def test_fields3():
# %% Second FD (no FA is default)
mg3 = RasterModelGrid((8, 8), xy_spacing=(1, 1))
mg3.add_field("topographic__elevation", mg3.node_x + mg3.node_y, at="node")
fa3 = PriorityFloodFlowRouter(mg3,
separate_hill_flow=True,
suppress_out=True)
fa3.run_one_step()
assert sorted(list(mg3.at_node.keys())) == [
"depression_free_elevation",
"drainage_area",
"flood_status_code",
"flow__link_to_receiver_node",
"flow__receiver_node",
"flow__receiver_proportions",
"flow__upstream_node_order",
"hill_flow__receiver_node",
"hill_flow__receiver_proportions",
"hill_flow__upstream_node_order",
"hill_topographic__steepest_slope",
"squared_length_adjacent",
"surface_water__discharge",
"topographic__elevation",
"topographic__steepest_slope",
"water__unit_flux_in",
]
def test_fields1():
# %%
"""
Check to make sure the right fields have been created.
Check that the sizes are also correct.
"""
# %% Default configuration
mg1 = RasterModelGrid((6, 6), xy_spacing=(1, 1))
mg1.add_field("topographic__elevation", mg1.node_x + mg1.node_y, at="node")
fa1 = PriorityFloodFlowRouter(mg1, suppress_out=True)
fa1.run_one_step()
assert sorted(list(mg1.at_node.keys())) == [
"depression_free_elevation",
"drainage_area",
"flood_status_code",
"flow__link_to_receiver_node",
"flow__receiver_node",
"flow__receiver_proportions",
"flow__upstream_node_order",
"squared_length_adjacent",
"surface_water__discharge",
"topographic__elevation",
"topographic__steepest_slope",
"water__unit_flux_in",
]
def test_sliding_plain():
"""
Test that if BedrockLandslider maths are sound and follow the Culmann theory
"""
# Make a raster model grid and create a plateau
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
z = mg.add_zeros("topographic__elevation", at="node")
s = mg.add_zeros("soil__depth", at="node")
b = mg.add_zeros("bedrock__elevation", at="node")
# make plateau at 10m
b += 10
# Lower boundary cell to 0
b[2] = 0
z[:] = b + s
fd = PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
hy = BedrockLandslider(mg, landslides_return_time=1)
# run flow director and BedrockLandslider for one timestep
fd.run_one_step()
hy.run_one_step(dt=1)
# After one timestep, we can predict eactly where the landslide will occur.
# The return time is set to 1 year so that probability for sliding is 100%
# The angle of internal driction is 1m/m, the topographical gradient is 10 m/m
# At cardinal cells, the sliding plain will be at (1+10)/2 = 5.5 m/m.
# With a dx of 1, the cardial cell next to the critical sliding node must
# be 5.5 m and the diagonal one at 5.5 * sqrt(2) = 7.8 m
err_msg = "Error in the calculation of the sliding plain"
testing.assert_almost_equal(
[5.5 * np.sqrt(2), 5.5, 5.5 * np.sqrt(2)], z[6:9], decimal=5, err_msg=err_msg
)
def test_fields4():
"""
Second FD (with FA )
"""
mg4 = RasterModelGrid((9, 9), xy_spacing=(1, 1))
mg4.add_field("topographic__elevation", mg4.node_x + mg4.node_y, at="node")
fa4 = PriorityFloodFlowRouter(mg4,
separate_hill_flow=True,
accumulate_flow_hill=True,
suppress_out=True)
fa4.run_one_step()
assert sorted(list(mg4.at_node.keys())) == [
"depression_free_elevation",
"drainage_area",
"flood_status_code",
"flow__link_to_receiver_node",
"flow__receiver_node",
"flow__receiver_proportions",
"flow__upstream_node_order",
"hill_drainage_area",
"hill_flow__receiver_node",
"hill_flow__receiver_proportions",
"hill_flow__upstream_node_order",
"hill_surface_water__discharge",
"hill_topographic__steepest_slope",
"squared_length_adjacent",
"surface_water__discharge",
"topographic__elevation",
"topographic__steepest_slope",
"water__unit_flux_in",
]
def test_flow_accumulator_properties_D4_varying_water__unit_flux_in():
