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"])
