def test_npump():
superjunctions = copy.deepcopy(hillslope_superjunctions)
superlinks = hillslope_superlinks
superjunctions.loc[2] = superjunctions.loc[0]
superjunctions.loc[2, ['name', 'id']] = 2
superjunctions.loc[2, 'h_0'] = 2.0
pumps = {
'id': 0,
'sj_0': 0,
'sj_1': 2,
'z_p': 0,
'a_q': 2.0,
'a_h': 0.1,
'dH_min': 0.5,
'dH_max': 2.0
}
pumps = pd.DataFrame(pumps, index=[0])
hydraulic_model = nSuperLink(superlinks,
superjunctions,
pumps=pumps,
internal_links=internal_links)
dt = 10
Q_in = 1e-2 * np.asarray([0., 0., 0.])
Q_0Ik = 1e-3 * np.ones(hydraulic_model.NIk)
for _ in range(1000):
if (hydraulic_model.t > 2000):
u_p = 0.5 * np.ones(1)
else:
u_p = np.zeros(1)
hydraulic_model.step(dt=dt, Q_in=Q_in, Q_0Ik=Q_0Ik, u_p=u_p)
def test_norifice():
superjunctions = copy.deepcopy(hillslope_superjunctions)
superlinks = hillslope_superlinks
superjunctions.loc[2] = superjunctions.loc[0]
superjunctions.loc[2, ['name', 'id']] = 2
superjunctions.loc[2, 'h_0'] = 2.0
orifices = {
'id': 0,
'sj_0': 2,
'sj_1': 0,
'A': 0.3048**2,
'orientation': 'side',
'z_o': 0,
'y_max': 0.3048,
'C': 0.67
}
orifices = pd.DataFrame(orifices, index=[0])
hydraulic_model = nSuperLink(superlinks,
superjunctions,
orifices=orifices,
internal_links=internal_links)
dt = 10
Q_in = 1e-2 * np.asarray([0., 0., 0.])
Q_0Ik = 1e-3 * np.ones(hydraulic_model.NIk)
for _ in range(1000):
if (hydraulic_model.t > 2000):
u_o = 0.5 * np.ones(1)
else:
u_o = np.zeros(1)
hydraulic_model.step(dt=dt, Q_in=Q_in, Q_0Ik=Q_0Ik, u_o=u_o)
def test_nweir():
superjunctions = copy.deepcopy(hillslope_superjunctions)
superlinks = hillslope_superlinks
superjunctions.loc[2] = superjunctions.loc[0]
superjunctions.loc[2, ['name', 'id']] = 2
superjunctions.loc[2, 'h_0'] = 2.0
weirs = {
'id': 0,
'sj_0': 2,
'sj_1': 0,
'z_w': 0,
'y_max': 0.3048,
'Cr': 0.67,
'Ct': 0.67,
'L': 0.3048,
's': 0.01
}
weirs = pd.DataFrame(weirs, index=[0])
hydraulic_model = nSuperLink(superlinks,
superjunctions,
weirs=weirs,
internal_links=internal_links)
dt = 10
Q_in = 1e-2 * np.asarray([0., 0., 0.])
Q_0Ik = 1e-3 * np.ones(hydraulic_model.NIk)
for _ in range(1000):
if (hydraulic_model.t > 2000):
u_w = 0.5 * np.ones(1)
else:
u_w = np.zeros(1)
hydraulic_model.step(dt=dt, Q_in=Q_in, Q_0Ik=Q_0Ik, u_w=u_w)
'data/hillslope/hillslope_superjunctions.csv')
hillslope_superlinks = pd.read_csv('data/hillslope/hillslope_superlinks.csv')
hillslope_soil_params = pd.read_csv('data/hillslope/hillslope_soil_params.csv')
hillslope_superlink_wq_params = pd.read_csv(
'data/hillslope/hillslope_superlink_wq_params.csv')
hillslope_superjunction_wq_params = pd.read_csv(
'data/hillslope/hillslope_superjunction_wq_params.csv')
internal_links = 24
hillslope_superlink_model = SuperLink(hillslope_superlinks,
hillslope_superjunctions,
internal_links=internal_links)
hillslope_nsuperlink_model = nSuperLink(hillslope_superlinks,
hillslope_superjunctions,
internal_links=internal_links)
hillslope_greenampt_model = GreenAmpt(hillslope_soil_params)
hillslope_ngreenampt_model = nGreenAmpt(hillslope_soil_params)
hillslope_water_quality_model = QualityBuilder(
hillslope_nsuperlink_model,
superjunction_params=hillslope_superjunction_wq_params,
superlink_params=hillslope_superlink_wq_params)
initial_nsuperlink_states = copy.deepcopy(hillslope_nsuperlink_model.states)
def test_superlink_step():
hillslope_superlink_model = SuperLink(hillslope_superlinks,
