def test_tl_fluvial():
input_file = os.path.join(_THIS_DIR, 'stream_power_params_ideal.txt')
inputs = ModelParameterDictionary(input_file)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
leftmost_elev = inputs.read_float('leftmost_elevation')
initial_slope = inputs.read_float('initial_slope')
uplift_rate = inputs.read_float('uplift_rate')
runtime = inputs.read_float('total_time')
dt = inputs.read_float('dt')
nt = int(runtime // dt)
uplift_per_step = uplift_rate * dt
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('node', 'topographic__elevation')
z = np.loadtxt(os.path.join(_THIS_DIR, 'tl_init.txt'))
mg['node']['topographic__elevation'] = z
mg.set_closed_boundaries_at_grid_edges(True, False, True, False)
mg.set_fixed_value_boundaries_at_grid_edges(
False, True, False, True, value_of='topographic__elevation')
fr = FlowRouter(mg)
tl = TransportLimitedEroder(mg, input_file)
for i in range(nt):
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift_per_step
mg = fr.route_flow()
mg, _ = tl.erode(mg, dt, stability_condition='loose')
z_tg = np.loadtxt(os.path.join(_THIS_DIR, 'tlz_tg.txt'))
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_voronoi_closedinternal():
"""Test routing on a (radial) voronoi, but with a closed interior node."""
vmg = RadialModelGrid(2, dr=2.)
z = np.full(20, 10., dtype=float)
all_bounds_but_one = np.array((0, 1, 2, 3, 4, 7, 11, 15, 16, 17, 18, 19))
vmg.status_at_node[all_bounds_but_one] = CLOSED_BOUNDARY
vmg.status_at_node[8] = CLOSED_BOUNDARY # new internal closed
z[12] = 0. # outlet
inner_elevs = (8., 7., 1., 6., 4., 5.)
z[vmg.core_nodes] = np.array(inner_elevs)
vmg.add_field("node", "topographic__elevation", z, units="-")
fr = FlowRouter(vmg)
cells_contributing = [
np.array([0]),
np.array([1]),
np.array([0, 1, 3, 4, 5, 6]),
np.array([1, 4]),
np.array([1, 4, 5, 6]),
np.array([1, 4, 6]),
]
A_target_internal = np.zeros(vmg.number_of_core_nodes, dtype=float)
for i in range(6):
A_target_internal[i] = vmg.area_of_cell[cells_contributing[i]].sum()
A_target_outlet = vmg.area_of_cell[vmg.cell_at_node[vmg.core_nodes]].sum()
fr.route_flow()
assert vmg.at_node["drainage_area"][vmg.core_nodes] == approx(A_target_internal)
assert vmg.at_node["drainage_area"][12] == approx(A_target_outlet)
def test_storms():
input_file_string = os.path.join(_THIS_DIR, 'drive_sp_params_storms.txt')
inputs = ModelParameterDictionary(input_file_string)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
time_to_run = inputs.read_float('run_time')
uplift = inputs.read_float('uplift_rate')
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node')
mg['node']['topographic__elevation'] = z + np.random.rand(len(z)) / 1000.
mg.add_zeros('water__unit_flux_in', at='node')
precip = PrecipitationDistribution(input_file=input_file_string)
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
for (interval_duration, rainfall_rate) in \
precip.yield_storm_interstorm_duration_intensity():
if rainfall_rate != 0.:
mg.at_node['water__unit_flux_in'].fill(rainfall_rate)
mg = fr.route_flow()
sp.run_one_step(dt)
mg.at_node['topographic__elevation'][
mg.core_nodes] += uplift * interval_duration
def test_sp_discharges_new():
input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = 5
ncols = 5
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('topographic__elevation', at='node')
z = np.array([5., 5., 0., 5., 5.,
5., 2., 1., 2., 5.,
5., 3., 2., 3., 5.,
5., 4., 4., 4., 5.,
5., 5., 5., 5., 5.])
mg['node']['topographic__elevation'] = z
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
# perform the loop (once!)
for i in range(1):
fr.route_flow()
sp.run_one_step(dt)
z_tg = np.array([5. , 5. , 0. , 5. ,
5. , 5. , 1.47759225, 0.43050087,
1.47759225, 5. , 5. , 2.32883687,
1.21525044, 2.32883687, 5. , 5. ,
3.27261262, 3.07175015, 3.27261262, 5. ,
5. , 5. , 5. , 5. ,
5. ])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_discharges_new():
input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = 5
ncols = 5
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('topographic__elevation', at='node')
z = np.array([
5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4.,
4., 5., 5., 5., 5., 5., 5.
])
mg['node']['topographic__elevation'] = z
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
# perform the loop (once!)
for i in range(1):
fr.route_flow()
sp.run_one_step(dt)
z_tg = np.array([
5., 5., 0., 5., 5., 5., 1.47759225, 0.43050087, 1.47759225, 5., 5.,
2.32883687, 1.21525044, 2.32883687, 5., 5., 3.27261262, 3.07175015,
3.27261262, 5., 5., 5., 5., 5., 5.
])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_tl_fluvial():
input_file = os.path.join(_THIS_DIR, 'stream_power_params_ideal.txt')
inputs = ModelParameterDictionary(input_file)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
leftmost_elev = inputs.read_float('leftmost_elevation')
initial_slope = inputs.read_float('initial_slope')
uplift_rate = inputs.read_float('uplift_rate')
runtime = inputs.read_float('total_time')
dt = inputs.read_float('dt')
nt = int(runtime // dt)
uplift_per_step = uplift_rate * dt
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('node', 'topographic__elevation')
z = np.loadtxt(os.path.join(_THIS_DIR, 'tl_init.txt'))
mg['node']['topographic__elevation'] = z
mg.set_closed_boundaries_at_grid_edges(True, False, True, False)
mg.set_fixed_value_boundaries_at_grid_edges(
False, True, False, True, value_of='topographic__elevation')
fr = FlowRouter(mg)
tl = TransportLimitedEroder(mg, input_file)
for i in range(nt):
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift_per_step
mg = fr.route_flow()
mg, _ = tl.erode(mg, dt, stability_condition='loose')
z_tg = np.loadtxt(os.path.join(_THIS_DIR, 'tlz_tg.txt'))
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sed_dep_new():
"""
This tests only the power_law version of the SDE.
It uses a landscape run to 5000 100y iterations, then having experienced
a 20-fold uplift acceleration for a further 30000 y. It tests the outcome
of the next 1000 y of erosion.
"""
mg = RasterModelGrid((25, 50), 200.)
for edge in (mg.nodes_at_left_edge, mg.nodes_at_top_edge,
mg.nodes_at_right_edge):
mg.status_at_node[edge] = CLOSED_BOUNDARY
z = mg.add_zeros('node', 'topographic__elevation')
fr = FlowRouter(mg)
sde = SedDepEroder(mg, K_sp=1.e-4, sed_dependency_type='almost_parabolic',
Qc='power_law', K_t=1.e-4)
initconds = os.path.join(os.path.dirname(__file__),
'perturbedcondst300.txt')
finalconds = os.path.join(os.path.dirname(__file__),
'tenmorestepsfrom300.txt')
z[:] = np.loadtxt(initconds)
dt = 100.
up = 0.05
for i in range(10):
fr.route_flow()
sde.run_one_step(dt)
z[mg.core_nodes] += 20.*up
assert_array_almost_equal(z, np.loadtxt(finalconds))
def setup_D4_grid():
"""
Test functionality of routing when D4 is specified.
