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test_10_nsm_carbon_calculations.py
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from numba import (
types,
typed,
)
import pytest
from clearwater_modules.nsm1 import NutrientBudget
from clearwater_modules.nsm1.constants import (
AlgaeStaticVariables,
AlkalinityStaticVariables,
BalgaeStaticVariables,
NitrogenStaticVariables,
CarbonStaticVariables,
CBODStaticVariables,
DOXStaticVariables,
N2StaticVariables,
POMStaticVariables,
PathogenStaticVariables,
PhosphorusStaticVariables,
GlobalParameters,
GlobalVars
)
@pytest.fixture(scope='function')
def initial_nsm1_state() -> dict[str, float]:
"""Return initial state values for the model."""
return { 'Ap': 36.77,
'Ab': 24,
'NH4': .063,
'NO3': 5.54,
'OrgN': 1.726,
'N2': 1,
'TIP': 0.071,
'OrgP': 0.24,
'POC': 4.356,
'DOC': 1,
'DIC': 1,
'POM': 1,
'CBOD': 1,
'DOX': 8,
'PX': 1,
'Alk': 1}
@pytest.fixture(scope='module')
def time_steps() -> int:
return 1
@pytest.fixture(scope='function')
def default_algae_params() -> AlgaeStaticVariables:
"""Returns default algae static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return AlgaeStaticVariables(
AWd = 100,
AWc= 40,
AWn= 7.2,
AWp= 1,
AWa= 1000,
KL= 10,
KsN= 0.04,
KsP= 0.0012,
mu_max_20= 1,
kdp_20= 0.15,
krp_20= 0.2,
mu_max_theta= 1.047,
kdp_theta= 1.047,
krp_theta= 1.047,
vsap= 0.15,
growth_rate_option = 1,
light_limitation_option = 1,
)
@pytest.fixture(scope='function')
def default_alkalinity_params() -> AlkalinityStaticVariables:
"""Returns default alkalinity static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return AlkalinityStaticVariables(
r_alkaa = 14.0 / 106.0 / 12.0 / 1000.0,
r_alkan = 18.0 / 106.0 / 12.0 / 1000.0,
r_alkn = 2.0 / 14.0 / 1000.0,
r_alkden = 4.0 / 14.0 / 1000.0,
r_alkba = 14.0 / 106.0 / 12.0 / 1000.0,
r_alkbn = 18.0 / 106.0 / 12.0 / 1000.0
)
@pytest.fixture(scope='function')
def default_balgae_params() -> BalgaeStaticVariables:
"""Returns default Benthic Algae static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return BalgaeStaticVariables(
BWd = 100,
BWc = 40,
BWn = 7.2,
BWp = 1,
BWa = 5000,
KLb = 10,
KsNb= 0.25,
KsPb=0.125,
Ksb=10,
mub_max_20=0.4,
krb_20=0.2,
kdb_20=0.3,
mub_max_theta = 1.047,
krb_theta = 1.047,
kdb_theta = 1.047,
b_growth_rate_option=1,
b_light_limitation_option=1,
Fw=0.9,
Fb=0.9
)
@pytest.fixture(scope='function')
def default_nitrogen_params() -> NitrogenStaticVariables:
"""Returns default nitrogen static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return NitrogenStaticVariables(
KNR= 0.6 ,
knit_20= 0.1,
kon_20=0.1,
kdnit_20=0.002,
rnh4_20=0,
vno3_20=0,
knit_theta= 1.047,
kon_theta= 1.047,
kdnit_theta= 1.047,
rnh4_theta= 1.047,
vno3_theta= 1.047,
KsOxdn=0.1,
PN=0.5,
PNb=0.5
)
@pytest.fixture(scope='function')
def default_carbon_params() -> CarbonStaticVariables:
"""Returns default carbon static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return CarbonStaticVariables(
f_pocp = 0.9,
kdoc_20= 0.01,
kdoc_theta = 1.047,
f_pocb=0.9,
kpoc_20= 0.005,
kpoc_theta = 1.047,
KsOxmc=1.0,
pCO2 = 383.0,
FCO2 = 0.2,
roc = 32.0/12.0
)
@pytest.fixture(scope='function')
def default_CBOD_params() -> CBODStaticVariables:
"""Returns default CBOD static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return CBODStaticVariables(
KsOxbod = 0.5,
kbod_20 = 0.12,
ksbod_20 = 0.0,
kbod_theta = 1.047,
ksbod_theta = 1.047
)
@pytest.fixture(scope='function')
def default_DOX_params() -> DOXStaticVariables:
"""Returns default DOX static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return DOXStaticVariables(
ron = 2.0 * 32.0 / 14.0,
KsSOD = 1,
)
@pytest.fixture(scope='function')
def default_N2_params() -> N2StaticVariables:
"""Returns default N2 static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return N2StaticVariables(
)
@pytest.fixture(scope='function')
def default_POM_params() -> POMStaticVariables:
"""Returns default POM static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return POMStaticVariables(
kpom_20 = 0.1,
kpom_theta = 1.047
)
@pytest.fixture(scope='function')
def default_pathogen_params() -> PathogenStaticVariables:
"""Returns default Pathogens static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return PathogenStaticVariables(
kdx_20=0.8,
kdx_theta = 1.047,
apx=1,
vx=1
)
@pytest.fixture(scope='function')
def default_phosphorus_params() -> PhosphorusStaticVariables:
"""Returns default phosphorus static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return PhosphorusStaticVariables(
kop_20 = 0.1,
rpo4_20 = 0,
kop_theta = 1.047,
rpo4_theta = 1.047,
kdpo4 = 100.0
)
@pytest.fixture(scope='function')
def default_gp_params() -> GlobalParameters:
"""Returns default global parameter static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return GlobalParameters(
use_NH4= True,
use_NO3= True,
use_OrgN= True,
use_OrgP = True,
use_TIP= True,
use_SedFlux= False,
use_DOX= True,
use_Algae= True,
use_Balgae= True,
use_POC = True,
use_DOC = True,
use_DIC= True,
use_N2 = True,
use_Pathogen = True,
use_Alk = True,
use_POM = True
)
@pytest.fixture(scope='function')
def default_gvars_params() -> GlobalVars:
"""Returns default global variables static variable values for the model.