# %%
mg = RasterModelGrid((4, 4), xy_spacing=(1, 1))
_ = mg.add_field("topographic__elevation",
mg.node_x * 2 + mg.node_y,
at="node")
mg.add_field("water__unit_flux_in", mg.node_x * 0 + 2, at="node")
fa = PriorityFloodFlowRouter(
mg,
flow_metric="D4",
suppress_out=True,
separate_hill_flow=True,
hill_flow_metric="D4",
accumulate_flow_hill=True,
)
# from landlab.components.flow_accum import FlowAccumulator
# fa = FlowAccumulator(mg)
fa.run_one_step()
node_drainage_area = np.array([
0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 1.0, 0.0, 2.0, 2.0, 1.0, 0.0, 0.0, 0.0,
0.0, 0.0
])
assert_array_equal(fa.node_water_discharge,
2 * node_drainage_area.flatten())
assert_array_equal(fa.node_drainage_area, node_drainage_area.flatten())
# Hill flow accumulation should be similar
assert_array_equal(mg.at_node["hill_surface_water__discharge"],
2 * node_drainage_area.flatten())
assert_array_equal(mg.at_node["hill_drainage_area"],
node_drainage_area.flatten())
def test_flow_accumulator_properties_breach():
# %%
mg = RasterModelGrid((5, 5), xy_spacing=(1, 1))
mg.add_field("topographic__elevation",
mg.node_x * 2 + mg.node_y,
at="node")
fa = PriorityFloodFlowRouter(mg,
flow_metric="D8",
suppress_out=True,
depression_handler="breach")
# from landlab.components.flow_accum import FlowAccumulator
# fa = FlowAccumulator(mg)
fa.run_one_step()
node_drainage_area = np.array([
[3.0, 2.0, 1.0, 0.0, 0.0],
[2.0, 3.0, 2.0, 1.0, 0.0],
[1.0, 2.0, 2.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0],
])
assert_array_equal(fa.node_water_discharge, node_drainage_area.flatten())
assert_array_equal(fa.node_drainage_area, node_drainage_area.flatten())
def test_mass_balance_porosity_suspension():
"""
Test is mass balance is conserved during sliding events.
Test for soils with given porosity phi and where none of the sediment is
evacuated as suspended sediment.
"""
# %%
# Make a raster model grid and create a plateau
n_rows = 9
n_columns = 9
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
z = mg.add_zeros("topographic__elevation", at="node")
s = mg.add_zeros("soil__depth", at="node")
b = mg.add_zeros("bedrock__elevation", at="node")
# make plateau at 10m
b += 10
# Elevate central node
b[40] = 10
# Create slope at margin so that sediment will be evacuated
b[mg.boundary_nodes] = 0
z[:] = b + s
fd = PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
# Instanciate the slider, but this time provide the node at which landslides
# should occur (node 2)
phi = 0.3
fraction_fines_LS = 0.5
hy = BedrockLandslider(
mg,
angle_int_frict=1,
landslides_return_time=1,
landslides_on_boundary_nodes=True,
phi=phi,
fraction_fines_LS=fraction_fines_LS,
)
# Assume equal bulk density for rock and soil
total_vol_before = np.sum(b) + np.sum(s) * (1 - phi)
# Keep track of total volumes evacuated
vol_SSY_tot = 0
V_leaving_tot = 0
# Run for some time
for _ in range(5):
fd.run_one_step()
vol_SSY, V_leaving = hy.run_one_step(dt=1)
vol_SSY_tot += vol_SSY
V_leaving_tot += V_leaving
total_vol_after = np.sum(b) + np.sum(s) * (1 - phi) + vol_SSY_tot + V_leaving_tot
# Check mass balance
err_msg = "Mass balance not okey"
testing.assert_almost_equal(
total_vol_before, total_vol_after, decimal=5, err_msg=err_msg
)
def test_sliding_evolution():
"""
Test that if BedrockLandslider is run for a long enough time, slopes evolve to the
angle of internal friction
"""
# Make a raster model grid and create a plateau
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
z = mg.add_zeros("topographic__elevation", at="node")
s = mg.add_zeros("soil__depth", at="node")
b = mg.add_zeros("bedrock__elevation", at="node")
# make plateau at 10m
b += 10