The elevation field in this test looks like:
1 2 3 4 5 6 7
1 2 3 0 5 0 7
1 2 3 4 0 0 7
1 2 3 0 5 6 7
1 2 0 0 0 6 7
1 2 3 0 5 6 7
1 2 3 4 5 6 7
"""
global frD8, frD4, lfD8, lfD4, mg1, mg2
global z, lake_nodes
mg1 = RasterModelGrid(7, 7, 1.)
mg2 = RasterModelGrid(7, 7, 1.)
z = mg1.node_x.copy() + 1.
lake_nodes = np.array([10, 16, 17, 18, 24, 32, 33, 38, 40])
z[lake_nodes] = 0.
mg1.add_field('node', 'topographic__elevation', z, units='-')
mg2.add_field('node', 'topographic__elevation', z, units='-')
frD8 = FlowRouter(mg1, method='D8')
frD4 = FlowRouter(mg2, method='D4')
lfD8 = DepressionFinderAndRouter(mg1, routing='D8')
lfD4 = DepressionFinderAndRouter(mg2, routing='D4')
def test_stupid_shaped_hole(sink_grid4):
"""Tests inclined fill into a surface with a deliberately awkward shape."""
fr = FlowRouter(sink_grid4)
hf = SinkFiller(sink_grid4, apply_slope=True)
hf.fill_pits()
hole1 = np.array(
[
4.00007692,
4.00015385,
4.00023077,
4.00030769,
4.00038462,
4.00046154,
4.00053846,
4.00061538,
4.00069231,
4.00076923,
4.00084615,
]
)
hole2 = np.array([7.4, 7.2, 7.6])
assert_array_almost_equal(
sink_grid4.at_node["topographic__elevation"][sink_grid4.lake1], hole1
)
assert_array_almost_equal(
sink_grid4.at_node["topographic__elevation"][sink_grid4.lake2], hole2
)
fr.route_flow()
assert sink_grid4.at_node["flow__sink_flag"][sink_grid4.core_nodes].sum() == 0
def test_filler_inclined2(sink_grid3):
"""
Tests an inclined fill into an inclined surface, with two holes.
"""
z_init = sink_grid3.at_node["topographic__elevation"].copy()
fr = FlowRouter(sink_grid3)
hf = SinkFiller(sink_grid3, apply_slope=True)
hf.fill_pits()
hole1 = np.array(
[
4.00009091,
4.00018182,
4.00027273,
4.00036364,
4.00045455,
4.00054545,
4.00063636,
4.00072727,
4.00081818,
]
)
hole2 = np.array([7.16666667, 7.33333333, 7.5, 7.66666667])
assert_array_almost_equal(
sink_grid3.at_node["topographic__elevation"][sink_grid3.lake1], hole1
)
assert_array_almost_equal(
sink_grid3.at_node["topographic__elevation"][sink_grid3.lake2], hole2
)
fr.route_flow()
assert sink_grid3.at_node["flow__sink_flag"][sink_grid3.core_nodes].sum() == 0
def test_degenerate_drainage():
"""
This "hourglass" configuration should be one of the hardest to correctly
re-route.
"""
mg = RasterModelGrid(9, 5)
z_init = mg.node_x.copy()*0.0001 + 1.
lake_pits = np.array([7, 11, 12, 13, 17, 27, 31, 32, 33, 37])
z_init[lake_pits] = -1.
z_init[22] = 0. # the common spill pt for both lakes
z_init[21] = 0.1 # an adverse bump in the spillway
z_init[20] = -0.2 # the spillway
z = mg.add_field('node', 'topographic__elevation', z_init)
fr = FlowRouter(mg)
lf = DepressionFinderAndRouter(mg)
fr.route_flow()
lf.map_depressions()
correct_A = np.array([ 0., 0., 0., 0., 0.,
0., 1., 3., 1., 0.,
0., 5., 1., 2., 0.,
0., 1., 10., 1., 0.,
21., 21., 1., 1., 0.,
0., 1., 9., 1., 0.,
0., 3., 1., 2., 0.,
0., 1., 1., 1., 0.,
0., 0., 0., 0., 0.])
thelake = np.concatenate((lake_pits, [22])).sort()
assert_array_almost_equal(mg.at_node['drainage_area'], correct_A)
def test_sp_discharges_new():
input_str = os.path.join(_THIS_DIR, 'test_sp_params_discharge_new.txt')
inputs = ModelParameterDictionary(input_str)
nrows = 5
ncols = 5
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('topographic__elevation', at='node')
z = np.array([
5., 5., 0., 5., 5., 5., 2., 1., 2., 5., 5., 3., 2., 3., 5., 5., 4., 4.,
4., 5., 5., 5., 5., 5., 5.
])
mg['node']['topographic__elevation'] = z
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
# perform the loop (once!)
for i in range(1):
fr.route_flow()
sp.run_one_step(dt)
z_tg = np.array([
5.00000000e+00, 5.00000000e+00, 0.00000000e+00, 5.00000000e+00,
5.00000000e+00, 5.00000000e+00, 1.29289322e+00, 1.00000000e-06,
1.29289322e+00, 5.00000000e+00, 5.00000000e+00, 2.29289322e+00,
1.00000000e+00, 2.29289322e+00, 5.00000000e+00, 5.00000000e+00,
3.29289322e+00, 3.00000000e+00, 3.29289322e+00, 5.00000000e+00,
5.00000000e+00, 5.00000000e+00, 5.00000000e+00, 5.00000000e+00,
5.00000000e+00
])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_storms():
input_file_string = os.path.join(_THIS_DIR, 'drive_sp_params_storms.txt')
inputs = ModelParameterDictionary(input_file_string)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
time_to_run = inputs.read_float('run_time')
uplift = inputs.read_float('uplift_rate')
mg = RasterModelGrid(nrows, ncols, dx)
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node')
mg['node']['topographic__elevation'] = z + np.random.rand(len(z)) / 1000.
mg.add_zeros('water__unit_flux_in', at='node')
precip = PrecipitationDistribution(input_file=input_file_string)
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
for (interval_duration, rainfall_rate) in \
precip.yield_storm_interstorm_duration_intensity():
if rainfall_rate != 0.:
mg.at_node['water__unit_flux_in'].fill(rainfall_rate)
mg = fr.route_flow()
sp.run_one_step(dt)
mg.at_node['topographic__elevation'][
mg.core_nodes] += uplift * interval_duration
def test_check_field_input():
"""Check we can successfully pass water__volume_flux_in."""
mg.add_field('node', 'water__unit_flux_in',
np.full(25, 3.), units='m**3/s')
fr = FlowRouter(mg)
assert_array_equal(np.full(25, 3.), mg.at_node['water__unit_flux_in'])
fr = FlowRouter(mg, infile)
assert_array_equal(np.full(25, 2.), mg.at_node['water__unit_flux_in'])
def test_sp_voronoi():
nnodes = 100
np.random.seed(0)
x = np.random.rand(nnodes)
np.random.seed(1)
y = np.random.rand(nnodes)
mg = VoronoiDelaunayGrid(x, y)
np.random.seed(2)
z = mg.add_field('node', 'topographic__elevation',
np.random.rand(nnodes) / 10000., copy=False)
fr = FlowRouter(mg)
spe = StreamPowerEroder(mg, os.path.join(_THIS_DIR,
'drive_sp_params_voronoi.txt'))
for i in range(10):
z[mg.core_nodes] += 0.01
fr.route_flow()
spe.erode(mg, 1.)
