def set_parameters( self, tr_soil_out, V0_soil, beta_soil_out, ETV1, fETV0, meltrate, snow_melt_temp, ): """ Creates all connections with the parameter values produced by the sampling algorithm. """ # Get all definition from the init method p = self.project c = p[0] outlet = self.outlet soil = c.layers[0] # Adjustment of the ET c.set_uptakestress(cmf.VolumeStress(ETV1, ETV1 * fETV0)) # Flux from soil to outlet cmf.kinematic_wave(soil, outlet, tr_soil_out / V0_soil, V0=V0_soil, exponent=beta_soil_out) # # Set parameters of the snow calculations cmf.Weather.set_snow_threshold(snow_melt_temp) cmf.SimpleTindexSnowMelt(c.snow, soil, c, rate=meltrate)
def create_connections(self): # Route snow melt to surface cmf.SimpleTindexSnowMelt(self.cell.snow, self.cell.surfacewater, rate=7) # Infiltration cmf.SimpleInfiltration(self.soil, self.cell.surfacewater, W0=0.8) # Route infiltration / saturation excess to outlet cmf.WaterBalanceFlux(self.cell.surfacewater, self.outlet) # Parameterize soil water capacity self.soil.soil.porosity = 0.2 C = self.soil.get_capacity() # Parameterize water stress function self.cell.set_uptakestress(cmf.VolumeStress(0.2 * C, 0 * C)) cmf.TurcET(self.soil, self.cell.transpiration) # Route water from soil to gw cmf.PowerLawConnection(self.soil, self.gw, Q0=self.mm_to_m3(50), V0=0.5 * C, beta=4) # Route water from gw to outlet cmf.LinearStorageConnection(self.gw, self.outlet, residencetime=20, residual=0 * C)
def set_parameters(self): """ Sets the parameters for a cell instance :param par: Object with all parameters :return: None """ c = self.cell out = self.outlet # Fill in some water c.layers[0].volume = 296.726 / 1000 * self.area * 1e6 c.layers[1].volume = 77.053 / 1000 * self.area * 1e6 # Scale to the cellsize V0_L1 = (185.524 / 1000) * self.area * 1e6 V0_L2 = (150.623 / 1000) * self.area * 1e6 # Set uptake stress ETV1 = 0.145 * V0_L1 ETV0 = 0.434 * ETV1 c.set_uptakestress(cmf.VolumeStress(ETV1, ETV0)) # Connect layer and outlet cmf.PowerLawConnection(c.layers[0], out, Q0=V0_L1 / 48.823, V0=V0_L1, beta=2.949) cmf.PowerLawConnection(c.layers[0], c.layers[1], Q0=(V0_L1 / 3.198), V0=V0_L1, beta=3.743) cmf.PowerLawConnection(c.layers[1], out, Q0=V0_L2 / 162.507, V0=V0_L2, beta=1.081) # Snow cmf.SimpleTindexSnowMelt(c.snow, c.layers[0], c, rate=3.957) cmf.Weather.set_snow_threshold(3.209) # Split the rainfall in interception and throughfall cmf.Rainfall(c.canopy, c, False, True) cmf.Rainfall(c.surfacewater, c, True, False) # Make an overflow for the interception storage cmf.RutterInterception(c.canopy, c.surfacewater, c) # Transpiration from the plants is added cmf.CanopyStorageEvaporation(c.canopy, c.evaporation, c) # Sets the paramaters for interception c.vegetation.LAI = 9.852 # Defines how much throughfall there is (in %) c.vegetation.CanopyClosure = 0.603
def set_parameters(self, par): """ Sets the parameters for a cell instance :param par: Object with all parameters :return: None """ c = self.cell out = self.outlet # Scale to the cellsize V0_L1 = (par.V0_L1 / 1000) * self.area * 1e6 V0_L2 = (par.V0_L2 / 1000) * self.area * 1e6 # Set uptake stress ETV1 = par.fETV1 * V0_L1 ETV0 = par.fETV0 * ETV1 c.set_uptakestress(cmf.VolumeStress(ETV1, ETV0)) # Connect layer and outlet cmf.PowerLawConnection(c.layers[0], out, Q0=V0_L1 / par.tr_L1_out, V0=V0_L1, beta=par.beta_L1_out) cmf.PowerLawConnection(c.layers[0], c.layers[1], Q0=(V0_L1 / par.tr_L1_L2), V0=V0_L1, beta=par.beta_L1_L2) cmf.PowerLawConnection(c.layers[1], out, Q0=V0_L2 / par.tr_L2_out, V0=V0_L2, beta=par.beta_L2_out) # Snow cmf.SimpleTindexSnowMelt(c.snow, c.layers[0], c, rate=par.snow_meltrate) cmf.Weather.set_snow_threshold(par.snow_melt_temp) # Split the rainfall in interception and throughfall cmf.Rainfall(c.canopy, c, False, True) cmf.Rainfall(c.surfacewater, c, True, False) # Make an overflow for the interception storage cmf.RutterInterception(c.canopy, c.surfacewater, c) # Transpiration from the plants is added cmf.CanopyStorageEvaporation(c.canopy, c.evaporation, c) # Sets the paramaters for interception c.vegetation.LAI = par.LAI # Defines how much throughfall there is (in %) c.vegetation.CanopyClosure = par.CanopyClosure
