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 test_sed_dep():
input_file = os.path.join(_THIS_DIR, 'sed_dep_params.txt')
inputs = ModelParameterDictionary(input_file, auto_type=True)
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, dx))
mg.add_zeros('topographic__elevation', at='node')
z = np.loadtxt(os.path.join(_THIS_DIR, 'seddepinit.txt'))
mg['node']['topographic__elevation'] = z
mg.set_closed_boundaries_at_grid_edges(True, False, True, False)
fr = FlowRouter(mg)
sde = SedDepEroder(mg, **inputs)
for i in range(nt):
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift_per_step
mg = fr.route_flow()
mg, _ = sde.erode(dt)
z_tg = np.loadtxt(os.path.join(_THIS_DIR, 'seddepz_tg.txt'))
assert_array_almost_equal(
mg.at_node['topographic__elevation'][mg.core_nodes],
z_tg[mg.core_nodes])
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 test_sed_dep():
input_file = os.path.join(_THIS_DIR, 'sed_dep_params.txt')
inputs = ModelParameterDictionary(input_file, auto_type=True)
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, dx))
mg.add_zeros('topographic__elevation', at='node')
z = np.loadtxt(os.path.join(_THIS_DIR, 'seddepinit.txt'))
mg['node']['topographic__elevation'] = z
mg.set_closed_boundaries_at_grid_edges(True, False, True, False)
fr = FlowRouter(mg)
sde = SedDepEroder(mg, **inputs)
for i in range(nt):
mg.at_node['topographic__elevation'][mg.core_nodes] += uplift_per_step
mg = fr.route_flow()
mg, _ = sde.erode(dt)
z_tg = np.loadtxt(os.path.join(_THIS_DIR, 'seddepz_tg.txt'))
assert_array_almost_equal(mg.at_node['topographic__elevation'][
mg.core_nodes], z_tg[mg.core_nodes])
nt = int(runtime//dt)
uplift_per_step = uplift_rate * dt
print('uplift per step: ', uplift_per_step)
#check we have a plaubible grid
#mg = RasterModelGrid(nrows,ncols,dx)
assert mg.number_of_nodes == nrows*ncols
assert mg.node_spacing == dx
# Display a message
print('Running ...')
# instantiate the components:
fr = FlowRouter(mg)
sde = SedDepEroder(mg, input_file)
# don't allow overwriting of these, just in case
try:
x_profiles
except NameError:
x_profiles = []
z_profiles = []
S_profiles = []
A_profiles = []
# plot init conds
if make_output_plots:
mg = fr.route_flow(grid=mg)
pylab.figure('long_profile_anim')
ylim([0, y_max])
prf.analyze_channel_network_and_plot(mg)
nt = int(runtime // dt)
uplift_per_step = uplift_rate * dt
print('uplift per step: ', uplift_per_step)
#check we have a plaubible grid
#mg = RasterModelGrid(nrows,ncols,dx)
assert mg.number_of_nodes == nrows * ncols
assert mg.node_spacing == dx
# Display a message
print('Running ...')
# instantiate the components:
fr = FlowRouter(mg)
sde = SedDepEroder(mg, input_file)
# don't allow overwriting of these, just in case
try:
x_profiles
except NameError:
x_profiles = []
z_profiles = []
S_profiles = []
A_profiles = []
# plot init conds
if make_output_plots:
mg = fr.route_flow(grid=mg)
pylab.figure('long_profile_anim')
ylim([0, y_max])
prf.analyze_channel_network_and_plot(mg)