z_tg = np.array([4.35994902e-05, 2.59262318e-06, 5.49662478e-05,
6.56738615e-03, 4.20367802e-05, 1.21371424e-02,
2.16596169e-02, 4.73320898e-02, 6.00389761e-02,
5.22007356e-02, 5.37507115e-02, 5.95794752e-02,
5.29862904e-02, 6.76465914e-02, 7.31720024e-02,
6.18730861e-02, 8.53975293e-05, 5.32189275e-02,
7.34302556e-02, 8.07385044e-02, 5.05246090e-05,
4.08940657e-02, 7.39971005e-02, 3.31915602e-02,
6.72650419e-02, 5.96745309e-05, 4.72752445e-02,
3.60359567e-02, 7.59432065e-02, 7.24461985e-02,
7.80305760e-02, 4.93866869e-02, 8.69642467e-02,
7.21627626e-02, 8.96368291e-02, 4.65142080e-02,
6.07720217e-02, 8.83372939e-02, 2.35887558e-02,
7.97616193e-02, 8.35615355e-02, 4.61809032e-02,
6.34634214e-02, 9.25711770e-02, 4.11717225e-03,
7.24493623e-02, 7.97908053e-02, 9.10375623e-02,
9.13155023e-02, 7.10567915e-02, 7.35271752e-02,
6.13091341e-02, 9.45498463e-02, 8.48532386e-02,
8.82702021e-02, 7.14969941e-02, 2.22640943e-02,
8.53311932e-02, 7.49161159e-02, 3.48837223e-02,
9.30132692e-02, 6.01817121e-05, 3.87455443e-02,
8.44673586e-02, 9.35213577e-02, 6.76075824e-02,
1.58614508e-02, 8.51346837e-02, 8.83645680e-02,
8.69944117e-02, 5.04000439e-05, 5.02319084e-02,
8.63882765e-02, 5.00991880e-02, 7.65156630e-02,
5.07591983e-02, 6.54909962e-02, 6.91505342e-02,
7.33358371e-02, 5.30109890e-02, 2.99074601e-02,
2.55509418e-06, 8.21523907e-02, 8.09368483e-02,
4.35073025e-02, 3.04096109e-02, 3.26298627e-02,
4.92259177e-02, 5.48690358e-02, 6.44732130e-02,
6.28133567e-02, 4.17977098e-06, 5.37149677e-02,
4.32828136e-02, 1.30559903e-02, 2.62405261e-02,
2.86079272e-02, 6.61481327e-05, 1.70477133e-05,
8.81652236e-05])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_voronoi():
nnodes = 100
np.random.seed(0)
x = np.random.rand(nnodes)
np.random.seed(1)
y = np.random.rand(nnodes)
mg = VoronoiDelaunayGrid(x, y)
np.random.seed(2)
z = mg.add_field('node', 'topographic__elevation',
np.random.rand(nnodes) / 10000., copy=False)
fr = FlowRouter(mg)
spe = StreamPowerEroder(mg, os.path.join(_THIS_DIR,
'drive_sp_params_voronoi.txt'))
for i in range(10):
z[mg.core_nodes] += 0.01
fr.route_flow()
spe.erode(mg, 1.)
z_tg = np.array([4.35994902e-05, 2.59262318e-06, 5.49662478e-05,
4.36094902e-05, 4.20367802e-05, 2.16664196e-03,
1.23484520e-02, 4.07654109e-02, 5.69974645e-02,
4.71086393e-02, 5.55056467e-02, 5.53655860e-02,
4.87984556e-02, 6.62132007e-02, 7.33132951e-02,
6.10003971e-02, 8.53975293e-05, 4.90709812e-02,
7.84728490e-02, 8.26091298e-02, 5.05246090e-05,
3.69289510e-02, 7.56743264e-02, 2.52850671e-02,
6.80517443e-02, 5.96745309e-05, 3.86335644e-02,
4.12526935e-02, 7.78476139e-02, 7.18165632e-02,
7.62359762e-02, 6.65702961e-02, 9.04684278e-02,
7.37203974e-02, 9.16862054e-02, 4.11168411e-02,
4.36498947e-02, 9.04430763e-02, 1.42123575e-02,
8.02734138e-02, 8.34895711e-02, 4.51564589e-02,
6.47124169e-02, 9.52317640e-02, 6.01917122e-05,
7.11667309e-02, 8.00463179e-02, 9.40668605e-02,
9.33247720e-02, 7.34011920e-02, 7.30924467e-02,
6.21387674e-02, 9.66278589e-02, 8.64266637e-02,
9.06100497e-02, 7.19991365e-02, 1.07162442e-02,
8.68685360e-02, 7.40515066e-02, 2.73264483e-02,
9.55406046e-02, 6.01817121e-05, 3.28663723e-02,
8.60706344e-02, 9.56285286e-02, 4.24741937e-02,
5.64139004e-03, 8.72373392e-02, 9.04304841e-02,
8.83708170e-02, 5.04000439e-05, 6.47845229e-02,
8.77304766e-02, 4.40894724e-02, 8.08029139e-02,
4.52732792e-02, 6.35806712e-02, 6.71004941e-02,
7.32682350e-02, 4.88067087e-02, 2.14920377e-02,
2.55509418e-06, 8.25346959e-02, 8.12610977e-02,
3.75778123e-02, 2.20818912e-02, 2.45940192e-02,
4.43365163e-02, 4.93255141e-02, 6.23517572e-02,
5.99594648e-02, 4.17977098e-06, 4.96450779e-02,
3.72952724e-02, 2.26332108e-03, 1.69925430e-02,
1.99835635e-02, 6.61481327e-05, 1.70477133e-05,
8.81652236e-05] )
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_check_field_input(dans_grid1):
"""Check we can successfully pass water__discharge_in."""
dans_grid1.mg.add_field(
"node", "water__unit_flux_in", np.full(25, 3.), units="m**3/s"
)
fr = FlowRouter(dans_grid1.mg)
assert_array_equal(np.full(25, 3.), dans_grid1.mg.at_node["water__unit_flux_in"])
fr = FlowRouter(dans_grid1.mg, dans_grid1.infile)
assert_array_equal(np.full(25, 2.), dans_grid1.mg.at_node["water__unit_flux_in"])
def test_check_fields(dans_grid1):
"""Check to make sure the right fields have been created."""
fr = FlowRouter(dans_grid1.mg)
assert_array_equal(dans_grid1.z, dans_grid1.mg.at_node["topographic__elevation"])
assert_array_equal(np.zeros(25), dans_grid1.mg.at_node["drainage_area"])
assert_array_equal(np.ones(25), dans_grid1.mg.at_node["water__unit_flux_in"])
fr = FlowRouter(dans_grid1.mg, dans_grid1.infile)
assert_array_equal(np.full(25, 2.), dans_grid1.mg.at_node["water__unit_flux_in"])
def test_check_fields():
"""Check to make sure the right fields have been created."""
fr = FlowRouter(mg)
assert_array_equal(z, mg.at_node['topographic__elevation'])
assert_array_equal(np.zeros(25), mg.at_node['drainage_area'])
assert_array_equal(np.ones(25), mg.at_node['water__unit_flux_in'])
fr = FlowRouter(mg, infile)
assert_array_equal(np.full(25, 2.), mg.at_node['water__unit_flux_in'])
def test_irreg_topo_new():
"""Test D4 routing on a toy irregular topo. 'method' passed to init."""
fr = FlowRouter(mg, method="D4")
fr.route_flow()
assert_array_equal(A_target_D4, mg.at_node["drainage_area"])
assert_array_equal(frcvr_target_D4, mg.at_node["flow__receiver_node"])
assert_array_equal(upids_target_D4, mg.at_node["flow__upstream_node_order"])
assert_array_equal(links2rcvr_target_D4, mg.at_node["flow__link_to_receiver_node"])
assert_array_almost_equal(steepest_target_D4, mg.at_node["topographic__steepest_slope"])
def test_internal_closed():
"""Test closed nodes in the core of the grid."""
fr = FlowRouter(mg)
fr.route_flow()
assert_array_almost_equal(A_target, mg.at_node["drainage_area"])
assert_array_equal(frcvr_target, mg.at_node["flow__receiver_node"])
assert_array_equal(links2rcvr_target, mg.at_node["flow__link_to_receiver_node"])
assert_array_almost_equal(A_target, mg.at_node["water__discharge"])
assert_array_almost_equal(steepest_target, mg.at_node["topographic__steepest_slope"])
def test_internal_closed():
"""Test closed nodes in the core of the grid."""