# Lower boundary cell to 0
b[2] = 0
z[:] = b + s
fd = PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
# Instanciate the slider, but this time provide the node at which landslides
# should occur (node 2)
hy = BedrockLandslider(
mg,
angle_int_frict=1,
landslides_return_time=0.01,
landslides_on_boundary_nodes=True,
critical_sliding_nodes=[2],
)
# run flow director and BedrockLandslider for long enough so that surface evolves
# towards the angle of internal friction timestep
for _ in range(50):
fd.run_one_step()
hy.run_one_step(dt=1)
# After 50 iterations, landslide erosion starting fromnode 2 evolves to a
# known slope, equal to the angle of internal friction, multiplied by the
# distance from node 2 giving:
topo_cal = np.array(
[
[2.0, 1.0, 0.0, 1.0, 2.0],
[2.23606798, 1.41421356, 1.0, 1.41421356, 2.23606798],
[2.82842712, 2.23606798, 2.0, 2.23606798, 2.82842712],
[3.60555128, 3.16227766, 3.0, 3.16227766, 3.60555128],
[4.47213595, 4.12310563, 4.0, 4.12310563, 4.47213595],
]
).flatten()
err_msg = "Slope is not evolving to theoretical value"
testing.assert_almost_equal(topo_cal, z, decimal=5, err_msg=err_msg)
def test_accumulated_area_closes():
"""Check that accumulated area is area of core nodes."""
mg = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
fa = PriorityFloodFlowRouter(mg, suppress_out=True)
fa.run_one_step()
drainage_area = mg.at_node["drainage_area"]
drained_area = np.sum(drainage_area[mg.boundary_nodes])
core_area = np.sum(mg.cell_area_at_node[mg.core_nodes])
assert drained_area == core_area
# %% multiple flow
"""Check that accumulated area is area of core nodes."""
mg3 = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg3.add_field("topographic__elevation", mg3.node_x + mg3.node_y, at="node")
fa3 = PriorityFloodFlowRouter(
mg3,
separate_hill_flow=True,
accumulate_flow_hill=True,
hill_flow_metric="Quinn",
suppress_out=True,
)
fa3.run_one_step()
drainage_area_hill = mg3.at_node["hill_drainage_area"]
drainage_area_hill = np.sum(drainage_area_hill[mg3.boundary_nodes])
core_area = np.sum(mg3.cell_area_at_node[mg3.core_nodes])
assert drainage_area_hill == core_area
def test_check_fields():
"""Check to make sure the right fields have been created."""
# %%
mg = RasterModelGrid((10, 10), xy_spacing=(1, 1))
z = mg.add_field("topographic__elevation",
mg.node_x**2 + mg.node_y**2,
at="node")
PriorityFloodFlowRouter(mg)
assert_array_equal(z, mg.at_node["topographic__elevation"])
assert_array_equal(np.zeros(100), mg.at_node["drainage_area"])
assert_array_equal(np.ones(100), mg.at_node["water__unit_flux_in"])
PriorityFloodFlowRouter(mg, runoff_rate=2.0)
assert_array_equal(np.full(100, 2.0), mg.at_node["water__unit_flux_in"])
def input_values():
# %%
"""
PriorityFloodFlowRouter should throw an error when wrong input values are provided
"""
# %% Default configuration
mg1 = RasterModelGrid((5, 5), xy_spacing=(1, 1))
mg1.add_field("topographic__elevation", mg1.node_x + mg1.node_y, at="node")
with pytest.raises(ValueError):
_ = PriorityFloodFlowRouter(mg1, suppress_out=True, flow_metric="Oops")
with pytest.raises(ValueError):
_ = PriorityFloodFlowRouter(mg1, suppress_out=True, depression_handler="Oops")
def test_properties_phi_fraction_fines_LS():
"""
BedrockLandslider should throw an error when phi/fraction_fines_LS < 0 or phi > 0
"""
# Make a raster model grid and create a plateau
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
mg.add_zeros("topographic__elevation", at="node")
mg.add_zeros("soil__depth", at="node")
mg.add_zeros("bedrock__elevation", at="node")
PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
# instantiate the slider
with pytest.raises(ValueError):