def create_snow(): # Fill in the snow parameters when they exist. If not # leave them at CMFs default value. if "snow" in self.genes: cmf.SimpleTindexSnowMelt(cell.snow, cell.surfacewater, cell, rate=param_dict.get( "snow_meltrate", 7)) cmf.Weather.set_snow_threshold( param_dict.get("snow_melt_temp", 0.5))
def setparameters(self, tr_soil_GW = 12.36870481, tr_soil_fulda = 12., tr_surf = 3.560855356, tr_GW_l = 829.7188064, tr_GW_u_fulda = 270.05035, tr_GW_u_GW_l = 270., tr_fulda = 2.264612944, V0_soil = 280.0850875, beta_soil_GW=1.158865311, beta_fulda = 1.1, ETV1=2.575261852, fETV0=0.014808919, meltrate = 4.464735097, snow_melt_temp = 4.51938545, # Qd_max = 0.250552812, # TW_threshold = 10., LAI = 2.992013336, CanopyClosure = 5., Ksat = 0.02 ): # this list has to be identical with the one above """ sets the parameters, all parameterized connections will be created anew """ # Get all definitions from init method p = self.project c = p[0] outlet = self.outlet fulda = self.fulda # trinkwasser = self.trinkwasser # Adjustment of the evapotranspiration c.set_uptakestress(cmf.VolumeStress(ETV1,ETV1 * fETV0)) # Flux from the surfaces to the river cmf.kinematic_wave(c.surfacewater,fulda,tr_surf) # flux from surfaces to the soil (infiltration) cmf.SimpleInfiltration(c.layers[0], c.surfacewater) # change the saturated conductivity of the soil c.layers[0].soil.Ksat = Ksat # Flux from soil to river (interflow) cmf.kinematic_wave(c.layers[0],fulda,tr_soil_fulda/V0_soil, V0 = V0_soil) # flux from the soil to the upper groundwater (percolation) cmf.kinematic_wave(c.layers[0], c.layers[1],tr_soil_GW, exponent=beta_soil_GW) # flux from the upper groundwater to the river (baseflow) cmf.kinematic_wave(c.layers[1], fulda, tr_GW_u_fulda) # flux from upper to lower groundwater (percolation) cmf.kinematic_wave(c.layers[1], c.layers[2],tr_GW_u_GW_l)#, exponent=beta_GW_u_GW_l) # flux from the lower groundwater to river (baseflow) cmf.kinematic_wave(c.layers[2], fulda, tr_GW_l) # Flux from the lower groundwater to the drinking water outlet # the fourths argument is the amount that is now allowed to be slurped # # out of the lower groundwater # cmf.TechnicalFlux(c.layers[2],trinkwasser,Qd_max,TW_threshold,cmf.day) # # # Flux from drinking water to the river # cmf.waterbalance_connection(trinkwasser, fulda) # flux from the river to the outlet cmf.kinematic_wave(fulda, outlet, tr_fulda, exponent = beta_fulda) # set snowmelt temperature cmf.Weather.set_snow_threshold(snow_melt_temp) # Snowmelt at the surfaces snowmelt_surf = cmf.SimpleTindexSnowMelt(c.snow,c.surfacewater,c,rate=meltrate) # Splits the rainfall in interzeption and throughfall cmf.Rainfall(c.canopy,c, False, True) cmf.Rainfall(c.surfacewater,c, True, False) # Makes a overflow for the interception storage cmf.RutterInterception(c.canopy,c.surfacewater,c) # Transpiration on the plants is added cmf.CanopyStorageEvaporation(c.canopy,c.evaporation,c) # Sets the parameters for the interception c.vegetation.LAI= LAI # Defines how much throughfall there is (in %) c.vegetation.CanopyClosure = CanopyClosure