fr = FlowRouter(mg)
fr.route_flow()
assert_array_almost_equal(A_target, mg.at_node['drainage_area'])
assert_array_equal(frcvr_target, mg.at_node['flow_receiver'])
assert_array_equal(links2rcvr_target, mg.at_node['links_to_flow_receiver'])
assert_array_almost_equal(A_target, mg.at_node['water__volume_flux'])
assert_array_almost_equal(steepest_target,
mg.at_node['topographic__steepest_slope'])
def test_accumulate_D8():
"""Test accumulation works for D8 in a simple scenario."""
fr = FlowRouter(mg)
fr.route_flow()
assert_array_equal(A_target, mg.at_node["drainage_area"])
assert_array_equal(frcvr_target, mg.at_node["flow__receiver_node"])
assert_array_equal(upids_target, mg.at_node["flow__upstream_node_order"])
assert_array_equal(links2rcvr_target, mg.at_node["flow__link_to_receiver_node"])
assert_array_equal(A_target, mg.at_node["water__discharge"])
assert_array_equal(steepest_target, mg.at_node["topographic__steepest_slope"])
def test_three_pits():
"""
A test to ensure the component correctly handles cases where there are
multiple pits.
"""
mg = RasterModelGrid(10,10,1.)
z = mg.add_field('node', 'topographic__elevation', mg.node_x.copy())
# a sloping plane
#np.random.seed(seed=0)
#z += np.random.rand(100)/10000.
# punch some holes
z[33] = 1.
z[43] = 1.
z[37] = 4.
z[74:76] = 1.
fr = FlowRouter(mg)
lf = DepressionFinderAndRouter(mg)
fr.route_flow()
lf.map_depressions()
flow_sinks_target = np.zeros(100, dtype=bool)
flow_sinks_target[mg.boundary_nodes] = True
# no internal sinks now:
assert_array_equal(mg.at_node['flow__sink_flag'], flow_sinks_target)
# test conservation of mass:
assert_almost_equal(mg.at_node['drainage_area'
].reshape((10,10))[1:-1,1].sum(), 8.**2)
# ^all the core nodes
# test the actual flow field:
nA = np.array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,
8., 8., 7., 6., 5., 4., 3., 2., 1., 0.,
2., 2., 1., 1., 2., 1., 1., 1., 1., 0.,
26., 26., 25., 15., 11., 10., 9., 8., 1., 0.,
2., 2., 1., 9., 2., 1., 1., 1., 1., 0.,
2., 2., 1., 1., 5., 4., 3., 2., 1., 0.,
2., 2., 1., 1., 1., 1., 3., 2., 1., 0.,
20., 20., 19., 18., 17., 12., 3., 2., 1., 0.,
2., 2., 1., 1., 1., 1., 3., 2., 1., 0.,
0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
assert_array_equal(mg.at_node['drainage_area'], nA)
#test a couple more properties:
lc = np.empty(100, dtype=int)
lc.fill(XX)
lc[33] = 33
lc[43] = 33
lc[37] = 37
lc[74:76] = 74
assert_array_equal(lf.lake_map, lc)
assert_array_equal(lf.lake_codes, [33, 37, 74])
assert_equal(lf.number_of_lakes, 3)
assert_array_almost_equal(lf.lake_areas, [2., 1., 2.])
assert_array_almost_equal(lf.lake_volumes, [2., 2., 4.])
def initialize(self, input_stream=None):
"""
The BMI-style initialize method takes an optional input_stream
parameter, which may be either a ModelParameterDictionary object or
an input stream from which a ModelParameterDictionary can read values.
"""
# Create a ModelParameterDictionary for the inputs
if input_stream is None:
inputs = None
elif type(input_stream) == ModelParameterDictionary:
inputs = input_stream
else:
inputs = ModelParameterDictionary(input_stream)
# Make sure the grid includes elevation data. This means either:
# 1. The grid has a node field called 'topographic__elevation', or
# 2. The input file has an item called 'ELEVATION_FIELD_NAME' *and*
# a field by this name exists in the grid.
try:
self._elev = self._grid.at_node['topographic__elevation']
except FieldError:
try:
self.topo_field_name = inputs.read_string('ELEVATION_' +
'FIELD_NAME')
except AttributeError:
print('Error: Because your grid does not have a node field')
print('called "topographic__elevation", you need to pass the')
print('name of a text input file or ModelParameterDictionary,')
print('and this file or dictionary needs to include the name')
print('of another field in your grid that contains your')
print('elevation data.')
raise AttributeError
except MissingKeyError:
print('Error: Because your grid does not have a node field')
print('called "topographic__elevation", your input file (or')
print('ModelParameterDictionary) must include an entry with')
print('the key "ELEVATION_FIELD_NAME", which gives the name')
print('of a field in your grid that contains your elevation')
print('data.')
raise MissingKeyError('ELEVATION_FIELD_NAME')
try:
self._elev = self._grid.at_node[self.topo_field_name]
except AttributeError:
print('Your grid does not seem to have a node field called',
self.topo_field_name)
else:
self.topo_field_name = 'topographic__elevation'
# create the only new output field:
self.sed_fill_depth = self._grid.add_zeros('node',
'sediment_fill__depth',
noclobber=False)
self._lf = DepressionFinderAndRouter(self._grid, routing=self._routing)
self._fr = FlowRouter(self._grid, method=self._routing)
def test_variable_Qin():
"""Test variable Qin field."""
Qin_local = np.zeros(25, dtype=float)
Qin_local[13] = 2.
mg.add_field('node', 'water__unit_flux_in', Qin_local, units='m**3/s')
fr = FlowRouter(mg)
fr.route_flow()
Qout_local = np.zeros_like(Qin_local)
Qout_local[10:14] = 200.
assert_array_equal(Qout_local, mg.at_node['surface_water__discharge'])
assert_array_equal(A_target, mg.at_node['drainage_area'])
def test_variable_Qin(dans_grid1):
"""Test variable Qin field."""
Qin_local = np.zeros(25, dtype=float)
Qin_local[13] = 2.
dans_grid1.mg.add_field("node", "water__unit_flux_in", Qin_local, units="m**3/s")
fr = FlowRouter(dans_grid1.mg)
fr.route_flow()
Qout_local = np.zeros_like(Qin_local)
Qout_local[10:14] = 200.
assert_array_equal(Qout_local, dans_grid1.mg.at_node["surface_water__discharge"])
assert_array_equal(dans_grid1.A_target, dans_grid1.mg.at_node["drainage_area"])
def test_accumulate_D8():
"""Test accumulation works for D8 in a simple scenario."""
fr = FlowRouter(mg)
fr.route_flow()
assert_array_equal(A_target, mg.at_node['drainage_area'])
assert_array_equal(frcvr_target, mg.at_node['flow_receiver'])
assert_array_equal(upids_target, mg.at_node['upstream_node_order'])
assert_array_equal(links2rcvr_target, mg.at_node['links_to_flow_receiver'])
assert_array_equal(A_target, mg.at_node['water__volume_flux'])
assert_array_equal(steepest_target,
mg.at_node['topographic__steepest_slope'])
def test_irreg_topo_new():
"""Test D4 routing on a toy irregular topo. 'method' passed to init."""
fr = FlowRouter(mg, method='D4')
fr.route_flow()
assert_array_equal(A_target_D4, mg.at_node['drainage_area'])
assert_array_equal(frcvr_target_D4, mg.at_node['flow_receiver'])
assert_array_equal(upids_target_D4, mg.at_node['upstream_node_order'])
assert_array_equal(links2rcvr_target_D4,
mg.at_node['links_to_flow_receiver'])
assert_array_almost_equal(steepest_target_D4,
mg.at_node['topographic__steepest_slope'])
def test_irreg_topo():
"""Test D8 routing on a toy irregular topo."""