BedrockLandslider(mg, phi=-0.2)
# instantiate the slider
with pytest.raises(ValueError):
BedrockLandslider(mg, phi=1.2)
# instantiate the slider
with pytest.raises(ValueError):
BedrockLandslider(mg, fraction_fines_LS=-0.2)
# instantiate the slider
with pytest.raises(ValueError):
BedrockLandslider(mg, fraction_fines_LS=1.2)
def test_specifying_routing_method_wrong():
# %%
"""Test specifying incorrect method for routing compatability"""
mg = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
with pytest.raises(TypeError):
PriorityFloodFlowRouter(mg, flow_director="D2")
def test_boundary_nodes():
# %%
"""
Test that if BedrockLandslider cannot make or initate landslides at boundary nodes,
it doesn't
"""
# Make a raster model grid and create a plateau
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
z = mg.add_zeros("topographic__elevation", at="node")
s = mg.add_zeros("soil__depth", at="node")
b = mg.add_zeros("bedrock__elevation", at="node")
# make plateau at 10m
b += 10
# Lower boundary cell to 0
b[2] = 0
z[:] = b + s
ini_topo_bd = z[mg.boundary_nodes]
fd = PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
# Instanciate the slider, but this time provide the node at which landslides
# should occur (node 2)
hy = BedrockLandslider(
mg,
angle_int_frict=1,
landslides_return_time=0.01,
landslides_on_boundary_nodes=False,
critical_sliding_nodes=[2],
)
# run flow director and BedrockLandslider for long enough so that surface evolves
# towards the angle of internal friction timestep
for _ in range(5):
fd.run_one_step()
hy.run_one_step(dt=1)
# Final topo at boundary nodes should be inital topo
err_msg = "No landslide erosion allowed at boundary nodes"
testing.assert_almost_equal(
ini_topo_bd, z[mg.boundary_nodes], decimal=5, err_msg=err_msg
)
def test_fields2():
# %% No flow accumulation
mg2 = RasterModelGrid((7, 7), xy_spacing=(1, 1))
mg2.add_field("topographic__elevation", mg2.node_x + mg2.node_y, at="node")
fa2 = PriorityFloodFlowRouter(mg2, suppress_out=True, accumulate_flow=False)
fa2.run_one_step()
assert sorted(list(mg2.at_node.keys())) == [
"depression_free_elevation",
"flood_status_code",
"flow__link_to_receiver_node",
"flow__receiver_node",
"flow__receiver_proportions",
"flow__upstream_node_order",
"squared_length_adjacent",
"topographic__elevation",
"topographic__steepest_slope",
"water__unit_flux_in",
]
def test_fields5():
# %% Verify multiple flow
mg5 = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg5.add_field("topographic__elevation", mg5.node_x + mg5.node_y, at="node")
_ = PriorityFloodFlowRouter(mg5, suppress_out=True, flow_metric="Quinn")
assert mg5.at_node["topographic__steepest_slope"].shape[1] == 8
assert mg5.at_node["flow__receiver_node"].shape[1] == 8
assert mg5.at_node["flow__receiver_proportions"].shape[1] == 8
assert mg5.at_node["flow__link_to_receiver_node"].shape[1] == 8
def test_D8_metric():
# %%
"""Test D8 routing functionality"""
topographic__elevation = np.array(
[
[0.0, 0.0, 0.0, 0.0],
[0.0, 21.0, 10.0, 0.0],
[0.0, 31.0, 30.8, 0.0],
[0.0, 32.0, 30.9, 0.0],
[0.0, 0.0, 0.0, 0.0],
]
)
mg2 = RasterModelGrid((5, 4), xy_spacing=(1, 1))
mg2.add_field("topographic__elevation", topographic__elevation, at="node")
mg2.set_closed_boundaries_at_grid_edges(True, True, True, False)
fa2 = PriorityFloodFlowRouter(mg2, flow_metric="D8", suppress_out=True)
fa2.run_one_step()
pf_r = mg2.at_node["flow__receiver_node"]
reciever = np.array(
[
[0, 1, 2, 3],
[4, 1, 2, 7],
[8, 6, 6, 11],
[12, 14, 10, 15],
[16, 17, 18, 19],
]
)
assert_array_equal(reciever.flatten(), pf_r)
# Uncomment to compare with default Landlab flow accumulator
mg1 = RasterModelGrid((5, 4), xy_spacing=(1, 1))
