index d2bb6554..4f917d83 100755 --- a/src/lisflood/hydrological_modules/evapowater.py +++ b/src/lisflood/hydrological_modules/evapowater.py @@ -60,8 +60,8 @@ def initial(self): maskinfo = MaskInfo.instance() if option['openwaterevapo']: LakeMask = loadmap('LakeMask', pcr=True) - # cmcheck - lmask = ifthenelse(LakeMask != 0, self.var.LddStructuresKinematic, 5) + # lmask = ifthenelse(LakeMask != 0, self.var.LddStructuresKinematic, 5) + lmask = ifthenelse(LakeMask != 0, self.var.LddStructuresChan, 5) LddEva = lddrepair(lmask) lddC = compressArray(LddEva) inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) @@ -133,8 +133,6 @@ def dynamic(self): UpstreamEva = self.var.EWRef * self.var.MMtoM3 * self.var.WaterFraction # evaporation for loop is amount of water per timestep [cu m] # Volume of potential evaporation from water surface per time step (conversion to [m3]) - - # cmcheck # ChanMIter = self.var.ChanM3Kin.copy() ChanMIter = self.var.ChanM3.copy() # for Iteration loop: First value is amount of water in the channel diff --git a/src/lisflood/hydrological_modules/indicatorcalc.py b/src/lisflood/hydrological_modules/indicatorcalc.py index b70aa0ed..a6b6b500 100644 --- a/src/lisflood/hydrological_modules/indicatorcalc.py +++ b/src/lisflood/hydrological_modules/indicatorcalc.py @@ -132,7 +132,8 @@ def dynamic(self): # EXTERNAL FLOW wreg = decompress(self.var.WUseRegionC) # to pcraster map because of the following expression! - self.var.RegionMonthExternalInflowM3 = compressArray(areatotal(cover(ifthen(self.var.WaterRegionInflowPoints != 0, upstream(self.var.LddStructuresKinematic,decompress(self.var.MonthDisM3))),0),wreg)) + # self.var.RegionMonthExternalInflowM3 = compressArray(areatotal(cover(ifthen(self.var.WaterRegionInflowPoints != 0, upstream(self.var.LddStructuresKinematic,decompress(self.var.MonthDisM3))),0),wreg)) + self.var.RegionMonthExternalInflowM3 = compressArray(areatotal(cover(ifthen(self.var.WaterRegionInflowPoints != 0, upstream(self.var.LddStructuresChan,decompress(self.var.MonthDisM3))),0),wreg)) self.var.RegionMonthAbstractionRequiredAllSourcesM3 = np.take(np.bincount(self.var.WUseRegionC,weights=self.var.MonthAbstractionRequiredAllSourcesM3),self.var.WUseRegionC) self.var.RegionMonthAbstractionRequiredSurfaceGroundWaterM3 = np.take(np.bincount(self.var.WUseRegionC,weights=self.var.MonthAbstractionRequiredSurfaceGroundWaterM3),self.var.WUseRegionC) self.var.RegionMonthAbstractionRequiredSurfaceWaterM3 = np.take(np.bincount(self.var.WUseRegionC,weights=self.var.MonthAbstractionRequiredSurfaceWaterM3),self.var.WUseRegionC) diff --git a/src/lisflood/hydrological_modules/inflow.py b/src/lisflood/hydrological_modules/inflow.py index 17c2d06c..5a71e557 100755 --- a/src/lisflood/hydrological_modules/inflow.py +++ b/src/lisflood/hydrological_modules/inflow.py @@ -125,7 +125,7 @@ def dynamic(self): # Get inflow hydrograph at each inflow point [m3/s] QIn = compressArray(QIn) QIn[np.isnan(QIn)] = 0 - #cmcheck + #cmcheck - inflow self.var.QInM3 = QIn * self.var.DtSec # Convert to [m3] per time step self.var.TotalQInM3 += self.var.QInM3 @@ -145,7 +145,7 @@ def dynamic_inloop(self, NoRoutingExecuted): settings = LisSettings.instance() option = settings.options - if option['inflow']: #cmcheck + if option['inflow']: #cmcheck - inflow self.var.QInDt = (self.var.QInM3Old + (NoRoutingExecuted + 1) * self.var.QDelta) * self.var.InvNoRoutSteps # flow from inlets per sub step diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 1ef6e440..8c52da34 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -109,19 +109,20 @@ def initial(self): # upstream of gauge locations # Calculate inverse, so we can multiply in dynamic (faster than divide) - self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr + self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr map self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool self.var.IsChannelPcr = boolean(decompress(self.var.IsChannel)) #pcr - # Identify grid cells containing a river channel + + self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool + # Identify channel pixels using kinematic or split routing + # (identical to IsChannel, unless MCT wave is used, see below) + self.var.IsStructureChan = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the # channel routing. Set to (dummy) value of zero modified in reservoir and lake # routines (if those are used) - self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool - # Identify kinematic wave channel pixels - # (identical to IsChannel, unless MCT wave is used, see below) self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake @@ -231,7 +232,7 @@ def initial(self): # Area (sq m) of bank full discharge cross section [m2] # (trapezoid area equation) - #cmcheck + #cmcheck - TotalCrossSectionAreaHalfBankFull is not 1/2 TotalCrossSectionAreaBankFull it's trapezoid # ChanUpperWidthHalfBankFull = self.var.ChanBottomWidth + 2 * self.var.ChanSdXdY * 0.5 * ChanDepthThreshold # TotalCrossSectionAreaHalfBankFull = 0.5 * \ # 0.5 * ChanDepthThreshold * (ChanUpperWidthHalfBankFull + self.var.ChanBottomWidth) @@ -394,7 +395,7 @@ def initial(self): # Cumulative inflow volume from inflow hydrographs [m3] self.var.sumDis = maskinfo.in_zero() self.var.sumIn = maskinfo.in_zero() - # cmcheck non so se sostituita da self.var.sumInWB + # cmcheck - non so se sostituita da self.var.sumInWB self.var.sumInWB = maskinfo.in_zero() @@ -470,7 +471,6 @@ def initialSecond(self): self.var.Beta, self.var.ChanLength, self.var.DtRouting, alpha_floodplains=self.var.ChannelAlpha2, flagnancheck=flags['nancheck']) - # cmcheck # ************************************************************ # ***** WATER BALANCE ************ # ************************************************************ @@ -488,15 +488,15 @@ def initialSecond(self): if not option['InitLisflood'] and option['repMBTs']: self.var.StorageStepINIT = self.var.ChanM3 - DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - # cmchek to fix IsUpsOfStructureKinematicC for MCT + # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + DisStructure = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) if not(option['SplitRouting']): # self.var.StorageStepINIT = self.var.ChanM3Kin # self.var.StorageStepINIT = self.var.ChanM3 if option['simulateReservoirs']: self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - # cmchek to fix IsUpsOfStructureKinematicC for MCT + # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + DisStructure = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) if option['simulateLakes']: self.var.StorageStepINIT += self.var.LakeStorageIniM3 DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) @@ -815,9 +815,8 @@ def dynamic(self, NoRoutingExecuted): if option['simulateReservoirs']: sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() - # cmcheck IsUpsOfStructureKinematicC - DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - # cmchek to fix IsUpsOfStructureKinematicC for MCT + # DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DisStructureR = np.where(self.var.IsUpsOfStructureChanC, sum1 * self.var.DtRouting, 0) DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) DischargeM3StructuresR -= self.var.DischargeM3StructuresIni @@ -825,8 +824,8 @@ def dynamic(self, NoRoutingExecuted): if option['simulateLakes']: sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() - DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - # cmchek to fix IsUpsOfStructureKinematicC for MCT + # DisStructureR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DisStructureR = np.where(self.var.IsUpsOfStructureChanC, sum1 * self.var.DtRouting, 0) DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureR), self.var.Catchments) maskinfo = MaskInfo.instance() DisLake = maskinfo.in_zero() @@ -864,16 +863,16 @@ def dynamic(self, NoRoutingExecuted): sum1=[] sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.ReservoirStorageM3.copy() - DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - # cmchek to fix IsUpsOfStructureKinematicC for MCT + # DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DisStructureSR = np.where(self.var.IsUpsOfStructureChanC, sum1 * self.var.DtRouting, 0) DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) DischargeM3StructuresR -= self.var.DischargeM3StructuresIni if option['simulateLakes']: sum1 =self.var.ChanQ.copy() StorageStep = StorageStep + self.var.LakeStorageM3Balance.copy() - DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) - # cmchek to fix IsUpsOfStructureKinematicC for MCT + # DisStructureSR = np.where(self.var.IsUpsOfStructureKinematicC, sum1 * self.var.DtRouting, 0) + DisStructureSR = np.where(self.var.IsUpsOfStructureChanC, sum1 * self.var.DtRouting, 0) DischargeM3StructuresR = np.take(np.bincount(self.var.Catchments, weights=DisStructureSR), self.var.Catchments) DisLake = maskinfo.in_zero() np.put(DisLake, self.var.LakeIndex, 0.5 * self.var.LakeInflowCC * self.var.DtRouting) diff --git a/src/lisflood/hydrological_modules/structures.py b/src/lisflood/hydrological_modules/structures.py index bae99e7b..44dbeaa8 100755 --- a/src/lisflood/hydrological_modules/structures.py +++ b/src/lisflood/hydrological_modules/structures.py @@ -43,33 +43,41 @@ def __init__(self, structures_variable): def initial(self): """ initial part of the structures module """ - self.var.LddStructuresKinematic = self.var.LddKinematic #pcr + self.var.LddStructuresKinematic = self.var.LddKinematic #pcr map LddStructuresKinematicNp = compressArray(self.var.LddStructuresKinematic) - self.var.LddStructuresChan = self.var.LddChan #pcr + # Unmodified version of LddKinematic is needed to connect inflow and outflow points + # of each structure (called LddStructuresKinematic now) + + self.var.LddStructuresChan = self.var.LddChan #pcr map LddStructuresChanNp = compressArray(self.var.LddStructuresChan) + # Unmodified version of LddChan is needed to connect inflow and outflow points + # of each structure (called LddStructuresChan now) settings = LisSettings.instance() option = settings.options if not option['InitLisflood']: # not done in Init Lisflood - IsUpsOfStructureKinematic = downstream( + IsUpsOfStructureKinematic = downstream( #pcr map self.var.LddKinematic, cover(boolean(decompress(self.var.IsStructureKinematic)), boolean(0)) ) - IsUpsOfStructureChan = downstream( + # Downstream assigns to result the expression value of the neighbouring downstream cell + # Over is used to cover missing values on an expression with values taken from one or more different expression(s) + # Decompress is numpy2pcr + # Find location of pixels immediately upstream of a structure on the LddKinematic + + IsUpsOfStructureChan = downstream( #pcr map self.var.LddChan, cover(boolean(decompress(self.var.IsStructureChan)), boolean(0)) ) + # Find location of pixels immediately upstream of a structure on the LddChan + + self.var.IsUpsOfStructureKinematicC = compressArray(IsUpsOfStructureKinematic) #np compressed array + # Location of pixels immediately upstream of a structure on the LddKinematic + self.var.IsUpsOfStructureChanC = compressArray(IsUpsOfStructureChan) #np compressed array + # Location of pixels immediately upstream of a structure on the LddChan - # Get all pixels just upstream of kinematic structure locations - self.var.IsUpsOfStructureKinematicC = compressArray(IsUpsOfStructureKinematic) #np - # Unmodified version of LddKinematic is needed to connect inflow and outflow points - # of each structure (called LddStructuresKinematic now) - self.var.IsUpsOfStructureChanC = compressArray(IsUpsOfStructureChan) #np - # Unmodified version of LddChan is needed to connect inflow and outflow points - # of each structure (called LddStructuresChan now) - - self.var.LddKinematic = lddrepair(ifthenelse(IsUpsOfStructureKinematic, 5, self.var.LddKinematic)) - # Cells just upstream of each structure are treated as pits in the kinematic wave channel routing - self.var.LddChan = lddrepair(ifthenelse(IsUpsOfStructureChan, 5, self.var.LddChan)) - # Cells just upstream of each structure are treated as pits in the kinematic wave channel routing \ No newline at end of file + self.var.LddKinematic = lddrepair(ifthenelse(IsUpsOfStructureKinematic, 5, self.var.LddKinematic)) #pcr map + # Update LddKinematic by adding a pit in the pixel immediately upstream of a structure + self.var.LddChan = lddrepair(ifthenelse(IsUpsOfStructureChan, 5, self.var.LddChan)) #pcr map + # Update LddChan by adding a pit in the pixel immediately upstream of a structure diff --git a/src/lisflood/hydrological_modules/waterabstraction.py b/src/lisflood/hydrological_modules/waterabstraction.py index 084b25b3..0cee6634 100644 --- a/src/lisflood/hydrological_modules/waterabstraction.py +++ b/src/lisflood/hydrological_modules/waterabstraction.py @@ -159,14 +159,16 @@ def initial(self): pitWuse2 = ifthen(pitWuseMax == self.var.UpArea, WUseRegion) # search outlets in the inland water regions by using the maximum upstream area as criterium - pitWuse3 = downstream(self.var.LddStructuresKinematic, WUseRegion) + # pitWuse3 = downstream(self.var.LddStructuresKinematic, WUseRegion) + pitWuse3 = downstream(self.var.LddStructuresChan, WUseRegion) pitWuse3b = ifthen(pitWuse3 != WUseRegion, WUseRegion) # search point where ldd leaves a water region pitWuse = cover(pitWuse1b, pitWuse2, pitWuse3b, nominal(0)) # join all sources of pits - LddWaterRegion = lddrepair(ifthenelse(pitWuse == 0, self.var.LddStructuresKinematic, 5)) + # LddWaterRegion = lddrepair(ifthenelse(pitWuse == 0, self.var.LddStructuresKinematic, 5)) + LddWaterRegion = lddrepair(ifthenelse(pitWuse == 0, self.var.LddStructuresChan, 5)) # create a Ldd with pits at every water region outlet # this results in a interrupted ldd, so water cannot be transfered to the next water region lddC = compressArray(LddWaterRegion) @@ -185,8 +187,10 @@ def initial(self): # outflowpoints to calculate upstream inflow for balances and Water Exploitation Index # both inland outflowpoints to downstream subbasin, and coastal outlets + # WaterRegionInflow1 = boolean( + # upstream(self.var.LddStructuresKinematic, cover(scalar(self.var.WaterRegionOutflowPoints), 0))) WaterRegionInflow1 = boolean( - upstream(self.var.LddStructuresKinematic, cover(scalar(self.var.WaterRegionOutflowPoints), 0))) + upstream(self.var.LddStructuresChan, cover(scalar(self.var.WaterRegionOutflowPoints), 0))) self.var.WaterRegionInflowPoints = ifthen(WaterRegionInflow1, boolean(1)) # inflowpoints to calculate upstream inflow for balances and Water Exploitation Index else: diff --git a/src/lisflood/hydrological_modules/waterbalance.py b/src/lisflood/hydrological_modules/waterbalance.py index 3762f1bd..344cc155 100755 --- a/src/lisflood/hydrological_modules/waterbalance.py +++ b/src/lisflood/hydrological_modules/waterbalance.py @@ -89,7 +89,8 @@ def initial(self): #DisStructure = cover(ifthen( # self.var.IsUpsOfStructureKinematic, self.var.ChanQ * self.var.DtRouting), scalar(0.0)) - DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + DisStructure = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) # Discharge upstream of structure locations (coded as pits) in [m3/time step] # Needed for mass balance error calculations (see comment to calculation of WaterInit below) @@ -232,7 +233,8 @@ def dynamic(self): # for this double counting) # new 12.11.09 PB # added cumulative transmission loss - DisStru = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + # DisStru = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + DisStru = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) DischargeM3Structures = np.take(np.bincount(self.var.Catchments, weights=DisStru), self.var.Catchments) # on the last time step lakes and reservoirs calculated with the previous routing results From 04914a4d0f39a4257c89c6f456fb1204bf44d6a9 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 27 Mar 2024 19:40:55 +0000 Subject: [PATCH 042/134] added dynamic test for inflow --- tests/test_dyn_inflow.py | 99 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 99 insertions(+) create mode 100644 tests/test_dyn_inflow.py diff --git a/tests/test_dyn_inflow.py b/tests/test_dyn_inflow.py new file mode 100644 index 00000000..ff9f436f --- /dev/null +++ b/tests/test_dyn_inflow.py @@ -0,0 +1,99 @@ +from __future__ import absolute_import +import os +import datetime +import shutil +import pytest + +from lisfloodutilities.compare.nc import NetCDFComparator +from lisfloodutilities.compare.pcr import TSSComparator + +from lisflood.main import lisfloodexe +from lisflood.global_modules.settings import LisSettings + +from .test_utils import setoptions, mk_path_out + + +class TestInflow(): + + case_dir = os.path.join(os.path.dirname(__file__), 'data', 'LF_ETRS89_UseCase') + + def run(self, date_start, date_end, dtsec, type): + # generate inflow (inflow.tss) + out_path_run = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) + settings_file = os.path.join(self.case_dir, 'settings', 'inflow.xml') + settings = setoptions(settings_file, + opts_to_unset = ['inflow','SplitRouting'], + vars_to_set={'StepStart': date_start, + 'StepEnd': date_end, + 'CalendarDayStart': date_start, + 'DtSec' : dtsec, + 'MaskMap': '$(PathRoot)/maps/mask.map', + 'Gauges': '4317500 2447500', # one cell upstream of output + 'ChanqTS': out_path_run+'/inflow.tss', + 'PathOut': out_path_run}) + mk_path_out(out_path_run) + lisfloodexe(settings) + + # generate control run + out_path_run = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) + settings_file = os.path.join(self.case_dir, 'settings', 'inflow.xml') + settings = setoptions(settings_file, + opts_to_unset = ['inflow', 'SplitRouting'], + vars_to_set={'StepStart': date_start, + 'StepEnd': date_end, + 'CalendarDayStart': date_start, + 'DtSec' : dtsec, + 'MaskMap': '$(PathRoot)/maps/mask.map', + 'PathOut': out_path_run}) + # mk_path_out(out_path_run) + lisfloodexe(settings) + + # run with inflow from dynamic reference + out_path_ref = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) + out_path_run = os.path.join(self.case_dir, self.run_type) + settings_file = os.path.join(self.case_dir, 'settings', 'inflow.xml') + settings = setoptions(settings_file, + opts_to_set=['inflow'], + opts_to_unset=['SplitRouting'], + vars_to_set={'StepStart': date_start, + 'StepEnd': date_end, + 'CalendarDayStart': date_start, + 'DtSec' : dtsec, + 'MaskMap': '$(PathRoot)/maps/intercatchment_mask.map', + 'InflowPoints': '$(PathRoot)/maps/inflow_point_1.nc', + 'QInTS': out_path_ref+'/inflow.tss', + 'PathOut': out_path_run}) + mk_path_out(out_path_run) + lisfloodexe(settings) + + comparator = TSSComparator() + reference = os.path.join(out_path_ref, 'dis.tss') + output_tss = os.path.join(out_path_run, 'dis.tss') + comparator.compare_files(reference, output_tss) + + def teardown_method(self): + print('Cleaning directories') + # ref_path = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) + # shutil.rmtree(ref_path, ignore_errors=True) + # out_path = os.path.join(self.case_dir, self.run_type) + # shutil.rmtree(out_path, ignore_errors=True) + + +class TestInflowShort(TestInflow): + + run_type = 'short' + + # def test_inflow_6h(self): + # self.run("01/03/2016 06:00", "30/03/2016 06:00", 21600,'6h') + + def test_inflow_daily(self): + self.run("02/01/2016 06:00", "30/01/2016 06:00", 86400,'daily') + + +# @pytest.mark.slow +# class TestInflowLong(TestInflow): +# +# run_type = 'long' +# +# def test_inflow_short(self): +# self.run("02/01/1986 00:00", "01/01/2018 00:00") From 44660a15914d0b93bfc82f9473220f48b4fb7608 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 3 Apr 2024 15:41:15 +0000 Subject: [PATCH 043/134] Added dynamic test for inflow --- tests/test_dyn_inflow.py | 54 ++++++++++++++++++++++++++++------------ 1 file changed, 38 insertions(+), 16 deletions(-) diff --git a/tests/test_dyn_inflow.py b/tests/test_dyn_inflow.py index ff9f436f..21470c3c 100644 --- a/tests/test_dyn_inflow.py +++ b/tests/test_dyn_inflow.py @@ -18,73 +18,95 @@ class TestInflow(): case_dir = os.path.join(os.path.dirname(__file__), 'data', 'LF_ETRS89_UseCase') def run(self, date_start, date_end, dtsec, type): - # generate inflow (inflow.tss) + # generate inflow (inflow.tss) one pixel upstream of inflow point + out_path_ref = os.path.join(self.case_dir, 'reference_dyn') out_path_run = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) settings_file = os.path.join(self.case_dir, 'settings', 'inflow.xml') settings = setoptions(settings_file, - opts_to_unset = ['inflow','SplitRouting'], + opts_to_unset = ['inflow'], vars_to_set={'StepStart': date_start, 'StepEnd': date_end, 'CalendarDayStart': date_start, 'DtSec' : dtsec, + # 'DtSecChannel' : dtsec, # single routing step 'MaskMap': '$(PathRoot)/maps/mask.map', - 'Gauges': '4317500 2447500', # one cell upstream of output + # 'Gauges': '4317500 2447500 4322500 2447500 4322500 2442500', + 'Gauges': '4317500 2447500', # one cell upstream of inflow point 'ChanqTS': out_path_run+'/inflow.tss', 'PathOut': out_path_run}) + mk_path_out(out_path_ref) mk_path_out(out_path_run) lisfloodexe(settings) - # generate control run + # generate control run at inflow point out_path_run = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) settings_file = os.path.join(self.case_dir, 'settings', 'inflow.xml') settings = setoptions(settings_file, - opts_to_unset = ['inflow', 'SplitRouting'], + opts_to_unset = ['inflow'], vars_to_set={'StepStart': date_start, 'StepEnd': date_end, 'CalendarDayStart': date_start, 'DtSec' : dtsec, + # 'DtSecChannel': dtsec, # single routing step 'MaskMap': '$(PathRoot)/maps/mask.map', + # 'Gauges': '4322500 2447500 4322500 2442500', + # 'Gauges': '4322500 2447500 4447500 2422500', # inflow and outlet + 'Gauges': '4322500 2447500', # inflow point 'PathOut': out_path_run}) # mk_path_out(out_path_run) lisfloodexe(settings) - # run with inflow from dynamic reference + # run with inflow from dynamic reference and generate outflow at inflow point out_path_ref = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) out_path_run = os.path.join(self.case_dir, self.run_type) settings_file = os.path.join(self.case_dir, 'settings', 'inflow.xml') settings = setoptions(settings_file, opts_to_set=['inflow'], - opts_to_unset=['SplitRouting'], + # opts_to_unset=['SplitRouting'], vars_to_set={'StepStart': date_start, 'StepEnd': date_end, 'CalendarDayStart': date_start, 'DtSec' : dtsec, + # 'DtSecChannel': dtsec, # single routing step 'MaskMap': '$(PathRoot)/maps/intercatchment_mask.map', 'InflowPoints': '$(PathRoot)/maps/inflow_point_1.nc', 'QInTS': out_path_ref+'/inflow.tss', + # 'Gauges': '4322500 2447500 4322500 2442500', + # 'Gauges': '4322500 2447500 4447500 2422500', # inflow and outlet + 'Gauges': '4322500 2447500', # inflow point 'PathOut': out_path_run}) mk_path_out(out_path_run) lisfloodexe(settings) - comparator = TSSComparator() - reference = os.path.join(out_path_ref, 'dis.tss') - output_tss = os.path.join(out_path_run, 'dis.tss') + # set precisioon for the test + atol = 3. + rtol = 0.005 + comparator = TSSComparator(atol,rtol) + + # test when DtSec = DtSecChannel + # reference = os.path.join(out_path_ref, 'dis.tss') + # output_tss = os.path.join(out_path_run, 'dis.tss') + + # test when DtSec != DtSecChannel + reference = os.path.join(out_path_ref, 'chanqWin.tss') + output_tss = os.path.join(out_path_run, 'chanqWin.tss') + comparator.compare_files(reference, output_tss) def teardown_method(self): print('Cleaning directories') - # ref_path = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+type) - # shutil.rmtree(ref_path, ignore_errors=True) - # out_path = os.path.join(self.case_dir, self.run_type) - # shutil.rmtree(out_path, ignore_errors=True) + ref_path = os.path.join(self.case_dir, 'reference_dyn', 'inflow_'+ str(type)) + shutil.rmtree(ref_path, ignore_errors=True) + out_path = os.path.join(self.case_dir, self.run_type) + shutil.rmtree(out_path, ignore_errors=True) class TestInflowShort(TestInflow): run_type = 'short' - # def test_inflow_6h(self): - # self.run("01/03/2016 06:00", "30/03/2016 06:00", 21600,'6h') + def test_inflow_6h(self): + self.run("01/03/2016 06:00", "30/03/2016 06:00", 21600,'6h') def test_inflow_daily(self): self.run("02/01/2016 06:00", "30/01/2016 06:00", 86400,'daily') From 08c4ae460128f7ed580e53799612506403f00263 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 4 Apr 2024 11:18:18 +0000 Subject: [PATCH 044/134] added comments --- src/lisflood/hydrological_modules/routing.py | 3 +++ src/lisflood/hydrological_modules/waterbalance.py | 1 + 2 files changed, 4 insertions(+) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8c52da34..8574ca44 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -728,6 +728,8 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): + # To parallelise routing, pixels are grouped by orders. Pixels in the same order are independent and can be routed in parallel. + # Same order can have both Kin and MCT pixels # Kinematic routing is solved first to generate input to MCT grid cells # Kinematic routing is solved on all pixels (including MCT pixels) because we need input from upstream Kin pixels to MCT # (this needs to be changed in future versions) @@ -843,6 +845,7 @@ def dynamic(self, NoRoutingExecuted): #''' if option['repMBTs']: if (not(option['InitLisflood'])) and (option['SplitRouting']): + # SplitRouting # compute the mass balance at the last of the sub-routing steps in order to account for the contributions of lakes and reservoirs if NoRoutingExecuted == (self.var.NoRoutSteps-1): ChanQAvgSR = self.var.sumDisDay/self.var.NoRoutSteps #self.var.ChanQ diff --git a/src/lisflood/hydrological_modules/waterbalance.py b/src/lisflood/hydrological_modules/waterbalance.py index 344cc155..c9321d4b 100755 --- a/src/lisflood/hydrological_modules/waterbalance.py +++ b/src/lisflood/hydrological_modules/waterbalance.py @@ -57,6 +57,7 @@ def initial(self): # not done in Init Lisflood ChannelInitM3 = self.var.ChanIniM3 + # Initial total water volume in river channels [m3] if not(option['InitLisflood']): # only with no InitLisflood if option['simulateLakes']: ChannelInitM3 += self.var.LakeStorageIniM3 From e94f979a0715bdfd17817284bf466d9dde6e0ff1 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 4 Apr 2024 16:26:10 +0000 Subject: [PATCH 045/134] Adding split routing and mct option --- src/lisflood/hydrological_modules/routing.py | 45 ++++++++++++++------ 1 file changed, 33 insertions(+), 12 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8574ca44..9795beeb 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -517,8 +517,9 @@ def initialMCT(self): option = settings.options binding = settings.binding - self.var.ChannelAlpha2 = None - # default value, if split-routing is not active and water is routed only in the riverbed channel + if not (option['SplitRouting']): + self.var.ChannelAlpha2 = None + # default value, if split-routing is not active and water is routed only in the riverbed channel # ************************************************************ # ***** INITIALISATION FOR MCT ROUTING ************ @@ -555,6 +556,7 @@ def initialMCT(self): self.var.ChanGrad[MCT_slope_mask] = ChanGradMaxMCT # set max channel slope for MCT pixels + #cmcheck maskinfo = MaskInfo.instance() # Initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT @@ -726,25 +728,44 @@ def dynamic(self, NoRoutingExecuted): # sum of total river outflow on model sub-step - # KINEMATIC ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood - if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): + # KINEMATIC/SPLIT ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood + # if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): + if not option['InitLisflood'] and option['MCTRouting']: # To parallelise routing, pixels are grouped by orders. Pixels in the same order are independent and can be routed in parallel. # Same order can have both Kin and MCT pixels # Kinematic routing is solved first to generate input to MCT grid cells # Kinematic routing is solved on all pixels (including MCT pixels) because we need input from upstream Kin pixels to MCT # (this needs to be changed in future versions) - # Kinematic