NOTE: As of now (3/18/2022) these match the built in defaults, but are
copied here to allow for easy modification of the defaults in the future.
Returns a typed dictionary, with string keys and float values.
"""
return GlobalVars(
vson = 0.01,
vsoc = 0.01,
vsop = 0.01,
vs = 0.01,
SOD_20 = 0.5,
SOD_theta = 1.047,
vb = 0.01,
fcom = 0.4,
kaw_20_user = 0,
kah_20_user = 1,
kaw_theta = 1.047,
kah_theta = 1.047,
hydraulic_reaeration_option = 1,
wind_reaeration_option = 1,
dt = 1, #TODO Dynamic or static?
depth = 1.5, #TODO Dynamic or static?
TwaterC = 25,
theta = 1.047,
velocity = 1,
flow = 150,
topwidth = 100,
slope = 0.0002,
shear_velocity = 0.05334,
pressure_atm = 1013.25,
wind_speed = 3,
q_solar = 500,
Solid = 1,
lambda0 = 0.02,
lambda1 = 0.0088,
lambda2 = 0.054,
lambdas = 0.056,
lambdam = 0.174,
Fr_PAR = .47
)
def get_nutrient_budget_instance(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
) -> NutrientBudget:
"""Return an instance of the NSM1 class."""
return NutrientBudget(
time_steps=time_steps,
initial_state_values=initial_nsm1_state,
algae_parameters=default_algae_params,
alkalinity_parameters=default_alkalinity_params,
balgae_parameters=default_balgae_params,
nitrogen_parameters=default_nitrogen_params,
carbon_parameters=default_carbon_params,
CBOD_parameters=default_CBOD_params,
DOX_parameters=default_DOX_params,
N2_parameters=default_N2_params,
POM_parameters=default_POM_params,
pathogen_parameters=default_pathogen_params,
phosphorus_parameters=default_phosphorus_params,
global_parameters=default_gp_params,
global_vars=default_gvars_params,
time_dim='nsm1_time_step',
)
@pytest.fixture(scope='module')
def tolerance() -> float:
"""Controls the precision of the pytest.approx() function."""
return 0.01
def test_defaults_POC(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters."""
# alter parameters as necessary
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
def test_defaults(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters."""
# alter parameters as necessary
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.24
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_defaults_DIC(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters."""
# alter parameters as necessary
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
DIC = nsm1.dataset.isel(nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_POC(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed POC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['POC'] = 2
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 3.98
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.22
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_DOC(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DOC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['DOC'] = 2
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 2.23
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_DIC(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DIC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['DIC'] = 2
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.24
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 1.54
def test_changed_DOX(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DIC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['DOX'] = 5
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.24
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_CBOD(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DIC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['CBOD'] = 10000
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.24
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.81
def test_changed_Ap(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DIC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['Ap'] = 3
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.08
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.21
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_Ab(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DIC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['Ab'] = 2
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 4.70
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.06
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_NH4(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,
default_gp_params,
default_gvars_params,
tolerance,
) -> None:
"""Test the model with default parameters and changed DIC."""
# alter parameters as necessary
initial_state_dict = initial_nsm1_state
initial_state_dict['NH4'] = 7000
# instantiate the model
nsm1: NutrientBudget = get_nutrient_budget_instance(
time_steps=time_steps,
initial_nsm1_state=initial_nsm1_state,
default_algae_params=default_algae_params,
default_alkalinity_params=default_alkalinity_params,
default_balgae_params=default_balgae_params,
default_nitrogen_params=default_nitrogen_params,
default_carbon_params=default_carbon_params,
default_CBOD_params=default_CBOD_params,
default_DOX_params=default_DOX_params,
default_N2_params=default_N2_params,
default_POM_params=default_POM_params,
default_pathogen_params=default_pathogen_params,
default_phosphorus_params=default_phosphorus_params,
default_gp_params=default_gp_params,
default_gvars_params=default_gvars_params
)
# Run the model
nsm1.increment_timestep()
POC = nsm1.dataset.isel(
nsm1_time_step=-1).POC.values.item()
assert isinstance(POC, float)
assert pytest.approx(POC, tolerance) == 6.30
DOC = nsm1.dataset.isel(
nsm1_time_step=-1).DOC.values.item()
assert isinstance(DOC, float)
assert pytest.approx(DOC, tolerance) == 1.24
DIC = nsm1.dataset.isel(
nsm1_time_step=-1).DIC.values.item()
assert isinstance(DIC, float)
assert pytest.approx(DIC, tolerance) == 0.77
def test_changed_NO3(
time_steps,
initial_nsm1_state,
default_algae_params,
default_alkalinity_params,
default_balgae_params,
default_nitrogen_params,
default_carbon_params,
default_CBOD_params,
default_DOX_params,
default_N2_params,
default_POM_params,
default_pathogen_params,
default_phosphorus_params,