from landlab.components.flow_accum import FlowAccumulator
mg1.add_field("topographic__elevation", topographic__elevation, at="node")
mg1.set_closed_boundaries_at_grid_edges(True, True, True, False)
fa1 = FlowAccumulator(mg1, flow_director="D8")
fa1.run_one_step()
defaultLandl_r = mg1.at_node["flow__receiver_node"]
assert_array_equal(defaultLandl_r, pf_r)
def test_flow_accumulator_varying_Runoff_rate():
"""
There are two options to provide a runoff value
The first one is to provide a weight array as a runoff_value input argument
"""
mg = RasterModelGrid((5, 5), xy_spacing=(1, 1))
mg.add_field("topographic__elevation",
mg.node_x * 2 + mg.node_y,
at="node")
runoff_rate = mg.node_x * 0 + 2
fa = PriorityFloodFlowRouter(
mg,
flow_metric="D8",
suppress_out=True,
runoff_rate=runoff_rate,
separate_hill_flow=True,
hill_flow_metric="D8",
accumulate_flow_hill=True,
)
# from landlab.components.flow_accum import FlowAccumulator
# fa = FlowAccumulator(mg)
fa.run_one_step()
node_drainage_area = np.array([
[3.0, 2.0, 1.0, 0.0, 0.0],
[2.0, 3.0, 2.0, 1.0, 0.0],
[1.0, 2.0, 2.0, 1.0, 0.0],
[0.0, 1.0, 1.0, 1.0, 0.0],
[0.0, 0.0, 0.0, 0.0, 0.0],
])
assert_array_equal(fa.node_water_discharge,
2 * node_drainage_area.flatten())
assert_array_equal(fa.node_drainage_area, node_drainage_area.flatten())
# Hill flow accumulation should be similar
assert_array_equal(mg.at_node["hill_surface_water__discharge"],
2 * node_drainage_area.flatten())
assert_array_equal(mg.at_node["hill_drainage_area"],
node_drainage_area.flatten())
def test_inputFields_bedrock():
"""
BedrockLandslider should create the bedrock__elevation field when not provided
"""
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
mg.add_zeros("topographic__elevation", at="node")
mg.add_zeros("soil__depth", at="node")
# mg.add_zeros("bedrock__elevation", at='node')
PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
BedrockLandslider(mg)
# instantiate the slider
assert "bedrock__elevation" in mg.at_node
def test_inputFields_soil():
"""
BedrockLandslider should throw an error when the soil__depth field is not provided
"""
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
mg.add_zeros("topographic__elevation", at="node")
# mg.add_zeros("soil__depth", at='node')
mg.add_zeros("bedrock__elevation", at="node")
PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
# instantiate the slider
with pytest.raises(FieldError):
BedrockLandslider(mg)
def test_seperate_hillflow_update():
# %%
"""
Hillflow fields cannot be updated if not initialized
"""
# %% Default configuration
mg1 = RasterModelGrid((6, 6), xy_spacing=(1, 1))
mg1.add_field("topographic__elevation", mg1.node_x + mg1.node_y, at="node")
fa1 = PriorityFloodFlowRouter(mg1, suppress_out=True)
fa1.run_one_step()
with pytest.raises(ValueError):
fa1.update_hill_fdfa()
def test_inputFields_flowRouter():
"""
BedrockLandslider should throw an error when topograhy is not equal to the sum of
bedrock and soil thickness
"""
# Make a raster model grid and create a plateau
n_rows = 5
n_columns = 5
spacing = 1
mg = RasterModelGrid((n_rows, n_columns), xy_spacing=spacing)
mg.add_zeros("topographic__elevation", at="node")
mg.add_zeros("soil__depth", at="node")
b = mg.add_zeros("bedrock__elevation", at="node")
# make plateau at 10m
b += 10
PriorityFloodFlowRouter(mg, separate_hill_flow=True, suppress_out=True)
# instantiate the slider
with pytest.raises(RuntimeError):
BedrockLandslider(mg)
def test_matches_detachment_solution_PF():
# %%
"""
Test that model matches the detachment-limited analytical solution
for slope/area relationship at steady state: S=(U/K_br)^(1/n)*A^(-m/n).