fr = FlowRouter(mg)
fr.route_flow()
assert_array_equal(A_target_D8, mg.at_node['drainage_area'])
assert_array_equal(frcvr_target_D8, mg.at_node['flow__receiver_node'])
assert_array_equal(upids_target_D8, mg.at_node['flow__upstream_node_order'])
assert_array_equal(links2rcvr_target_D8,
mg.at_node['flow__link_to_receiver_node'])
assert_array_almost_equal(steepest_target_D8,
mg.at_node['topographic__steepest_slope'])
def test_irreg_topo():
"""Test D8 routing on a toy irregular topo."""
fr = FlowRouter(mg)
fr.route_flow()
assert_array_equal(A_target_D8, mg.at_node['drainage_area'])
assert_array_equal(frcvr_target_D8, mg.at_node['flow__receiver_node'])
assert_array_equal(upids_target_D8,
mg.at_node['flow__upstream_node_order'])
assert_array_equal(links2rcvr_target_D8,
mg.at_node['flow__link_to_receiver_node'])
assert_array_almost_equal(steepest_target_D8,
mg.at_node['topographic__steepest_slope'])
def test_sp_voronoi():
nnodes = 100
np.random.seed(0)
x = np.random.rand(nnodes)
np.random.seed(1)
y = np.random.rand(nnodes)
mg = VoronoiDelaunayGrid(x, y)
np.random.seed(2)
z = mg.add_field('node',
'topographic__elevation',
np.random.rand(nnodes) / 10000.,
copy=False)
fr = FlowRouter(mg)
spe = StreamPowerEroder(
mg, os.path.join(_THIS_DIR, 'drive_sp_params_voronoi.txt'))
for i in range(10):
z[mg.core_nodes] += 0.01
fr.route_flow()
spe.erode(mg, 1.)
z_tg = np.array([
4.35994902e-05, 2.59262318e-06, 5.49662478e-05, 4.36094902e-05,
4.20367802e-05, 2.16664196e-03, 1.23484520e-02, 4.07654109e-02,
5.69974645e-02, 4.71086393e-02, 5.55056467e-02, 5.53655860e-02,
4.87984556e-02, 6.62132007e-02, 7.33132951e-02, 6.10003971e-02,
8.53975293e-05, 4.90709812e-02, 7.84728490e-02, 8.26091298e-02,
5.05246090e-05, 3.69289510e-02, 7.56743264e-02, 2.52850671e-02,
6.80517443e-02, 5.96745309e-05, 3.86335644e-02, 4.12526935e-02,
7.78476139e-02, 7.18165632e-02, 7.62359762e-02, 6.65702961e-02,
9.04684278e-02, 7.37203974e-02, 9.16862054e-02, 4.11168411e-02,
4.36498947e-02, 9.04430763e-02, 1.42123575e-02, 8.02734138e-02,
8.34895711e-02, 4.51564589e-02, 6.47124169e-02, 9.52317640e-02,
6.01917122e-05, 7.11667309e-02, 8.00463179e-02, 9.40668605e-02,
9.33247720e-02, 7.34011920e-02, 7.30924467e-02, 6.21387674e-02,
9.66278589e-02, 8.64266637e-02, 9.06100497e-02, 7.19991365e-02,
1.07162442e-02, 8.68685360e-02, 7.40515066e-02, 2.73264483e-02,
9.55406046e-02, 6.01817121e-05, 3.28663723e-02, 8.60706344e-02,
9.56285286e-02, 4.24741937e-02, 5.64139004e-03, 8.72373392e-02,
9.04304841e-02, 8.83708170e-02, 5.04000439e-05, 6.47845229e-02,
8.77304766e-02, 4.40894724e-02, 8.08029139e-02, 4.52732792e-02,
6.35806712e-02, 6.71004941e-02, 7.32682350e-02, 4.88067087e-02,
2.14920377e-02, 2.55509418e-06, 8.25346959e-02, 8.12610977e-02,
3.75778123e-02, 2.20818912e-02, 2.45940192e-02, 4.43365163e-02,
4.93255141e-02, 6.23517572e-02, 5.99594648e-02, 4.17977098e-06,
4.96450779e-02, 3.72952724e-02, 2.26332108e-03, 1.69925430e-02,
1.99835635e-02, 6.61481327e-05, 1.70477133e-05, 8.81652236e-05
])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_sp_new():
"""
Tests new style component instantiation and run.
"""
input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
time_to_run = inputs.read_float('run_time')
uplift = inputs.read_float('uplift_rate')
init_elev = inputs.read_float('init_elev')
mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx))
mg.set_closed_boundaries_at_grid_edges(False, False, True, True)
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node') + init_elev
numpy.random.seed(0)
mg['node']['topographic__elevation'] = z + \
numpy.random.rand(len(z)) / 1000.
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
elapsed_time = 0.
while elapsed_time < time_to_run:
if elapsed_time + dt > time_to_run:
dt = time_to_run - elapsed_time
fr.route_flow()
sp.run_one_step(dt)
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt
elapsed_time += dt
z_trg = numpy.array([5.48813504e-04, 7.15189366e-04, 6.02763376e-04,
5.44883183e-04, 4.23654799e-04, 6.45894113e-04,
1.02783376e-02, 9.66667235e-03, 6.15060782e-03,
3.83441519e-04, 7.91725038e-04, 1.00905776e-02,
8.98955843e-03, 5.32836181e-03, 7.10360582e-05,
8.71292997e-05, 9.96377080e-03, 9.63738797e-03,
7.31213677e-03, 8.70012148e-04, 9.78618342e-04,
1.02124693e-02, 8.78386002e-03, 4.88161060e-03,
1.18274426e-04, 6.39921021e-04, 1.00377580e-02,
9.54340293e-03, 6.05173814e-03, 4.14661940e-04,
2.64555612e-04, 1.02160196e-02, 8.61600088e-03,
4.77005225e-03, 1.87898004e-05, 6.17635497e-04,
9.30445558e-03, 9.48713993e-03, 7.25689742e-03,
6.81820299e-04, 3.59507901e-04, 5.79161813e-03,
6.83777542e-03, 6.18063842e-03, 6.66766715e-04,
6.70637870e-04, 2.10382561e-04, 1.28926298e-04,
3.15428351e-04, 3.63710771e-04])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_variable_Qin():
"""Test variable Qin field."""
Qin_local = np.zeros(25, dtype=float)
Qin_local[13] = 2.
mg.add_field('node', 'water__unit_flux_in',
Qin_local, units='m**3/s')
fr = FlowRouter(mg)
fr.route_flow()
Qout_local = np.zeros_like(Qin_local)
Qout_local[10:14] = 200.
assert_array_equal(Qout_local, mg.at_node['water__volume_flux'])
assert_array_equal(A_target, mg.at_node['drainage_area'])
def test_sp_new():
"""
Tests new style component instantiation and run.
"""
input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
time_to_run = inputs.read_float('run_time')
uplift = inputs.read_float('uplift_rate')
init_elev = inputs.read_float('init_elev')
mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx))
mg.set_closed_boundaries_at_grid_edges(False, False, True, True)
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node') + init_elev
numpy.random.seed(0)
mg['node']['topographic__elevation'] = z + \
numpy.random.rand(len(z)) / 1000.
