def main():
nr = 5
nc = 6
nnodes = nr * nc
dx = 1
#instantiate grid
rg = RasterModelGrid(nr, nc, dx)
#rg.set_inactive_boundaries(False, True, True, False)
nodata_val = -1
z = nodata_val * np.ones(nnodes)
#set-up interior elevations with random numbers
#for i in range(0, nnodes):
# if rg.is_interior(i):
# elevations[i]=random.random_sample()
#set-up elevations
helper = [7, 8, 9, 10, 13, 14, 15, 16]
for i in range(0, len(helper)):
#print 'helper[i]', helper[i]
z[helper[i]] = 2 + uniform(-0.5, 0.5)
helper = [19, 20, 21, 22]
for i in range(0, len(helper)):
z[helper[i]] = 3 + uniform(-0.5, 0.5)
z[7] = 1
#set up boundary conditions
bc = WatershedBoundaryConditions()
outlet_loc = bc.set_bc_find_outlet(rg, z, nodata_val)
zoutlet = z[outlet_loc]
#some helper and parameter values
total_run_time = 500000 #yr
uplift_rate = 0.001 #m/yr
rain_rate = 1 #m/yr
storm_duration = 50 #years
elapsed_time = 0 #years
#set up fluvial incision component
incisor = PowerLawIncision('input_file.txt', rg)
#print "elevations before ", rg.node_vector_to_raster(z)
#interior_nodes are the nodes on which you will be operating
interior_nodes = np.where(rg.status_at_node != CLOSED_BOUNDARY)[0]
while elapsed_time < total_run_time:
#uplift the landscape
z[interior_nodes] = z[interior_nodes] + uplift_rate * storm_duration
z[outlet_loc] = zoutlet
#erode the landscape
z = incisor.run_one_storm(rg, z, rain_rate, storm_duration)
#update the time
elapsed_time = elapsed_time + storm_duration
#below purely for plotting reasons
#instantiate variable of type RouteFlowD8 Class
flow_router = RouteFlowD8(len(z))
#initial flow direction
flowdirs, max_slopes = flow_router.calc_flowdirs(rg, z)
#insantiate variable of type AccumFlow Class
accumulator = AccumFlow(rg)
#initial flow accumulation
drain_area = accumulator.calc_flowacc(z, flowdirs)
#m,b = polyfit(log10(drain_area[interior_nodes]), log10(max_slopes[interior_nodes]), 1)
z[interior_nodes] = z[interior_nodes] + uplift_rate * storm_duration
z[outlet_loc] = zoutlet
plt.loglog(
np.array(drain_area),
np.array(max_slopes),
'ro',
)
plt.show()
imshow_grid(rg, z, values_at='node')
def main():
nr = 50
nc = 60
nnodes = nr*nc
dx=10
#instantiate grid
rg = RasterModelGrid(nr, nc, dx)
rg.set_inactive_boundaries(True, True, True, False)
z = np.zeros( nnodes )
#set-up interior elevations with random numbers
for i in range(0, nnodes):
if rg.is_interior(i):
z[i]=2+uniform(-0.5,0.5)
#some helper and parameter values
total_run_time = 10000 #yr
one_twentieth_time = total_run_time/20
uplift_rate = 0.001 #m/yr
rain_rate = 1 #m/yr
storm_duration = 50 #years
elapsed_time = 0 #years
#set up fluvial incision component
incisor = PowerLawIncision('input_file.txt',rg)
#print "elevations before ", rg.node_vector_to_raster(z)
#interior_nodes are the nodes on which you will be operating
interior_nodes = np.where(rg.status_at_node != CLOSED_BOUNDARY)[0]
while elapsed_time < total_run_time:
#erode the landscape
z = incisor.run_one_storm(rg,z,rain_rate,storm_duration)
#uplift the landscape
z[interior_nodes] = z[interior_nodes]+uplift_rate * storm_duration
#update the time
elapsed_time = elapsed_time+storm_duration
#print "elapsed_time", elapsed_time