routing + if not (option['SplitRouting']): + # Kinematic routing - ChanQKinOutStart = self.var.ChanQ.copy() - # Outflow (x+dx) Q at time t beginning of calculation step (instant) + ChanQKinOutStart = self.var.ChanQ.copy() + # Outflow (x+dx) Q at time t beginning of calculation step (instant) - # ChanM3KinStart = self.var.ChanM3.copy() - # Channel storage at time t (instant) + # ChanM3KinStart = self.var.ChanM3.copy() + # Channel storage at time t (instant) - ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) - # Outflow at time t+dt end of calculation step (instant) - # Channel storage at time t+dt end of calculation step (instant) + ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + # Outflow at time t+dt end of calculation step (instant) + # Channel storage at time t+dt end of calculation step (instant) + + if (option['SplitRouting']): + # Split routing + + self.SplitRouting(SideflowChan) + + # Combine the two lines of routing together + + # self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + ChanQKinOutEnd = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) + # (real) total outflow (at x + dx) at time t + dt (instant) + # Main channel routing and above bankfull routing from second line of routing + + # self.var.ChanM3 = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start + ChanM3KinEnd = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start + # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second line (Chan2M3Kin - Chan2M3Start) + # at t+dt (instant) # MCT routing From a64d1f122fab6cba7331ab74ed48c647f9415c1d Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Mon, 8 Apr 2024 18:42:15 +0000 Subject: [PATCH 046/134] fixed bug in PrevDm0 --- src/lisflood/hydrological_modules/routing.py | 32 +++++++++++++++++--- 1 file changed, 28 insertions(+), 4 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 9795beeb..6e2f348a 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -556,7 +556,6 @@ def initialMCT(self): self.var.ChanGrad[MCT_slope_mask] = ChanGradMaxMCT # set max channel slope for MCT pixels - #cmcheck maskinfo = MaskInfo.instance() # Initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT @@ -577,6 +576,12 @@ def initialMCT(self): self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) # Initialise discharge for kinematic and MCT grid cells + # #cmcheck + # self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3, self.var.PrevQMCTout) + # # Initialise storage volume for kinematic and MCT grid cells + # self.var.StorageStepINIT = self.var.ChanM3 + # # Initial storage volume for kinematic and MCT grid cells + # ************************************************************ # ***** INITIALISE MUSKINGUM-CUNGE-TODINI WAVE ROUTER ******** # ************************************************************ @@ -780,7 +785,7 @@ def dynamic(self, NoRoutingExecuted): ChanM3Start = self.var.ChanM3.copy() # Channel storage at time t V0 - ChanQMCTInStart = self.var.PrevQMCTin.copy() + ChanQMCTInStart = self.var.PrevQMCTin.copy() # Inflow (x) at time t # This is coming from upstream pixels @@ -797,7 +802,7 @@ def dynamic(self, NoRoutingExecuted): # Storing MCT Courant and Reynolds numbers for state files self.var.PrevCm0 = Cmend - self.var.prevDm0 = Dmend + self.var.PrevDm0 = Dmend # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) @@ -1102,6 +1107,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # calc contribution from upstream pixels at time t+1 (dim=all pixels because we need to include both MCT and KIN pixels at the same time) ChanQMCTPcr=decompress(ChanQKinOut) #pcr + ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) # Inflow at time t+1 # I(t+dt) @@ -1126,7 +1132,11 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # Pixels in the same order are independent and can be routed in parallel. # Orders must be processed in series, starting from order 0. # Outflow from MCT pixels can only go to a MCT pixel + # First order of mct pixels have inflow from kin pixels only ChanQOut = ChanQKinOut.copy() + # Initialise outflow (x+dx) at t+dt using outflow from kinematic pixels + # Then update outflow from mct pixels as different orders are calculated + num_orders = self.mct_river_router.order_start_stop.shape[0] for order in range(num_orders): first = self.mct_river_router.order_start_stop[order, 0] @@ -1144,12 +1154,16 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 + # It can be a mix of kinematic and mct pixels. I want to update the contribution from mct pixels Q11 = self.put_mct_pix(q11) + # explode mct pixels to all catchment pixels - # combine results in pixels of this order with results in pixels of upstream orders + # combine results in pixels from this order (mct pixels) with results in pixels from upstream orders (kin and mct) + # pixels that are not MCT get value zero in Q11 from put_mct_pix (see above) ChanQOut = np.where(Q11 == 0, ChanQOut, Q11) # for each pixel in the catchment, calc contribution from upstream pixels + # outflow (x+dx) at t+dt for both kin and mct upstream pixels is stored in ChanQOut QupPcr=decompress(ChanQOut) #pcr Qup01=compressArray(upstream(self.var.LddChan,QupPcr)) @@ -1206,6 +1220,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # Calc O' first guess for the outflow at time t+dt # O'(t+dt)=O(t)+(I(t+dt)-I(t)) q11 = q10 + (q01 - q00) + # check for negative discharge values if q11 < 0: q11 = 0. @@ -1272,6 +1287,13 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa #### end of for loop + + # cmcheck + calc_t = xpix / ck1 + if calc_t < dt: + print('xpix/ck1 < dt') + + k1 = dt / Cm1 x1 = (1. - Dm1) / 2. @@ -1280,6 +1302,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # the storage as a weighted average of inflow and outflow.The rationale of this approach lies in the fact that the outflow # of the reach implicitly takes the effect of the lateral inflow into account. V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 + # V11 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! if (V11 < 0): V11=0. @@ -1481,6 +1504,7 @@ def put_mct_pix(self,var): """Explode mct array. For any array (var) with MCT pixels only, it explodes the dimension to all catchment pixels and puts values from array var in the corresponting MCT pixels. + Pixels not belonging to MCT get value equal to zero. Uses self.var.IsChannelKinematic to define MCT pixels :return: y: same as input array (var) but only all pixels From 35108a661e51f41f43a8a6865ce223f7c850d39f Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 10 Apr 2024 15:48:38 +0000 Subject: [PATCH 047/134] running on catchment with single gridcell --- .../kinematic_wave_parallel.py | 4 +++ src/lisflood/hydrological_modules/routing.py | 27 +++++++++++-------- 2 files changed, 20 insertions(+), 11 deletions(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel.py b/src/lisflood/hydrological_modules/kinematic_wave_parallel.py index af7aabc5..17b70bb2 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel.py +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel.py @@ -154,6 +154,10 @@ def _setRoutingOrders(self): self.pixels_ordered = self.pixels_ordered.sort_values(["order", "pixels"]).set_index("order").squeeze() except: # FOR COMPATIBILITY WITH OLDER PANDAS VERSIONS self.pixels_ordered = self.pixels_ordered.sort(["order", "pixels"]).set_index("order").squeeze() + # Ensure output is always a Series, even if only one element + if not isinstance(self.pixels_ordered, pd.DataFrame): + self.pixels_ordered = pd.Series(self.pixels_ordered) + order_counts = self.pixels_ordered.groupby(self.pixels_ordered.index).count() stop = order_counts.cumsum() self.order_start_stop = np.column_stack((np.append(0, stop[:-1]), stop)).astype(int) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 6e2f348a..b30249a4 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1148,9 +1148,16 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha ### calling MCT function for single cell q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) - # debug - # q11[idpix] = q01[idpix] - # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') + + # # cmcheck - tanto entra tanto esce + # # debug + # q11[idpix] = q01[idpix] + ql[idpix] + # # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') + # V11[idpix] = ChanM3MCT0[idpix] + # # Set end volume to be the same as initial volume in MCT grid cells ('tanto entra tanto esce') + + + # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 @@ -1288,10 +1295,10 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa #### end of for loop - # cmcheck - calc_t = xpix / ck1 - if calc_t < dt: - print('xpix/ck1 < dt') + # # cmcheck + # calc_t = xpix / ck1 + # if calc_t < dt: + # print('xpix/ck1 < dt') k1 = dt / Cm1 @@ -1556,12 +1563,10 @@ def _setMCTRoutingOrders(self): self.pixels_ordered = self.pixels_ordered.sort_values(["order", "pixels"]).set_index("order").squeeze() except: # FOR COMPATIBILITY WITH OLDER PANDAS VERSIONS self.pixels_ordered = self.pixels_ordered.sort(["order", "pixels"]).set_index("order").squeeze() - # Output of pd.DataFrame.squeeze() is not a DataFrame and not a Series. + # Ensure output is always a Series, even if only one element if not isinstance(self.pixels_ordered, pd.Series): - # self.pixels_ordered = pd.DataFrame({'order': [0], 'pixel': self.pixels_ordered}) - # self.pixels_ordered.set_index('order', inplace=True) self.pixels_ordered = pd.Series(self.pixels_ordered) - self.pixels_ordered.rename_axis("order") + order_counts = self.pixels_ordered.groupby(self.pixels_ordered.index).count() stop = order_counts.cumsum() self.order_start_stop = np.column_stack((np.append(0, stop[:-1]), stop)).astype(int) # astype for cython import in windows (see above) From 624803bd9319dab5431859ae698497375d0087da Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 12 Apr 2024 17:09:32 +0000 Subject: [PATCH 048/134] modified init values for mct channels --- src/lisflood/hydrological_modules/routing.py | 62 ++++++++++++++----- .../hydrological_modules/waterbalance.py | 7 +++ 2 files changed, 53 insertions(+), 16 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index b30249a4..44df970b 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -557,15 +557,29 @@ def initialMCT(self): # set max channel slope for MCT pixels maskinfo = MaskInfo.instance() + + # cmcheck # Initialisation for MCT routing + # PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT + # self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np + # # MCT inflow (x) to MCT pixel at time t0 + # + # PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT + # self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np + # # MCT outflow (x+dx) from MCT pixel at time t0 + PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT - self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np - # MCT inflow (x) to MCT pixel at time t0 + q00init = maskinfo.in_one() * 1e-06 + self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, q00init, PrevQMCTin) # np + # MCT inflow (x) to MCT pixel at time t0 - sum of upstream inputs + q10init = maskinfo.in_one() * 1e-06 PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT - self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np + self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, q10init, PrevQMCTout) #np # MCT outflow (x+dx) from MCT pixel at time t0 + + PrevCmMCT = loadmap('PrevCmMCTInitValue') self.var.PrevCm0 = np.where(PrevCmMCT == -9999, maskinfo.in_one(), PrevCmMCT) #np # Courant numnber (Cm) for MCT @@ -576,11 +590,15 @@ def initialMCT(self): self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) # Initialise discharge for kinematic and MCT grid cells - # #cmcheck - # self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3, self.var.PrevQMCTout) - # # Initialise storage volume for kinematic and MCT grid cells - # self.var.StorageStepINIT = self.var.ChanM3 - # # Initial storage volume for kinematic and MCT grid cells + #cmcheck + V00init = maskinfo.in_one() * 1e-06 + self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3, V00init) + # self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3, maskinfo.in_zero()) + # Initialise storage volume for kinematic and MCT grid cells + self.var.StorageStepINIT = self.var.ChanM3.copy() + # Initial storage volume for kinematic and MCT grid cells + self.var.ChanIniM3 = self.var.ChanM3.copy() + # Initial storage volume for kinematic and MCT grid cells # ************************************************************ # ***** INITIALISE MUSKINGUM-CUNGE-TODINI WAVE ROUTER ******** @@ -671,6 +689,8 @@ def dynamic(self, NoRoutingExecuted): SideflowChan = np.where(self.var.IsChannelKinematic, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) # Sideflow contribution to kinematic and split routing grid cells expressed in [cu m /s / m channel length] + #cmcheck + # non c'e' bisogno di questo if? if option['MCTRouting']: SideflowChanMCT = np.where(self.var.IsChannelMCT, SideflowChanM3 * self.var.InvDtRouting,0) #Ql # Sideflow contribution to MCT grid cells expressed in [m3/s] @@ -1145,6 +1165,14 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # get pixel ID idpix = self.mct_river_router.pixels_ordered[index] + # cmcheck + eps = 1e-06 + # check upstream inflow + # q01 cannot be zero + # This is a problem for head pixels + if q01[idpix] == 0: + q01[idpix] = eps + ### calling MCT function for single cell q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) @@ -1155,7 +1183,8 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') # V11[idpix] = ChanM3MCT0[idpix] # # Set end volume to be the same as initial volume in MCT grid cells ('tanto entra tanto esce') - + # #cmcheck - aggiusto il bilancio + # V11[idpix] = ChanM3MCT0[idpix] + q01[idpix] + ql[idpix] - q11[idpix] @@ -1241,14 +1270,14 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # reference I discharge at x=0 qmx0 = (q00 + q01) / 2. - if qmx0 == 0: - qmx0 = eps + # if qmx0 == 0: + # qmx0 = eps hmx0 = self.hoq(qmx0, s0, Balv, ANalv, Nalv) # reference O discharge at x=1 qmx1 = (q10 + q11) / 2. - if qmx1 == 0: - qmx1 = eps + # if qmx1 == 0: + # qmx1 = eps hmx1 = self.hoq(qmx1, s0,Balv,ANalv,Nalv) # Calc riverbed slope correction factor @@ -1261,8 +1290,8 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 qm1 = (q01 + q11) / 2. #cm - if qm1 == 0: - qm1 = eps + # if qm1 == 0: + # qm1 = eps #cm hm1 = self.hoq(qm1,s0,Balv,ANalv,Nalv) dummy, Ax1,Bx1,Px1,ck1 = self.qoh(hm1,s0,Balv,ANalv,Nalv) @@ -1283,6 +1312,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa c3 = (1 - Cm0 + Dm0) / den * (Cm1 / Cm0) c4 = (2 * Cm1) / den + # cmcheck # Calc outflow q11 at time t+1 # Mass balance equation without lateral flow # q11 = c1 * q01 + c2 * q00 + c3 * q10 @@ -1290,7 +1320,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa q11 = c1 * q01 + c2 * q00 + c3 * q10 + c4 * ql if q11 < 0.: - q11 = eps + q11 = 0 #### end of for loop diff --git a/src/lisflood/hydrological_modules/waterbalance.py b/src/lisflood/hydrological_modules/waterbalance.py index c9321d4b..aed1dedd 100755 --- a/src/lisflood/hydrological_modules/waterbalance.py +++ b/src/lisflood/hydrological_modules/waterbalance.py @@ -204,6 +204,8 @@ def dynamic(self): WaterStored_nextstep += np.take(np.bincount(self.var.Catchments,weights=HillslopeStoredM3),self.var.Catchments) # Total water stored [m3] + + # This goes out: HillslopeOutM3 = (self.var.TaWB + self.var.TaInterceptionWB + self.var.ESActWB + self.var.GwLossWB) * self.var.MMtoM3 # Water that goes out of the system at the hillslope level [m3] @@ -213,6 +215,9 @@ def dynamic(self): sum1 = self.var.ChanQAvg.copy() sum1[self.var.AtLastPointC == 0] = 0 WaterOut = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) + # Water that goes out of the system at the channels level [m3] + # (rivers flow) + WaterOut += np.take(np.bincount(self.var.Catchments,weights=HillslopeOutM3),self.var.Catchments) #WaterOut = areatotal(cover(ifthen( @@ -261,6 +266,8 @@ def dynamic(self): # Discharge just upstream of structure locations (coded as pits) in [cu m / time step] # Needed for mass balance error calculations, because of double counting of structure # storage and water in the channel. + + # Mass balance: self.var.MBError = self.var.WaterInit + WaterIn - WaterStored - WaterOut - DischargeM3Structures # Totl mass balance error per catchment [cu m]. Mass balance error is computed for each computational time step. From 36aecd5c6f9162ec7d8279ad39f1993ca5c1e6ed Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 17 Apr 2024 18:00:39 +0000 Subject: [PATCH 049/134] mct using average discharge and closing water balance on single grid cell --- src/lisflood/Lisflood_dynamic.py | 13 +- src/lisflood/Lisflood_initial.py | 4 +- src/lisflood/hydrological_modules/routing.py | 186 +++++++++++++------ 3 files changed, 140 insertions(+), 63 deletions(-) diff --git a/src/lisflood/Lisflood_dynamic.py b/src/lisflood/Lisflood_dynamic.py index 88fbba4e..29548348 100644 --- a/src/lisflood/Lisflood_dynamic.py +++ b/src/lisflood/Lisflood_dynamic.py @@ -24,6 +24,7 @@ import gc from pcraster.framework import DynamicModel + import numpy as np from lisflood.global_modules.errors import LisfloodWarning @@ -31,6 +32,10 @@ from .global_modules.settings import CDFFlags, LisSettings, MaskInfo +from pcraster import upstream +from lisflood.global_modules.add1 import decompress, compressArray + + class LisfloodModel_dyn(DynamicModel): # =========== DYNAMIC ==================================================== @@ -175,6 +180,7 @@ def splitlanduse(array1, array2=None, array3=None): # ************************************************************ maskinfo = MaskInfo.instance() self.sumDisDay = maskinfo.in_zero() + # sums up discharge of the sub steps for NoRoutingExecuted in range(self.NoRoutSteps): self.routing_module.dynamic(NoRoutingExecuted) @@ -207,11 +213,12 @@ def splitlanduse(array1, array2=None, array3=None): self.TotalCrossSectionArea = self.ChanM3 * self.InvChanLength # Total river channel cross-section area at t+dt - # Calculate total river outflow at t+dt as average of routing sub-steps (average) self.sumDis += self.sumDisDay + # Accumulated average discharge over the entire simulation period + self.ChanQAvg = self.sumDisDay/self.NoRoutSteps - # Average channel outflow on the model computation step (average of instantaneous outflows at the end of routing sub-steps) - # Same as ChanQ if using only one routing sub-step + # Average channel outflow over the model computation step + # NOT the same as ChanQ even when if using only one routing sub-step # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% diff --git a/src/lisflood/Lisflood_initial.py b/src/lisflood/Lisflood_initial.py index f238251e..76d2bfa5 100644 --- a/src/lisflood/Lisflood_initial.py +++ b/src/lisflood/Lisflood_initial.py @@ -234,7 +234,9 @@ def __init__(self): # initialise averaged discharge maskinfo = MaskInfo.instance() - self.ChanQAvg = maskinfo.in_zero() + + #cmcheck - now it's a state variable and it's initialised elsewhere + # self.ChanQAvg = maskinfo.in_zero() # initialise outputs once everything is set self.output_module.initial() diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 44df970b..9b94da8b 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -376,12 +376,28 @@ def initial(self): else: # For all routing options (kinematic, split and MCT) PrevDischarge = loadmap('PrevDischarge') - # Outflow (x+dx) Q at the end of previous computation step for full section (instant) + # Outflow (x+dx) Q at the end of previous computation step for full cross-section (instant) # Here it becomes Outflow (x+dx) Q at the beginning of the computation step (t) for full section (instant) # Used to calculated Inflow (x) from upstream pixels at the beginning of the computation step (t) self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # Initialise channel discharge: cold start: equal to ChanQKin [m3/s] + # # cmcheck - deve diventare una variabile di stato + # PrevAvgDischarge = loadmap('DischargeMaps') + # self.var.ChanQAvg = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np + # cmcheck - per adesso + self.var.ChanQAvgDt = maskinfo.in_zero() + + # Average channel outflow (x+dx) from channels during previous model computation step (dt) + + # cmcheck + ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) + # Average channel inflow (x) from channels for next model computation step (dt) + # Using LddChan here because we need all pixels upstream, kin and mct + + + # ************************************************************ # ***** CUMULATIVE OUTPUT VARIABLES ************************* # ************************************************************ @@ -560,45 +576,24 @@ def initialMCT(self): # cmcheck # Initialisation for MCT routing - # PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT - # self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np - # # MCT inflow (x) to MCT pixel at time t0 - # - # PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT - # self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np - # # MCT outflow (x+dx) from MCT pixel at time t0 - PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT - q00init = maskinfo.in_one() * 1e-06 - self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, q00init, PrevQMCTin) # np - # MCT inflow (x) to MCT pixel at time t0 - sum of upstream inputs + self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np + # MCT inflow (x) to MCT pixel at time t0 - q10init = maskinfo.in_one() * 1e-06 PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT - self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, q10init, PrevQMCTout) #np + self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np # MCT outflow (x+dx) from MCT pixel at time t0 - - PrevCmMCT = loadmap('PrevCmMCTInitValue') self.var.PrevCm0 = np.where(PrevCmMCT == -9999, maskinfo.in_one(), PrevCmMCT) #np - # Courant numnber (Cm) for MCT + # Courant numnber (Cm) for MCT at previous time step t0 PrevDmMCT = loadmap('PrevDmMCTInitValue') self.var.PrevDm0 = np.where(PrevDmMCT == -9999, maskinfo.in_zero(), PrevDmMCT) #np - # Reynolds number (Dm) for MCT + # Reynolds number (Dm) for MCT at previous time step t0 self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) - # Initialise discharge for kinematic and MCT grid cells + # Initialise instantaneous outflow for kinematic and MCT grid cells at previous time step t0 (q10) - #cmcheck - V00init = maskinfo.in_one() * 1e-06 - self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3, V00init) - # self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3, maskinfo.in_zero()) - # Initialise storage volume for kinematic and MCT grid cells - self.var.StorageStepINIT = self.var.ChanM3.copy() - # Initial storage volume for kinematic and MCT grid cells - self.var.ChanIniM3 = self.var.ChanM3.copy() - # Initial storage volume for kinematic and MCT grid cells # ************************************************************ # ***** INITIALISE MUSKINGUM-CUNGE-TODINI WAVE ROUTER ******** @@ -718,6 +713,15 @@ def dynamic(self, NoRoutingExecuted): # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) + # cmcheck + self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + self.var.ChanM3) * self.var.InvDtRouting + # if np.any(self.var.ChanQAvgDt < 0): + # print("At least one value is less than 0.") + self.var.ChanQAvgDt[self.var.ChanQAvgDt < 0] = 0 + # Average outflow (x+dx) QAvg during routing step (average) + # Qout_avg = Qin_avg -(Vend - Vini) + + # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) @@ -731,8 +735,15 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only - self.var.sumDisDay += self.var.ChanQ - # sum of total river outflow on model sub-step + # Update average channel inflow (x) Qavg for next step + ChanQAvgInDt = decompress(self.var.ChanQAvgDt) # pcr + self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDt)) + + # self.var.sumDisDay += self.var.ChanQ + # # sum of total river outflow on model sub-step + + self.var.sumDisDay += self.var.ChanQAvgDt + # sum of average river outflow on model routing sub-step # SPLIT ROUTING - no InitLisfllod @@ -768,6 +779,8 @@ def dynamic(self, NoRoutingExecuted): ChanQKinOutStart = self.var.ChanQ.copy() # Outflow (x+dx) Q at time t beginning of calculation step (instant) + ChanM3KinStart = self.var.ChanM3.copy() + # ChanM3KinStart = self.var.ChanM3.copy() # Channel storage at time t (instant) @@ -775,6 +788,19 @@ def dynamic(self, NoRoutingExecuted): # Outflow at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) + + # cmcheck + + # cal average outflow discharge for channels during routing sub step dt + + ChanQKinAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + # if np.any(self.var.ChanQAvgDt < 0): + # print("At least one value is less than 0.") + ChanQKinAvgDt[ChanQKinAvgDt < 0] = 0 + # Average outflow (x+dx) QAvg during routing step (average) + # Qout_avg = Qin_avg -(Vend - Vini) + + if (option['SplitRouting']): # Split routing @@ -802,28 +828,43 @@ def dynamic(self, NoRoutingExecuted): # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 # Set inflow from kinematic pixels to 1 - ChanM3Start = self.var.ChanM3.copy() - # Channel storage at time t V0 + ChanM3MCTStart = self.var.ChanM3.copy() + # Channel storage at time t V00 ChanQMCTInStart = self.var.PrevQMCTin.copy() - # Inflow (x) at time t + # Inflow (x) at time t instant (instant) # This is coming from upstream pixels # calling MCT routing # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels - ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3Start) + ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3MCTStart) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - # update input (x) Q at t for next step - ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr - self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) - # using LddChan here because we need to input from upstream pixels to include kinematic pixels + + # # update input (x) Q at t for next step (instant) + # ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr + # self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) + # # using LddChan here because we need to input from upstream pixels to include kinematic pixels + # Storing MCT Courant and Reynolds numbers for state files self.var.PrevCm0 = Cmend self.var.PrevDm0 = Dmend + # cmcheck + + # calc average discharge outflow for MCT channels during routing sub step dt + # ChanQMCTAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting + ChanQMCTAvgDt = np.where(self.var.IsChannelKinematic, 0., ( + self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) + + # if np.any(self.var.ChanQAvgDt < 0): + # print("At least one value is less than 0.") + ChanQMCTAvgDt[ChanQMCTAvgDt < 0] = 0 + # Average outflow (x+dx) QAvg during routing step (average) + # Qout_avg = Qin_avg -(Vend - Vini) + # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) @@ -832,10 +873,29 @@ def dynamic(self, NoRoutingExecuted): self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) # Channel storage V at the end of computation step t+dt (instant) - self.var.sumDisDay += self.var.ChanQ + # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt + + self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinAvgDt, ChanQMCTAvgDt) + # Average channel outflow (x+dx) QAvg during routing step (average) + + + # update input (x) Q at t for next step (instant) + ChanQMCTStartPcr = decompress(self.var.ChanQ) # pcr + self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) + # using LddChan here because we need to input from upstream pixels to include kinematic pixels + + + # Update average channel inflow (x) Qavg for next step + ChanQAvgInDtPcr = decompress(self.var.ChanQAvgDt) # pcr + self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDtPcr)) + + self.var.sumDisDay += self.var.ChanQAvgDt + # sum of average outflow Q on model sub-steps to give accumulated total outflow volume + + # self.var.sumDisDay += self.var.ChanQ # sum of total river outflow on model sub-step - + # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- #''' # option['repMBTs']=True @@ -1118,7 +1178,9 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # calc contribution from upstream