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
elapsed_time = 0.
while elapsed_time < time_to_run:
if elapsed_time + dt > time_to_run:
dt = time_to_run - elapsed_time
fr.route_flow()
sp.run_one_step(dt)
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt
elapsed_time += dt
z_trg = numpy.array([5.48813504e-04, 7.15189366e-04, 6.02763376e-04,
5.44883183e-04, 4.23654799e-04, 6.45894113e-04,
1.01830760e-02, 9.58036770e-03, 6.55865452e-03,
3.83441519e-04, 7.91725038e-04, 1.00142749e-02,
8.80798884e-03, 5.78387585e-03, 7.10360582e-05,
8.71292997e-05, 9.81911417e-03, 9.52243406e-03,
7.55093226e-03, 8.70012148e-04, 9.78618342e-04,
1.00629755e-02, 8.49253798e-03, 5.33216680e-03,
1.18274426e-04, 6.39921021e-04, 9.88956320e-03,
9.47119567e-03, 6.43790696e-03, 4.14661940e-04,
2.64555612e-04, 1.00450743e-02, 8.37262908e-03,
5.21540904e-03, 1.87898004e-05, 6.17635497e-04,
9.21286940e-03, 9.34022513e-03, 7.51114450e-03,
6.81820299e-04, 3.59507901e-04, 6.19166921e-03,
7.10456176e-03, 6.62585507e-03, 6.66766715e-04,
6.70637870e-04, 2.10382561e-04, 1.28926298e-04,
3.15428351e-04, 3.63710771e-04])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_irreg_topo_old():
"""
Test D4 routing on a toy irregular topo, old style, where 'method' is
passed to the run method, not the init.
"""
fr = FlowRouter(mg)
fr.route_flow(method="D4")
assert_array_equal(A_target_D4, mg.at_node["drainage_area"])
assert_array_equal(frcvr_target_D4, mg.at_node["flow__receiver_node"])
assert_array_equal(upids_target_D4, mg.at_node["flow__upstream_node_order"])
assert_array_equal(links2rcvr_target_D4, mg.at_node["flow__link_to_receiver_node"])
assert_array_almost_equal(steepest_target_D4, mg.at_node["topographic__steepest_slope"])
def test_sp_new():
"""
Tests new style component instantiation and run.
"""
input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
time_to_run = inputs.read_float('run_time')
uplift = inputs.read_float('uplift_rate')
init_elev = inputs.read_float('init_elev')
mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx))
mg.set_closed_boundaries_at_grid_edges(False, False, True, True)
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node') + init_elev
numpy.random.seed(0)
mg['node']['topographic__elevation'] = z + \
numpy.random.rand(len(z)) / 1000.
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
elapsed_time = 0.
while elapsed_time < time_to_run:
if elapsed_time + dt > time_to_run:
dt = time_to_run - elapsed_time
fr.route_flow()
sp.run_one_step(dt)
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt
elapsed_time += dt
z_trg = numpy.array([
5.48813504e-04, 7.15189366e-04, 6.02763376e-04, 5.44883183e-04,
4.23654799e-04, 6.45894113e-04, 1.01830760e-02, 9.58036770e-03,
6.55865452e-03, 3.83441519e-04, 7.91725038e-04, 1.00142749e-02,
8.80798884e-03, 5.78387585e-03, 7.10360582e-05, 8.71292997e-05,
9.81911417e-03, 9.52243406e-03, 7.55093226e-03, 8.70012148e-04,
9.78618342e-04, 1.00629755e-02, 8.49253798e-03, 5.33216680e-03,
1.18274426e-04, 6.39921021e-04, 9.88956320e-03, 9.47119567e-03,
6.43790696e-03, 4.14661940e-04, 2.64555612e-04, 1.00450743e-02,
8.37262908e-03, 5.21540904e-03, 1.87898004e-05, 6.17635497e-04,
9.21286940e-03, 9.34022513e-03, 7.51114450e-03, 6.81820299e-04,
3.59507901e-04, 6.19166921e-03, 7.10456176e-03, 6.62585507e-03,
6.66766715e-04, 6.70637870e-04, 2.10382561e-04, 1.28926298e-04,
3.15428351e-04, 3.63710771e-04
])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_sp_new():
"""
Tests new style component instantiation and run.
"""
input_str = os.path.join(_THIS_DIR, 'drive_sp_params.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = inputs.read_int('nrows')
ncols = inputs.read_int('ncols')
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
time_to_run = inputs.read_float('run_time')
uplift = inputs.read_float('uplift_rate')
init_elev = inputs.read_float('init_elev')
mg = RasterModelGrid((nrows, ncols), spacing=(dx, dx))
mg.set_closed_boundaries_at_grid_edges(False, False, True, True)
mg.add_zeros('topographic__elevation', at='node')
z = mg.zeros(at='node') + init_elev
numpy.random.seed(0)
mg['node']['topographic__elevation'] = z + \
numpy.random.rand(len(z)) / 1000.
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, **inputs)
elapsed_time = 0.
while elapsed_time < time_to_run:
if elapsed_time + dt > time_to_run:
dt = time_to_run - elapsed_time
fr.route_flow()
sp.run_one_step(dt)
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift * dt
elapsed_time += dt
z_trg = numpy.array([
5.48813504e-04, 7.15189366e-04, 6.02763376e-04, 5.44883183e-04,
4.23654799e-04, 6.45894113e-04, 1.02783376e-02, 9.66667235e-03,
6.15060782e-03, 3.83441519e-04, 7.91725038e-04, 1.00905776e-02,
8.98955843e-03, 5.32836181e-03, 7.10360582e-05, 8.71292997e-05,
9.96377080e-03, 9.63738797e-03, 7.31213677e-03, 8.70012148e-04,
9.78618342e-04, 1.02124693e-02, 8.78386002e-03, 4.88161060e-03,
1.18274426e-04, 6.39921021e-04, 1.00377580e-02, 9.54340293e-03,
6.05173814e-03, 4.14661940e-04, 2.64555612e-04, 1.02160196e-02,
8.61600088e-03, 4.77005225e-03, 1.87898004e-05, 6.17635497e-04,
9.30445558e-03, 9.48713993e-03, 7.25689742e-03, 6.81820299e-04,
3.59507901e-04, 5.79161813e-03, 6.83777542e-03, 6.18063842e-03,
6.66766715e-04, 6.70637870e-04, 2.10382561e-04, 1.28926298e-04,
3.15428351e-04, 3.63710771e-04
])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_trg)
def test_irreg_topo_old():
"""
Test D4 routing on a toy irregular topo, old style, where 'method' is
passed to the run method, not the init.
"""
fr = FlowRouter(mg)
fr.route_flow(method='D4')
assert_array_equal(A_target_D4, mg.at_node['drainage_area'])
assert_array_equal(frcvr_target_D4, mg.at_node['flow_receiver'])
assert_array_equal(upids_target_D4, mg.at_node['upstream_node_order'])
assert_array_equal(links2rcvr_target_D4,
mg.at_node['links_to_flow_receiver'])
assert_array_almost_equal(steepest_target_D4,
mg.at_node['topographic__steepest_slope'])
def setup_dans_grid():
"""
Create a 7x7 test grid with a well defined hole in it.