if elapsed_time%one_twentieth_time == 0:
print("elapsed time",elapsed_time)
elev_raster = rg.node_vector_to_raster(z,True)
# Plot topography
pylab.figure(22)
im = pylab.imshow(elev_raster, cmap=pylab.cm.RdBu, extent=[0, nc*rg.dx, 0, nr*rg.dx])
cb = pylab.colorbar(im)
cb.set_label('Elevation (m)', fontsize=12)
pylab.title('Topography')
pylab.show()
#below purely for plotting reasons
#instantiate variable of type RouteFlowD8 Class
flow_router = RouteFlowD8(len(z))
#initial flow direction
flowdirs, max_slopes = flow_router.calc_flowdirs(rg,z)
#insantiate variable of type AccumFlow Class
accumulator = AccumFlow(rg)
#initial flow accumulation
drain_area = accumulator.calc_flowacc(z, flowdirs)
plt.loglog(np.array(drain_area),np.array(max_slopes),'ro',)
plt.xlabel('drainage area, m')
plt.ylabel('surface slope')
plt.show()
elev_raster = rg.node_vector_to_raster(z,True)
# Plot topography
pylab.figure(22)
im = pylab.imshow(elev_raster, cmap=pylab.cm.RdBu, extent=[0, nc*rg.dx, 0, nr*rg.dx])
cb = pylab.colorbar(im)
cb.set_label('Elevation (m)', fontsize=12)
pylab.title('Topography')
pylab.show()
def main():
nr = 5
nc = 6
nnodes = nr*nc
dx=1
#instantiate grid
rg = RasterModelGrid(nr, nc, dx)
#rg.set_inactive_boundaries(False, True, True, False)
nodata_val=-1
z = nodata_val*np.ones( nnodes )
#set-up interior elevations with random numbers
#for i in range(0, nnodes):
# if rg.is_interior(i):
# elevations[i]=random.random_sample()
#set-up elevations
helper = [7,8,9,10,13,14,15,16]
for i in range(0, len(helper)):
#print 'helper[i]', helper[i]
z[helper[i]]=2+uniform(-0.5,0.5)
helper = [19,20,21,22]
for i in range(0, len(helper)):
z[helper[i]]=3+uniform(-0.5,0.5)
z[7]=1
#set up boundary conditions
bc=WatershedBoundaryConditions()
outlet_loc = bc.set_bc_find_outlet(rg, z, nodata_val)
zoutlet=z[outlet_loc]
#some helper and parameter values
total_run_time = 500000 #yr
uplift_rate = 0.001 #m/yr
rain_rate = 1 #m/yr
storm_duration = 50 #years
elapsed_time = 0 #years
#set up fluvial incision component
incisor = PowerLawIncision('input_file.txt',rg)
#print "elevations before ", rg.node_vector_to_raster(z)
#interior_nodes are the nodes on which you will be operating
interior_nodes = np.where(rg.status_at_node != CLOSED_BOUNDARY)[0]
while elapsed_time < total_run_time:
#uplift the landscape
z[interior_nodes] = z[interior_nodes]+uplift_rate * storm_duration
z[outlet_loc]=zoutlet
#erode the landscape
z = incisor.run_one_storm(rg,z,rain_rate,storm_duration)
#update the time
elapsed_time = elapsed_time+storm_duration
#below purely for plotting reasons
#instantiate variable of type RouteFlowD8 Class
flow_router = RouteFlowD8(len(z))
#initial flow direction
flowdirs, max_slopes = flow_router.calc_flowdirs(rg,z)
#insantiate variable of type AccumFlow Class
accumulator = AccumFlow(rg)
#initial flow accumulation
drain_area = accumulator.calc_flowacc(z, flowdirs)
#m,b = polyfit(log10(drain_area[interior_nodes]), log10(max_slopes[interior_nodes]), 1)
z[interior_nodes] = z[interior_nodes]+uplift_rate * storm_duration
z[outlet_loc]=zoutlet
plt.loglog(np.array(drain_area),np.array(max_slopes),'ro',)
plt.show()
imshow_grid(rg,z, values_at='node')