pixels at time t (dim=all pixels) q00 = self.get_mct_pix(ChanQMCTInStart) # channel storage at the beginning of the computation step (t) - ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + # ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + V00 = self.get_mct_pix(ChanM3Start) + # Water volume in the channel at beginning of computation step (and end of previous time step) # Outflow at time t # O(t) @@ -1170,11 +1232,11 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # check upstream inflow # q01 cannot be zero # This is a problem for head pixels - if q01[idpix] == 0: - q01[idpix] = eps + # if q01[idpix] == 0: + # q01[idpix] = eps ### calling MCT function for single cell - q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], + q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(V00[idpix],q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) # # cmcheck - tanto entra tanto esce @@ -1223,7 +1285,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha return ChanQMCTOut, ChanM3MCTOut, Cmout, Dmout - def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): + def MCTRouting_single(self, V00, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): ''' This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. References: @@ -1232,6 +1294,7 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 (Appendix B) + :param V00: channel storage volume at t (beginning of computation step) :param q10: O(t) - outflow (x+dx) at time t :param q01: I(t+dt) - inflow (x) at time t+dt :param q00: I(t) - inflow (x) at time t @@ -1257,9 +1320,10 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # O'(t+dt)=O(t)+(I(t+dt)-I(t)) q11 = q10 + (q01 - q00) - # check for negative discharge values - if q11 < 0: - q11 = 0. + # check for negative and zero discharge values + # zero outflow is not allowed + if q11 <= 0: + q11 = eps # calc reference discharge at time t # qm0 = (I(t)+O(t))/2 @@ -1270,14 +1334,14 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # reference I discharge at x=0 qmx0 = (q00 + q01) / 2. - # if qmx0 == 0: - # qmx0 = eps + if qmx0 == 0: + qmx0 = eps hmx0 = self.hoq(qmx0, s0, Balv, ANalv, Nalv) # reference O discharge at x=1 qmx1 = (q10 + q11) / 2. - # if qmx1 == 0: - # qmx1 = eps + if qmx1 == 0: + qmx1 = eps hmx1 = self.hoq(qmx1, s0,Balv,ANalv,Nalv) # Calc riverbed slope correction factor @@ -1290,8 +1354,8 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 qm1 = (q01 + q11) / 2. #cm - # if qm1 == 0: - # qm1 = eps + if qm1 == 0: + qm1 = eps #cm hm1 = self.hoq(qm1,s0,Balv,ANalv,Nalv) dummy, Ax1,Bx1,Px1,ck1 = self.qoh(hm1,s0,Balv,ANalv,Nalv) @@ -1319,8 +1383,8 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # Mass balance equation that takes into consideration the lateral flow q11 = c1 * q01 + c2 * q00 + c3 * q10 + c4 * ql - if q11 < 0.: - q11 = 0 + if q11 <= 0.: + q11 = eps #### end of for loop @@ -1338,11 +1402,15 @@ def MCTRouting_single(self, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANa # The lateral inflow ql is only explicitly accounted for in the mass balance equation, while it is not in the equation expressing # the storage as a weighted average of inflow and outflow.The rationale of this approach lies in the fact that the outflow # of the reach implicitly takes the effect of the lateral inflow into account. - V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 - # V11 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! + if q11 == 0: + V11 = V00 + (q00 + q01 - q10 - q11) * dt / 2 + else: + V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 + # V11 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! + if (V11 < 0): - V11=0. + V11 = 0. # Outflow at O(t+dt), average outflow in time dt, water volume at t+dt, Courant and Reynolds numbers at t+1 for state files return q11, V11, Cm1, Dm1 From 313d00cc74a950d6eba3ae0ddd5c475f1b9baa45 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 18 Apr 2024 14:33:17 +0000 Subject: [PATCH 050/134] mct using average discharge and closing water balance on catchment --- src/lisflood/Lisflood_dynamic.py | 7 ++- src/lisflood/Lisflood_initial.py | 4 +- src/lisflood/hydrological_modules/routing.py | 55 ++++++++++--------- .../hydrological_modules/waterbalance.py | 1 + 4 files changed, 34 insertions(+), 33 deletions(-) diff --git a/src/lisflood/Lisflood_dynamic.py b/src/lisflood/Lisflood_dynamic.py index 29548348..d547ce81 100644 --- a/src/lisflood/Lisflood_dynamic.py +++ b/src/lisflood/Lisflood_dynamic.py @@ -218,7 +218,6 @@ def splitlanduse(array1, array2=None, array3=None): self.ChanQAvg = self.sumDisDay/self.NoRoutSteps # Average channel outflow over the model computation step - # NOT the same as ChanQ even when if using only one routing sub-step # %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% @@ -230,12 +229,14 @@ def splitlanduse(array1, array2=None, array3=None): # Set water level dynamic wave to dummy value (needed if option['InitLisflood'] or option['repAverageDis']: - self.CumQ += self.ChanQ + # self.CumQ += self.ChanQ + self.CumQ += self.ChanQAvg #cmcheck - we should use ChanQAvg here not ChanQ self.avgdis = self.CumQ/self.TimeSinceStart # to calculate average discharge over the entire simulation - self.DischargeM3Out += np.where(self.AtLastPointC ,self.ChanQ * self.DtSec,0) + #self.DischargeM3Out += np.where(self.AtLastPointC ,self.ChanQ * self.DtSec,0) + self.DischargeM3Out += np.where(self.AtLastPointC, self.ChanQAvg * self.DtSec, 0) # Cumulative outflow out of map # cmcheck - we should use ChanQAvg here not ChanQ diff --git a/src/lisflood/Lisflood_initial.py b/src/lisflood/Lisflood_initial.py index 76d2bfa5..f238251e 100644 --- a/src/lisflood/Lisflood_initial.py +++ b/src/lisflood/Lisflood_initial.py @@ -234,9 +234,7 @@ def __init__(self): # initialise averaged discharge maskinfo = MaskInfo.instance() - - #cmcheck - now it's a state variable and it's initialised elsewhere - # self.ChanQAvg = maskinfo.in_zero() + self.ChanQAvg = maskinfo.in_zero() # initialise outputs once everything is set self.output_module.initial() diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 9b94da8b..8e03898e 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -380,20 +380,19 @@ def initial(self): # Here it becomes Outflow (x+dx) Q at the beginning of the computation step (t) for full section (instant) # Used to calculated Inflow (x) from upstream pixels at the beginning of the computation step (t) self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np - # Initialise channel discharge: cold start: equal to ChanQKin [m3/s] + # Initialise instantaneous channel discharge: cold start: equal to ChanQKin [m3/s] # # cmcheck - deve diventare una variabile di stato # PrevAvgDischarge = loadmap('DischargeMaps') - # self.var.ChanQAvg = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np + # self.var.ChanQAvgDt = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np # cmcheck - per adesso self.var.ChanQAvgDt = maskinfo.in_zero() - - # Average channel outflow (x+dx) from channels during previous model computation step (dt) + # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) # cmcheck ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) - # Average channel inflow (x) from channels for next model computation step (dt) + # Initialise average channel inflow (x) from channels for next model computation step (dt) # Using LddChan here because we need all pixels upstream, kin and mct @@ -706,21 +705,23 @@ def dynamic(self, NoRoutingExecuted): # Outflow (x+dx) at time t beginning of calculation step (instant) # This is used to calculate inflow from upstream cells - # ChanM3KinStart = self.var.ChanM3Kin.copy() + ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) + # This is in fact the same as the average outflow -> from some feature in kinematic routing function # cmcheck - self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + self.var.ChanM3) * self.var.InvDtRouting + # Calculate average outflow using water balance for channel grid cell over sub-routing step + self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # if np.any(self.var.ChanQAvgDt < 0): # print("At least one value is less than 0.") self.var.ChanQAvgDt[self.var.ChanQAvgDt < 0] = 0 # Average outflow (x+dx) QAvg during routing step (average) - # Qout_avg = Qin_avg -(Vend - Vini) - + # Qout_avg = Qin_avg -(Vend - Vstart)/DtRouting + # Qin_avg = Qin_avg_channels + Qin_avg_sideflow # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() @@ -735,15 +736,16 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only - # Update average channel inflow (x) Qavg for next step - ChanQAvgInDt = decompress(self.var.ChanQAvgDt) # pcr - self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDt)) + # Update average channel inflow (x) Qavg for next sub-routing step + ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) # self.var.sumDisDay += self.var.ChanQ # # sum of total river outflow on model sub-step self.var.sumDisDay += self.var.ChanQAvgDt - # sum of average river outflow on model routing sub-step + # sum of average river outflow on routing sub-step + # used for calculating average discharge on model time step # SPLIT ROUTING - no InitLisfllod @@ -775,29 +777,27 @@ def dynamic(self, NoRoutingExecuted): if not (option['SplitRouting']): # Kinematic routing + # This is calculated for every grid cell, including MCT grid cells ChanQKinOutStart = self.var.ChanQ.copy() # Outflow (x+dx) Q at time t beginning of calculation step (instant) + # This is used to calculate inflow from upstream cells ChanM3KinStart = self.var.ChanM3.copy() - - # ChanM3KinStart = self.var.ChanM3.copy() - # Channel storage at time t (instant) + # Channel storage at time t beginning of calculation step (instant) ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) # Outflow at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - + # This is in fact the same as the average outflow -> from some feature in kinematic routing function # cmcheck - - # cal average outflow discharge for channels during routing sub step dt - + # Calculate average outflow using water balance for channel grid cell ChanQKinAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # if np.any(self.var.ChanQAvgDt < 0): # print("At least one value is less than 0.") ChanQKinAvgDt[ChanQKinAvgDt < 0] = 0 - # Average outflow (x+dx) QAvg during routing step (average) + # Average outflow (x+dx) QAvg during sub-routing step (average) # Qout_avg = Qin_avg -(Vend - Vini) @@ -822,7 +822,7 @@ def dynamic(self, NoRoutingExecuted): # MCT routing ChanQMCTOutStart = self.var.ChanQ.copy() - # Outflow (x+dx) at time t q10 (instant) + # Outflow (x+dx) at time t (instant) q10 # debug # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 @@ -832,7 +832,7 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t V00 ChanQMCTInStart = self.var.PrevQMCTin.copy() - # Inflow (x) at time t instant (instant) + # Inflow (x) at time t instant (instant) q00 # This is coming from upstream pixels # calling MCT routing @@ -842,10 +842,11 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t+dt end of calculation step (instant) - # # update input (x) Q at t for next step (instant) - # ChanQMCTStartPcr = decompress(ChanQMCTOutStart) # pcr - # self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) + # # update input (x) Q at t for next step (instant) q10 -> q00 + # ChanQMCTOutStartPcr = decompress(ChanQMCTOutStart) # pcr + # self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTOutStartPcr)) # # using LddChan here because we need to input from upstream pixels to include kinematic pixels + # update input (x) Q at t for next step (instant) # Storing MCT Courant and Reynolds numbers for state files @@ -855,6 +856,7 @@ def dynamic(self, NoRoutingExecuted): # cmcheck # calc average discharge outflow for MCT channels during routing sub step dt + # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step # ChanQMCTAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting ChanQMCTAvgDt = np.where(self.var.IsChannelKinematic, 0., ( self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) @@ -884,7 +886,6 @@ def dynamic(self, NoRoutingExecuted): self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) # using LddChan here because we need to input from upstream pixels to include kinematic pixels - # Update average channel inflow (x) Qavg for next step ChanQAvgInDtPcr = decompress(self.var.ChanQAvgDt) # pcr self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDtPcr)) diff --git a/src/lisflood/hydrological_modules/waterbalance.py b/src/lisflood/hydrological_modules/waterbalance.py index aed1dedd..65d39b71 100755 --- a/src/lisflood/hydrological_modules/waterbalance.py +++ b/src/lisflood/hydrological_modules/waterbalance.py @@ -213,6 +213,7 @@ def dynamic(self): ##sum1 = self.var.sumDis.copy() sum1 = self.var.ChanQAvg.copy() + # averge outflow during model time step sum1[self.var.AtLastPointC == 0] = 0 WaterOut = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) # Water that goes out of the system at the channels level [m3] From b2522160ec33479c0c82393f356bfd7de4c59035 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 26 Apr 2024 17:20:55 +0000 Subject: [PATCH 051/134] trying to calculate the average discharge for kinematic routing --- .../kinematic_wave_parallel.py | 13 ++- .../kinematic_wave_parallel_tools.py | 37 ++++++-- src/lisflood/hydrological_modules/routing.py | 87 +++++++++++++------ .../hydrological_modules/surface_routing.py | 10 ++- 4 files changed, 105 insertions(+), 42 deletions(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel.py b/src/lisflood/hydrological_modules/kinematic_wave_parallel.py index 17b70bb2..9eee05a1 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel.py +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel.py @@ -122,16 +122,21 @@ def __init__(self, compressed_encoded_ldd, land_mask, alpha_channel, beta, space self.kinematic_wave_warning_printed=False self.flagnancheck=flagnancheck # Parameters for the solution of the discretised Kinematic wave continuity equation + self.alpha_channel = alpha_channel self.space_delta = space_delta + self.inv_time_delta = 1 / time_delta self.beta = beta self.inv_beta = 1 / beta self.b_minus_1 = beta - 1 self.a_dx_div_dt_channel = alpha_channel * space_delta / time_delta self.b_a_dx_div_dt_channel = beta * self.a_dx_div_dt_channel + self.a_dx = alpha_channel * space_delta # If split-routing (floodplains) if alpha_floodplains is not None: + self.alpha_floodplains = alpha_floodplains self.a_dx_div_dt_floodplains = alpha_floodplains * space_delta / time_delta self.b_a_dx_div_dt_floodplains = beta * self.a_dx_div_dt_floodplains + self.a_dx_floodplains = alpha_floodplains * space_delta # Process flow direction matrix: downstream and upstream lookups, and routing orders flow_dir = decodeFlowMatrix(rebuildFlowMatrix(compressed_encoded_ldd, land_mask)) self.downstream_lookup, self.upstream_lookup = streamLookups(flow_dir, land_mask) @@ -163,7 +168,7 @@ def _setRoutingOrders(self): self.order_start_stop = np.column_stack((np.append(0, stop[:-1]), stop)).astype(int) self.pixels_ordered = self.pixels_ordered.values.astype(int) - def kinematicWaveRouting(self, discharge, specific_lateral_inflow, section="main_channel"): + def kinematicWaveRouting(self, discharge_avg, discharge, specific_lateral_inflow, section="main_channel"): """Kinematic wave routing: wrapper around kinematic_wave_parallel_tools.kinematicWave""" # Lateral inflow (m3 s-1) lateral_inflow = nx.evaluate("q * dx", local_dict={"q": specific_lateral_inflow, "dx": self.space_delta}) @@ -171,18 +176,20 @@ def kinematicWaveRouting(self, discharge, specific_lateral_inflow, section="main if section == "main_channel": a_dx_div_dt = self.a_dx_div_dt_channel b_a_dx_div_dt = self.b_a_dx_div_dt_channel + a_dx = self.a_dx elif section == "floodplains": a_dx_div_dt = self.a_dx_div_dt_floodplains b_a_dx_div_dt = self.b_a_dx_div_dt_floodplains + a_dx = self.a_dx_floodplains else: raise Exception("The section parameter must be either 'main_channel' or 'floodplain'!") # Constant term in f(x) evaluation for Newton-Raphson method local_dict = {"a_dx_div_dt": a_dx_div_dt, "Qold": discharge, "b": self.beta, "lateral_inflow": lateral_inflow} constant = nx.evaluate("a_dx_div_dt * Qold ** b + lateral_inflow", local_dict=local_dict) # Solve the Kinematic wave equation - kwpt.kinematicRouting(discharge, lateral_inflow, constant, self.upstream_lookup,\ + kwpt.kinematicRouting(discharge_avg, discharge, lateral_inflow, constant, self.upstream_lookup,\ self.num_upstream_pixels, self.pixels_ordered, self.order_start_stop,\ - self.beta, self.inv_beta, self.b_minus_1, a_dx_div_dt, b_a_dx_div_dt) + self.inv_time_delta,self.beta, self.inv_beta, self.b_minus_1, a_dx_div_dt, b_a_dx_div_dt, a_dx) if self.flagnancheck: if self.kinematic_wave_warning_printed==False: if np.all(np.isfinite(discharge))==False: diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py index e15908ca..cbc00bf6 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py @@ -32,9 +32,9 @@ # ROUTING FUNCTIONS # ------------------------------------------------------------------------------------------------- @njit(parallel=True, fastmath=False, cache=True) -def kinematicRouting(discharge, lateral_inflow, constant, upstream_lookup,\ - num_upstream_pixels, ordered_pixels, start_stop, beta, inv_beta,\ - b_minus_1, a_dx_div_dt, b_a_dx_div_dt): +def kinematicRouting(discharge_avg, discharge, lateral_inflow, constant, upstream_lookup,\ + num_upstream_pixels, ordered_pixels, start_stop, inv_time_delta, beta, inv_beta,\ + b_minus_1, a_dx_div_dt, b_a_dx_div_dt, a_dx): """ This function performs the kinematic wave routing algorithm to simulate the movement of water through a network of interconnected channels. :param discharge: @@ -49,6 +49,7 @@ def kinematicRouting(discharge, lateral_inflow, constant, upstream_lookup,\ :param b_minus_1: :param a_dx_div_dt: :param b_a_dx_div_dt: + :param a_dx: ChannelAlpha * ChanLength :return: """ num_orders = start_stop.shape[0] @@ -59,34 +60,43 @@ def kinematicRouting(discharge, lateral_inflow, constant, upstream_lookup,\ # Iterate through each pixel in the current order in parallel for index in prange(first, last): # Solve the kinematic wave for the current pixel - solve1Pixel(ordered_pixels[index], discharge, lateral_inflow, constant, upstream_lookup,\ - num_upstream_pixels, a_dx_div_dt, b_a_dx_div_dt, beta, inv_beta, b_minus_1) + solve1Pixel(ordered_pixels[index], discharge_avg, discharge, lateral_inflow, constant, upstream_lookup,\ + num_upstream_pixels, a_dx_div_dt, b_a_dx_div_dt, inv_time_delta, beta, inv_beta, b_minus_1, a_dx) @njit(nogil=True, fastmath=False, cache=True) -def solve1Pixel(pix, discharge, lateral_inflow, constant,\ +def solve1Pixel(pix, discharge_avg, discharge, lateral_inflow, constant,\ upstream_lookup, num_upstream_pixels, a_dx_div_dt,\ - b_a_dx_div_dt, beta, inv_beta, b_minus_1): + b_a_dx_div_dt, inv_time_delta, beta, inv_beta, b_minus_1, a_dx): """ Te Chow et al. 1988 - Applied Hydrology - Chapter 9.6 :param pix: - :param discharge: + :param discharge_avg: average outflow discharge + :param discharge: instantaneous outflow discharge :param lateral_inflow: :param constant: :param upstream_lookup: :param num_upstream_pixels: :param a_dx_div_dt: :param b_a_dx_div_dt: + :param inv_time_delta: 1/DtRouting :param beta: :param inv_beta: :param b_minus_1: + :param a_dx: ChannelAlpha * ChanLength :return: """ count = 0 previous_estimate = -1.0 upstream_inflow = 0.0 + upstream_inflow_avg = 0.0 + + # volume of water in channel at beginning of computation step + channel_volume_start = a_dx * discharge[pix]**beta + # Inflow from upstream pixels for ups_ix in range(num_upstream_pixels[pix]): upstream_inflow += discharge[upstream_lookup[pix,ups_ix]] + upstream_inflow_avg += discharge_avg[upstream_lookup[pix, ups_ix]] const_plus_ups_infl = upstream_inflow + constant[pix] # upstream_inflow + alpha*dx/dt*Qold**beta + dx*specific_lateral_inflow # If old discharge, upstream inflow and lateral inflow are below accuracy: set discharge to 0 and exit if const_plus_ups_infl <= NEWTON_TOL: @@ -111,6 +121,17 @@ def solve1Pixel(pix, discharge, lateral_inflow, constant,\ # If iterations converge to NEWTON_TOL, set value to 0 if discharge[pix] == NEWTON_TOL: discharge[pix] = 0 + + # cmcheck + # avoid negative discharge + if discharge[pix] < 0: + discharge[pix] = 0 + # volume of water in channel at end of computation step + channel_volume_end = a_dx * discharge[pix]**beta + # mass water balance to calc average outflow + discharge_avg[pix] = upstream_inflow_avg + lateral_inflow + (channel_volume_start - channel_volume_end) * inv_time_delta + + # to simulate inf or nan: discharge[pix] = 1.0/0.0 # with gil: # got_valid_value = np.isfinite(discharge[pix]) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8e03898e..0111b782 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -374,7 +374,7 @@ def initial(self): # IsChannelDynamic, ChanQDyn, self.var.ChanQKin) # Channel discharge: combine results of kinematic and dynamic wave else: - # For all routing options (kinematic, split and MCT) + # For routing options kinematic PrevDischarge = loadmap('PrevDischarge') # Outflow (x+dx) Q at the end of previous computation step for full cross-section (instant) # Here it becomes Outflow (x+dx) Q at the beginning of the computation step (t) for full section (instant) @@ -386,15 +386,15 @@ def initial(self): # PrevAvgDischarge = loadmap('DischargeMaps') # self.var.ChanQAvgDt = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np # cmcheck - per adesso - self.var.ChanQAvgDt = maskinfo.in_zero() + # # the following is necessary to initialise kinematic and close the balance + # # not sure if it works for MCT too + self.var.ChanQAvgDt = self.var.ChanQKin.copy() # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) - # cmcheck - ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr - self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) - # Initialise average channel inflow (x) from channels for next model computation step (dt) - # Using LddChan here because we need all pixels upstream, kin and mct - + # ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) + # # Initialise average channel inflow (x) from channels for model computation step (dt) + # # Using LddChan here because we need all pixels upstream, kin and mct # ************************************************************ @@ -594,6 +594,23 @@ def initialMCT(self): # Initialise instantaneous outflow for kinematic and MCT grid cells at previous time step t0 (q10) + # # cmcheck - deve diventare una variabile di stato + # PrevAvgDischarge = loadmap('DischargeMaps') + # self.var.ChanQAvgDt = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np + # cmcheck - per adesso + ChanQAvgDtMCT = maskinfo.in_zero() + # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) + + self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, self.var.ChanQAvgDt, ChanQAvgDtMCT) + # Initialise average outflow for kinematic and MCT grid cells at during time step dt + + ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) + # Initialise average channel inflow (x) from channels for model computation step (dt) + # Using LddChan here because we need all pixels upstream, kin and mct + + + # ************************************************************ # ***** INITIALISE MUSKINGUM-CUNGE-TODINI WAVE ROUTER ******** # ************************************************************ @@ -663,6 +680,7 @@ def dynamic(self, NoRoutingExecuted): ### check mass balance within routing ### if option['repMBTs']: if (NoRoutingExecuted<1): + self.var.AddedTRUNM3 = np.take(np.bincount(self.var.Catchments, weights=SideflowChanM3.copy()),self.var.Catchments) self.var.AddedTRUN = np.take(np.bincount(self.var.Catchments, weights=self.var.ToChanM3RunoffDt.copy()),self.var.Catchments) if option['inflow']: self.var.AddedTRUN += np.take(np.bincount(self.var.Catchments, weights=self.var.QInDt),self.var.Catchments) @@ -671,13 +689,15 @@ def dynamic(self, NoRoutingExecuted): if option['wateruse']: self.var.AddedTRUN -= np.take(np.bincount(self.var.Catchments, weights=self.var.WUseAddM3Dt.copy()),self.var.Catchments) else: + self.var.AddedTRUNM3 =+ np.take(np.bincount(self.var.Catchments, weights=SideflowChanM3.copy()), + self.var.Catchments) self.var.AddedTRUN += np.take(np.bincount(self.var.Catchments, weights=self.var.ToChanM3RunoffDt.copy()),self.var.Catchments) if option['inflow']: - self.var.AddedTRUN += np.take(np.bincount(self.var.Catchments, weights=self.var.QInDt),self.var.Catchments) + self.var.AddedTRUN += np.take(np.bincount(self.var.Catchments, weights=self.var.QInDt),self.var.Catchments) if option['openwaterevapo']: self.var.AddedTRUN -= np.take(np.bincount(self.var.Catchments, weights=self.var.EvaAddM3Dt.copy()),self.var.Catchments) if option['wateruse']: - self.var.AddedTRUN -= np.take(np.bincount(self.var.Catchments, weights=self.var.WUseAddM3Dt.copy()),self.var.Catchments) + self.var.AddedTRUN -= np.take(np.bincount(self.var.Catchments, weights=self.var.WUseAddM3Dt.copy()),self.var.Catchments) SideflowChan = np.where(self.var.IsChannelKinematic, SideflowChanM3 * self.var.InvChanLength * self.var.InvDtRouting,0) @@ -705,23 +725,27 @@ def dynamic(self, NoRoutingExecuted): # Outflow (x+dx) at time t beginning of calculation step (instant) # This is used to calculate inflow from upstream cells + ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() + # Outflow (x+dx) at time t beginning of calculation step (instant) + # This is used to calculate inflow from upstream cells + ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) - ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) + ChanQKinOutEnd_avg, ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) # This is in fact the same as the average outflow -> from some feature in kinematic routing function # cmcheck - # Calculate average outflow using water balance for channel grid cell over sub-routing step - self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - # if np.any(self.var.ChanQAvgDt < 0): - # print("At least one value is less than 0.") - self.var.ChanQAvgDt[self.var.ChanQAvgDt < 0] = 0 - # Average outflow (x+dx) QAvg during routing step (average) - # Qout_avg = Qin_avg -(Vend - Vstart)/DtRouting - # Qin_avg = Qin_avg_channels + Qin_avg_sideflow + # # Calculate average outflow using water balance for channel grid cell over sub-routing step + # self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + # # if np.any(self.var.ChanQAvgDt < 0): + # # print("At least one value is less than 0.") + # self.var.ChanQAvgDt[self.var.ChanQAvgDt < 0] = 0 + # # Average outflow (x+dx) QAvg during routing step (average) + # # Qout_avg = Qin_avg -(Vend - Vstart)/DtRouting + # # Qin_avg = Qin_avg_channels + Qin_avg_sideflow # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() @@ -735,14 +759,21 @@ def dynamic(self, NoRoutingExecuted): self.var.ChanM3 = ChanM3KinEnd.copy() # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only + self.var.ChanQAvgDt = ChanQKinOutEnd_avg.copy() + # Average Outflow (x+dx) Q during computation step dt for full section (instant) + # same as ChanQKinOutEnd=self.var.ChanQKin for Kinematic routing only - # Update average channel inflow (x) Qavg for next sub-routing step - ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr - self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) + # # Update average channel inflow (x) Qavg for next sub-routing step + # ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) # self.var.sumDisDay += self.var.ChanQ - # # sum of total river outflow on model sub-step + # # # sum of total river outflow on model sub-step + # # This is the only way to close the water balance + # # ChanQKinOutEnd_bilancio = (ChanQKinOutStart * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + # Not closing water balance on grid cell !!!!!!!!!!!!! + # cmcheck self.var.sumDisDay += self.var.ChanQAvgDt # sum of average river outflow on routing sub-step # used for calculating average discharge on model time step @@ -910,7 +941,7 @@ def dynamic(self, NoRoutingExecuted): # Using ChanM3 so it's