Python route_flow_dn.FlowRouter类代码示例

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.,   1.,   1.,   0.,
                           0.,   4.,   1.,   3.,   0.,
                           0.,   1.,  10.,   1.,   0.,
                          21.,  21.,   1.,   1.,   0.,
                           0.,   1.,   9.,   1.,   0.,
                           0.,   4.,   1.,   3.,   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_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_sinks'], 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 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'])
    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():
    """
    Tests D4 routing on a toy irregular topo.
    """
    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 test_variable_Qin():
    """
    Tests a variable Qin field.
    """
    Qin_local = np.zeros(25, dtype=float)
    Qin_local[13] = 2.
    mg.add_field('node', 'water__volume_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 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')

        self._lf = DepressionFinderAndRouter(self._grid, routing=self._routing)
        self._fr = FlowRouter(self._grid)

mg.create_node_array_zeros('topographic_elevation')
z = mg.create_node_array_zeros() + leftmost_elev
z += initial_slope*np.amax(mg.node_y) - initial_slope*mg.node_y
#put these values plus roughness into that field
mg['node'][ 'topographic_elevation'] = z + np.random.rand(len(z))/100000.

#set up grid's boundary conditions (bottom, left, top, right is inactive)
mg.set_inactive_boundaries(False, True, False, True)
mg.set_fixed_value_boundaries_at_grid_edges(True, False, True, False, value_of='topographic_elevation')
print 'fixed vals in grid: ', mg.fixed_value_node_properties['values']

# Display a message
print 'Running ...' 

#instantiate the components:
fr = FlowRouter(mg)
sde = SedDepEroder(mg, input_file)
vid = VideoPlotter(mg, data_centering='node')

time_on = time()
#perform the loops:
for i in xrange(nt):
    #print 'loop ', i
    mg.at_node['topographic_elevation'][mg.core_nodes] += uplift_per_step
    mg = fr.route_flow(grid=mg)
    #mg.calculate_gradient_across_cell_faces(mg.at_node['topographic_elevation'])
    #neighbor_slopes = mg.calculate_gradient_along_node_links(mg.at_node['topographic_elevation'])
    #mean_slope = np.mean(np.fabs(neighbor_slopes),axis=1)
    #max_slope = np.max(np.fabs(neighbor_slopes),axis=1)
    #mg,_,capacity_out = tl.erode(mg,dt,slopes_at_nodes='steepest_slope')
    #mg,_,capacity_out = tl.erode(mg,dt,slopes_at_nodes=max_slope)

#.........这里部分代码省略.........
            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')

        self._lf = DepressionFinderAndRouter(self._grid, routing=self._routing)
        self._fr = FlowRouter(self._grid)

    def fill_pits(self, apply_slope=None):
        """
        This is the main method. Call it to fill depressions in a starting
        topography.

        Parameters
        ----------
        apply_slope : bool
            Whether to leave the filled surface flat (default), or apply a
            gradient downwards through all lake nodes towards the outlet.
            A test is performed to ensure applying this slope will not alter
            the drainage structure at the edge of the filled region (i.e.,
            that we are not accidentally reversing the flow direction far
            from the outlet.)

        Return fields
        -------------
        'topographic__elevation' : the updated elevations
        'sediment_fill__depth' : the depth of sediment added at each node
        """
        self.original_elev = self._elev.copy()
        # We need this, as we'll have to do ALL this again if we manage
        # to jack the elevs too high in one of the "subsidiary" lakes.
        # We're going to implement the lake_mapper component to do the heavy
        # lifting here, then delete its fields. This means we first need to
        # test if these fields already exist, in which case, we should *not*
        # delete them!
        existing_fields = {}
        spurious_fields = set()
        set_of_outputs = self._lf.output_var_names | self._fr.output_var_names
        try:

mg = RasterModelGrid(nrows, ncols, dx)

#create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
z = mg.create_node_array_zeros() + init_elev
mg['node'][ 'topographic__elevation'] = z + numpy.random.rand(len(z))/1000.