"""
# set up a 5x5 grid with one open outlet node and low initial elevations.
nr = 5
nc = 5
mg = RasterModelGrid((nr, nc), xy_spacing=10.0)
z = mg.add_zeros("topographic__elevation", at="node")
br = mg.add_zeros("bedrock__elevation", at="node")
soil = mg.add_zeros("soil__depth", at="node")
mg["node"]["topographic__elevation"] += (
mg.node_y / 10000 + mg.node_x / 10000 +
np.random.rand(len(mg.node_y)) / 10000)
mg.set_closed_boundaries_at_grid_edges(
bottom_is_closed=True,
left_is_closed=True,
right_is_closed=True,
top_is_closed=True,
)
mg.set_watershed_boundary_condition_outlet_id(
0, mg["node"]["topographic__elevation"], -9999.0)
br[:] = z[:] - soil[:]
fa = PriorityFloodFlowRouter(mg,
surface="topographic__elevation",
flow_metric="D8",
suppress_out=True)
fa.run_one_step()
# Parameter values for detachment-limited test
K_br = 0.01
U = 0.0001
dt = 1.0
F_f = 1.0 # all detached rock disappears; detachment-ltd end-member
m_sp = 0.5
n_sp = 1.0
# Instantiate the SpaceLargeScaleEroder component...
sp = SpaceLargeScaleEroder(
mg,
K_sed=0.00001,
K_br=K_br,
F_f=F_f,
phi=0.1,
H_star=1.0,
v_s=0.001,
v_s_lake=0.001,
m_sp=m_sp,
n_sp=n_sp,
sp_crit_sed=0,
sp_crit_br=0,
)
# ... and run it to steady state (2000x1-year timesteps).
for _ in range(2000):
fa.run_one_step()
sp.run_one_step(dt=dt)
z[mg.core_nodes] += U * dt # m
br[mg.core_nodes] = z[mg.core_nodes] - soil[mg.core_nodes]
# compare numerical and analytical slope solutions
num_slope = mg.at_node["topographic__steepest_slope"][mg.core_nodes]
analytical_slope = np.power(U / K_br, 1.0 / n_sp) * np.power(
mg.at_node["drainage_area"][mg.core_nodes], -m_sp / n_sp)
# test for match with analytical slope-area relationship
testing.assert_array_almost_equal(
num_slope,
analytical_slope,
decimal=8,
err_msg="SpaceLargeScaleEroder detachment-limited test failed",
verbose=True,
)
def test_matches_bedrock_alluvial_solution_PF():
"""
Test that model matches the bedrock-alluvial analytical solution
for slope/area relationship at steady state:
S=((U * v_s * (1 - F_f)) / (K_sed * A^m) + U / (K_br * A^m))^(1/n).
Also test that the soil depth everywhere matches the bedrock-alluvial
analytical solution at steady state:
H = -H_star * ln(1 - (v_s / (K_sed / (K_br * (1 - F_f)) + v_s))).
"""
# %%
# set up a 5x5 grid with one open outlet node and low initial elevations.
nr = 5
nc = 5
mg = RasterModelGrid((nr, nc), xy_spacing=10.0)
z = mg.add_zeros("topographic__elevation", at="node")
br = mg.add_zeros("bedrock__elevation", at="node")
soil = mg.add_zeros("soil__depth", at="node")
mg["node"]["topographic__elevation"] += (
mg.node_y / 100000 + mg.node_x / 100000 +
np.random.rand(len(mg.node_y)) / 10000)
mg.set_closed_boundaries_at_grid_edges(
bottom_is_closed=True,
left_is_closed=True,
right_is_closed=True,
top_is_closed=True,
)
mg.set_watershed_boundary_condition_outlet_id(
0, mg["node"]["topographic__elevation"], -9999.0)
soil[:] += 0.0 # initial condition of no soil depth.