def set_parameters(self, params): """ Sets the parameters for the current cell. :param: params: dictionary of parameters. :return: """ # Get all definition from the init method cell = self.cell outlet = self.outlet soil = cell.layers[0] gw = cell.layers[1] # EVT1 must be adjusted to cell size ETV1 = params["ETV1"] ETV1 = (ETV1 / 1000) * cell.area # V0 must be adjusted to cell size as well V0_soil = params["V0_soil"] V0_soil = (V0_soil / 1000) * cell.area # Adjustment of the ET cell.set_uptakestress(cmf.VolumeStress( ETV1, ETV1 * params["fETV0"])) # Flux from soil to outlet cmf.kinematic_wave(soil, outlet, params["tr_soil_out"] / V0_soil, V0=V0_soil, exponent=params["beta_soil_out"]) # Flux from soil to groundwater cmf.kinematic_wave(soil, gw, params["tr_soil_gw"] / V0_soil, V0=V0_soil, exponent=params["beta_soil_gw"]) # Flux from the groundwater to the outlet (baseflow) cmf.kinematic_wave(gw, outlet, params["tr_gw_out"]) # Split the rainfall in interception and throughfall cmf.Rainfall(cell.canopy, cell, False, True) cmf.Rainfall(cell.surfacewater, cell, True, False) # Make an overflow for the interception storage cmf.RutterInterception(cell.canopy, cell.surfacewater, cell) # Transpiration from the plants is added cmf.CanopyStorageEvaporation(cell.canopy, cell.evaporation, cell) # Sets the paramaters for interception cell.vegetation.LAI = params["LAI"] # Defines how much throughfall there is (in %) cell.vegetation.CanopyClosure = params["CanopyClosure"] # # Set parameters of the snow calculations cmf.Weather.set_snow_threshold(params["snow_melt_temp"]) cmf.SimpleTindexSnowMelt(cell.snow, soil, cell, rate=params["meltrate"])
def setparameters(self, tr_first_out, tr_first_river, tr_first_second, tr_second_third, tr_second_river, tr_third_river, tr_river_out, beta_first_out, beta_first_river, beta_first_second, beta_second_river, beta_second_third, beta_third_river, beta_river_out, canopy_lai, canopy_closure, snow_meltrate, snow_melt_temp, V0_first_out, V0_first_river, V0_first_second, ETV0, fETV0): """ sets the Parameters, all Parametrized connections will be created anew """ # Get all definitions from init method p = self.project cell = p[0] first = cell.layers[0] second = cell.layers[1] third = cell.layers[2] river = self.river out = self.outlet # Adjustment of the evapotranspiration cell.set_uptakestress(cmf.VolumeStress(ETV0, ETV0 * fETV0)) # Kinematic waves cmf.kinematic_wave(first, second, tr_first_second, exponent=beta_first_second, V0=V0_first_second) cmf.kinematic_wave(first, out, tr_first_out, exponent=beta_first_out, V0=V0_first_out) cmf.kinematic_wave(first, river, tr_first_river, exponent=beta_first_river, V0=V0_first_river) cmf.kinematic_wave(second, river, tr_second_river, exponent=beta_second_river) cmf.kinematic_wave(second, third, tr_second_third, exponent=beta_second_third) cmf.kinematic_wave(third, river, tr_third_river, exponent=beta_third_river) cmf.kinematic_wave(river, out, tr_river_out, exponent=beta_river_out) # set snowmelt temperature cmf.Weather.set_snow_threshold(snow_melt_temp) # Snowmelt at the surfaces cmf.SimpleTindexSnowMelt(cell.snow, cell.surfacewater, cell, rate=snow_meltrate) # Splits the rainfall in interception and throughfall cmf.Rainfall(cell.canopy, cell, False, True) cmf.Rainfall(cell.surfacewater, cell, True, False) # Makes a overflow for the interception storage cmf.RutterInterception(cell.canopy, cell.surfacewater, cell) # Transpiration on the plants is added cmf.CanopyStorageEvaporation(cell.canopy, cell.evaporation, cell) # Sets the Parameters for the interception cell.vegetation.LAI = canopy_lai # Defines how much throughfall there is (in %) cell.vegetation.CanopyClosure = canopy_closure