OK for both MCT and KIN ChanQAvgR = self.var.sumDisDay/self.var.NoRoutSteps - # average (of instantaneous) outflow (x+dx) at t+dt end of routing step + # average outflow (x+dx) sum1=ChanQAvgR.copy() sum1[self.var.AtLastPointC == 0] = 0 OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) @@ -944,7 +975,7 @@ def dynamic(self, NoRoutingExecuted): DischargeM3StructuresR -= self.var.DischargeM3StructuresIni # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) - MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN + MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUNM3 self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] #''' @@ -1018,7 +1049,7 @@ def dynamic(self, NoRoutingExecuted): # maximum set to 30km/day for 5km cell, is at DtSec/Traveltime=6, is at Traveltime Date: Wed, 1 May 2024 16:31:43 +0000 Subject: [PATCH 052/134] using Qavg for channel mass balance --- src/lisflood/hydrological_modules/routing.py | 25 +++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 8e03898e..32bba7ea 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -386,7 +386,8 @@ def initial(self): # PrevAvgDischarge = loadmap('DischargeMaps') # self.var.ChanQAvgDt = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np # cmcheck - per adesso - self.var.ChanQAvgDt = maskinfo.in_zero() + # self.var.ChanQAvgDt = maskinfo.in_zero() + self.var.ChanQAvgDt = self.var.ChanQKin.copy() # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) # cmcheck @@ -723,6 +724,18 @@ def dynamic(self, NoRoutingExecuted): # Qout_avg = Qin_avg -(Vend - Vstart)/DtRouting # Qin_avg = Qin_avg_channels + Qin_avg_sideflow + # # checking water mass balance on the channel control volume + balance = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - ChanQKinOutEnd) + balance_avg = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - self.var.ChanQAvgDt) + # if balance > 1.e-9: + # print('Balance') + # print('QChan ', balance) + # print('Qavg ', balance_avg) + # if balance_avg > 1.e-9: + # print('Balance_avg') + # print('QChan ', balance) + # print('Qavg ', balance_avg) + # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) @@ -913,7 +926,7 @@ def dynamic(self, NoRoutingExecuted): # average (of instantaneous) outflow (x+dx) at t+dt end of routing step sum1=ChanQAvgR.copy() sum1[self.var.AtLastPointC == 0] = 0 - OutStep = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) + OutStepM3 = np.take(np.bincount(self.var.Catchments,weights=sum1 * self.var.DtSec),self.var.Catchments) # average outflow volume (x+dx) volume at t+dt maskinfo = MaskInfo.instance() @@ -944,7 +957,13 @@ def dynamic(self, NoRoutingExecuted): DischargeM3StructuresR -= self.var.DischargeM3StructuresIni # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) - MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStep[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN + MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStepM3[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN + # final chan storage + initial chan storage - outflow - lakes and res storage + sideflow + + if MB > 1.e-9: + print('Mass balance error', MB) + + self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] #''' From d68f42c14ef3828883c0ba444ff5ad165f0fd7fe Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 22 May 2024 11:59:03 +0000 Subject: [PATCH 053/134] Testing amss balance MB on single kinematic cell --- src/lisflood/hydrological_modules/routing.py | 50 +++++++++++++------- 1 file changed, 33 insertions(+), 17 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 32bba7ea..d713ba50 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -391,6 +391,7 @@ def initial(self): # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) # cmcheck + # THIS NEEDS TO BE MOVED TO INTERNAL LOOP ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) # Initialise average channel inflow (x) from channels for next model computation step (dt) @@ -716,6 +717,8 @@ def dynamic(self, NoRoutingExecuted): # cmcheck # Calculate average outflow using water balance for channel grid cell over sub-routing step + # Integration on control volume + # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # if np.any(self.var.ChanQAvgDt < 0): # print("At least one value is less than 0.") @@ -724,17 +727,27 @@ def dynamic(self, NoRoutingExecuted): # Qout_avg = Qin_avg -(Vend - Vstart)/DtRouting # Qin_avg = Qin_avg_channels + Qin_avg_sideflow + # # cmcheck # # checking water mass balance on the channel control volume - balance = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - ChanQKinOutEnd) - balance_avg = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - self.var.ChanQAvgDt) - # if balance > 1.e-9: - # print('Balance') - # print('QChan ', balance) - # print('Qavg ', balance_avg) - # if balance_avg > 1.e-9: - # print('Balance_avg') - # print('QChan ', balance) - # print('Qavg ', balance_avg) + # # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP + # balance = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - ChanQKinOutEnd) + # # YOU NEED TO REPLACE THIS self.var.ChanQAvgInDt WITH INSTANT INFLOW FROM UPSTREAM CELLS + # # IT WORKS FOR HEAD CELLS ONLY + # + # balance_avg = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - self.var.ChanQAvgDt) + # # IT WORKS FOR HEAD CELLS ONLY + # + # # if balance > 1.e-9: + # # print('Balance') + # # print('QChan ', balance) + # # print('Qavg ', balance_avg) + # # if balance_avg > 1.e-9: + # # print('Balance_avg') + # # print('QChan ', balance) + # # print('Qavg ', balance_avg) + # if abs(balance - balance_avg) > 1.e-12: + # print(balance,balance_avg) + # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() @@ -749,16 +762,20 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only + # cmcheck + # # IT WORKS FOR HEAD CELLS ONLY # Update average channel inflow (x) Qavg for next sub-routing step ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) - # self.var.sumDisDay += self.var.ChanQ + self.var.sumDisDay += self.var.ChanQ # # sum of total river outflow on model sub-step - self.var.sumDisDay += self.var.ChanQAvgDt - # sum of average river outflow on routing sub-step - # used for calculating average discharge on model time step + # # cmcheck + # # # IT WORKS FOR HEAD CELLS ONLY + # self.var.sumDisDay += self.var.ChanQAvgDt + # # sum of average river outflow on routing sub-step + # # used for calculating average discharge on model time step # SPLIT ROUTING - no InitLisfllod @@ -957,11 +974,10 @@ def dynamic(self, NoRoutingExecuted): DischargeM3StructuresR -= self.var.DischargeM3StructuresIni # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) - MB =- np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStepM3[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN - # final chan storage + initial chan storage - outflow - lakes and res storage + sideflow + MB =-np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStepM3[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN if MB > 1.e-9: - print('Mass balance error', MB) + print('Mass balance error MB=', MB) self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] From d88f6cd7b4f1eff00e4b34ca9578e4fd8ee2cd90 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 22 May 2024 16:37:34 +0000 Subject: [PATCH 054/134] Moved integration on control volume to inner loop in mct. --- src/lisflood/hydrological_modules/routing.py | 129 +++++++++++++------ 1 file changed, 92 insertions(+), 37 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index d713ba50..a9c7d39d 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -577,14 +577,22 @@ def initialMCT(self): # cmcheck # Initialisation for MCT routing - PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT + PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT at previouse step self.var.PrevQMCTin = np.where(PrevQMCTin == -9999, maskinfo.in_zero(), PrevQMCTin) # np # MCT inflow (x) to MCT pixel at time t0 - PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT + #cmcheck + # this is probable not necessary, I can use ChanQ + PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT at previous step self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np # MCT outflow (x+dx) from MCT pixel at time t0 + self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) + # Initialise instantaneous outflow for kinematic and MCT grid cells at previous time step t0 (q10) + + # #cmcheck + # self.var.ChanQAvgDt is average outflow during previous step and it is initialised with kinematic routing + PrevCmMCT = loadmap('PrevCmMCTInitValue') self.var.PrevCm0 = np.where(PrevCmMCT == -9999, maskinfo.in_one(), PrevCmMCT) #np # Courant numnber (Cm) for MCT at previous time step t0 @@ -592,9 +600,6 @@ def initialMCT(self): self.var.PrevDm0 = np.where(PrevDmMCT == -9999, maskinfo.in_zero(), PrevDmMCT) #np # Reynolds number (Dm) for MCT at previous time step t0 - self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) - # Initialise instantaneous outflow for kinematic and MCT grid cells at previous time step t0 (q10) - # ************************************************************ # ***** INITIALISE MUSKINGUM-CUNGE-TODINI WAVE ROUTER ******** @@ -823,10 +828,12 @@ def dynamic(self, NoRoutingExecuted): # cmcheck # Calculate average outflow using water balance for channel grid cell - ChanQKinAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + # Integration on control volume + # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP + ChanQKinOutAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # if np.any(self.var.ChanQAvgDt < 0): # print("At least one value is less than 0.") - ChanQKinAvgDt[ChanQKinAvgDt < 0] = 0 + ChanQKinOutAvgDt[ChanQKinOutAvgDt < 0] = 0 # Average outflow (x+dx) QAvg during sub-routing step (average) # Qout_avg = Qin_avg -(Vend - Vini) @@ -865,12 +872,19 @@ def dynamic(self, NoRoutingExecuted): # Inflow (x) at time t instant (instant) q00 # This is coming from upstream pixels + # calling MCT routing # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels - ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,SideflowChanMCT,ChanM3MCTStart) - # Outflow (x+dx) at time t+dt end of calculation step (instant) - # Channel storage at time t+dt end of calculation step (instant) + # using ChanQKinOutAvgDt from kinematic routing to have average outflow from upstream kinematic pixels + ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3MCTStart) + # Average outflow (x+dx) during time dt step (average) q1m + # Outflow (x+dx) at time t+dt end of calculation step (instant) q11 + # Channel storage at time t+dt end of calculation step (instant) V11 + # mct_balance = np.where(self.var.IsChannelKinematic, 0., (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) - ChanQMCTOutAvgDt + # # cmcheck + # if abs(mct_balance) > 1.e-12: + # print('mct_balance error ',mct_balance) # # update input (x) Q at t for next step (instant) q10 -> q00 # ChanQMCTOutStartPcr = decompress(ChanQMCTOutStart) # pcr @@ -883,19 +897,19 @@ def dynamic(self, NoRoutingExecuted): self.var.PrevCm0 = Cmend self.var.PrevDm0 = Dmend - # cmcheck - - # calc average discharge outflow for MCT channels during routing sub step dt - # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step - # ChanQMCTAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting - ChanQMCTAvgDt = np.where(self.var.IsChannelKinematic, 0., ( - self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) - - # if np.any(self.var.ChanQAvgDt < 0): - # print("At least one value is less than 0.") - ChanQMCTAvgDt[ChanQMCTAvgDt < 0] = 0 - # Average outflow (x+dx) QAvg during routing step (average) - # Qout_avg = Qin_avg -(Vend - Vini) + # # cmcheck + # + # # calc average discharge outflow for MCT channels during routing sub step dt + # # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step + # # ChanQMCTAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting + # ChanQMCTAvgDt = np.where(self.var.IsChannelKinematic, 0., ( + # self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) + # + # # if np.any(self.var.ChanQAvgDt < 0): + # # print("At least one value is less than 0.") + # ChanQMCTAvgDt[ChanQMCTAvgDt < 0] = 0 + # # Average outflow (x+dx) QAvg during routing step (average) + # # Qout_avg = Qin_avg -(Vend - Vini) # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) @@ -906,8 +920,9 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+dt (instant) # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt - - self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinAvgDt, ChanQMCTAvgDt) + #cmcheck + # THIS works for head cells only for kinematic + self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinOutAvgDt, ChanQMCTOutAvgDt) # Average channel outflow (x+dx) QAvg during routing step (average) @@ -916,9 +931,9 @@ def dynamic(self, NoRoutingExecuted): self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) # using LddChan here because we need to input from upstream pixels to include kinematic pixels - # Update average channel inflow (x) Qavg for next step - ChanQAvgInDtPcr = decompress(self.var.ChanQAvgDt) # pcr - self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDtPcr)) + # # Update average channel inflow (x) Qavg for next step + # ChanQAvgInDtPcr = decompress(self.var.ChanQAvgDt) # pcr + # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDtPcr)) self.var.sumDisDay += self.var.ChanQAvgDt # sum of average outflow Q on model sub-steps to give accumulated total outflow volume @@ -976,7 +991,8 @@ def dynamic(self, NoRoutingExecuted): # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) MB =-np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStepM3[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN - if MB > 1.e-9: + # cmcheck + if MB > 1.e-12: print('Mass balance error MB=', MB) @@ -1179,7 +1195,7 @@ def SplitRouting(self, SideflowChan): return - def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowChanMCT,ChanM3Start): + def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3Start): """This function implements Muskingum-Cunge-Todini routing method MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. Function get_mct_pix is used to compress arrays with all river channel pixels to arrays containing MCT pixels only. @@ -1224,20 +1240,32 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha q10 = self.get_mct_pix(ChanQMCTOutStart) # calc contribution from upstream pixels at time t+1 (dim=all pixels because we need to include both MCT and KIN pixels at the same time) + # First order (aka order 0) of mct pixels have inflow and average inflow from kin pixels only ChanQMCTPcr=decompress(ChanQKinOut) #pcr - ChanQMCTUp1=compressArray(upstream(self.var.LddChan,ChanQMCTPcr)) # Inflow at time t+1 # I(t+dt) # dim=mct pixels q01 = self.get_mct_pix(ChanQMCTUp1) + # cmcheck + # THIS IS WHERE i NEED TO CALCULATE + # calc average discharge from upstream pixels during step dt + # First order (aka order 0) of mct pixels have inflow and average inflow from kin pixels only + # I have already calculated outflow for all kin pixels for this step + ChanQKinOutAvgDtPcr=decompress(ChanQKinOutAvgDt) #pcr + ChanQKinOutAvgDtUp1=compressArray(upstream(self.var.LddChan,ChanQKinOutAvgDtPcr)) + # Average Inflow at time dt + # I average (t+dt) + # dim=mct pixels + q0m = self.get_mct_pix(ChanQKinOutAvgDtUp1) + # Outflow (x+1) at time t+1 # O(t+dt) # dim=mct pixels # set to zero at beginning of computation q11 = np.zeros_like(q01) - # qout_ave = np.zeros_like(q01) + q1m = np.zeros_like(q01) V11 = np.zeros_like(q01) # Lateral flow Ql (average) during interval dt [m3/s] @@ -1250,15 +1278,18 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # Pixels in the same order are independent and can be routed in parallel. # Orders must be processed in series, starting from order 0. # Outflow from MCT pixels can only go to a MCT pixel - # First order of mct pixels have inflow from kin pixels only + # First order (aka order 0) of mct pixels have inflow and average inflow from kin pixels only ChanQOut = ChanQKinOut.copy() + ChanQOutAvg = ChanQKinOutAvgDt.copy() # Initialise outflow (x+dx) at t+dt using outflow from kinematic pixels # Then update outflow from mct pixels as different orders are calculated num_orders = self.mct_river_router.order_start_stop.shape[0] + # loop on orders for order in range(num_orders): first = self.mct_river_router.order_start_stop[order, 0] last = self.mct_river_router.order_start_stop[order, 1] + # loop on pixels in the order for index in range(first, last): # get pixel ID idpix = self.mct_river_router.pixels_ordered[index] @@ -1281,10 +1312,17 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha # # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') # V11[idpix] = ChanM3MCT0[idpix] # # Set end volume to be the same as initial volume in MCT grid cells ('tanto entra tanto esce') - # #cmcheck - aggiusto il bilancio # V11[idpix] = ChanM3MCT0[idpix] + q01[idpix] + ql[idpix] - q11[idpix] + # #cmcheck + # THIS IS WHERE I DO THE INTEGRATION ON THE CONTROL VOLUME + # calc average discharge outflow q1m for MCT channels during routing sub step dt + # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step + + q1m[idpix] = q0m[idpix] + ql[idpix] + (V00[idpix] - V11[idpix]) / dt + + # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 @@ -1292,33 +1330,50 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,SideflowCha Q11 = self.put_mct_pix(q11) # explode mct pixels to all catchment pixels + # cmcheck + # THIS IS WHERE I UPDATE THE AVERAGE INFLOW FROM UPSTREAM + # Update average contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q1m + # I want to update q0m (avergae inflow at t+1) for cells downstream of this order using the newly calculated q1m, because + # downstream pixels receive outflow from this order and from mct pixels in this order. + # It can be a mix of kinematic and mct pixels. I want to update the contribution from mct pixels + Q1m = self.put_mct_pix(q1m) + # explode mct pixels to all catchment pixels + # combine results in pixels from this order (mct pixels) with results in pixels from upstream orders (kin and mct) # pixels that are not MCT get value zero in Q11 from put_mct_pix (see above) ChanQOut = np.where(Q11 == 0, ChanQOut, Q11) + ChanQOutAvg = np.where(Q1m == 0, ChanQOutAvg, Q1m) # for each pixel in the catchment, calc contribution from upstream pixels # outflow (x+dx) at t+dt for both kin and mct upstream pixels is stored in ChanQOut QupPcr=decompress(ChanQOut) #pcr Qup01=compressArray(upstream(self.var.LddChan,QupPcr)) + # for each pixel in the catchment, calc average contribution from upstream pixels + # average outflow (x+dx) at t+dt for both kin and mct upstream pixels is stored in ChanQOutAvg + QupAvgPcr=decompress(ChanQOutAvg) #pcr + Qup0m=compressArray(upstream(self.var.LddChan,QupAvgPcr)) + + # slice the MCT pixels # Inflow at time t+1 # I(t+dt) # dim=mct pixels q01 = self.get_mct_pix(Qup01) + q0m = self.get_mct_pix(Qup0m) # repeat for next order of pixels - ### end pixels loop ### + ### end order loop - all pixels are calculated ### # explode arrays with MCT results on all catchment pixels ChanQMCTOut = self.put_mct_pix(q11) Cmout = self.put_mct_pix(Cm0) Dmout = self.put_mct_pix(Dm0) ChanM3MCTOut = self.put_mct_pix(V11) - #ChanQMCTOutAve = self.put_mct_pix(qout_ave) + ChanQMCTOutAvg = self.put_mct_pix(q1m) - return ChanQMCTOut, ChanM3MCTOut, Cmout, Dmout + return ChanQMCTOutAvg, ChanQMCTOut, ChanM3MCTOut, Cmout, Dmout def MCTRouting_single(self, V00, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): From edb17887eca253cdc6866b585757c9b6c72fb6e7 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 23 May 2024 10:30:59 +0000 Subject: [PATCH 055/134] Commenting ChanQAvgInDt --- src/lisflood/hydrological_modules/routing.py | 41 +++++++++++--------- 1 file changed, 23 insertions(+), 18 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index a9c7d39d..0cd8087a 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -382,20 +382,25 @@ def initial(self): self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # Initialise instantaneous channel discharge: cold start: equal to ChanQKin [m3/s] - # # cmcheck - deve diventare una variabile di stato + # # cmcheck - deve diventare una variabile di stato - NO NEED!!! # PrevAvgDischarge = loadmap('DischargeMaps') # self.var.ChanQAvgDt = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np - # cmcheck - per adesso - # self.var.ChanQAvgDt = maskinfo.in_zero() - self.var.ChanQAvgDt = self.var.ChanQKin.copy() + + # cmcheck + # initialising the variable + # should initialisation be moved somewhere else? + self.var.ChanQAvgDt = maskinfo.in_zero() + + #self.var.ChanQAvgDt = self.var.ChanQKin.copy() # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) # cmcheck - # THIS NEEDS TO BE MOVED TO INTERNAL LOOP - ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr - self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) - # Initialise average channel inflow (x) from channels for next model computation step (dt) - # Using LddChan here because we need all pixels upstream, kin and mct + # I do not need this.It would be necessary for pixels in order 0, but there is no upstream contribution for pixels in order 0. + # For pixels in order 1 and beyond, upstream contribution needs to be updated during the calculation step. + # ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) + # # Initialise average channel inflow (x) from channels for next model computation step (dt) + # # Using LddChan here because we need all pixels upstream, kin and mct @@ -724,7 +729,7 @@ def dynamic(self, NoRoutingExecuted): # Calculate average outflow using water balance for channel grid cell over sub-routing step # Integration on control volume # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP - self.var.ChanQAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + self.var.ChanQAvgDt = ( SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # + self.var.ChanQAvgInDt # if np.any(self.var.ChanQAvgDt < 0): # print("At least one value is less than 0.") self.var.ChanQAvgDt[self.var.ChanQAvgDt < 0] = 0 @@ -735,11 +740,11 @@ def dynamic(self, NoRoutingExecuted): # # cmcheck # # checking water mass balance on the channel control volume # # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP - # balance = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - ChanQKinOutEnd) + # balance = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - ChanQKinOutEnd) # + self.var.ChanQAvgInDt # # YOU NEED TO REPLACE THIS self.var.ChanQAvgInDt WITH INSTANT INFLOW FROM UPSTREAM CELLS # # IT WORKS FOR HEAD CELLS ONLY # - # balance_avg = np.abs((self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - self.var.ChanQAvgDt) + # balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - self.var.ChanQAvgDt) # + self.var.ChanQAvgInDt # # IT WORKS FOR HEAD CELLS ONLY # # # if balance > 1.e-9: @@ -767,11 +772,11 @@ def dynamic(self, NoRoutingExecuted): # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only - # cmcheck - # # IT WORKS FOR HEAD CELLS ONLY - # Update average channel inflow (x) Qavg for next sub-routing step - ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr - self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) + # # cmcheck + # # # IT WORKS FOR HEAD CELLS ONLY + # # Update average channel inflow (x) Qavg for next sub-routing step + # ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr + # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) self.var.sumDisDay += self.var.ChanQ # # sum of total river outflow on model sub-step @@ -830,7 +835,7 @@ def dynamic(self, NoRoutingExecuted): # Calculate average outflow using water balance for channel grid cell # Integration on control volume # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP - ChanQKinOutAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + ChanQKinOutAvgDt = (SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # + self.var.ChanQAvgInDt # if np.any(self.var.ChanQAvgDt < 0): # print("At least one value is less than 0.") ChanQKinOutAvgDt[ChanQKinOutAvgDt < 0] = 0 From 0f3d73c5fda2481bb53e3475c2745698ded26a2d Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 23 May 2024 11:11:50 +0000 Subject: [PATCH 056/134] Cleaning mct code --- src/lisflood/hydrological_modules/routing.py | 84 +++++++------------- 1 file changed, 29 insertions(+), 55 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 0cd8087a..aa3b9057 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -881,68 +881,36 @@ def dynamic(self, NoRoutingExecuted): # calling MCT routing # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels # using ChanQKinOutAvgDt from kinematic routing to have average outflow from upstream kinematic pixels + # MCT pixels in order 0 can have inflow from kinematic pixels upstream ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3MCTStart) # Average outflow (x+dx) during time dt step (average) q1m # Outflow (x+dx) at time t+dt end of calculation step (instant) q11 # Channel storage at time t+dt end of calculation step (instant) V11 - # mct_balance = np.where(self.var.IsChannelKinematic, 0., (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) - ChanQMCTOutAvgDt - # # cmcheck - # if abs(mct_balance) > 1.e-12: - # print('mct_balance error ',mct_balance) - - # # update input (x) Q at t for next step (instant) q10 -> q00 - # ChanQMCTOutStartPcr = decompress(ChanQMCTOutStart) # pcr - # self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTOutStartPcr)) - # # using LddChan here because we need to input from upstream pixels to include kinematic pixels - # update input (x) Q at t for next step (instant) - # Storing MCT Courant and Reynolds numbers for state files self.var.PrevCm0 = Cmend self.var.PrevDm0 = Dmend - # # cmcheck - # - # # calc average discharge outflow for MCT channels during routing sub step dt - # # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step - # # ChanQMCTAvgDt = (self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting - # ChanQMCTAvgDt = np.where(self.var.IsChannelKinematic, 0., ( - # self.var.ChanQAvgInDt * self.var.DtRouting + SideflowChanMCT * self.var.DtRouting - ChanM3MCTEnd + ChanM3MCTStart) * self.var.InvDtRouting) - # - # # if np.any(self.var.ChanQAvgDt < 0): - # # print("At least one value is less than 0.") - # ChanQMCTAvgDt[ChanQMCTAvgDt < 0] = 0 - # # Average outflow (x+dx) QAvg during routing step (average) - # # Qout_avg = Qin_avg -(Vend - Vini) - - # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) # Outflow (x+dx) Q at the end of computation step t+dt (instant) self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) # Channel storage V at the end of computation step t+dt (instant) - # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt - #cmcheck - # THIS works for head cells only for kinematic + # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt (average) self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinOutAvgDt, ChanQMCTOutAvgDt) # Average channel outflow (x+dx) QAvg during routing step (average) - # update input (x) Q at t for next step (instant) ChanQMCTStartPcr = decompress(self.var.ChanQ) # pcr self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) # using LddChan here because we need to input from upstream pixels to include kinematic pixels - # # Update average channel inflow (x) Qavg for next step - # ChanQAvgInDtPcr = decompress(self.var.ChanQAvgDt) # pcr - # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgInDtPcr)) - self.var.sumDisDay += self.var.ChanQAvgDt # sum of average outflow Q on model sub-steps to give accumulated total outflow volume + # This should NOT be used # self.var.sumDisDay += self.var.ChanQ # sum of total river outflow on model sub-step @@ -1201,8 +1169,9 @@ def SplitRouting(self, SideflowChan): def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3Start): + # (ChanQMCTOutStart,ChanQMCTInStart, ChanQKinOutEnd, ChanQKinOutAvgDt, SideflowChanMCT,ChanM3MCTStart) """This function implements Muskingum-Cunge-Todini routing method - MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. + MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. This is the reason we need both ChanQKinOutEnd and