"""
from landlab import RasterModelGrid
from landlab.components.flow_routing import (FlowRouter,
DepressionFinderAndRouter)
global fr, lf, mg
global z, r_new, r_old, A_new, A_old, s_new, depr_outlet_target
mg = RasterModelGrid(7, 7, 1.)
z = np.array([
0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 2.0, 2.0, 2.0, 2.0, 0.0,
0.0, 2.0, 1.6, 1.5, 1.6, 2.0, 0.0, 0.0, 2.0, 1.7, 1.6, 1.7, 2.0, 0.0,
0.0, 2.0, 1.8, 2.0, 2.0, 2.0, 0.0, 0.0, 1.0, 0.6, 1.0, 1.0, 1.0, 0.0,
0.0, 0.0, -0.5, 0.0, 0.0, 0.0, 0.0
]).flatten()
r_old = np.array([
0, 1, 2, 3, 4, 5, 6, 7, 1, 2, 3, 4, 5, 13, 14, 14, 17, 17, 17, 20, 20,
21, 21, 17, 17, 17, 27, 27, 28, 28, 37, 38, 39, 34, 34, 35, 44, 44, 44,
46, 41, 41, 42, 43, 44, 45, 46, 47, 48
]).flatten()
r_new = np.array([
0, 1, 2, 3, 4, 5, 6, 7, 1, 2, 3, 4, 5, 13, 14, 14, 23, 23, 24, 20, 20,
21, 21, 30, 30, 24, 27, 27, 28, 28, 37, 38, 39, 34, 34, 35, 44, 44, 44,
46, 41, 41, 42, 43, 44, 45, 46, 47, 48
]).flatten()
A_old = np.array([[
0., 1., 1., 1., 1., 1., 0., 0., 1., 1., 1., 1., 1., 0., 1., 1., 1., 6.,
1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 1., 0.,
1., 2., 2., 2., 1., 1., 0., 0., 5., 0., 2., 0., 0.
]]).flatten()
A_new = np.array([[
0., 1., 1., 1., 1., 1., 0., 0., 1., 1., 1., 1., 1., 0., 1., 1., 1., 1.,
1., 1., 1., 1., 1., 3., 3., 1., 1., 1., 1., 1., 7., 1., 1., 1., 1., 0.,
1., 8., 2., 2., 1., 1., 0., 0., 11., 0., 2., 0., 0.
]]).flatten()
s_new = np.array([
0, 1, 8, 2, 9, 3, 10, 4, 11, 5, 12, 6, 7, 13, 14, 15, 20, 19, 21, 22,
27, 26, 28, 29, 34, 33, 35, 41, 40, 42, 43, 44, 36, 37, 30, 23, 16, 17,
24, 18, 25, 38, 31, 45, 46, 39, 32, 47, 48
]).flatten()
depr_outlet_target = np.array([
XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, 30, 30,
30, XX, XX, XX, XX, 30, 30, 30, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX,
XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX, XX
]).flatten()
mg.add_field('node', 'topographic__elevation', z, units='-')
fr = FlowRouter(mg)
lf = DepressionFinderAndRouter(mg)
def setup_dans_grid4():
"""
Create a 10x10 test grid with two well defined holes in it, into an
inclined surface. This time, one of the holes is a stupid shape, which
will require the component to arrange flow back "uphill".
"""
global hf, fr, mg
global z, depr_outlet_target
global lake, lake1, lake2, outlet, outlet_array
lake1 = np.array([34, 35, 36, 44, 45, 46, 54, 55, 56, 65, 74])
lake2 = np.array([78, 87, 88])
guard_nodes = np.array([23, 33, 53, 63, 73, 83])
lake = np.concatenate((lake1, lake2))
outlet = 35 # shouldn't be needed
outlet_array = np.array([outlet])
mg = RasterModelGrid(10, 10, 1.)
z = np.ones(100, dtype=float)
# add slope
z += mg.node_x
z[guard_nodes] += 0.001 # forces the flow out of a particular node
z[lake] = 0.
depr_outlet_target = np.empty(100, dtype=float)
depr_outlet_target.fill(XX)
depr_outlet_target = XX # not well defined in this simplest case...?
mg.add_field('node', 'topographic__elevation', z, units='-')
fr = FlowRouter(mg)
def setup_dans_grid3():
"""
Create a 10x10 test grid with two well defined holes in it, into an
inclined surface.
"""
global hf, fr, mg
global z, depr_outlet_target
global lake, lake1, lake2, outlet, outlet_array, rcvr
lake1 = np.array([34, 35, 36, 44, 45, 46, 54, 55, 56])
lake2 = np.array([77, 78, 87, 88])
guard_nodes = np.array([23, 33, 53, 63])
lake = np.concatenate((lake1, lake2))
outlet = 35 # shouldn't be needed
outlet_array = np.array([outlet])
mg = RasterModelGrid(10, 10, 1.)
z = np.ones(100, dtype=float)
# add slope
z += mg.node_x
z[guard_nodes] += 0.001
z[lake] = 0.
depr_outlet_target = np.empty(100, dtype=float)
depr_outlet_target.fill(XX)
depr_outlet_target = XX # not well defined in this simplest case...?
mg.add_field('node', 'topographic__elevation', z, units='-')
fr = FlowRouter(mg)
def test_voronoi():
"""Test routing on a (radial) voronoi."""
vmg = RadialModelGrid(2, dr=2.0)
z = np.full(20, 10.0, dtype=float)
# vmg.status_at_node[8:] = CLOSED_BOUNDARY
all_bounds_but_one = np.array((0, 1, 2, 3, 4, 7, 11, 15, 16, 17, 18, 19))
vmg.status_at_node[all_bounds_but_one] = CLOSED_BOUNDARY
# z[7] = 0. # outlet
z[12] = 0.0 # outlet
# inner_elevs = (3., 1., 4., 5., 6., 7., 8.)
inner_elevs = (8.0, 7.0, 3.0, 1.0, 6.0, 4.0, 5.0)
# z[:7] = np.array(inner_elevs)
z[vmg.core_nodes] = np.array(inner_elevs)
vmg.add_field("node", "topographic__elevation", z, units="-")
with pytest.deprecated_call():
fr = FlowRouter(vmg)
# nodes_contributing = [np.array([0, 3, 4, 5]),
# np.array([0, 1, 2, 3, 4, 5, 6]),
# np.array([2, ]),
# np.array([3, ]),
# np.array([4, ]),
# np.array([5, ]),
# np.array([6, ])]
# The follow list contains arrays with the IDs of cells contributing flow
# to nodes 5, 6, 8, 9, 10, 13, and 14, respectively (which correspond to
# cells 0-6)
cells_contributing = [
np.array([0]),
np.array([1]),
np.array([1, 2, 4, 6]),
np.array([0, 1, 2, 3, 4, 5, 6]),
np.array([4]),
np.array([5]),
np.array([6]),
]
A_target_core = np.zeros(vmg.number_of_core_nodes)
for i in range(7):
A_target_core[i] = vmg.area_of_cell[cells_contributing[i]].sum()
A_target_outlet = vmg.area_of_cell.sum()
fr.run_one_step()
assert vmg.at_node["drainage_area"][vmg.core_nodes] == pytest.approx(
A_target_core)
assert vmg.at_node["drainage_area"][12] == pytest.approx(A_target_outlet)
def test_voronoi():
"""Test routing on a (radial) voronoi."""
vmg = RadialModelGrid(2, dr=2.)
z = np.full(20, 10., dtype=float)
# vmg.status_at_node[8:] = CLOSED_BOUNDARY
all_bounds_but_one = np.array((0, 1, 2, 3, 4, 7, 11, 15, 16, 17, 18, 19))
vmg.status_at_node[all_bounds_but_one] = CLOSED_BOUNDARY
# z[7] = 0. # outlet
z[12] = 0. # outlet
# inner_elevs = (3., 1., 4., 5., 6., 7., 8.)
inner_elevs = (8., 7., 3., 1., 6., 4., 5.)