br[:] = z[:]
z[:] += soil[:]
# Create a D8 flow handler
fa = PriorityFloodFlowRouter(mg,
surface="topographic__elevation",
flow_metric="D8",
suppress_out=True)
fa.run_one_step()
# Parameter values for detachment-limited test
K_br = 0.002
K_sed = 0.002
U = 0.0001
dt = 10.0
F_f = 0.2 # all detached rock disappears; detachment-ltd end-member
m_sp = 0.5
n_sp = 1.0
v_s = 0.25
H_star = 0.1
# Instantiate the SpaceLargeScaleEroder component...
sp = SpaceLargeScaleEroder(
mg,
K_sed=K_sed,
K_br=K_br,
F_f=F_f,
phi=0.0,
H_star=H_star,
v_s=v_s,
m_sp=m_sp,
n_sp=n_sp,
sp_crit_sed=0,
sp_crit_br=0,
)
# ... and run it to steady state (10000x1-year timesteps).
for _ in range(10000):
fa.run_one_step()
sp.run_one_step(dt=dt)
br[mg.core_nodes] += U * dt # m
soil[
0] = 0.0 # enforce 0 soil depth at boundary to keep lowering steady
z[:] = br[:] + soil[:]
# compare numerical and analytical slope solutions
num_slope = mg.at_node["topographic__steepest_slope"][mg.core_nodes]
analytical_slope = np.power(
((U * v_s * (1 - F_f)) /
(K_sed * np.power(mg.at_node["drainage_area"][mg.core_nodes], m_sp)))
+
(U /
(K_br * np.power(mg.at_node["drainage_area"][mg.core_nodes], m_sp))),
1.0 / n_sp,
)
# test for match with analytical slope-area relationship
testing.assert_array_almost_equal(
num_slope,
analytical_slope,
decimal=8,
err_msg="SpaceLargeScaleEroder bedrock-alluvial slope-area test failed",
verbose=True,
)
# compare numerical and analytical soil depth solutions
num_h = mg.at_node["soil__depth"][mg.core_nodes]
analytical_h = -H_star * np.log(1 - (v_s / (K_sed / (K_br *
(1 - F_f)) + v_s)))
# test for match with analytical sediment depth
testing.assert_array_almost_equal(
num_h,
analytical_h,
decimal=5,
err_msg=
"SpaceLargeScaleEroder bedrock-alluvial soil thickness test failed",
verbose=True,
)
def test_sum_prop_is_one():
# %%
mg = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
fa = PriorityFloodFlowRouter(mg,
separate_hill_flow=True,
suppress_out=True)
fa.run_one_step()
# Single flow
props_Pf = mg.at_node["flow__receiver_proportions"]
testing.assert_array_almost_equal(
props_Pf,
np.ones_like(props_Pf),
decimal=5,
err_msg="Sum of flow proportions is not equal to one",
verbose=True,
)
# Multiple flow
props_Pf = mg.at_node["hill_flow__receiver_proportions"]
props_Pf[props_Pf == -1] = 0
props_Pf = props_Pf.sum(axis=1)
testing.assert_array_almost_equal(
props_Pf,
np.ones_like(props_Pf),
decimal=5,
err_msg="Sum of flow proportions is not equal to one",
verbose=True,
)
# %% multiple flow with D8 over hills
mg = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
fa = PriorityFloodFlowRouter(mg,
separate_hill_flow=True,
hill_flow_metric="D8",
suppress_out=True)
fa.run_one_step()
# Multiple flow
props_Pf = mg.at_node["hill_flow__receiver_proportions"]
testing.assert_array_almost_equal(
props_Pf,
np.ones_like(props_Pf),
decimal=5,
err_msg="Sum of flow proportions is not equal to one",
verbose=True,
)
# %% multiple flow with D8 over rivers
mg = RasterModelGrid((10, 10), xy_spacing=(1, 1))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
fa = PriorityFloodFlowRouter(mg, flow_metric="Quinn", suppress_out=True)
fa.run_one_step()
# Multiple flow
props_Pf = mg.at_node["flow__receiver_proportions"]
props_Pf[props_Pf == -1] = 0
props_Pf = np.sum(props_Pf, axis=1)
testing.assert_array_almost_equal(
props_Pf,
np.ones_like(props_Pf),
decimal=5,
err_msg="Sum of flow proportions is not equal to one",
verbose=True,
)
def test_hex_mfd():
# %%
mg = HexModelGrid((5, 3))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
with pytest.raises(FieldError):
PriorityFloodFlowRouter(mg, flow_metric="MFD", suppress_out=True)
def test_bad_metric_name():
# %%
mg = RasterModelGrid((5, 5), xy_spacing=(1, 1))
mg.add_field("topographic__elevation", mg.node_x + mg.node_y, at="node")
with pytest.raises(Exception):
PriorityFloodFlowRouter(mg, flow_metric="spam", suppress_out=True)