ChanQKinOutAvgDt Function get_mct_pix is used to compress arrays with all river channel pixels to arrays containing MCT pixels only. Function put_mct_pix is used to explode arrays containing MCT pixels only back to arrays containing all rivers pixels. References: @@ -1210,6 +1179,19 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut (Chapter 5) Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 (Appendix B) + + :param ChanQMCTOutStart: outflow at time t (instant) - q10 + :param ChanQMCTInStart: inflow at time t (instant) - q00 + :param ChanQKinOut: outflow from kinematic pixels at time t+dt (instant) -> q01 + :param ChanQKinOutAvgDt: average outflow from kinematic pixels during time dt (average) -> q0m + :param SideflowChanMCT: sideflow [m2/s] + :param ChanM3Start: water volume in the channel at beginning of computation step (t) + :return: + ChanQMCTOutAvg: + ChanQMCTOut: outflow at time t+dt (instant) - q11 + ChanM3MCTOut: average outflow from mct pixels during time dt (average) - q1m + Cmout: Courant number at time t+dt + Dmout: Reynolds number at time t+dt """ # channel geometry - MCT pixels only @@ -1232,12 +1214,11 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # Inflow at time t # I(t) - # calc contribution from upstream pixels at time t (dim=all pixels) + # calc contribution from upstream pixels at time t (instant) (dim=all pixels) q00 = self.get_mct_pix(ChanQMCTInStart) - # channel storage at the beginning of the computation step (t) - # ChanM3MCT0 = self.get_mct_pix(ChanM3Start) + V00 = self.get_mct_pix(ChanM3Start) - # Water volume in the channel at beginning of computation step (and end of previous time step) + # Water volume in the channel at beginning of computation step (t) (and end of previous time step) # Outflow at time t # O(t) @@ -1253,15 +1234,13 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # dim=mct pixels q01 = self.get_mct_pix(ChanQMCTUp1) - # cmcheck - # THIS IS WHERE i NEED TO CALCULATE # calc average discharge from upstream pixels during step dt # First order (aka order 0) of mct pixels have inflow and average inflow from kin pixels only # I have already calculated outflow for all kin pixels for this step ChanQKinOutAvgDtPcr=decompress(ChanQKinOutAvgDt) #pcr ChanQKinOutAvgDtUp1=compressArray(upstream(self.var.LddChan,ChanQKinOutAvgDtPcr)) - # Average Inflow at time dt - # I average (t+dt) + # Average Inflow during time dt + # I average (dt) # dim=mct pixels q0m = self.get_mct_pix(ChanQKinOutAvgDtUp1) @@ -1279,7 +1258,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut ql = self.get_mct_pix(SideflowChanMCT) - ### start pixels loop ### + ### start pixels loop on all mct pixels ### # Pixels in the same order are independent and can be routed in parallel. # Orders must be processed in series, starting from order 0. # Outflow from MCT pixels can only go to a MCT pixel @@ -1288,6 +1267,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut ChanQOutAvg = ChanQKinOutAvgDt.copy() # Initialise outflow (x+dx) at t+dt using outflow from kinematic pixels # Then update outflow from mct pixels as different orders are calculated + # Same for the average outflow num_orders = self.mct_river_router.order_start_stop.shape[0] # loop on orders @@ -1315,28 +1295,23 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # # debug # q11[idpix] = q01[idpix] + ql[idpix] # # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') - # V11[idpix] = ChanM3MCT0[idpix] + # V11[idpix] = V00[idpix] # # Set end volume to be the same as initial volume in MCT grid cells ('tanto entra tanto esce') - # V11[idpix] = ChanM3MCT0[idpix] + q01[idpix] + ql[idpix] - q11[idpix] + # V11[idpix] = V00[idpix] + q01[idpix] + ql[idpix] - q11[idpix] - # #cmcheck - # THIS IS WHERE I DO THE INTEGRATION ON THE CONTROL VOLUME + ### calc integration on the control volume (pixel) # calc average discharge outflow q1m for MCT channels during routing sub step dt # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step - q1m[idpix] = q0m[idpix] + ql[idpix] + (V00[idpix] - V11[idpix]) / dt - # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 # It can be a mix of kinematic and mct pixels. I want to update the contribution from mct pixels Q11 = self.put_mct_pix(q11) # explode mct pixels to all catchment pixels - # cmcheck - # THIS IS WHERE I UPDATE THE AVERAGE INFLOW FROM UPSTREAM # Update average contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q1m # I want to update q0m (avergae inflow at t+1) for cells downstream of this order using the newly calculated q1m, because # downstream pixels receive outflow from this order and from mct pixels in this order. @@ -1359,7 +1334,6 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut QupAvgPcr=decompress(ChanQOutAvg) #pcr Qup0m=compressArray(upstream(self.var.LddChan,QupAvgPcr)) - # slice the MCT pixels # Inflow at time t+1 # I(t+dt) @@ -1369,7 +1343,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # repeat for next order of pixels - ### end order loop - all pixels are calculated ### + ### end order loop - all pixels have been calculated ### # explode arrays with MCT results on all catchment pixels ChanQMCTOut = self.put_mct_pix(q11) From baf178d6352b4d38f60df21c1e88470d757cf1ad Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 24 May 2024 13:48:28 +0000 Subject: [PATCH 057/134] Solving issue with numbe in discharge_avg in solve1pixel --- .../kinematic_wave_parallel_tools.py | 11 ++++++----- .../hydrological_modules/surface_routing.py | 17 ++++++++++------- 2 files changed, 16 insertions(+), 12 deletions(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py index cbc00bf6..27e37d64 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py @@ -97,6 +97,7 @@ def solve1Pixel(pix, discharge_avg, discharge, lateral_inflow, constant,\ for ups_ix in range(num_upstream_pixels[pix]): upstream_inflow += discharge[upstream_lookup[pix,ups_ix]] upstream_inflow_avg += discharge_avg[upstream_lookup[pix, ups_ix]] + const_plus_ups_infl = upstream_inflow + constant[pix] # upstream_inflow + alpha*dx/dt*Qold**beta + dx*specific_lateral_inflow # If old discharge, upstream inflow and lateral inflow are below accuracy: set discharge to 0 and exit if const_plus_ups_infl <= NEWTON_TOL: @@ -122,15 +123,15 @@ def solve1Pixel(pix, discharge_avg, discharge, lateral_inflow, constant,\ if discharge[pix] == NEWTON_TOL: discharge[pix] = 0 - # cmcheck - # avoid negative discharge - if discharge[pix] < 0: - discharge[pix] = 0 # volume of water in channel at end of computation step channel_volume_end = a_dx * discharge[pix]**beta + # mass water balance to calc average outflow - discharge_avg[pix] = upstream_inflow_avg + lateral_inflow + (channel_volume_start - channel_volume_end) * inv_time_delta + discharge_avg[pix] = upstream_inflow_avg + lateral_inflow[pix] + (channel_volume_start[pix] - channel_volume_end[pix]) * inv_time_delta + # avoid negative average discharge + if discharge_avg[pix] < 0: + discharge_avg[pix] = 0 # to simulate inf or nan: discharge[pix] = 1.0/0.0 # with gil: diff --git a/src/lisflood/hydrological_modules/surface_routing.py b/src/lisflood/hydrological_modules/surface_routing.py index e6349801..bb04ba75 100644 --- a/src/lisflood/hydrological_modules/surface_routing.py +++ b/src/lisflood/hydrological_modules/surface_routing.py @@ -94,6 +94,12 @@ def initial(self): self.var.OFQOther = ((self.var.OFM3Other * self.var.InvPixelLength * self.var.InvOFAlpha.values[self.var.dim_runoff[1].index('Other')])**(self.var.InvBeta)).astype(float) self.var.OFQForest = ((self.var.OFM3Forest * self.var.InvPixelLength * self.var.InvOFAlpha.values[self.var.dim_runoff[1].index('Forest')])**(self.var.InvBeta)).astype(float) + # cmcheck + # Initial average overland discharge [m3 s-1] + self.var.OFQDirect_avg = maskinfo.in_zero() + self.var.OFQOther_avg = maskinfo.in_zero() + self.var.OFQForest_avg = maskinfo.in_zero() + def initialSecond(self): """ 2nd initialisation part of the surface routing module: to be called after all needed parameters are set (PixelLength, LddToChan, Alpha...) @@ -148,13 +154,10 @@ def dynamic(self): SideflowOther = np.sum(self.var.SurfaceRunSoil.values[ilusevalues],self.var.SurfaceRunSoil.dims.index("landuse")) * self.var.MMtoM3 * self.var.InvPixelLength * self.var.InvDtSec SideflowForest = self.var.SurfaceRunSoil.values[self.var.epic_settings.soil_uses.index('Forest')] * self.var.MMtoM3 * self.var.InvPixelLength * self.var.InvDtSec # All surface runoff that is generated during current time step added as side flow [m3/s/m pixel-length] - # cmcheck - OFQDirect_avg = 0. - OFQOther_avg = 0. - OFQForest_avg = 0. - self.direct_surface_router.kinematicWaveRouting(OFQDirect_avg,self.var.OFQDirect, SideflowDirect) - self.other_surface_router.kinematicWaveRouting(OFQOther_avg, self.var.OFQOther, SideflowOther) - self.forest_surface_router.kinematicWaveRouting(OFQForest_avg, self.var.OFQForest, SideflowForest) + + self.direct_surface_router.kinematicWaveRouting(self.var.OFQDirect_avg,self.var.OFQDirect, SideflowDirect) + self.other_surface_router.kinematicWaveRouting(self.var.OFQOther_avg, self.var.OFQOther, SideflowOther) + self.forest_surface_router.kinematicWaveRouting(self.var.OFQForest_avg, self.var.OFQForest, SideflowForest) # to PCRASTER From 58688fe0648c75f8d18e5698ed5d4143d36dda23 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 24 May 2024 13:54:36 +0000 Subject: [PATCH 058/134] Comments --- .../hydrological_modules/kinematic_wave_parallel_tools.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py index 27e37d64..bd3d257e 100755 --- a/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py +++ b/src/lisflood/hydrological_modules/kinematic_wave_parallel_tools.py @@ -126,7 +126,7 @@ def solve1Pixel(pix, discharge_avg, discharge, lateral_inflow, constant,\ # volume of water in channel at end of computation step channel_volume_end = a_dx * discharge[pix]**beta - # mass water balance to calc average outflow + # integration on control volume to calc average outflow (channel water mass balance) discharge_avg[pix] = upstream_inflow_avg + lateral_inflow[pix] + (channel_volume_start[pix] - channel_volume_end[pix]) * inv_time_delta # avoid negative average discharge From 228d1fd6b42144f469ca6f080c98f33aa74d73bf Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 24 May 2024 16:15:36 +0000 Subject: [PATCH 059/134] Kinematic and mct routing both using Q from integration on control volume. Tested on single pixel only. --- src/lisflood/hydrological_modules/routing.py | 76 +++++++------------ .../hydrological_modules/surface_routing.py | 22 ++++-- 2 files changed, 42 insertions(+), 56 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index eb288d8a..a7677f0a 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -719,49 +719,28 @@ def dynamic(self, NoRoutingExecuted): # cmcheck ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() - # Outflow (x+dx) at time t beginning of calculation step (instant) + # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step # This is used to calculate inflow from upstream cells + # Average channel inflow (x) at the beginning of calc step dt + ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr + ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) + ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) + + ChanQKinOutEnd_avg, ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) + # Average outflow (x+dx) during calculation step dt (average) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - # This is in fact the same as the average outflow -> from some feature in kinematic routing function - # cmcheck - # Calculate average outflow using water balance for channel grid cell over sub-routing step - # Integration on control volume - # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP - # self.var.ChanQAvgDt = ( SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # + self.var.ChanQAvgInDt - # if np.any(self.var.ChanQAvgDt < 0): - # print("At least one value is less than 0.") - # self.var.ChanQAvgDt[self.var.ChanQAvgDt < 0] = 0 - # Average outflow (x+dx) QAvg during routing step (average) - # Qout_avg = Qin_avg -(Vend - Vstart)/DtRouting - # Qin_avg = Qin_avg_channels + Qin_avg_sideflow - - # # cmcheck - # # checking water mass balance on the channel control volume - # # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP - # balance = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - ChanQKinOutEnd) # + self.var.ChanQAvgInDt - # # YOU NEED TO REPLACE THIS self.var.ChanQAvgInDt WITH INSTANT INFLOW FROM UPSTREAM CELLS - # # IT WORKS FOR HEAD CELLS ONLY - # - # balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting - self.var.ChanQAvgDt) # + self.var.ChanQAvgInDt - # # IT WORKS FOR HEAD CELLS ONLY - # - # # if balance > 1.e-9: - # # print('Balance') - # # print('QChan ', balance) - # # print('Qavg ', balance_avg) - # # if balance_avg > 1.e-9: - # # print('Balance_avg') - # # print('QChan ', balance) - # # print('Qavg ', balance_avg) - # if abs(balance - balance_avg) > 1.e-12: - # print(balance,balance_avg) + balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + ChanQKinInStart_avg - ChanQKinOutEnd_avg) + # mass balance for channel pixel + if balance_avg > 1.e-12: + print('Error in kinematic routing channel mass balance: ', balance_avg) + # updating variables for next routing step @@ -828,24 +807,25 @@ def dynamic(self, NoRoutingExecuted): # Outflow (x+dx) Q at time t beginning of calculation step (instant) # This is used to calculate inflow from upstream cells + # cmcheck + ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() + # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step + # This is used to calculate inflow from upstream cells + + ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr + ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) + # Average channel inflow (x) at the beginning of calc step dt + ChanM3KinStart = self.var.ChanM3.copy() # Channel storage at time t beginning of calculation step (instant) - ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart,SideflowChan) - # Outflow at time t+dt end of calculation step (instant) + ### calling kinematic routing + ChanQKinOutAvgDt, ChanQKinOutEnd, ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) + # Average outflow (x+dx) during calculation step dt (average) + # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - # This is in fact the same as the average outflow -> from some feature in kinematic routing function - # cmcheck - # Calculate average outflow using water balance for channel grid cell - # Integration on control volume - # THIS IS ONLY WORKING FOR HEAD GRID CELLS AND MUST BE MOVED TO INTERNAL LOOP - ChanQKinOutAvgDt = (SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting # + self.var.ChanQAvgInDt - # if np.any(self.var.ChanQAvgDt < 0): - # print("At least one value is less than 0.") - ChanQKinOutAvgDt[ChanQKinOutAvgDt < 0] = 0 - # Average outflow (x+dx) QAvg during sub-routing step (average) - # Qout_avg = Qin_avg -(Vend - Vini) + if (option['SplitRouting']): @@ -883,7 +863,7 @@ def dynamic(self, NoRoutingExecuted): # This is coming from upstream pixels - # calling MCT routing + #### calling MCT routing # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels # using ChanQKinOutAvgDt from kinematic routing to have average outflow from upstream kinematic pixels # MCT pixels in order 0 can have inflow from kinematic pixels upstream diff --git a/src/lisflood/hydrological_modules/surface_routing.py b/src/lisflood/hydrological_modules/surface_routing.py index bb04ba75..986964fb 100644 --- a/src/lisflood/hydrological_modules/surface_routing.py +++ b/src/lisflood/hydrological_modules/surface_routing.py @@ -95,10 +95,11 @@ def initial(self): self.var.OFQForest = ((self.var.OFM3Forest * self.var.InvPixelLength * self.var.InvOFAlpha.values[self.var.dim_runoff[1].index('Forest')])**(self.var.InvBeta)).astype(float) # cmcheck + # do I need to initialise from self.var.OFQDirect? # Initial average overland discharge [m3 s-1] - self.var.OFQDirect_avg = maskinfo.in_zero() - self.var.OFQOther_avg = maskinfo.in_zero() - self.var.OFQForest_avg = maskinfo.in_zero() + self.var.OFQDirectAvg = maskinfo.in_zero() + self.var.OFQOtherAvg = maskinfo.in_zero() + self.var.OFQForestAvg = maskinfo.in_zero() def initialSecond(self): """ 2nd initialisation part of the surface routing module: @@ -155,9 +156,9 @@ def dynamic(self): SideflowForest = self.var.SurfaceRunSoil.values[self.var.epic_settings.soil_uses.index('Forest')] * self.var.MMtoM3 * self.var.InvPixelLength * self.var.InvDtSec # All surface runoff that is generated during current time step added as side flow [m3/s/m pixel-length] - self.direct_surface_router.kinematicWaveRouting(self.var.OFQDirect_avg,self.var.OFQDirect, SideflowDirect) - self.other_surface_router.kinematicWaveRouting(self.var.OFQOther_avg, self.var.OFQOther, SideflowOther) - self.forest_surface_router.kinematicWaveRouting(self.var.OFQForest_avg, self.var.OFQForest, SideflowForest) + self.direct_surface_router.kinematicWaveRouting(self.var.OFQDirectAvg,self.var.OFQDirect, SideflowDirect) + self.other_surface_router.kinematicWaveRouting(self.var.OFQOtherAvg, self.var.OFQOther, SideflowOther) + self.forest_surface_router.kinematicWaveRouting(self.var.OFQForestAvg, self.var.OFQForest, SideflowForest) # to PCRASTER @@ -198,15 +199,20 @@ def dynamic(self): self.var.OFM3Direct = self.var.PixelLength * self.var.OFAlpha.values[self.var.dim_runoff[1].index('Direct')] * self.var.OFQDirect**self.var.Beta self.var.OFM3Other = self.var.PixelLength * self.var.OFAlpha.values[self.var.dim_runoff[1].index('Other')] * self.var.OFQOther**self.var.Beta self.var.OFM3Forest = self.var.PixelLength * self.var.OFAlpha.values[self.var.dim_runoff[1].index('Forest')] * self.var.OFQForest**self.var.Beta + # Overland flow storage for different components at the end of routing step [m3] self.var.Qall = self.var.OFQDirect + self.var.OFQOther + self.var.OFQForest + self.var.QallAvg = self.var.OFQDirectAvg + self.var.OFQOtherAvg + self.var.OFQForestAvg self.var.M3all = self.var.OFM3Direct + self.var.OFM3Other + self.var.OFM3Forest - # Overland flow storage [m3] + # Total overland flow storage [m3] + # cmcheck + # this should be calculated using the average flow + # self.var.OFToChanM3 = np.where(self.var.IsChannel, self.var.QallAvg * self.var.DtSec, 0) self.var.OFToChanM3 = np.where(self.var.IsChannel, self.var.Qall * self.var.DtSec, 0) - # Overland flow in channel pixels (in [m3])is added to channel + self.var.WaterDepth = self.var.M3all * self.var.M3toMM # Update water depth [mm] From 9fd40a4d8a37478377b7e19d2e00b0565c2bf829 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 31 May 2024 13:03:58 +0000 Subject: [PATCH 060/134] commenting mass balance prints --- src/lisflood/hydrological_modules/routing.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index a7677f0a..ef68551e 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -736,10 +736,10 @@ def dynamic(self, NoRoutingExecuted): # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) - balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + ChanQKinInStart_avg - ChanQKinOutEnd_avg) - # mass balance for channel pixel - if balance_avg > 1.e-12: - print('Error in kinematic routing channel mass balance: ', balance_avg) + # balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + ChanQKinInStart_avg - ChanQKinOutEnd_avg) + # # mass balance for channel pixel + # if balance_avg.any() > 1.e-12: + # print('Error in kinematic routing channel mass balance > 1.e-12') @@ -947,11 +947,11 @@ def dynamic(self, NoRoutingExecuted): DischargeM3StructuresR -= self.var.DischargeM3StructuresIni # Total Mass Balance Error in m3 per catchment for Initial Run OR Kinematic routing (Split Routing OFF) - MB =-np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStepM3[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN + # MB =-np.sum(StorageStep)+np.sum(self.var.StorageStepINIT) - OutStepM3[0] -DischargeM3StructuresR[0] +self.var.AddedTRUN - # cmcheck - if MB > 1.e-12: - print('Mass balance error MB=', MB) + # # cmcheck + # if MB.any() > 1.e-12: + # print('Mass balance error MB > 1.e-12') self.var.StorageStepINIT= np.sum(StorageStep) + DischargeM3StructuresR[0] From 0d932f0d62b477031d838f16a8945c854fa75d1f Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 31 May 2024 14:41:43 +0000 Subject: [PATCH 061/134] avoid negative discharge --- src/lisflood/hydrological_modules/routing.py | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index ef68551e..1d691fda 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1289,6 +1289,12 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # calc average discharge outflow q1m for MCT channels during routing sub step dt # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step q1m[idpix] = q0m[idpix] + ql[idpix] + (V00[idpix] - V11[idpix]) / dt + # cmcheck no valori di portata negativi + if q1m[idpix] < 0.: + q1m[idpix] = eps + V11[idpix] = V00[idpix] + (q0m[idpix] + ql[idpix] - q1m[idpix]) * dt + + # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 @@ -1378,7 +1384,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv # check for negative and zero discharge values # zero outflow is not allowed if q11 <= 0: - q11 = eps + q11 = 0 # calc reference discharge at time t # qm0 = (I(t)+O(t))/2 From ef1dfc3a60391fd28f2de7e2447e9279374eb821 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 31 May 2024 16:49:54 +0000 Subject: [PATCH 062/134] q1mm>eps to avoid instability and mass balance errors --- src/lisflood/hydrological_modules/routing.py | 43 ++++++++++++-------- 1 file changed, 26 insertions(+), 17 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 1d691fda..397a7224 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1273,7 +1273,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # q01[idpix] = eps ### calling MCT function for single cell - q11[idpix], V11[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(V00[idpix],q10[idpix], q01[idpix], q00[idpix], ql[idpix], Cm0[idpix], Dm0[idpix], + q11[idpix], V11[idpix],q1m[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(V00[idpix],q10[idpix], q01[idpix], q00[idpix], ql[idpix],q0m[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) # # cmcheck - tanto entra tanto esce @@ -1282,19 +1282,17 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') # V11[idpix] = V00[idpix] # # Set end volume to be the same as initial volume in MCT grid cells ('tanto entra tanto esce') - # V11[idpix] = V00[idpix] + q01[idpix] + ql[idpix] - q11[idpix] - - - ### calc integration on the control volume (pixel) - # calc average discharge outflow q1m for MCT channels during routing sub step dt - # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step - q1m[idpix] = q0m[idpix] + ql[idpix] + (V00[idpix] - V11[idpix]) / dt - # cmcheck no valori di portata negativi - if q1m[idpix] < 0.: - q1m[idpix] = eps - V11[idpix] = V00[idpix] + (q0m[idpix] + ql[idpix] - q1m[idpix]) * dt + # ### calc integration on the control volume (pixel) + # moved to routing_single + # # calc average discharge outflow q1m for MCT channels during routing sub step dt + # # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step + # q1m[idpix] = q0m[idpix] + ql[idpix] + (V00[idpix] - V11[idpix]) / dt + # # cmcheck no valori di portata negativi + # if q1m[idpix] < 0.: + # q1m[idpix] = eps + # V11[idpix] = V00[idpix] + (q0m[idpix] + ql[idpix] - q1m[idpix]) * dt # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 @@ -1346,7 +1344,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut return ChanQMCTOutAvg, ChanQMCTOut, ChanM3MCTOut, Cmout, Dmout - def MCTRouting_single(self, V00, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): + def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): ''' This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. References: @@ -1384,7 +1382,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv # check for negative and zero discharge values # zero outflow is not allowed if q11 <= 0: - q11 = 0 + q11 = eps # calc reference discharge at time t # qm0 = (I(t)+O(t))/2 @@ -1470,11 +1468,22 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql, Cm0, Dm0, dt, xpix, s0, Balv # V11 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! - if (V11 < 0): - V11 = 0. + + ### calc integration on the control volume (pixel) + # calc average discharge outflow q1m for MCT channels during routing sub step dt + # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step + q1mm = q0mm + ql + (V00 - V11) / dt + + # cmcheck + # q1m cannot be too small or it will cause instability + if q1mm < eps: + q1mm = eps + V11 = V00 + (q0mm + ql - q1mm) * dt + + # Outflow at O(t+dt), average outflow in time dt, water volume at t+dt, Courant and Reynolds numbers at t+1 for state files - return q11, V11, Cm1, Dm1 + return q11, V11, q1mm, Cm1, Dm1 def hoq(self,q,s0,Balv,ANalv,Nalv): From a58d403819611cf6b596b3bf2b598c4b79a0e29a Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 31 May 2024 17:30:38 +0000 Subject: [PATCH 063/134] adjusting checks for small q values --- src/lisflood/hydrological_modules/routing.py | 13 +++++++------ 1 file changed, 7 insertions(+), 6 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 397a7224..a1127fb5 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1381,7 +1381,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, # check for negative and zero discharge values # zero outflow is not allowed - if q11 <= 0: + if q11 < eps: # cmcheck <=0 q11 = eps # calc reference discharge at time t @@ -1393,13 +1393,13 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, # reference I discharge at x=0 qmx0 = (q00 + q01) / 2. - if qmx0 == 0: + if qmx0 < eps: # cmcheck ==0 qmx0 = eps hmx0 = self.hoq(qmx0, s0, Balv, ANalv, Nalv) # reference O discharge at x=1 qmx1 = (q10 + q11) / 2. - if qmx1 == 0: + if qmx1 < eps: # cmcheck ==0 qmx1 = eps hmx1 = self.hoq(qmx1, s0,Balv,ANalv,Nalv) @@ -1413,7 +1413,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, # Q(t+dt)=(I(t+dt)+O'(t+dt))/2 qm1 = (q01 + q11) / 2. #cm - if qm1 == 0: + if qm1 < eps: # cmcheck ==0 qm1 = eps #cm hm1 = self.hoq(qm1,s0,Balv,ANalv,Nalv) @@ -1442,7 +1442,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, # Mass balance equation that takes into consideration the lateral flow q11 = c1 * q01 + c2 * q00 + c3 * q10 + c4 * ql - if q11 <= 0.: + if q11 < eps: # cmcheck <=0 q11 = eps #### end of for loop @@ -1475,7 +1475,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, q1mm = q0mm + ql + (V00 - V11) / dt # cmcheck - # q1m cannot be too small or it will cause instability + # q1m cannot be smaller than eps or it will cause instability if q1mm < eps: q1mm = eps V11 = V00 + (q0mm + ql - q1mm) * dt @@ -1486,6 +1486,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, return q11, V11, q1mm, Cm1, Dm1 + def hoq(self,q,s0,Balv,ANalv,Nalv): """Water depth from discharge. Given a generic cross-section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes From 928e5cfc00faa2af96ad0d890a47069590b4607d Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 4 Jun 2024 13:57:22 +0000 Subject: [PATCH 064/134] using Q average for surface routing --- src/lisflood/hydrological_modules/routing.py | 1 + src/lisflood/hydrological_modules/surface_routing.py | 4 ++-- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index a1127fb5..7ad98479 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -1358,6 +1358,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, :param q01: I(t+dt) - inflow (x) at time t+dt :param q00: I(t) - inflow (x) at time t :param ql: lateral flow over time dt [m3/s] + :param q0mm: I - average inflow during step dt :param Cm0: Courant number at time t :param Dm0: Reynolds number at time t :param dt: time interval step diff --git a/src/lisflood/hydrological_modules/surface_routing.py b/src/lisflood/hydrological_modules/surface_routing.py index 986964fb..c736bee2 100644 --- a/src/lisflood/hydrological_modules/surface_routing.py +++ b/src/lisflood/hydrological_modules/surface_routing.py @@ -208,8 +208,8 @@ def dynamic(self): # cmcheck # this should be calculated using the average flow - # self.var.OFToChanM3 = np.where(self.var.IsChannel, self.var.QallAvg * self.var.DtSec, 0) - self.var.OFToChanM3 = np.where(self.var.IsChannel, self.var.Qall * self.var.DtSec, 0) + self.var.OFToChanM3 = np.where(self.var.IsChannel, self.var.QallAvg * self.var.DtSec, 0) + # self.var.OFToChanM3 = np.where(self.var.IsChannel, self.var.Qall * self.var.DtSec, 0) # Overland flow in channel pixels (in [m3])is added to channel From a09bf963f3cf53983d668f74f4a6d10d6d036cb6 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 25 Jun 2024 11:16:28 +0000 Subject: [PATCH 065/134] added dummy variables to split routing --- src/lisflood/hydrological_modules/routing.py | 19 ++++++++++++++----- 1 file changed, 14 insertions(+), 5 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 7ad98479..ef31d162 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -709,9 +709,12 @@ def dynamic(self, NoRoutingExecuted): if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() # Use kinematic routing in all grid cells - # KINEMATIC ROUTING + # KINEMATIC ROUTING ONLY if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): # Using variables ChanQKinOutStart, ChanM3KinEnd and ChanQKinOutEnd for clarity + # Kin routing uses same variable for inputs and outputs. Values are updated during computation of pixels sets, upsttream to downstream. + # #cmcheck is this necessary? + # Kinematic routing ChanQKinOutStart = self.var.ChanQKin.copy() # Outflow (x+dx) at time t beginning of calculation step (instant) @@ -730,19 +733,18 @@ def dynamic(self, NoRoutingExecuted): # Channel storage at time t beginning of calculation step (instant) - ChanQKinOutEnd_avg, ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) # Average outflow (x+dx) during calculation step dt (average) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) + # cmcheck # balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + ChanQKinInStart_avg - ChanQKinOutEnd_avg) # # mass balance for channel pixel # if balance_avg.any() > 1.e-12: # print('Error in kinematic routing channel mass balance > 1.e-12') - # updating variables for next routing step self.var.ChanQKin = ChanQKinOutEnd.copy() # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) @@ -1108,9 +1110,16 @@ def SplitRouting(self, SideflowChan): # a constant amount of water has to be added # -> add QLimit discharge + # cmcheck + # temporary fix to average discharge in kinematic routing + # creating dummy variables + ChanQKinOutStart_avg = self.var.ChanQKin.copy() + Chan2QKinOutStart_avg = self.var.Chan2QKin.copy() + ###### + # --- Main channel routing --- - self.river_router.kinematicWaveRouting(self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + self.river_router.kinematicWaveRouting(ChanQKinOutStart_avg, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") # sef.var.ChanQKin is outflow (x+dx) from main channel at time t in input and at time t+dt in output (instant) self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta # Volume in main channel at end of computation step (at t+dt) (instant) @@ -1125,7 +1134,7 @@ def SplitRouting(self, SideflowChan): # --- Second line channel routing (same channel geometry but increased Manning coeff) --- - self.river_router.kinematicWaveRouting(self.var.Chan2QKin, Sideflow2Chan, "floodplains") + self.river_router.kinematicWaveRouting(Chan2QKinOutStart_avg, self.var.Chan2QKin, Sideflow2Chan, "floodplains") # sef.var.Chan2QKin is (virtual) total outflow (x+dx) at time t in input and at time t+dt in output (instant) # (same channel geometry but using increased Manninig coeff) self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta From c613d315761b26d7057cc8a17d2daa7a58c99e82 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 25 Jun 2024 14:10:22 +0000 Subject: [PATCH 066/134] going back to using self.var variables for kinematic routing --- src/lisflood/hydrological_modules/routing.py | 65 +++++++++++++------- 1 file changed, 43 insertions(+), 22 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index ef31d162..78597bfa 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -390,6 +390,7 @@ def initial(self): # initialising the variable # should initialisation be moved somewhere else? self.var.ChanQAvgDt = maskinfo.in_zero() + self.var.ChanQKinAvgDt = maskinfo.in_zero() #self.var.ChanQAvgDt = self.var.ChanQKin.copy() # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) @@ -721,7 +722,8 @@ def dynamic(self, NoRoutingExecuted): # This is used to calculate inflow from upstream cells # cmcheck - ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() + # ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() + ChanQKinOutStart_avg = self.var.ChanQKinAvgDt.copy() # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step # This is used to calculate inflow from upstream cells @@ -732,8 +734,12 @@ def dynamic(self, NoRoutingExecuted): ChanM3KinStart = self.var.ChanM3Kin.copy() # Channel storage at time t beginning of calculation step (instant) + self.KINRouting(SideflowChan) + # self.var.ChanQKin + # self.var.ChanQKinAvgDt + # self.var.ChanM3Kin - ChanQKinOutEnd_avg, ChanQKinOutEnd,ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) + # ChanQKinOutEnd_avg, ChanQKinOutEnd, ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart, SideflowChan) # Average outflow (x+dx) during calculation step dt (average) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) @@ -745,20 +751,26 @@ def dynamic(self, NoRoutingExecuted): # print('Error in kinematic routing channel mass balance > 1.e-12') - # updating variables for next routing step - self.var.ChanQKin = ChanQKinOutEnd.copy() - # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) - self.var.ChanM3Kin = ChanM3KinEnd.copy() - # Channel storage V at time t+dt (end of calc step) (instant) + # # updating variables for next routing step + # self.var.ChanQKin = ChanQKinOutEnd.copy() + # # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) + # self.var.ChanM3Kin = ChanM3KinEnd.copy() + # # Channel storage V at time t+dt (end of calc step) (instant) + # self.var.ChanQKinAvgDt = ChanQKinOutEnd_avg.copy() + # # Average Outflow (x+dx) Q during computation step dt (average) - self.var.ChanQ = ChanQKinOutEnd.copy() + # self.var.ChanQ = ChanQKinOutEnd.copy() + self.var.ChanQ = self.var.ChanQKin.copy() # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) # same as ChanQKinOutEnd=self.var.ChanQKin for Kinematic routing only - self.var.ChanM3 = ChanM3KinEnd.copy() + # self.var.ChanM3 = ChanM3KinEnd.copy() + self.var.ChanM3 = self.var.ChanM3Kin.copy() # Channel storage V at the end of computation step t+dt for full section (instant) # same as ChanM3KinEnd for Kinematic routing only - self.var.ChanQAvgDt = ChanQKinOutEnd_avg.copy() + # self.var.ChanQAvgDt = ChanQKinOutEnd_avg.copy() + + self.var.ChanQAvgDt = self.var.ChanQKinAvgDt.copy() # Average Outflow (x+dx) Q during computation step dt for full section (instant) # same as ChanQKinOutEnd=self.var.ChanQKin for Kinematic routing only @@ -774,7 +786,7 @@ def dynamic(self, NoRoutingExecuted): # used for calculating average discharge on model time step - # SPLIT ROUTING - no InitLisfllod + # SPLIT ROUTING ONLY - no InitLisfllod if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): self.SplitRouting(SideflowChan) @@ -802,7 +814,7 @@ def dynamic(self, NoRoutingExecuted): # (this needs to be changed in future versions) if not (option['SplitRouting']): - # Kinematic routing + # Kinematic routing (+ MCT) # This is calculated for every grid cell, including MCT grid cells ChanQKinOutStart = self.var.ChanQ.copy() @@ -831,7 +843,7 @@ def dynamic(self, NoRoutingExecuted): if (option['SplitRouting']): - # Split routing + # Split routing (+ MCT) self.SplitRouting(SideflowChan) @@ -1029,7 +1041,8 @@ def dynamic(self, NoRoutingExecuted): # maximum set to 30km/day for 5km cell, is at DtSec/Traveltime=6, is at Traveltime Date: Tue, 25 Jun 2024 14:16:02 +0000 Subject: [PATCH 067/134] commenting code in kinematic routing --- src/lisflood/hydrological_modules/routing.py | 68 +++++++++++--------- 1 file changed, 37 insertions(+), 31 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 78597bfa..5f1f1db9 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -717,22 +717,22 @@ def dynamic(self, NoRoutingExecuted): # #cmcheck is this necessary? # Kinematic routing - ChanQKinOutStart = self.var.ChanQKin.copy() - # Outflow (x+dx) at time t beginning of calculation step (instant) - # This is used to calculate inflow from upstream cells - - # cmcheck - # ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() - ChanQKinOutStart_avg = self.var.ChanQKinAvgDt.copy() - # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step - # This is used to calculate inflow from upstream cells - - # Average channel inflow (x) at the beginning of calc step dt - ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr - ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) - - ChanM3KinStart = self.var.ChanM3Kin.copy() - # Channel storage at time t beginning of calculation step (instant) + # ChanQKinOutStart = self.var.ChanQKin.copy() + # # Outflow (x+dx) at time t beginning of calculation step (instant) + # # This is used to calculate inflow from upstream cells + # + # # cmcheck + # # ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() + # ChanQKinOutStart_avg = self.var.ChanQKinAvgDt.copy() + # # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step + # # This is used to calculate inflow from upstream cells + # + # # Average channel inflow (x) at the beginning of calc step dt + # ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr + # ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) + # + # ChanM3KinStart = self.var.ChanM3Kin.copy() + # # Channel storage at time t beginning of calculation step (instant) self.KINRouting(SideflowChan) # self.var.ChanQKin @@ -817,24 +817,30 @@ def dynamic(self, NoRoutingExecuted): # Kinematic routing (+ MCT) # This is calculated for every grid cell, including MCT grid cells - ChanQKinOutStart = self.var.ChanQ.copy() - # Outflow (x+dx) Q at time t beginning of calculation step (instant) - # This is used to calculate inflow from upstream cells + # ChanQKinOutStart = self.var.ChanQ.copy() + # # Outflow (x+dx) Q at time t beginning of calculation step (instant) + # # This is used to calculate inflow from upstream cells + # + # # cmcheck + # ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() + # # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step + # # This is used to calculate inflow from upstream cells + # + # ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr + # ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) + # # Average channel inflow (x) at the beginning of calc step dt + # + # ChanM3KinStart = self.var.ChanM3.copy() + # # Channel storage at time t beginning of calculation step (instant) - # cmcheck - ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() - # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step - # This is used to calculate inflow from upstream cells - - ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr - ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) - # Average channel inflow (x) at the beginning of calc step dt + ### calling kinematic routing + self.KINRouting(SideflowChan) + # self.var.ChanQKin + # self.var.ChanQKinAvgDt + # self.var.ChanM3Kin - ChanM3KinStart = self.var.ChanM3.copy() - # Channel storage at time t beginning of calculation step (instant) + # ChanQKinOutAvgDt, ChanQKinOutEnd, ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) - ### calling kinematic routing - ChanQKinOutAvgDt, ChanQKinOutEnd, ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) # Average outflow (x+dx) during calculation step dt (average) # Outflow (x+dx) at time t+dt end of calculation step (instant) # Channel storage at time t+dt end of calculation step (instant) From 26be3481b61de1870606b9050e0ebf557372a91f Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 25 Jun 2024 14:22:22 +0000 Subject: [PATCH 068/134] using self.var variables for kinematic routing in MCT --- src/lisflood/hydrological_modules/routing.py | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 5f1f1db9..fc587c5c 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -887,7 +887,8 @@ def dynamic(self, NoRoutingExecuted): # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels # using ChanQKinOutAvgDt from kinematic routing to have average outflow from upstream kinematic pixels # MCT pixels in order 0 can have inflow from kinematic pixels upstream - ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3MCTStart) + # ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3MCTStart) + ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,self.var.ChanQKin,self.var.ChanQKinAvgDt,SideflowChanMCT,ChanM3MCTStart) # Average outflow (x+dx) during time dt step (average) q1m # Outflow (x+dx) at time t+dt end of calculation step (instant) q11 # Channel storage at time t+dt end of calculation step (instant) V11 @@ -898,13 +899,13 @@ def dynamic(self, NoRoutingExecuted): self.var.PrevDm0 = Dmend # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) - self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) + self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQKin, ChanQMCTOutEnd) # Outflow (x+dx) Q at the end of computation step t+dt (instant) - self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) + self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3Kin, ChanM3MCTEnd) # Channel storage V at the end of computation step t+dt (instant) # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt (average) - self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinOutAvgDt, ChanQMCTOutAvgDt) + self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, self.var.ChanQKinAvgDt, ChanQMCTOutAvgDt) # Average channel outflow (x+dx) QAvg during routing step (average) # update input (x) Q at t for next step (instant) From cf8af65746b6e9802cd18d744fe0a1c9430ae8b0 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 26 Jun 2024 10:13:41 +0000 Subject: [PATCH 069/134] cleaned up code for kinematic routing --- src/lisflood/hydrological_modules/routing.py | 109 ++++--------------- 1 file changed, 24 insertions(+), 85 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index fc587c5c..7065f3db 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -712,78 +712,28 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC ROUTING ONLY if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): - # Using variables ChanQKinOutStart, ChanM3KinEnd and ChanQKinOutEnd for clarity - # Kin routing uses same variable for inputs and outputs. Values are updated during computation of pixels sets, upsttream to downstream. - # #cmcheck is this necessary? - - # Kinematic routing - # ChanQKinOutStart = self.var.ChanQKin.copy() - # # Outflow (x+dx) at time t beginning of calculation step (instant) - # # This is used to calculate inflow from upstream cells - # - # # cmcheck - # # ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() - # ChanQKinOutStart_avg = self.var.ChanQKinAvgDt.copy() - # # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step - # # This is used to calculate inflow from upstream cells - # - # # Average channel inflow (x) at the beginning of calc step dt - # ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr - # ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) - # - # ChanM3KinStart = self.var.ChanM3Kin.copy() - # # Channel storage at time t beginning of calculation step (instant) - - self.KINRouting(SideflowChan) - # self.var.ChanQKin - # self.var.ChanQKinAvgDt - # self.var.ChanM3Kin - - # ChanQKinOutEnd_avg, ChanQKinOutEnd, ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart, SideflowChan) - # Average outflow (x+dx) during calculation step dt (average) - # Outflow (x+dx) at time t+dt end of calculation step (instant) - # Channel storage at time t+dt end of calculation step (instant) - - # cmcheck - # balance_avg = np.abs((SideflowChanM3 - ChanM3KinEnd + ChanM3KinStart) * self.var.InvDtRouting + ChanQKinInStart_avg - ChanQKinOutEnd_avg) - # # mass balance for channel pixel - # if balance_avg.any() > 1.e-12: - # print('Error in kinematic routing channel mass balance > 1.e-12') + # Kinematic routing uses same variable for inputs and outputs. Values are updated during computation + # from upsttream to downstream. + self.KinRouting(SideflowChan) - # # updating variables for next routing step - # self.var.ChanQKin = ChanQKinOutEnd.copy() - # # Outflow (x+dx) Q at time t+dt (end of calc step) (instant) - # self.var.ChanM3Kin = ChanM3KinEnd.copy() - # # Channel storage V at time t+dt (end of calc step) (instant) - # self.var.ChanQKinAvgDt = ChanQKinOutEnd_avg.copy() - # # Average Outflow (x+dx) Q during computation step dt (average) + # Updating general variables for channels routing - # self.var.ChanQ = ChanQKinOutEnd.copy() self.var.ChanQ = self.var.ChanQKin.copy() # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) - # same as ChanQKinOutEnd=self.var.ChanQKin for Kinematic routing only - # self.var.ChanM3 = ChanM3KinEnd.copy() + self.var.ChanM3 = self.var.ChanM3Kin.copy() # Channel storage V at the end of computation step t+dt for full section (instant) - # same as ChanM3KinEnd for Kinematic routing only - - # self.var.ChanQAvgDt = ChanQKinOutEnd_avg.copy() self.var.ChanQAvgDt = self.var.ChanQKinAvgDt.copy() # Average Outflow (x+dx) Q during computation step dt for full section (instant) - # same as ChanQKinOutEnd=self.var.ChanQKin for Kinematic routing only - - # # Average channel inflow (x) Qavg for next sub-routing step - # ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr - # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) # self.var.sumDisDay += self.var.ChanQ - # # sum of total river outflow on model sub-step + # sum of river outflow on model sub-steps (instantaneous discharge) self.var.sumDisDay += self.var.ChanQAvgDt - # sum of average river outflow on routing sub-step - # used for calculating average discharge on model time step + # sum of river outflow on model sub-steps (average discharge) + # This is used the average outflow discharge on the model time step # SPLIT ROUTING ONLY - no InitLisfllod @@ -1048,9 +998,8 @@ def dynamic(self, NoRoutingExecuted): # maximum set to 30km/day for 5km cell, is at DtSec/Traveltime=6, is at Traveltime Date: Wed, 26 Jun 2024 11:43:44 +0000 Subject: [PATCH 070/134] cleaned up code for split routing --- src/lisflood/hydrological_modules/routing.py | 63 +++++++++++++------- 1 file changed, 41 insertions(+), 22 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 7065f3db..80710444 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -733,25 +733,30 @@ def dynamic(self, NoRoutingExecuted): self.var.sumDisDay += self.var.ChanQAvgDt # sum of river outflow on model sub-steps (average discharge) - # This is used the average outflow discharge on the model time step + # This is used to calculate the average outflow discharge on the model time step # SPLIT ROUTING ONLY - no InitLisfllod if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): + # Split routing uses same variable for inputs and outputs. Values are updated during computation + # from upsttream to downstream. self.SplitRouting(SideflowChan) # Combine the two lines of routing together + # Updating general variables for channels routing self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - # (real) total outflow (at x + dx) at time t + dt (instant) + # (real) total outflow (at x+dx) at time t+dt end of step for the full cross-section (instant) # Main channel routing and above bankfull routing from second line of routing + self.var.ChanM3 = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second line (Chan2M3Kin - Chan2M3Start) - # at t+dt (instant) + # Total channel storage V at the end of computation step t+dt for full section (instant) self.var.sumDisDay += self.var.ChanQ - # sum of total river outflow on model sub-step + # sum of total river outflow on model sub-step (instantaneous discharge) + # This is used to calculate the average outflow discharge on the model time step # KINEMATIC/SPLIT ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood @@ -1013,7 +1018,9 @@ def KinRouting(self,SideflowChan): self.var.ChanQKin = inflow (at x) from upstream channels at time t+dt [m3/sec] (instant) self.var.ChanQKinAvgDt = average inflow (at x) from upstream channels at time t+dt [m3/sec] (average) SideflowChan = lateral inflow into the channel segment (cell) during dt [m3/channellength/sec] - :returns + :param SideflowChan: side flow contribution from runoff (incl. groundwater), inflow from reservoirs (optional) + and external inflow hydrographs (optional) [m3/s/m] + :return self.var.ChanQKin = outflow (x+dx) at time t+dt (instant) [m3/s] self.var.ChanQKinAvgDt = average outflow (x+dx) at time t+dt (average) [m3/s] self.var.ChanM3Kin = amount of water stored in the channel at time t+dt (instant) [m3] @@ -1039,18 +1046,30 @@ def KinRouting(self,SideflowChan): # Correct for negative discharge at the end of computation step (instant) # Outflow (x+dx) at time t+dt - # This function is returning updated: - # self.var.ChanQKin - # self.var.ChanQKinAvgDt - # self.var.ChanM3Kin - return def SplitRouting(self, SideflowChan): - # River routing is split in two channels: a main channel and a virtual channel representing floodplains (second - # line of routing) + """ + Split routing is based on a 4-point implicit finite-difference numerical solution of the kinematic wave equations. + Split routing uses two lines of routing: a main channel and a virtual channel representing floodplains (second + line of routing). Discharge is routed using the main channel up to QLimit. The second line uses the same channel + geometry as the main channel but different riverbed roughness. + Max discharge in the main channel (QLimit) is used to initialise the second line of routing then it's subtracted + at the end of the computation. + Total river outflow is given by (Q main channel + Q second line - QLimit) + + :param SideflowChan: side flow contribution from runoff (incl. groundwater), inflow from reservoirs (optional) + and external inflow hydrographs (optional) [m3/s/m] + :return: + self.var.ChanQKin: outflow (x+dx) at time t+dt from the main channel (instant) [m3/s] + self.var.ChanM3Kin: amount of water stored in the main channel at time t+dt (instant) [m3] + self.var.Chan2QKin: outflow (x+dx) at time t+dt from the second line channel (including QLimit) (instant) [m3/s] + self.var.Chan2M3Kin: amount of water stored in the second line channel at time t+dt (including self.var.Chan2M3Start) (instant) [m3] + self.var.CrossSection2Area: cross-section area above bankfull for second line of routing at time t+dt (instant) [m2] + """ + # --- Split sideflow between the two lines of routing --- @@ -1061,7 +1080,7 @@ def SplitRouting(self, SideflowChan): # self.var.Sideflow1Chan = np.where(self.var.ChanM3Kin > self.var.M3Limit, SideflowRatio*SideflowChan, SideflowChan) # This is creating instability because ChanM3Kin can be < M3Limit between two routing sub-steps - # TO BY REPLACED WITH THE FOLLOWING + self.var.Sideflow1Chan = np.where( (self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start) > self.var.M3Limit, SideflowRatio * SideflowChan, SideflowChan) @@ -1070,7 +1089,7 @@ def SplitRouting(self, SideflowChan): self.var.Sideflow1Chan = np.where(np.abs(SideflowChan) < 1e-7, SideflowChan, self.var.Sideflow1Chan) # too small values are avoided Sideflow2Chan = SideflowChan - self.var.Sideflow1Chan - # sideflow to the 'floodplains' channel + # sideflow to the 'second line' channel Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength # as kinematic wave gets slower with less water @@ -1078,12 +1097,13 @@ def SplitRouting(self, SideflowChan): # -> add QLimit discharge # cmcheck - # temporary fix to average discharge in kinematic routing + # temporary workaround for average discharge in kinematic routing # creating dummy variables ChanQKinOutStart_avg = self.var.ChanQKin.copy() Chan2QKinOutStart_avg = self.var.Chan2QKin.copy() ###### + # --- Main channel routing --- self.river_router.kinematicWaveRouting(ChanQKinOutStart_avg, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") @@ -1094,12 +1114,12 @@ def SplitRouting(self, SideflowChan): self.var.ChanM3Kin = np.maximum(self.var.ChanM3Kin, 0.0) # Check for negative volumes at the end of computation step in main channel # Volume in main channel at t+dt - self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** ( - self.var.InvBeta) + self.var.ChanQKin = (self.var.ChanM3Kin * self.var.InvChanLength * self.var.InvChannelAlpha) ** (self.var.InvBeta) # Correct negative discharge in main channel at the end of computation step # Outflow (x+dx) at t+dt (instant) - # --- Second line channel routing (same channel geometry but increased Manning coeff) --- + + # --- Second line channel routing (same channel geometry as main channel but increased Manning coeff) --- self.river_router.kinematicWaveRouting(Chan2QKinOutStart_avg, self.var.Chan2QKin, Sideflow2Chan, "floodplains") # sef.var.Chan2QKin is (virtual) total outflow (x+dx) at time t in input and at time t+dt in output (instant) @@ -1108,9 +1128,9 @@ def SplitRouting(self, SideflowChan): # Total (virtual) volume of water in river channel when second routing line is active # (same channel geometry but using increased Manninig coeff) - diffM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start + FldpM3 = self.var.Chan2M3Kin - self.var.Chan2M3Start # Water volume over bankfull - self.var.Chan2M3Kin = np.where(diffM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) + self.var.Chan2M3Kin = np.where(FldpM3 < 0.0, self.var.Chan2M3Start, self.var.Chan2M3Kin) # Check for negative volume over bankfull at the end of routing step for second line of routing # Total (virtual) volume for second line of routing cannot be smaller than the bankfull volume for the second line # of routing aka the bankfull volume calculated with increased Manning coeff (Chan2M3Start) @@ -1118,8 +1138,7 @@ def SplitRouting(self, SideflowChan): self.var.CrossSection2Area = (self.var.Chan2M3Kin - self.var.Chan2M3Start) * self.var.InvChanLength # Compute cross-section area above bankfull for second line of routing - self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** ( - self.var.InvBeta) + self.var.Chan2QKin = (self.var.Chan2M3Kin * self.var.InvChanLength * self.var.InvChannelAlpha2) ** (self.var.InvBeta) # (virtual) total outflow (at x + dx) at time t + dt (instant) for second line of routing (using increased Manninig coeff) # Correct negative discharge at the end of computation step in second line From dea8b0d07162a4fa46328173f21ced9b3fb5ba5d Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 26 Jun 2024 14:31:41 +0000 Subject: [PATCH 071/134] cleaned up code for mct --- src/lisflood/hydrological_modules/routing.py | 164 +++++++++---------- 1 file changed, 74 insertions(+), 90 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 80710444..88eb8af0 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -772,39 +772,29 @@ def dynamic(self, NoRoutingExecuted): # Kinematic routing (+ MCT) # This is calculated for every grid cell, including MCT grid cells - # ChanQKinOutStart = self.var.ChanQ.copy() - # # Outflow (x+dx) Q at time t beginning of calculation step (instant) - # # This is used to calculate inflow from upstream cells - # - # # cmcheck - # ChanQKinOutStart_avg = self.var.ChanQAvgDt.copy() - # # Average outflow (x+dx) at time t beginning of calculation step (average) - end of previous step - # # This is used to calculate inflow from upstream cells - # - # ChanQKinOutStart_avgPcr = decompress(ChanQKinOutStart_avg) # pcr - # ChanQKinInStart_avg = compressArray(upstream(self.var.LddChan, ChanQKinOutStart_avgPcr)) - # # Average channel inflow (x) at the beginning of calc step dt - # - # ChanM3KinStart = self.var.ChanM3.copy() - # # Channel storage at time t beginning of calculation step (instant) - ### calling kinematic routing - self.KINRouting(SideflowChan) + self.KinRouting(SideflowChan) + # self.var.ChanQKin + # Outflow (x+dx) at time t+dt end of calculation step (instant) # self.var.ChanQKinAvgDt - # self.var.ChanM3Kin - - # ChanQKinOutAvgDt, ChanQKinOutEnd, ChanM3KinEnd = self.KINRouting(ChanQKinOutStart_avg,ChanQKinOutStart,SideflowChan) - # Average outflow (x+dx) during calculation step dt (average) - # Outflow (x+dx) at time t+dt end of calculation step (instant) + # self.var.ChanM3Kin # Channel storage at time t+dt end of calculation step (instant) + ChanQKinOutEnd = self.var.ChanQKin.copy() + # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) + ChanM3KinEnd = self.var.ChanM3Kin.copy() + # Channel storage V at the end of computation step t+dt for full section (instant) + + ChanQKinOutAvgDtEnd = self.var.ChanQKinAvgDt.copy() + # Average Outflow (x+dx) Q during computation step dt for full section (instant) if (option['SplitRouting']): # Split routing (+ MCT) + # This is calculated for every grid cell, including MCT grid cells self.SplitRouting(SideflowChan) @@ -820,13 +810,17 @@ def dynamic(self, NoRoutingExecuted): # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second line (Chan2M3Kin - Chan2M3Start) # at t+dt (instant) + # cmcheck - workaround + ChanQKinOutAvgDtEnd = ChanQKinOutEnd.copy() + # MCT routing + # This is calculated for MCT grid cell only ChanQMCTOutStart = self.var.ChanQ.copy() # Outflow (x+dx) at time t (instant) q10 - # debug + # cmcheck - debug # ChanQKinOutEnd[ChanQKinOutEnd != 0] = 0 # Set inflow from kinematic pixels to 1 @@ -839,11 +833,11 @@ def dynamic(self, NoRoutingExecuted): #### calling MCT routing - # using ChanQKinOutEnd from Kinematic routing to have inflow from upstream kinematic pixels - # using ChanQKinOutAvgDt from kinematic routing to have average outflow from upstream kinematic pixels + # using self.var.ChanQKin from Kinematic routing to have inflow from upstream kinematic pixels contributing to MCT pixels + # using self.var.ChanQKinAvgDt from kinematic routing to have average outflow from upstream kinematic pixels contributing to MCT pixels # MCT pixels in order 0 can have inflow from kinematic pixels upstream - # ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3MCTStart) - ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,self.var.ChanQKin,self.var.ChanQKinAvgDt,SideflowChanMCT,ChanM3MCTStart) + + ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDtEnd,SideflowChanMCT,ChanM3MCTStart) # Average outflow (x+dx) during time dt step (average) q1m # Outflow (x+dx) at time t+dt end of calculation step (instant) q11 # Channel storage at time t+dt end of calculation step (instant) V11 @@ -1070,9 +1064,7 @@ def SplitRouting(self, SideflowChan): self.var.CrossSection2Area: cross-section area above bankfull for second line of routing at time t+dt (instant) [m2] """ - # --- Split sideflow between the two lines of routing --- - # Ad SideflowRatio = np.where((self.var.ChanM3Kin + self.var.Chan2M3Kin) > 0, self.var.ChanM3Kin / (self.var.ChanM3Kin + self.var.Chan2M3Kin), 0.0) @@ -1149,7 +1141,6 @@ def SplitRouting(self, SideflowChan): def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3Start): - # (ChanQMCTOutStart,ChanQMCTInStart, ChanQKinOutEnd, ChanQKinOutAvgDt, SideflowChanMCT,ChanM3MCTStart) """This function implements Muskingum-Cunge-Todini routing method MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. This is the reason we need both ChanQKinOutEnd and ChanQKinOutAvgDt Function get_mct_pix is used to compress arrays with all river channel pixels to arrays containing MCT pixels only. @@ -1160,11 +1151,11 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 (Appendix B) - :param ChanQMCTOutStart: outflow at time t (instant) - q10 - :param ChanQMCTInStart: inflow at time t (instant) - q00 + :param ChanQMCTOutStart: computation cell outflow at time t (instant) - q10 + :param ChanQMCTInStart: computation cell inflow at time t (outflow of upstream cells) (instant) - q00 :param ChanQKinOut: outflow from kinematic pixels at time t+dt (instant) -> q01 :param ChanQKinOutAvgDt: average outflow from kinematic pixels during time dt (average) -> q0m - :param SideflowChanMCT: sideflow [m2/s] + :param SideflowChanMCT: sideflow contribution to the computation cell [m2/s] :param ChanM3Start: water volume in the channel at beginning of computation step (t) :return: ChanQMCTOutAvg: @@ -1267,29 +1258,15 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut # if q01[idpix] == 0: # q01[idpix] = eps - ### calling MCT function for single cell + ### calling MCT function for single cell idpx q11[idpix], V11[idpix],q1m[idpix], Cm0[idpix], Dm0[idpix] = self.MCTRouting_single(V00[idpix],q10[idpix], q01[idpix], q00[idpix], ql[idpix],q0m[idpix], Cm0[idpix], Dm0[idpix], dt, xpix[idpix], s0[idpix], Balv[idpix], ANalv[idpix], Nalv[idpix]) - - # # cmcheck - tanto entra tanto esce - # # debug + # # debug - cmcheck - tanto entra tanto esce # q11[idpix] = q01[idpix] + ql[idpix] # # Set outflow to be the same as inflow in MCT grid cells ('tanto entra tanto esce') # V11[idpix] = V00[idpix] # # Set end volume to be the same as initial volume in MCT grid cells ('tanto entra tanto esce') - - # ### calc integration on the control volume (pixel) - # moved to routing_single - # # calc average discharge outflow q1m for MCT channels during routing sub step dt - # # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step - # q1m[idpix] = q0m[idpix] + ql[idpix] + (V00[idpix] - V11[idpix]) / dt - # # cmcheck no valori di portata negativi - # if q1m[idpix] < 0.: - # q1m[idpix] = eps - # V11[idpix] = V00[idpix] + (q0m[idpix] + ql[idpix] - q1m[idpix]) * dt - - # Update contribution from upstream pixels at time t+1 (dim=all pixels) using the newly calculated q11 # I want to update q01 (inflow at t+1) for cells downstream of idpix using the newly calculated q11 # It can be a mix of kinematic and mct pixels. I want to update the contribution from mct pixels @@ -1340,7 +1317,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): - ''' + """ This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. References: Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. @@ -1367,7 +1344,7 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, V11: channel storage volume at t+dt Cm1: Courant number at t+1 for state file Dm1: Reynolds number at t+1 for state file - ''' + """ eps = 1e-06 @@ -1443,13 +1420,11 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, #### end of for loop - # # cmcheck # calc_t = xpix / ck1 # if calc_t < dt: # print('xpix/ck1 < dt') - k1 = dt / Cm1 x1 = (1. - Dm1) / 2. @@ -1463,8 +1438,6 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, V11 = (1-Dm1)*dt/(2*Cm1)*q01 + (1+Dm1)*dt/(2*Cm1)*q11 # V11 = k1 * (x1 * q01 + (1. - x1) * q11) # MUST be the same as above! - - ### calc integration on the control volume (pixel) # calc average discharge outflow q1m for MCT channels during routing sub step dt # Calculate average outflow using water balance for MCT channel grid cell over sub-routing step @@ -1476,30 +1449,31 @@ def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, q1mm = eps V11 = V00 + (q0mm + ql - q1mm) * dt - - - # Outflow at O(t+dt), average outflow in time dt, water volume at t+dt, Courant and Reynolds numbers at t+1 for state files + # q11 Outflow at O(t+dt) + # q1m average outflow in time dt + # V11 water volume at t+dt + # Cm1 Courant number at t+dt for state files + # Dm1 Reynolds numbers at t+dt for state files return q11, V11, q1mm, Cm1, Dm1 def hoq(self,q,s0,Balv,ANalv,Nalv): - """Water depth from discharge. + """Water depth h from discharge q. Given a generic cross-section (rectangular, triangular or trapezoidal) and a steady-state discharge q=Q*, it computes water depth (y), wet contour (Bx), wet area (Ax) and wave celerity (cel) using Newton-Raphson method. Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 - Parameters: - q: steady-state discharge river discharge [m3/s] - s0: river bed slope (tan B) - Balv : width of the riverbed [m] - ChanSdXdY : slope dx/dy of riverbed side - ANalv : angle of the riverbed side [rad] - Nalv : channel mannings coefficient n for the riverbed [s/m1/3] + :param q: steady-state river discharge [m3/s] + :param s0: river bed slope (tan B) + :param Balv : width of the riverbed [m] + :param ChanSdXdY : slope dx/dy of riverbed side + :param ANalv : angle of the riverbed side [rad] + :param Nalv : channel mannings coefficient n for the riverbed [s/m1/3] - :returns + :return: y: water depth referred to the bottom of the riverbed [m] """ @@ -1561,7 +1535,7 @@ def hoq(self,q,s0,Balv,ANalv,Nalv): def qoh(self,y,s0,Balv,ANalv,Nalv): - """ Discharge from water depth. + """ Discharge q from water depth h. Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water depth (y [m]) referred to the bottom of the riverbed, it uses Manning’s formula to calculate: q: steady-state discharge river discharge [m3/s] @@ -1569,17 +1543,14 @@ def qoh(self,y,s0,Balv,ANalv,Nalv): b: cross-section width at water surface [m] p: cross-section wet contour [m] cel: wave celerity [m/s] - - Parameters: - y: river water depth [m] - s0: river bed slope (tan B) - Balv : width of the riverbed [m] - ChanSdXdY : slope dx/dy of riverbed side - ANalv : angle of the riverbed side [rad] - Nalv : channel mannings coefficient n for the riverbed [s/m1/3] - Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + :param y: river water depth [m] + :param s0: river bed slope (tan B) + :param Balv : width of the riverbed [m] + :param ANalv : angle of the riverbed side [rad] + :param Nalv : channel mannings coefficient n for the riverbed [s/m1/3] + :return: q,a,b,p,cel """ @@ -1613,16 +1584,16 @@ def qoh(self,y,s0,Balv,ANalv,Nalv): def hoV(self,V,xpix,Balv,ANalv): - """Water depth from volume. - Given a generic river cross-section (rectangular, triangular and trapezoidal) and a volume V, + """Water depth h from volume V. + Given a generic river cross-section (rectangular, triangular and trapezoidal) and a river channel volume V, it calculates the water depth referred to the bottom of the riverbed [m] (y). - Takes: - V : volume of water in channel riverbed - xpix : dimension along the flow direction [m] - Balv : width of the riverbed [m] - ANalv : angle of the riverbed side [rad] - Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + + :param V : volume of water in channel riverbed + :param xpix : dimension along the flow direction [m] + :param Balv : width of the riverbed [m] + :param ANalv : angle of the riverbed side [rad] + :return: y : channel water depth [m] """ @@ -1645,9 +1616,20 @@ def hoV(self,V,xpix,Balv,ANalv): def qoV(self,V,xpix,s0,Balv,ANalv,Nalv): - """ Discharge from volume. + """ Discharge q from river channel volume V. Given a generic river cross-section (rectangular, triangular and trapezoidal) and a water volume (V [m3]), it uses Manning’s formula to calculate the corresponding discharge (q [m3/s]). + Reference: Reggiani, P., Todini, E., & Meißner, D. (2016). On mass and momentum conservation in the variable-parameter Muskingum method. Journal of Hydrology, 543, 562–576. https://doi.org/10.1016/j.jhydrol.2016.10.030 + + :param V : volume of water in channel riverbed + :param xpix : dimension along the flow direction [m] + :param s0: river bed slope (tan B) + :param Balv : width of the riverbed [m] + :param ANalv : angle of the riverbed side [rad] + :param Nalv : channel mannings coefficient n for the riverbed [s/m1/3] + + :return: + y : channel water depth [m] """ y = self.hoV(V,xpix,Balv,ANalv) q, a, b, p, cel = self.qoh(y,s0,Balv,ANalv,Nalv) @@ -1661,10 +1643,11 @@ def cotan(self,x): def get_mct_pix(self,var): """Compress to mct array. - For any array (var) with all catchment pixels, it masks the MCT pixels (x) and + For any array (var) with all catchment pixels, it finds the MCT pixels (x) and reduces the dimension of the array (y). + :param var: array (dimension is the number of cells in the basin) :return: - y: same as input array (var) but only MCT pixels + y: same as input array (var) but with only MCT pixels """ x = np.ma.masked_where(self.var.IsChannelKinematic,var) y = x.compressed() @@ -1675,9 +1658,10 @@ def get_mct_pix(self,var): def put_mct_pix(self,var): """Explode mct array. For any array (var) with MCT pixels only, it explodes the dimension to all catchment pixels and puts - values from array var in the corresponting MCT pixels. + values from array var in the corresponding MCT pixels. Pixels not belonging to MCT get value equal to zero. - Uses self.var.IsChannelKinematic to define MCT pixels + Uses self.var.IsChannelKinematic to define MCT pixels. + :param var: array (dimension is the number of MCT cells) :return: y: same as input array (var) but only all pixels """ From 3c4c517c96ea0b648cb82a2b7297e4c2dd39c896 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Wed, 26 Jun 2024 15:31:09 +0000 Subject: [PATCH 072/134] fixed output for split routing + mct --- src/lisflood/hydrological_modules/routing.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 88eb8af0..327f223c 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -848,13 +848,13 @@ def dynamic(self, NoRoutingExecuted): self.var.PrevDm0 = Dmend # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) - self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQKin, ChanQMCTOutEnd) + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) # Outflow (x+dx) Q at the end of computation step t+dt (instant) - self.var.ChanM3 = np.where(self.var.IsChannelKinematic, self.var.ChanM3Kin, ChanM3MCTEnd) + self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) # Channel storage V at the end of computation step t+dt (instant) # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt (average) - self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, self.var.ChanQKinAvgDt, ChanQMCTOutAvgDt) + self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinOutAvgDtEnd, ChanQMCTOutAvgDt) # Average channel outflow (x+dx) QAvg during routing step (average) # update input (x) Q at t for next step (instant) From fb3f4c67b2db8f0dae3df3495e396b23d0e24b02 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 27 Jun 2024 11:51:26 +0000 Subject: [PATCH 073/134] comments and clean up for routing --- src/lisflood/hydrological_modules/routing.py | 232 ++++++++----------- 1 file changed, 102 insertions(+), 130 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 327f223c..eeda9fcf 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -68,16 +68,16 @@ def initial(self): maskinfo = MaskInfo.instance() # ************************************************************ - # ***** ROUTING COMPUTATION STEPS ********************* + # ***** NUMBER OF ROUTING STEPS ********************* # ************************************************************ self.var.NoRoutSteps = int(np.maximum(1, round(self.var.DtSec / self.var.DtSecChannel,0))) - # Number of routing sub-steps based on value of DtSecChannel, - # or 1 if DtSec is smaller than DtSecChannel + # Number of routing sub-steps based on value of DtSecChannel or 1 if DtSec is smaller than DtSecChannel + if option['InitLisflood']: self.var.NoRoutSteps = 1 - # InitLisflood is used! - # so channel routing step is the same as the general time step + # InitLisflood is used! so channel routing step is the same as the general time step + self.var.DtRouting = self.var.DtSec / self.var.NoRoutSteps # Corresponding routing sub-timestep (seconds) self.var.InvDtRouting = 1 / self.var.DtRouting @@ -99,19 +99,17 @@ def initial(self): self.var.UpArea = accuflux(self.var.Ldd, self.var.PixelAreaPcr) #pcr # Upstream contributing area for each pixel - # Note that you might expect that values of UpArea would be identical to - # those of variable CatchArea (see below) at the outflow points. - # This is NOT actually the case, because outflow points are shifted 1 + # Note that you might expect that values of UpArea would be identical to those of variable CatchArea (see below) + # at the outflow points. This is NOT actually the case, because outflow points are shifted 1. # cell in upstream direction in the calculation of CatchArea! self.var.InvUpArea = 1 / self.var.UpArea #pcr # Count (inverse of) upstream area for each pixel - # Needed if we want to calculate average values of variables - # upstream of gauge locations + # Needed if we want to calculate average values of variables upstream of gauge locations # Calculate inverse, so we can multiply in dynamic (faster than divide) - self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr map - self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool - self.var.IsChannelPcr = boolean(decompress(self.var.IsChannel)) #pcr + self.var.IsChannelPcr = boolean(loadmap('Channels', pcr=True)) #pcr + self.var.IsChannel = np.bool8(compressArray(self.var.IsChannelPcr)) #bool + self.var.IsChannelPcr = boolean(decompress(self.var.IsChannel)) #pcr # Identify grid cells containing a river channel self.var.IsChannelKinematic = self.var.IsChannel.copy() #bool @@ -120,18 +118,18 @@ def initial(self): self.var.IsStructureChan = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the - # channel routing. Set to (dummy) value of zero modified in reservoir and lake - # routines (if those are used) + # channel routing. Set to (dummy) value of zero modified in reservoirs and lakes functions (if those are used) self.var.IsStructureKinematic = np.bool8(maskinfo.in_zero()) #bool # Initialise map that identifies special inflow/outflow structures (reservoirs, lakes) within the - # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoir and lake - # routines (if those are used) + # kinematic wave channel routing. Set to (dummy) value of zero modified in reservoirs and lakes functions + # (if those are used) self.var.LddChan = lddmask(self.var.Ldd, self.var.IsChannelPcr) #pcr self.var.LddChanNp=compressArray(self.var.LddChan) #np # LDD for channel network (excluding grid cells that do not have a channel) # It is the same as Ldd if there is a channel on every grid cell + # We need a channel on each grid cell now but this could change in the future self.var.LddToChan = lddrepair(ifthenelse(self.var.IsChannelPcr, 5, self.var.Ldd)) #pcr self.var.LddToChanNp=compressArray(self.var.LddToChan) #np @@ -171,13 +169,13 @@ def initial(self): self.var.LddKinematicNp = compressArray(self.var.LddKinematic) # np self.var.AtLastPoint = boolean(pit(self.var.Ldd)) #pcr - # assign True to each of the grid cells where there are outlet points - # Function 'pit' assignes a unique number starting from 1 to pit cells (ldd=5) in the Ldd + # Assign True to each of the grid cells where there are outlet points + # Function 'pit' assigns a unique number starting from 1 to pit cells (ldd=5) in the Ldd self.var.AtLastPointC = np.bool8(compressArray(self.var.AtLastPoint)) #np lddC = compressArray(self.var.LddChan) #np inAr = decompress(np.arange(maskinfo.info.mapC[0], dtype="int32")) #pcr - # giving a number to each non-missing pixel as cell id, starting from 0 + # Assign a number to each non-missing pixel as cell id, starting from 0 self.var.downstruct = (compressArray(downstream(self.var.LddChan, inAr))).astype("int32") #np # each upstream pixel gets the id of the downstream pixel @@ -207,11 +205,11 @@ def initial(self): self.var.ChanGrad = np.maximum(loadmap('ChanGrad'), loadmap('ChanGradMin')) # River bed slope # Avoid calculation of Alpha using ChanGrad=0: this creates MV! - # Set minimum channel slope in rivers + # Set minimum channel slope in rivers (ChanGradMin) self.var.CalChanMan = loadmap('CalChanMan') self.var.ChanMan = self.var.CalChanMan * loadmap('ChanMan') - # Manning's rougthness coefficient n is multiplied by ChanManCal for calibration + # Manning's roughtness coefficient n is multiplied by ChanManCal for calibration self.var.ChanBottomWidth = loadmap('ChanBottomWidth') # Riverbed width [m] @@ -220,19 +218,16 @@ def initial(self): self.var.ChanSdXdY = loadmap('ChanSdXdY') # Riverbed sides slope - #######################cm # self.var.ChanSdXdY = maskinfo.in_zero() # rectangular cross-section # self.var.ChanBottomWidth = maskinfo.in_zero() # triangular cross-section - #######################cm self.var.ChanUpperWidth = self.var.ChanBottomWidth + 2 * self.var.ChanSdXdY * ChanDepthThreshold # Channel upper width [m] self.var.TotalCrossSectionAreaBankFull = 0.5 * \ ChanDepthThreshold * (self.var.ChanUpperWidth + self.var.ChanBottomWidth) - # Area (sq m) of bank full discharge cross section [m2] - # (trapezoid area equation) + # Area (sq m) of bank full discharge cross-section [m2] (trapezoid area equation) - #cmcheck - TotalCrossSectionAreaHalfBankFull is not 1/2 TotalCrossSectionAreaBankFull it's trapezoid + # cmcheck - TotalCrossSectionAreaHalfBankFull is not 1/2 TotalCrossSectionAreaBankFull it's trapezoid # ChanUpperWidthHalfBankFull = self.var.ChanBottomWidth + 2 * self.var.ChanSdXdY * 0.5 * ChanDepthThreshold # TotalCrossSectionAreaHalfBankFull = 0.5 * \ # 0.5 * ChanDepthThreshold * (ChanUpperWidthHalfBankFull + self.var.ChanBottomWidth) @@ -248,8 +243,8 @@ def initial(self): if option['SplitRouting']: CrossSection2AreaInitValue = loadmap('CrossSection2AreaInitValue') self.var.CrossSection2Area = np.where(CrossSection2AreaInitValue == -9999, maskinfo.in_zero(), CrossSection2AreaInitValue) - # cross-sectional area [m2] for 2nd line of routing (over bankfull only): if initial value in binding equals -9999 the value is set to 0 - # otherwise CrossSection2AreaInitValue (typically end map from previous simulation) + # cross-sectional area [m2] for 2nd line of routing (over bankfull only): if initial value in binding equals + # -9999 the value is set to 0 otherwise CrossSection2AreaInitValue (typically end map from previous simulation) PrevSideflowInitValue = loadmap('PrevSideflowInitValue') self.var.Sideflow1Chan = np.where(PrevSideflowInitValue == -9999, maskinfo.in_zero(), PrevSideflowInitValue) @@ -257,9 +252,8 @@ def initial(self): # otherwise PrevSideflowInitValue (typically end map from previous simulation) # ************************************************************ - # ***** CHANNEL ALPHA (KIN. WAVE)***************************** + # ***** CHANNEL ALPHA (KIN. WAVE) **************************** # ************************************************************ - # Manning's steady state flow equations # from Ven The Chow - Applied Hydrology - page 283 # https: // wecivilengineers.files.wordpress.com / 2017 / 10 / applied - hydrology - ven - te - chow.pdf @@ -275,9 +269,8 @@ def initial(self): self.var.InvChanLength = 1 / self.var.ChanLength # Inverse of channel length [1/m] - # Following calculations are needed to calculate Alpha parameter in kinematic - # wave. Alpha currently fixed at half of bankfull depth (this may change in - # future versions!) + # Following calculations are needed to calculate Alpha parameter in kinewave. + # Alpha currently fixed at half of bankfull depth (this may change in future versions!) ChanWaterDepthAlpha = np.where(self.var.IsChannel, 0.5 * ChanDepthThreshold, 0.0) # Reference water depth for calculation of Alpha: half of bankfull @@ -303,8 +296,7 @@ def initial(self): # Initialise water volume in kinematic wave channels [m3] self.var.ChanQKin = np.where(self.var.ChannelAlpha > 0, (self.var.TotalCrossSectionArea / self.var.ChannelAlpha) ** self.var.InvBeta, 0).astype(float) - # Initialise discharge at kinematic wave pixels (note that InvBeta is - # simply 1/beta, computational efficiency!) + # Initialise discharge at kinematic wave pixels (note that InvBeta is simply 1/beta, computational efficiency!) self.var.CumQ = maskinfo.in_zero() # Initialise sum of discharge to calculate average @@ -377,32 +369,19 @@ def initial(self): # For all routing options (kinematic, split and MCT) PrevDischarge = loadmap('PrevDischarge') # Outflow (x+dx) Q at the end of previous computation step for full cross-section (instant) - # Here it becomes Outflow (x+dx) Q at the beginning of the computation step (t) for full section (instant) - # Used to calculated Inflow (x) from upstream pixels at the beginning of the computation step (t) + # Used to calculated Inflow (x) from upstream pixels at the beginning of the computation step self.var.ChanQ = np.where(PrevDischarge == -9999, self.var.ChanQKin, PrevDischarge) #np # Initialise instantaneous channel discharge: cold start: equal to ChanQKin [m3/s] - # # cmcheck - deve diventare una variabile di stato - NO NEED!!! - # PrevAvgDischarge = loadmap('DischargeMaps') - # self.var.ChanQAvgDt = np.where(PrevAvgDischarge == -9999, maskinfo.in_zero(), PrevAvgDischarge) #np - # cmcheck # initialising the variable # should initialisation be moved somewhere else? self.var.ChanQAvgDt = maskinfo.in_zero() self.var.ChanQKinAvgDt = maskinfo.in_zero() - #self.var.ChanQAvgDt = self.var.ChanQKin.copy() - # Initialise average channel outflow (x+dx) from channels during previous model computation step (dt) - - # cmcheck - # I do not need this.It would be necessary for pixels in order 0, but there is no upstream contribution for pixels in order 0. - # For pixels in order 1 and beyond, upstream contribution needs to be updated during the calculation step. - # ChanQAvgDtPcr = decompress(self.var.ChanQAvgDt) # pcr - # self.var.ChanQAvgInDt = compressArray(upstream(self.var.LddChan, ChanQAvgDtPcr)) - # # Initialise average channel inflow (x) from channels for next model computation step (dt) - # # Using LddChan here because we need all pixels upstream, kin and mct - + # I do not need a state file to initialise the average outflow discharge (ChanQAvgDt and ChanQKinAvgDt). + # Initialisation would be necessary for pixels in order 0, but there is no upstream contribution for pixels in order 0. + # For pixels in order 1 and beyond, upstream contribution is calculated during the calculation step. # ************************************************************ @@ -410,10 +389,11 @@ def initial(self): # ************************************************************ # Initialising cumulative output variables self.var.avgdis = maskinfo.in_zero() + # average discharge over the simulation period # These are all needed to compute the cumulative mass balance error self.var.DischargeM3Out = maskinfo.in_zero() - # Cumulative discharge volume at outlet [m3] + # Cumulative outflow volume at outlet [m3] self.var.TotalQInM3 = maskinfo.in_zero() # Cumulative inflow volume from inflow hydrographs [m3] self.var.sumDis = maskinfo.in_zero() @@ -423,7 +403,7 @@ def initial(self): def initialSecond(self): - """ initial part of the second channel routing module + """ initial part of the second line channel routing module for split routing """ settings = LisSettings.instance() option = settings.options @@ -439,8 +419,10 @@ def initialSecond(self): # ************************************************************ if option['SplitRouting']: + # calculate kin wave parameters for the (virtual) channel of the second line of routing + ChanMan2 = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') - # Manning's rougthness coefficient n for second line of routing + # Manning's roughtness coefficient n for second line of routing AlpTermChan2 = (ChanMan2 / (np.sqrt(self.var.ChanGrad))) ** self.var.Beta self.var.ChannelAlpha2 = (AlpTermChan2 * (self.var.ChanWettedPerimeterAlpha ** self.var.AlpPow)).astype(float) #cmcheck -> using channel wetted perimeter of half bankfull ChanWettedPerimeterAlpha ? @@ -453,17 +435,17 @@ def initialSecond(self): # ************************************************************ # Over bankful discharge starts at QLimit # lower discharge limit for second line of routing - # set to mutiple of average discharge (map from prerun) + # set to multiple of average discharge (map from prerun) # QSplitMult =2 is around 90 to 95% of Q self.var.QLimit = loadmap_base('AvgDis') * loadmap('QSplitMult') - # Using loadmap_base function as we don't want to cache avgdis it in the calibration + # Using loadmap_base function as we don't want to cache avgdis in the calibration self.var.M3Limit = self.var.ChannelAlpha * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) # Water volume in bankful when over bankful discharge starts # Manning's equation self.var.Chan2M3Start = self.var.ChannelAlpha2 * self.var.ChanLength * (self.var.QLimit ** self.var.Beta) - # virtual (note we use ChannelAlpha2 now) amount of water in the main channel at the activation of second line of routing 'floodplains' (=> start using increased Manning coeff 2) + # Virtual (note we use ChannelAlpha2 now) amount of water in the main channel at the activation of second line of routing 'floodplains' (=> start using increased Manning coeff 2) self.var.Chan2QStart = self.var.QLimit - compressArray(upstream(self.var.LddKinematic, decompress(self.var.QLimit))) # Virtual outflow from main channel at the activation of second line of routing (=> start using increased Manning coeff 2) # Because kinematic routing with a low amount of discharge leads to long travel time: @@ -501,7 +483,7 @@ def initialSecond(self): # Calculate initial water storage in rivers (no lakes no reservoirs) # self.var.StorageStepINIT= self.var.ChanM3Kin self.var.StorageStepINIT = self.var.ChanM3 - # Water volume in river channels + # Initial water volume in river channels self.var.DischargeM3StructuresIni = maskinfo.in_zero() if option['simulateReservoirs']: self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 @@ -514,24 +496,24 @@ def initialSecond(self): # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) DisStructure = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) if not(option['SplitRouting']): - # self.var.StorageStepINIT = self.var.ChanM3Kin - # self.var.StorageStepINIT = self.var.ChanM3 - if option['simulateReservoirs']: - self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) - DisStructure = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) - if option['simulateLakes']: - self.var.StorageStepINIT += self.var.LakeStorageIniM3 - DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) - self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) + # self.var.StorageStepINIT = self.var.ChanM3Kin + # self.var.StorageStepINIT = self.var.ChanM3 + if option['simulateReservoirs']: + self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + # DisStructure = np.where(self.var.IsUpsOfStructureKinematicC, self.var.ChanQ * self.var.DtRouting, 0) + DisStructure = np.where(self.var.IsUpsOfStructureChanC, self.var.ChanQ * self.var.DtRouting, 0) + if option['simulateLakes']: + self.var.StorageStepINIT += self.var.LakeStorageIniM3 + DisStructure += np.where(compressArray(self.var.IsUpsOfStructureLake), 0.5 * self.var.ChanQ * self.var.DtRouting, 0) + self.var.DischargeM3StructuresIni = np.take(np.bincount(self.var.Catchments, weights=DisStructure), self.var.Catchments) else: - # self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start - # self.var.StorageStepINIT = self.var.ChanM3 - if option['simulateReservoirs']: - self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 - if option['simulateLakes']: - self.var.StorageStepINIT += self.var.LakeStorageIniM3 - self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) + # self.var.StorageStepINIT= self.var.ChanM3Kin+self.var.Chan2M3Kin-self.var.Chan2M3Start + # self.var.StorageStepINIT = self.var.ChanM3 + if option['simulateReservoirs']: + self.var.StorageStepINIT += self.var.ReservoirStorageIniM3 + if option['simulateLakes']: + self.var.StorageStepINIT += self.var.LakeStorageIniM3 + self.var.StorageStepINIT = np.take(np.bincount(self.var.Catchments, weights=self.var.StorageStepINIT), self.var.Catchments) def initialMCT(self): """ initial part of the Muskingum-Cunge-Todini routing module @@ -548,17 +530,15 @@ def initialMCT(self): # ***** INITIALISATION FOR MCT ROUTING ************ # ************************************************************ if option['MCTRouting']: + maskinfo = MaskInfo.instance() - # maskinfo = MaskInfo.instance() - # mapnp.mask = maskinfo.info.mask - - self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr + self.var.IsChannelMCTPcr = boolean(loadmap('ChannelsMCT', pcr=True)) #pcr self.var.IsChannelMCT = np.bool8(compressArray(self.var.IsChannelMCTPcr)) #bool - self.var.IsChannelMCTPcr = boolean(decompress(self.var.IsChannelMCT)) # pcr + self.var.IsChannelMCTPcr = boolean(decompress(self.var.IsChannelMCT)) # pcr # Identify channel pixels where Muskingum-Cunge-Todini is used self.var.mctmask = np.bool8(pcr2numpy(self.var.IsChannelMCTPcr,0)) - # Mask with cells using MCT + # Create a mask with cells using MCT self.var.IsChannelKinematicPcr = (self.var.IsChannelPcr == 1) & (self.var.IsChannelMCTPcr == 0) #pcr self.var.IsChannelKinematic = np.bool8(compressArray(self.var.IsChannelKinematicPcr)) #np @@ -579,8 +559,6 @@ def initialMCT(self): self.var.ChanGrad[MCT_slope_mask] = ChanGradMaxMCT # set max channel slope for MCT pixels - maskinfo = MaskInfo.instance() - # cmcheck # Initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT at previouse step @@ -588,7 +566,7 @@ def initialMCT(self): # MCT inflow (x) to MCT pixel at time t0 #cmcheck - # this is probable not necessary, I can use ChanQ + # this is probably not necessary, I can use ChanQ PrevQMCTout = loadmap('PrevQMCToutInitValue') # instant output discharge for MCT at previous step self.var.PrevQMCTout = np.where(PrevQMCTout == -9999, maskinfo.in_zero(), PrevQMCTout) #np # MCT outflow (x+dx) from MCT pixel at time t0 @@ -596,9 +574,6 @@ def initialMCT(self): self.var.ChanQ = np.where(self.var.IsChannelKinematic, self.var.ChanQ, self.var.PrevQMCTout) # Initialise instantaneous outflow for kinematic and MCT grid cells at previous time step t0 (q10) - # #cmcheck - # self.var.ChanQAvgDt is average outflow during previous step and it is initialised with kinematic routing - PrevCmMCT = loadmap('PrevCmMCTInitValue') self.var.PrevCm0 = np.where(PrevCmMCT == -9999, maskinfo.in_one(), PrevCmMCT) #np # Courant numnber (Cm) for MCT at previous time step t0 @@ -612,7 +587,6 @@ def initialMCT(self): # ************************************************************ self.mct_river_router = mctWave(self.get_mct_pix(compressArray(self.var.LddMCT)), self.var.mctmask) - # -------------------------------------------------------------------------- # -------------------------------------------------------------------------- @@ -710,14 +684,14 @@ def dynamic(self, NoRoutingExecuted): if option['InitLisflood']: self.var.IsChannelKinematic = self.var.IsChannel.copy() # Use kinematic routing in all grid cells - # KINEMATIC ROUTING ONLY + # KINEMATIC ROUTING ONLY - InitLisflood if option['InitLisflood'] or (not(option['SplitRouting']) and (not(option['MCTRouting']))): - # Kinematic routing uses same variable for inputs and outputs. Values are updated during computation - # from upsttream to downstream. + # Kinematic routing uses the same variables for inputs and outputs. Values are updated during computation + # from upstream to downstream. self.KinRouting(SideflowChan) - # Updating general variables for channels routing + # Store results to general variables for channels routing self.var.ChanQ = self.var.ChanQKin.copy() # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) @@ -736,15 +710,15 @@ def dynamic(self, NoRoutingExecuted): # This is used to calculate the average outflow discharge on the model time step - # SPLIT ROUTING ONLY - no InitLisfllod + # SPLIT ROUTING ONLY - no InitLisflood if not option['InitLisflood'] and option['SplitRouting'] and not(option['MCTRouting']): - # Split routing uses same variable for inputs and outputs. Values are updated during computation - # from upsttream to downstream. + # Split routing uses the same variables for inputs and outputs. Values are updated during computation + # from upstream to downstream. self.SplitRouting(SideflowChan) # Combine the two lines of routing together - # Updating general variables for channels routing + # Store results to general variables for channels routing self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) # (real) total outflow (at x+dx) at time t+dt end of step for the full cross-section (instant) @@ -760,12 +734,12 @@ def dynamic(self, NoRoutingExecuted): # KINEMATIC/SPLIT ROUTING AND MUSKINGUM-CUNGE-TODINI - no InitLisflood - # if not option['InitLisflood'] and (not(option['SplitRouting']) and (option['MCTRouting'])): if not option['InitLisflood'] and option['MCTRouting']: - # To parallelise routing, pixels are grouped by orders. Pixels in the same order are independent and can be routed in parallel. - # Same order can have both Kin and MCT pixels - # Kinematic routing is solved first to generate input to MCT grid cells - # Kinematic routing is solved on all pixels (including MCT pixels) because we need input from upstream Kin pixels to MCT + # To parallelise the routing, pixels are grouped by orders. Pixels in the same order are independent and + # routing can be solved in parallel. + # The same order can have both Kin and MCT pixels. + # First, Kinematic routing is solved on all pixels (including MCT pixels) to generate the inputs to the + # MCT grid cells downstream (MCT needs input from upstream kinematic pixels). # (this needs to be changed in future versions) if not (option['SplitRouting']): @@ -775,12 +749,9 @@ def dynamic(self, NoRoutingExecuted): ### calling kinematic routing self.KinRouting(SideflowChan) - # self.var.ChanQKin - # Outflow (x+dx) at time t+dt end of calculation step (instant) - # self.var.ChanQKinAvgDt - # Average outflow (x+dx) during calculation step dt (average) - # self.var.ChanM3Kin - # Channel storage at time t+dt end of calculation step (instant) + # saving outputs to be used as inputs for MCT routing + # Do not use self.var.ChanQ and self.var.ChanM3 because they store the output of MCT and it must + # not be over-written by the output of the kinematic routing. ChanQKinOutEnd = self.var.ChanQKin.copy() # Outflow (x+dx) Q at the end of computation step t+dt for full section (instant) @@ -796,26 +767,29 @@ def dynamic(self, NoRoutingExecuted): # Split routing (+ MCT) # This is calculated for every grid cell, including MCT grid cells + ### calling split routing self.SplitRouting(SideflowChan) # Combine the two lines of routing together + # Saving outputs to be used as inputs for MCT routing + # Do not use self.var.ChanQ and self.var.ChanM3 because they store the output of MCT and it must + # not be over-written by the output of the split routing. - # self.var.ChanQ = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) ChanQKinOutEnd = np.maximum(self.var.ChanQKin + self.var.Chan2QKin - self.var.QLimit, 0) - # (real) total outflow (at x + dx) at time t + dt (instant) + # (real) Total outflow (at x + dx) at time t + dt (instant) # Main channel routing and above bankfull routing from second line of routing - # self.var.ChanM3 = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start ChanM3KinEnd = self.var.ChanM3Kin + self.var.Chan2M3Kin - self.var.Chan2M3Start - # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second line (Chan2M3Kin - Chan2M3Start) - # at t+dt (instant) + # (real) Total channel storage (at x + dx) at time t + dt (instant) + # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second + # line (Chan2M3Kin - Chan2M3Start) # cmcheck - workaround ChanQKinOutAvgDtEnd = ChanQKinOutEnd.copy() # MCT routing - # This is calculated for MCT grid cell only + # This is calculated for MCT grid cell only but takes the output of kinematic or split routing ChanQMCTOutStart = self.var.ChanQ.copy() # Outflow (x+dx) at time t (instant) q10 @@ -831,36 +805,32 @@ def dynamic(self, NoRoutingExecuted): # Inflow (x) at time t instant (instant) q00 # This is coming from upstream pixels - #### calling MCT routing - # using self.var.ChanQKin from Kinematic routing to have inflow from upstream kinematic pixels contributing to MCT pixels - # using self.var.ChanQKinAvgDt from kinematic routing to have average outflow from upstream kinematic pixels contributing to MCT pixels - # MCT pixels in order 0 can have inflow from kinematic pixels upstream - + # Using ChanQKinOutEnd and ChanQKinOutAvgDtEnd as inputs to receive inflow from upstream kinematic/split + # routing pixels that are contributing to MCT pixels ChanQMCTOutAvgDt,ChanQMCTOutEnd,ChanM3MCTEnd,Cmend, Dmend = self.MCTRoutingLoop(ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOutEnd,ChanQKinOutAvgDtEnd,SideflowChanMCT,ChanM3MCTStart) # Average outflow (x+dx) during time dt step (average) q1m # Outflow (x+dx) at time t+dt end of calculation step (instant) q11 # Channel storage at time t+dt end of calculation step (instant) V11 - # Storing MCT Courant and Reynolds numbers for state files self.var.PrevCm0 = Cmend self.var.PrevDm0 = Dmend - # combine results from Kinematic and MCT pixels at x+dx t+dt (instant) + # combine results from Kinematic and MCT pixels + # Store results to general variables for channels routing + self.var.ChanQ = np.where(self.var.IsChannelKinematic, ChanQKinOutEnd, ChanQMCTOutEnd) # Outflow (x+dx) Q at the end of computation step t+dt (instant) self.var.ChanM3 = np.where(self.var.IsChannelKinematic, ChanM3KinEnd, ChanM3MCTEnd) # Channel storage V at the end of computation step t+dt (instant) - - # combine results from Kinematic and MCT pixels average outflow during routing sub-step dt (average) self.var.ChanQAvgDt = np.where(self.var.IsChannelKinematic, ChanQKinOutAvgDtEnd, ChanQMCTOutAvgDt) # Average channel outflow (x+dx) QAvg during routing step (average) # update input (x) Q at t for next step (instant) ChanQMCTStartPcr = decompress(self.var.ChanQ) # pcr self.var.PrevQMCTin = compressArray(upstream(self.var.LddChan, ChanQMCTStartPcr)) - # using LddChan here because we need to input from upstream pixels to include kinematic pixels + # using LddChan here because we need to include the input from upstream kinematic pixels self.var.sumDisDay += self.var.ChanQAvgDt # sum of average outflow Q on model sub-steps to give accumulated total outflow volume @@ -869,6 +839,7 @@ def dynamic(self, NoRoutingExecuted): # self.var.sumDisDay += self.var.ChanQ # sum of total river outflow on model sub-step + ### end of river routing calculation # ---- Uncomment lines 603-635 in order to compute the mass balance error within the routing module for the options (i) initial run or (ii) split routing off ---- #''' @@ -1012,6 +983,7 @@ def KinRouting(self,SideflowChan): self.var.ChanQKin = inflow (at x) from upstream channels at time t+dt [m3/sec] (instant) self.var.ChanQKinAvgDt = average inflow (at x) from upstream channels at time t+dt [m3/sec] (average) SideflowChan = lateral inflow into the channel segment (cell) during dt [m3/channellength/sec] + :param SideflowChan: side flow contribution from runoff (incl. groundwater), inflow from reservoirs (optional) and external inflow hydrographs (optional) [m3/s/m] :return @@ -1084,8 +1056,7 @@ def SplitRouting(self, SideflowChan): # sideflow to the 'second line' channel Sideflow2Chan = Sideflow2Chan + self.var.Chan2QStart * self.var.InvChanLength - # as kinematic wave gets slower with less water - # a constant amount of water has to be added + # as kinematic wave gets slower with less water a constant amount of water has to be added # -> add QLimit discharge # cmcheck @@ -1142,7 +1113,8 @@ def SplitRouting(self, SideflowChan): def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOutAvgDt,SideflowChanMCT,ChanM3Start): """This function implements Muskingum-Cunge-Todini routing method - MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. This is the reason we need both ChanQKinOutEnd and ChanQKinOutAvgDt + MCT routing is calculated on MCT pixels only but gets inflow from both KIN and MCT upstream pixels. This is the + reason we need both ChanQKinOutEnd and ChanQKinOutAvgDt as inputs. Function get_mct_pix is used to compress arrays with all river channel pixels to arrays containing MCT pixels only. Function put_mct_pix is used to explode arrays containing MCT pixels only back to arrays containing all rivers pixels. References: @@ -1318,7 +1290,7 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut def MCTRouting_single(self, V00, q10, q01, q00, ql,q0mm, Cm0, Dm0, dt, xpix, s0, Balv, ANalv, Nalv): """ - This function implements Muskingum-Cunge-Todini routing method for a single channel pixel. + This function implements Muskingum-Cunge-Todini routing method for a single pixel. References: Todini, E. (2007). A mass conservative and water storage consistent variable parameter Muskingum-Cunge approach. Hydrol. Earth Syst. Sci. (Chapter 5) @@ -1689,7 +1661,6 @@ class mctWave: def __init__(self, compressed_encoded_ldd, land_mask): """""" - # Process flow direction matrix: downstream and upstream lookups, and routing orders flow_dir = decodeFlowMatrix(rebuildFlowMatrix(compressed_encoded_ldd, land_mask)) self.downstream_lookup, self.upstream_lookup = streamLookups(flow_dir, land_mask) @@ -1705,6 +1676,7 @@ def _setMCTRoutingOrders(self): Environmental Modelling & Software 51, 221-227. Order MAX is given to pixels with no downstream relations (outlets); order MAX-1 is given to pixels whose downstream pixels are all of order MAX; and so on.""" + ocean_topo_distance = topoDistFromSea(self.downstream_lookup, self.upstream_lookup) routing_order = ocean_topo_distance.max() - ocean_topo_distance self.pixels_ordered = pd.DataFrame({"pixels": np.arange(routing_order.size), "order": routing_order}) From c5e61bc9bdf5141a6a830d4a4fbccb3a694ce980 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Thu, 27 Jun 2024 15:52:01 +0000 Subject: [PATCH 074/134] Calculating average outflow discharge in split routing --- src/lisflood/hydrological_modules/routing.py | 25 +++++++++++++++++--- 1 file changed, 22 insertions(+), 3 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index eeda9fcf..96c70f8b 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -379,6 +379,9 @@ def initial(self): self.var.ChanQAvgDt = maskinfo.in_zero() self.var.ChanQKinAvgDt = maskinfo.in_zero() + # cmcheck + self.var.Chan2QKinAvgDt = maskinfo.in_zero() + # I do not need a state file to initialise the average outflow discharge (ChanQAvgDt and ChanQKinAvgDt). # Initialisation would be necessary for pixels in order 0, but there is no upstream contribution for pixels in order 0. # For pixels in order 1 and beyond, upstream contribution is calculated during the calculation step. @@ -728,7 +731,17 @@ def dynamic(self, NoRoutingExecuted): # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second line (Chan2M3Kin - Chan2M3Start) # Total channel storage V at the end of computation step t+dt for full section (instant) - self.var.sumDisDay += self.var.ChanQ + # cmcheck + self.var.ChanQAvgDt = np.maximum(self.var.ChanQKinAvgDt + self.var.Chan2QKinAvgDt - self.var.QLimit, 0) + # (real) total outflow (at x+dx) at time t+dt end of step for the full cross-section (instant) + # Main channel routing and above bankfull routing from second line of routing + + # cmcheck + # self.var.sumDisDay += self.var.ChanQ + # sum of total river outflow on model sub-step (instantaneous discharge) + # This is used to calculate the average outflow discharge on the model time step + + self.var.sumDisDay += self.var.ChanQAvgDt # sum of total river outflow on model sub-step (instantaneous discharge) # This is used to calculate the average outflow discharge on the model time step @@ -1069,7 +1082,10 @@ def SplitRouting(self, SideflowChan): # --- Main channel routing --- - self.river_router.kinematicWaveRouting(ChanQKinOutStart_avg, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + # cmcheck + self.river_router.kinematicWaveRouting(self.var.ChanQKinAvgDt, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") + + # self.river_router.kinematicWaveRouting(ChanQKinOutStart_avg, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") # sef.var.ChanQKin is outflow (x+dx) from main channel at time t in input and at time t+dt in output (instant) self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta # Volume in main channel at end of computation step (at t+dt) (instant) @@ -1084,7 +1100,10 @@ def SplitRouting(self, SideflowChan): # --- Second line channel routing (same channel geometry as main channel but increased Manning coeff) --- - self.river_router.kinematicWaveRouting(Chan2QKinOutStart_avg, self.var.Chan2QKin, Sideflow2Chan, "floodplains") + # cmcheck + self.river_router.kinematicWaveRouting(self.var.Chan2QKinAvgDt, self.var.Chan2QKin, Sideflow2Chan, "floodplains") + + # self.river_router.kinematicWaveRouting(Chan2QKinOutStart_avg, self.var.Chan2QKin, Sideflow2Chan, "floodplains") # sef.var.Chan2QKin is (virtual) total outflow (x+dx) at time t in input and at time t+dt in output (instant) # (same channel geometry but using increased Manninig coeff) self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta From 350b01fb1345261d3b1af429cf82aefb5e31bcc7 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Fri, 28 Jun 2024 13:38:59 +0000 Subject: [PATCH 075/134] removed workaround on ChanQAvgDt for split routing --- src/lisflood/hydrological_modules/routing.py | 17 ++++++++--------- 1 file changed, 8 insertions(+), 9 deletions(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index 96c70f8b..ae83a845 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -739,7 +739,6 @@ def dynamic(self, NoRoutingExecuted): # cmcheck # self.var.sumDisDay += self.var.ChanQ # sum of total river outflow on model sub-step (instantaneous discharge) - # This is used to calculate the average outflow discharge on the model time step self.var.sumDisDay += self.var.ChanQAvgDt # sum of total river outflow on model sub-step (instantaneous discharge) @@ -797,8 +796,10 @@ def dynamic(self, NoRoutingExecuted): # Total channel storage [m3] = Volume in main channel (ChanM3Kin) + volume above bankfull in second # line (Chan2M3Kin - Chan2M3Start) - # cmcheck - workaround - ChanQKinOutAvgDtEnd = ChanQKinOutEnd.copy() + # cmcheck + self.var.ChanQAvgDt = np.maximum(self.var.ChanQKinAvgDt + self.var.Chan2QKinAvgDt - self.var.QLimit,0) + # (real) total outflow (at x+dx) at time t+dt end of step for the full cross-section (instant) + # Main channel routing and above bankfull routing from second line of routing # MCT routing @@ -1075,8 +1076,8 @@ def SplitRouting(self, SideflowChan): # cmcheck # temporary workaround for average discharge in kinematic routing # creating dummy variables - ChanQKinOutStart_avg = self.var.ChanQKin.copy() - Chan2QKinOutStart_avg = self.var.Chan2QKin.copy() + # ChanQKinOutStart_avg = self.var.ChanQKin.copy() + # Chan2QKinOutStart_avg = self.var.Chan2QKin.copy() ###### @@ -1084,9 +1085,8 @@ def SplitRouting(self, SideflowChan): # cmcheck self.river_router.kinematicWaveRouting(self.var.ChanQKinAvgDt, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") - - # self.river_router.kinematicWaveRouting(ChanQKinOutStart_avg, self.var.ChanQKin, self.var.Sideflow1Chan, "main_channel") # sef.var.ChanQKin is outflow (x+dx) from main channel at time t in input and at time t+dt in output (instant) + # sef.var.ChanQKinAvgDt is average outflow (x+dx) from main channel during time dt (average) self.var.ChanM3Kin = self.var.ChanLength * self.var.ChannelAlpha * self.var.ChanQKin ** self.var.Beta # Volume in main channel at end of computation step (at t+dt) (instant) @@ -1102,10 +1102,9 @@ def SplitRouting(self, SideflowChan): # cmcheck self.river_router.kinematicWaveRouting(self.var.Chan2QKinAvgDt, self.var.Chan2QKin, Sideflow2Chan, "floodplains") - - # self.river_router.kinematicWaveRouting(Chan2QKinOutStart_avg, self.var.Chan2QKin, Sideflow2Chan, "floodplains") # sef.var.Chan2QKin is (virtual) total outflow (x+dx) at time t in input and at time t+dt in output (instant) # (same channel geometry but using increased Manninig coeff) + # sef.var.Chan2QKinAvgDt is (virtual) average total outflow (x+dx) from second line channel during time dt (average) self.var.Chan2M3Kin = self.var.ChanLength * self.var.ChannelAlpha2 * self.var.Chan2QKin ** self.var.Beta # Total (virtual) volume of water in river channel when second routing line is active # (same channel geometry but using increased Manninig coeff) From 47c31a3d9db57a05f0ad3ecbe2aca6ee08067912 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Mon, 1 Jul 2024 16:20:56 +0000 Subject: [PATCH 076/134] Using chanman2 for MCT routing (same as split routing) --- src/lisflood/hydrological_modules/routing.py | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index ae83a845..ab4ee579 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -562,6 +562,12 @@ def initialMCT(self): self.var.ChanGrad[MCT_slope_mask] = ChanGradMaxMCT # set max channel slope for MCT pixels + # cmcheck + # This could become a calibration parameter if we want to use MCT+SplitRouting + self.var.ChanManMCT = (self.var.ChanMan / self.var.CalChanMan) * loadmap('CalChanMan2') + # Mannings coefficient for MCT pixels (same as second line of split routing) + + # cmcheck # Initialisation for MCT routing PrevQMCTin = loadmap('PrevQMCTinInitValue') # instant input discharge for MCT at previouse step @@ -1160,7 +1166,8 @@ def MCTRoutingLoop(self,ChanQMCTOutStart,ChanQMCTInStart,ChanQKinOut,ChanQKinOut s0 = self.get_mct_pix(self.var.ChanGrad) # river bed slope (tan B) Balv = self.get_mct_pix(self.var.ChanBottomWidth) # width of the riverbed [m] ChanSdXdY = self.get_mct_pix(self.var.ChanSdXdY) # slope dx/dy of riverbed side - Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + # Nalv = self.get_mct_pix(self.var.ChanMan) # channel mannings coefficient n for the riverbed [s/m1/3] + Nalv = self.get_mct_pix(self.var.ChanManMCT) # channel mannings coefficient n for the riverbed [s/m1/3] ANalv = np.arctan(1/ChanSdXdY) # angle of the riverbed side [rad] dt = self.var.DtSecChannel # computation time step for channel [s] From d9ffade744cb5f7a04b53c490c54a20e9f13477f Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Mon, 1 Jul 2024 16:35:22 +0000 Subject: [PATCH 077/134] Fixed eror in split routing+MCT, now using ChanQKinOutAvgDtEnd as input to MCT --- src/lisflood/hydrological_modules/routing.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/lisflood/hydrological_modules/routing.py b/src/lisflood/hydrological_modules/routing.py index ab4ee579..c3c4b5c2 100644 --- a/src/lisflood/hydrological_modules/routing.py +++ b/src/lisflood/hydrological_modules/routing.py @@ -803,7 +803,7 @@ def dynamic(self, NoRoutingExecuted): # line (Chan2M3Kin - Chan2M3Start) # cmcheck - self.var.ChanQAvgDt = np.maximum(self.var.ChanQKinAvgDt + self.var.Chan2QKinAvgDt - self.var.QLimit,0) + ChanQKinOutAvgDtEnd = np.maximum(self.var.ChanQKinAvgDt + self.var.Chan2QKinAvgDt - self.var.QLimit,0) # (real) total outflow (at x+dx) at time t+dt end of step for the full cross-section (instant) # Main channel routing and above bankfull routing from second line of routing From ee694fc20dd5a4d2550abcd14da5c9f092ef6af1 Mon Sep 17 00:00:00 2001 From: Cinzia Mazzetti Date: Tue, 2 Jul 2024 16:02:50 +0000 Subject: [PATCH 078/134] Added dynamic inflow test for MCT routing --- .../data/LF_MCT_UseCase/maps/ad_dis_nat_10.nc | Bin 0 -> 16011 bytes tests/data/LF_MCT_UseCase/maps/ad_gwbodies.nc | Bin 0 -> 16640 bytes .../maps/ad_irrigation_efficiency_baseline.nc | Bin 0 -> 9803 bytes tests/data/LF_MCT_UseCase/maps/ad_leakage.nc | Bin 0 -> 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b/tests/data/LF_MCT_UseCase/maps/tables/riceflooding.txt new file mode 100644 index 00000000..f39fbd81 --- /dev/null +++ b/tests/data/LF_MCT_UseCase/maps/tables/riceflooding.txt @@ -0,0 +1,3 @@ +<,121> 0 +[121,131> 5 +[131,> 0 diff --git a/tests/data/LF_MCT_UseCase/maps/tables/riceoperation.txt b/tests/data/LF_MCT_UseCase/maps/tables/riceoperation.txt new file mode 100644 index 00000000..51ca58cb --- /dev/null +++ b/tests/data/LF_MCT_UseCase/maps/tables/riceoperation.txt @@ -0,0 +1,3 @@ +<,131> 0 +[131,221> 1 +[221,> 0 diff --git a/tests/data/LF_MCT_UseCase/maps/tables/ricesaturation.txt b/tests/data/LF_MCT_UseCase/maps/tables/ricesaturation.txt new file mode 100644 index 00000000..a22d2c38 --- /dev/null +++ b/tests/data/LF_MCT_UseCase/maps/tables/ricesaturation.txt @@ -0,0 +1,4 @@ +<,110> 0 +[110,111> 1 +[111,121> 2 +[121,> 0 diff --git a/tests/data/LF_MCT_UseCase/maps/tables/rminq.txt b/tests/data/LF_MCT_UseCase/maps/tables/rminq.txt new file mode 100644 index 00000000..12c93345 --- 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