#make some K values in a field to test
mg.at_node['K_values'] = 0.1+numpy.random.rand(nrows*ncols)/10.

print( 'Running ...' )
time_on = time.time()

#instantiate the components:
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, './drive_sp_params.txt')
#load the Fastscape module too, to allow direct comparison
fsp = Fsc(mg, './drive_sp_params.txt')

#perform the loop:
elapsed_time = 0. #total time in simulation
while elapsed_time < time_to_run:
    print(elapsed_time)
    if elapsed_time+dt>time_to_run:
        print("Short step!")
        dt = time_to_run - elapsed_time
    mg = fr.route_flow()
    #print 'Area: ', numpy.max(mg.at_node['drainage_area'])
    #mg = fsp.erode(mg)
    mg,_,_ = sp.erode(mg, dt, node_drainage_areas='drainage_area', slopes_at_nodes='topographic__steepest_slope', K_if_used='K_values')

grid = RasterModelGrid(4, 5, 1.0)
grid.set_inactive_boundaries(True, False, True, True)
z = grid.add_zeros('node', 'Land_Surface__Elevation')
z[6] = 4.5
z[7] = 3.
z[8] = 1.
z[11] = 4.
z[12] = 2.8
z[13] = 2.


# Get array of interior (active) node IDs
interior_nodes = grid.get_active_cell_node_ids()

# Route flow
flow_router = FlowRouter(grid)
grid = flow_router.route_flow()

for i in range(grid.number_of_nodes):
    print(i, grid.node_x[i], grid.node_y[i], z[i], grid.node_status[i], \
          r[i], a[i], q[i], ss[i], rl[i])

# Let's take a look for debugging
#print 'node  receiver  flow_link'
#for i in interior_nodes:
#    print i, r[i], rl[i]

# Calculate lengths of flow links
flow_link_length = ones(size(z))
flow_link_length[interior_nodes] = grid.link_length[rl[interior_nodes]] #DEJH suspects a node ordering bug here - rl is not in ID order, but interior_nodes is
print('fll:', flow_link_length)

#.........这里部分代码省略.........
    
        #interior_nodes are the nodes on which you will be calculating flow 
        self.interior_nodes = grid.get_active_cell_node_ids()

        if total_t==None:
            total_t = self.rain_duration
        if rainrate==None:
            rainrate = self.rainfall_rate
        if rainduration==None:
            rainduration = total_t
            
        elapsed_time = 0
        
        #below is for calculating water surface slope at interior nodes
        w_slope=np.zeros(self.interior_nodes.size)

        t = [] #time array for plotting
        t.append(0.) #initialize array
        self.dqds= grid.zeros(centering='node')
                
        while elapsed_time < total_t:
            
            # Calculate time-step size for this iteration (Bates et al., eq 14)
            dtmax = self.alpha*grid.dx/np.sqrt(self.g*np.amax(self.h))
        
            # Take the smaller of delt or calculated time-step
            dt = min(dtmax, total_t)
        
            # Calculate the effective flow depth at active links. Bates et al. 2010
            # recommend using the difference between the highest water-surface
            # and the highest bed elevation between each pair of cells.
            zmax = grid.max_of_link_end_node_values(z) #array of length of active links
            w = self.h+z   # water-surface height, array of length num nodes
            wmax = grid.max_of_link_end_node_values(w) #array of length of active links
            hflow = wmax - zmax #array of length of active links
        
            # Calculate water-surface slopes: across links, but water heights are 
            #defined at nodes.
            water_surface_slope = grid.calculate_gradients_at_active_links(w)
       
      
            # Calculate the unit discharges (Bates et al., eq 11)
            self.q = (self.q-g*hflow*dtmax*water_surface_slope)/ \
                (1.+g*hflow*dtmax*0.06*0.06*abs(self.q)/(hflow**ten_thirds))                
            #NOTES:    
            # q is calculated at links
            # water_surface_slope is at links
            # hflow is at links, but w is at nodes

            # Calculate water-flux divergence at nodes
            self.dqds = grid.calculate_flux_divergence_at_nodes(self.q,self.dqds)
            
            # Calculate rate of change of water depth
            self.dhdt = rainrate-self.dqds

            
            # Second time-step limiter (experimental): make sure you don't allow
            # water-depth to go negative
            if np.amin(self.dhdt) < 0.:
                shallowing_locations = np.where(self.dhdt<0.)
                time_to_drain = -self.h[shallowing_locations]/self.dhdt[shallowing_locations]
                dtmax2 = self.alpha*np.amin(time_to_drain)
                dt = np.min([dtmax, dtmax2, total_t])
        
            # Update the water-depth field
            self.h[self.interior_nodes] = self.h[self.interior_nodes] + self.dhdt[self.interior_nodes]*dt