def set_parameters( self, tr_soil_gw, tr_soil_out, tr_gw_out, V0_soil, beta_soil_gw, beta_soil_out, ETV1, fETV0, meltrate, snow_melt_temp, LAI, CanopyClosure, ): """ Creates all connections with the parameter values produced by the sampling algorithm. """ # Get all definition from the init method p = self.project c = p[0] outlet = self.outlet soil = c.layers[0] gw = c.layers[1] # Adjustment of the ET c.set_uptakestress(cmf.VolumeStress(ETV1, ETV1 * fETV0)) # Flux from soil to outlet cmf.kinematic_wave(soil, outlet, tr_soil_out / V0_soil, V0=V0_soil, exponent=beta_soil_out) # Flux from soil to groundwater cmf.kinematic_wave(soil, gw, tr_soil_gw / V0_soil, V0=V0_soil, exponent=beta_soil_gw) # Flux from the groundwater to the outlet (baseflow) cmf.kinematic_wave(gw, outlet, tr_gw_out) # Split the rainfall in interception and throughfall cmf.Rainfall(c.canopy, c, False, True) cmf.Rainfall(c.surfacewater, c, True, False) # Make an overflow for the interception storage cmf.RutterInterception(c.canopy, c.surfacewater, c) # Transpiration from the plants is added cmf.CanopyStorageEvaporation(c.canopy, c.evaporation, c) # Sets the paramaters for interception c.vegetation.LAI = LAI # Defines how much throughfall there is (in %) c.vegetation.CanopyClosure = CanopyClosure # # Set parameters of the snow calculations cmf.Weather.set_snow_threshold(snow_melt_temp) cmf.SimpleTindexSnowMelt(c.snow, soil, c, rate=meltrate)
def setparameters(self, param_dict: dict): """ Creates all connections with the parameter values produced by the sampling algorithm. :param param_dict: Dictionary of all the parameters and their values. :return None """ cell = self.project[0] storages = self.storages # Find all active connections active_connections = [] for param in param_dict.keys(): if "tr_" in param: active_connections.append(param) # Go through all active connections for connection in active_connections: temp, source_tr, target_tr = connection.split("_") # Save the parameter values to be able to create the connection connection_params = {"tr": param_dict[connection], # Include the default values for beta and # V0, so a kinematic wave can always be # created. "beta": 1.0, "V0": 1.0} # Find all other parameter which belong to that connection for param in param_dict.keys(): try: name, source_param, target_param = param.split("_") # Save the values if ((name == "beta" or name == "V0") and source_tr == source_param and target_tr == target_param): connection_params[name] = param_dict[param] except ValueError: # ValueError is raised because the not all genes can be # split in three parts. But as all genes that are of # interest now can be, the error can pass. pass # Create the connection cmf.kinematic_wave(storages[source_tr], storages[target_tr], param_dict[connection], V0=connection_params["V0"], exponent=connection_params["beta"]) # Fill in the snow parameters when they exist. If not # leave them at CMFs default value. if "snow" in self.genes: cmf.SimpleTindexSnowMelt(cell.snow, cell.surfacewater, cell, rate=param_dict.get("snow_meltrate", 7)) cmf.Weather.set_snow_threshold(param_dict.get("snow_melt_temp", 0.5)) # Fill in the canopy parameters when they exist if "canopy" in self.genes: # Splits the rainfall in interception and throughfall cmf.Rainfall(cell.canopy, cell, False, True) cmf.Rainfall(cell.surfacewater, cell, True, False) # Makes a overflow for the interception storage cmf.RutterInterception(cell.canopy, cell.surfacewater, cell) # Transpiration on the plants is added cmf.CanopyStorageEvaporation(cell.canopy, cell.evaporation, cell) # Set LAI and Canopy Closure if they exist in the dict. If not # leave them at CMFs default value. cell.vegetation.LAI = param_dict.get("canopy_lai", 2.88) cell.vegetation.CanopyClosure = param_dict.get("canopy_closure", 1.0) # Establish a waterbalance_connection if the river does not exist as # a separate storage, so the model treats it as if it would not exist. if "river" not in self.genes: cmf.waterbalance_connection(self.storages["river"], self.storages["out"])