# z[:7] = np.array(inner_elevs)
z[vmg.core_nodes] = np.array(inner_elevs)
vmg.add_field("node", "topographic__elevation", z, units="-")
fr = FlowRouter(vmg)
# nodes_contributing = [np.array([0, 3, 4, 5]),
# np.array([0, 1, 2, 3, 4, 5, 6]),
# np.array([2, ]),
# np.array([3, ]),
# np.array([4, ]),
# np.array([5, ]),
# np.array([6, ])]
# The follow list contains arrays with the IDs of cells contributing flow
# to nodes 5, 6, 8, 9, 10, 13, and 14, respectively (which correspond to
# cells 0-6)
cells_contributing = [
np.array([0]),
np.array([1]),
np.array([1, 2, 4, 6]),
np.array([0, 1, 2, 3, 4, 5, 6]),
np.array([4]),
np.array([5]),
np.array([6]),
]
A_target_core = np.zeros(vmg.number_of_core_nodes)
for i in range(7):
A_target_core[i] = vmg.area_of_cell[cells_contributing[i]].sum()
A_target_outlet = vmg.area_of_cell.sum()
fr.route_flow()
assert vmg.at_node["drainage_area"][vmg.core_nodes] == approx(A_target_core)
assert vmg.at_node["drainage_area"][12] == approx(A_target_outlet)
def test_irreg_topo(dans_grid2):
"""Test D8 routing on a toy irregular topo."""
fr = FlowRouter(dans_grid2.mg)
fr.route_flow()
assert_array_equal(dans_grid2.A_target_D8, dans_grid2.mg.at_node["drainage_area"])
assert_array_equal(
dans_grid2.frcvr_target_D8, dans_grid2.mg.at_node["flow__receiver_node"]
)
assert_array_equal(
dans_grid2.upids_target_D8, dans_grid2.mg.at_node["flow__upstream_node_order"]
)
assert_array_equal(
dans_grid2.links2rcvr_target_D8,
dans_grid2.mg.at_node["flow__link_to_receiver_node"],
)
assert dans_grid2.steepest_target_D8 == approx(
dans_grid2.mg.at_node["topographic__steepest_slope"]
)
def test_irreg_topo_new(dans_grid2):
"""Test D4 routing on a toy irregular topo. 'method' passed to init."""
with pytest.deprecated_call():
fr = FlowRouter(dans_grid2.mg, method="D4")
fr.run_one_step()
assert_array_equal(dans_grid2.A_target_D4, dans_grid2.mg.at_node["drainage_area"])
assert_array_equal(
dans_grid2.frcvr_target_D4, dans_grid2.mg.at_node["flow__receiver_node"]
)
assert_array_equal(
dans_grid2.upids_target_D4, dans_grid2.mg.at_node["flow__upstream_node_order"]
)
assert_array_equal(
dans_grid2.links2rcvr_target_D4,
dans_grid2.mg.at_node["flow__link_to_receiver_node"],
)
assert dans_grid2.steepest_target_D4 == pytest.approx(
dans_grid2.mg.at_node["topographic__steepest_slope"]
)
def test_internal_closed(internal_closed):
"""Test closed nodes in the core of the grid."""
fr = FlowRouter(internal_closed.mg)
fr.route_flow()
assert internal_closed.A_target == approx(
internal_closed.mg.at_node["drainage_area"]
)
assert_array_equal(
internal_closed.frcvr_target, internal_closed.mg.at_node["flow__receiver_node"]
)
assert_array_equal(
internal_closed.links2rcvr_target,
internal_closed.mg.at_node["flow__link_to_receiver_node"],
)
assert internal_closed.A_target == approx(
internal_closed.mg.at_node["surface_water__discharge"]
)
assert internal_closed.steepest_target == approx(
internal_closed.mg.at_node["topographic__steepest_slope"]
)
def initialize(self, input_stream=None):
"""
The BMI-style initialize method takes an optional input_stream
parameter, which may be either a ModelParameterDictionary object or
an input stream from which a ModelParameterDictionary can read values.
"""
# Create a ModelParameterDictionary for the inputs
if input_stream is None:
inputs = None
elif type(input_stream) == ModelParameterDictionary:
inputs = input_stream
else:
inputs = ModelParameterDictionary(input_stream)
# Make sure the grid includes elevation data. This means either:
# 1. The grid has a node field called 'topographic__elevation', or
# 2. The input file has an item called 'ELEVATION_FIELD_NAME' *and*
# a field by this name exists in the grid.
try:
self._elev = self._grid.at_node['topographic__elevation']
except FieldError:
try:
self.topo_field_name = inputs.read_string('ELEVATION_' +
'FIELD_NAME')
except AttributeError:
print('Error: Because your grid does not have a node field')
print('called "topographic__elevation", you need to pass the')
print('name of a text input file or ModelParameterDictionary,')
print('and this file or dictionary needs to include the name')
print('of another field in your grid that contains your')
print('elevation data.')
raise AttributeError
except MissingKeyError:
print('Error: Because your grid does not have a node field')
print('called "topographic__elevation", your input file (or')
print('ModelParameterDictionary) must include an entry with')
print('the key "ELEVATION_FIELD_NAME", which gives the name')
print('of a field in your grid that contains your elevation')
print('data.')
raise MissingKeyError('ELEVATION_FIELD_NAME')
try:
self._elev = self._grid.at_node[self.topo_field_name]
except AttributeError:
print('Your grid does not seem to have a node field called',
self.topo_field_name)
else:
self.topo_field_name = 'topographic__elevation'
# create the only new output field:
self.sed_fill_depth = self._grid.add_zeros('node',
'sediment_fill__depth',
noclobber=False)
self._lf = DepressionFinderAndRouter(self._grid, routing=self._routing)
self._fr = FlowRouter(self._grid, method=self._routing)
def test_sp_widths():
input_str = os.path.join(_THIS_DIR, 'test_sp_params_widths.txt')
inputs = ModelParameterDictionary(input_str, auto_type=True)
nrows = 5
ncols = 5
dx = inputs.read_float('dx')
dt = inputs.read_float('dt')
mg = RasterModelGrid(nrows, ncols, dx)
widths = np.ones(mg.number_of_nodes, dtype=float)
mg.add_zeros('topographic__elevation', at='node')
z = np.array([5., 5., 0., 5., 5.,
5., 2., 1., 2., 5.,
5., 3., 2., 3., 5.,
5., 4., 4., 4., 5.,
5., 5., 5., 5., 5.])
mg['node']['topographic__elevation'] = z
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, use_W=widths, **inputs)
# perform the loop (once!)
for i in range(1):
fr.route_flow()
sqrt_A = mg.at_node['drainage_area']**0.5
widths[mg.core_nodes] = sqrt_A[mg.core_nodes]/sqrt_A[
mg.core_nodes].mean()
# so widths has mean=1.
# note the issue with drainage_area not defined at perimeter => nans
# if not careful...
sp.run_one_step(dt)
z_tg = np.array([ 5. , 5. , 0. , 5. ,
5. , 5. , 1.37222369, 0.36876358,
1.37222369, 5. , 5. , 2.17408606,
1.07986038, 2.17408606, 5. , 5. ,
3.08340277, 2.85288049, 3.08340277, 5. ,
5. , 5. , 5. , 5. ,
5. ])
assert_array_almost_equal(mg.at_node['topographic__elevation'], z_tg)
def test_accumulate_D8(dans_grid1):
"""Test accumulation works for D8 in a simple scenario."""
fr = FlowRouter(dans_grid1.mg)
fr.route_flow()
assert_array_equal(dans_grid1.A_target, dans_grid1.mg.at_node["drainage_area"])
assert_array_equal(
dans_grid1.frcvr_target, dans_grid1.mg.at_node["flow__receiver_node"]
)
assert_array_equal(
dans_grid1.upids_target, dans_grid1.mg.at_node["flow__upstream_node_order"]
)
assert_array_equal(
dans_grid1.links2rcvr_target,
dans_grid1.mg.at_node["flow__link_to_receiver_node"],
)
assert_array_equal(
dans_grid1.A_target, dans_grid1.mg.at_node["surface_water__discharge"]
)
assert_array_equal(
dans_grid1.steepest_target, dans_grid1.mg.at_node["topographic__steepest_slope"]
)