            # Let's calculate shear stress at the nodes.  
            # First get water height at the nodes.
            # Then calculate the maximum gradient in water surface elevations (S).
            # Then you can calculate shear stress! (rho g h S)       
            # h (water depth) is at nodes
            
            w = self.h+z   # water-surface height, array of length num nodes
            

            #Below if is for limiting shear stress calculations to only times when
            #q surpasses a threshold (in this case q should be in m^3/sec)
            #Note that this threshold is HARDWIRED below (on right of >)

            #self.slopes_at_node, garbage = grid.calculate_steepest_descent_on_nodes(w, water_surface_slope)
            fr=FlowRouter(grid)
            r, a, q, ss, s, d = fr.route_flow(w)
            self.slopes_at_node = ss
            if self.q.any()*grid.dx> 0.2:
                self.tau = self.rho*self.g*self.slopes_at_node*self.h

                #for i in range(24899): 
                #    #w_slope[i],garbage=grid.calculate_gradient_across_cell_faces(grid, w, self.interior_nodes)    #grid.calculate_max_gradient_across_node_d4(w,self.interior_nodes[i])
                #    self.tau[self.interior_nodes[i]]=self.rho*self.g*self.slopes_at_node[self.interior_nodes[i]]*self.h[self.interior_nodes[i]]
                #    #self.tau[i] = tau[i]

            self.tau[np.where(self.tau<0)] = 0       

            #self.tau[interior_nodes] = self.tau[interior_nodes] + self.dtds[interior_nodes]*dt
            #tau[np.where(tau<0)] = 0
            # Update model run time
            elapsed_time += dt
            print "elapsed time", elapsed_time

mg = RasterModelGrid(nrows, ncols, dx)

# create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
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

print('Running ...')

# instantiate the components:
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, './drive_sp_params_discharge.txt')
# load the Fastscape module too, to allow direct comparison
fsp = Fsc(mg, './drive_sp_params_discharge.txt')

# perform the loop (once!)
for i in xrange(1):
    fr.route_flow(method='D8')
    my_Q = mg.at_node['water__volume_flux']*1.
    sp.erode(mg, dt, node_drainage_areas='drainage_area',
             slopes_at_nodes='topographic__steepest_slope',
             Q_if_used=my_Q)
    # no uplift

# print the stream power that was calculated:
print('stream power values:')

#create the fields in the grid
mg.create_node_array_zeros('topographic__elevation')
z = mg.create_node_array_zeros() + init_elev
mg['node'][ 'topographic__elevation'] = z + numpy.random.rand(len(z))/1000.
mg.add_zeros('node', 'water__volume_flux_in')

#make some K values in a field to test 
#mg.at_node['K_values'] = 0.1+numpy.random.rand(nrows*ncols)/10.
mg.at_node['K_values'] = numpy.empty(nrows*ncols, dtype=float)
#mg.at_node['K_values'].fill(0.1+numpy.random.rand()/10.)
mg.at_node['K_values'].fill(0.001)

print( 'Running ...' )

#instantiate the components:
fr = FlowRouter(mg)
sp = StreamPowerEroder(mg, input_file_string)
#fsp = Fsc(mg, input_file_string)
precip = PrecipitationDistribution(input_file=input_file_string)

#load the Fastscape module too, to allow direct comparison
fsp = Fsc(mg, input_file_string)

try:
    #raise NameError
    mg = copy.deepcopy(mg_mature)
except NameError:
    print('building a new grid...')
    out_interval = 50000.
    last_trunc = time_to_run #we use this to trigger taking an output plot
    #run to a steady state:

from landlab import VoronoiDelaunayGrid  # , RasterModelGrid
from landlab.components.flow_routing.route_flow_dn import FlowRouter
from landlab.components.stream_power.stream_power import StreamPowerEroder
from landlab.plot.imshow import imshow_node_grid
import numpy as np
from matplotlib.pyplot import figure, show

nnodes = 10000

x, y = np.random.rand(nnodes), np.random.rand(nnodes)
mg = VoronoiDelaunayGrid(x,y)
#mg = RasterModelGrid(4,5)

z = mg.add_field('node', 'topographic__elevation', np.random.rand(nnodes)/10000., copy=False)

fr = FlowRouter(mg)
spe = StreamPowerEroder(mg, 'drive_sp_params_voronoi.txt')

for i in xrange(100):
    z[mg.core_nodes] += 0.01
    fr.route_flow()
    spe.erode(mg, 1.)

imshow_node_grid(mg, 'topographic__elevation')

show()