def _init_model(self, solver):
if solver == 'numba':
solver = PegasusNumba()
num_app = ImplicitEulerNumba(root_finder=solver)
elif solver == 'python':
solver = PegasusPython()
num_app = ImplicitEulerPython(root_finder=solver)
# Define HRU 1 (40%)
fr = PowerReservoir(parameters = {'k' : 0.01,
'alpha' : 2.5},
states = {'S0' : 0.0},
approximation=num_app,
id = 'FR')
h1 = Unit(layers = [[fr]], id = 'H1')
# Define HRU 2 (60%)
fr = PowerReservoir(parameters = {'k' : 0.01,
'alpha' : 2.5},
states = {'S0' : 0.0},
approximation=num_app,
id = 'FR')
sr = PowerReservoir(parameters = {'k' : 1e-4,
'alpha' : 1.0},
states = {'S0' : 0.0},
approximation=num_app,
id = 'SR')
ur = UnsaturatedReservoir(parameters = {'Smax' : 50.0,
'Ce' : 1.5,
'm' : 0.01,
'beta' : 1.5,
},
states = {'S0' : 0.2*50.0, 'PET' : None},
approximation=num_app,
id = 'UR')
s = Splitter(weight = [[0.3], [0.7]],
direction = [[0], [0]],
id = 'S')
j = Junction(direction = [[0, 0]],
id = 'J')
h2 = Unit(layers = [
[ur],
[s],
[fr, sr],
[j]
],
id = 'H2')
# Define the catchment
cat = Node(units = [h1, h2], weights = [0.4, 0.6], area = 1.0, id = 'Cat')
cat.set_timestep(1.0)
self._model = cat
def _init_model(self, solver):
if solver == 'numba':
solver = PegasusNumba()
num_app = ImplicitEulerNumba(root_finder=solver)
elif solver == 'python':
solver = PegasusPython()
num_app = ImplicitEulerPython(root_finder=solver)
fr = PowerReservoir(parameters = {'k' : 0.01,
'alpha' : 2.5},
states = {'S0' : 0.0},
approximation=num_app,
id = 'FR')
ur = UnsaturatedReservoir(parameters = {'Smax' : 50.0,
'Ce' : 1.5,
'm' : 0.01,
'beta' : 1.5,
},
states = {'S0' : 0.2*50.0, 'PET' : None},
approximation=num_app,
id = 'UR')
hru = Unit(layers = [
[ur],
[fr]
],
id = 'H1')
hru.set_timestep(1.0)
self._model = hru
def _init_model(self, solver):
if solver == 'numba':
solver = PegasusNumba()
num_app = ImplicitEulerNumba(root_finder=solver)
elif solver == 'python':
solver = PegasusPython()
num_app = ImplicitEulerPython(root_finder=solver)
ur = UnsaturatedReservoir(parameters={
'Smax': 50.0,
'Ce': 1.5,
'm': 0.01,
'beta': 1.5
},
states={'S0': 0.2 * 50.0},
approximation=num_app,
id='UR')
ur.set_timestep(2.0)
self._model = ur
from superflexpy.implementation.root_finders.pegasus import PegasusPython
from superflexpy.implementation.numerical_approximators.implicit_euler import ImplicitEulerPython
from superflexpy.implementation.elements.hbv import UnsaturatedReservoir, PowerReservoir
from superflexpy.framework.unit import Unit
root_finder = PegasusPython()
numeric_approximator = ImplicitEulerPython(root_finder=root_finder)
ur = UnsaturatedReservoir(parameters={
'Smax': 50.0,
'Ce': 1.0,
'm': 0.01,
'beta': 2.0
},
states={'S0': 25.0},
approximation=numeric_approximator,
id='UR')
fr = PowerReservoir(parameters={
'k': 0.1,
'alpha': 1.0
},
states={'S0': 10.0},
approximation=numeric_approximator,
id='FR')
model = Unit(layers=[[ur], [fr]], id='M4')
from superflexpy.implementation.models.m4_sf_2011 import model
model.set_input([P, E])
'm04_FR_alpha': 2.06272140965805,
'm04_UR_Ce': 0.771711960349972,
'm04_UR_Smax': 117.195201845032,
'm04_UR_beta': 10.0,
'm04_SR_k': 0.00157523385576,
'm04_split_split-par': 0.0,
}
root_finder = PegasusPython(iter_max=1000)
num_app = ImplicitEulerPython(root_finder=root_finder)
unsaturated_reservoir = UnsaturatedReservoir(parameters={
'Smax': 200.0,
'Ce': 1.0,
'm': 0.01,
'beta': 0.02
},
states={'S0': 100.0},
approximation=num_app,
id='UR')
splitter = ParameterizedSingleFluxSplitter(parameters={'split-par': 0.3},
id='split')
fast_reservoir = PowerReservoir(parameters={
'k': 0.1,
'alpha': 1.0
},
states={'S0': 2.0},
approximation=num_app,
id='FR')