1-dimensional shallow water equation

Shallow water flow

Solve the one-dimensional shallow water equations including bathymetry:

\[\begin{split}h_t + (hu)_x & = 0 \\ (hu)_t + (hu^2 + \frac{1}{2}gh^2)_x & = -g h b_x.\end{split}\]

Here h is the depth, u is the velocity, g is the gravitational constant, and b the bathymetry.

Output:

../../_images/pyclaw_examples_shallow_1d__plots_sill_frame0000fig0.png ../../_images/pyclaw_examples_shallow_1d__plots_sill_frame0003fig0.png ../../_images/pyclaw_examples_shallow_1d__plots_sill_frame0006fig0.png

Source:

#!/usr/bin/env python
# encoding: utf-8

r"""
Shallow water flow
==================

Solve the one-dimensional shallow water equations including bathymetry:

.. math::
    h_t + (hu)_x & = 0 \\
    (hu)_t + (hu^2 + \frac{1}{2}gh^2)_x & = -g h b_x.

Here h is the depth, u is the velocity, g is the gravitational constant, and b
the bathymetry.  
"""

import numpy
from clawpack import riemann

def setup(kernel_language='Fortran', solver_type='classic', use_petsc=False,
          outdir='./_output'):

    if use_petsc:
        import clawpack.petclaw as pyclaw
    else:
        from clawpack import pyclaw

    if kernel_language == 'Fortran':
        solver = pyclaw.ClawSolver1D(riemann.shallow_bathymetry_fwave_1D)
    elif kernel_language == 'Python':
        solver = pyclaw.ClawSolver1D(riemann.shallow_1D_py.shallow_fwave_1d)
        solver.kernel_language = 'Python'
    solver.limiters = pyclaw.limiters.tvd.vanleer
    solver.fwave = True
    solver.num_waves = 2
    solver.num_eqn = 2
    solver.bc_lower[0] = pyclaw.BC.extrap
    solver.bc_upper[0] = pyclaw.BC.extrap
    solver.aux_bc_lower[0] = pyclaw.BC.extrap
    solver.aux_bc_upper[0] = pyclaw.BC.extrap

    xlower = -1.0
    xupper = 1.0
    x = pyclaw.Dimension( xlower, xupper, 500, name='x')
    domain = pyclaw.Domain(x)
    state = pyclaw.State(domain, 2, 1)

    # Gravitational constant
    state.problem_data['grav'] = 9.8
    state.problem_data['dry_tolerance'] = 1e-3
    state.problem_data['sea_level'] = 0.0

    xc = state.grid.x.centers
    state.aux[0, :] = 0.8 * numpy.exp(-xc**2 / 0.2**2) - 1.0
    state.q[0, :] = 0.1 * numpy.exp(-(xc + 0.4)**2 / 0.2**2) - state.aux[0, :]
    state.q[1, :] = 0.0

    claw = pyclaw.Controller()
    claw.keep_copy = True
    claw.tfinal = 1.0
    claw.solution = pyclaw.Solution(state, domain)
    claw.solver = solver
    claw.setplot = setplot
    claw.write_aux_init = True

    if outdir is not None:
        claw.outdir = outdir
    else:
        claw.output_format = None


    return claw


#--------------------------
def setplot(plotdata):
#--------------------------
    """ 
    Specify what is to be plotted at each frame.
    Input:  plotdata, an instance of visclaw.data.ClawPlotData.
    Output: a modified version of plotdata.
    """ 
    plotdata.clearfigures()  # clear any old figures,axes,items data

    # Plot variables
    def bathy(current_data):
        return current_data.aux[0, :]

    def eta(current_data):
        return current_data.q[0, :] + bathy(current_data)

    def velocity(current_data):
        return current_data.q[1, :] / current_data.q[0, :]

    rgb_converter = lambda triple: [float(rgb) / 255.0 for rgb in triple]

    # Figure for depth
    plotfigure = plotdata.new_plotfigure(name='Depth', figno=0)

    # Axes for water depth
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.xlimits = [-1.0, 1.0]
    plotaxes.ylimits = [-1.1, 0.2]
    plotaxes.title = 'Water Depth'
    plotaxes.axescmd = 'subplot(211)'

    plotitem = plotaxes.new_plotitem(plot_type='1d_fill_between')
    plotitem.plot_var = eta
    plotitem.plot_var2 = bathy
    plotitem.color = rgb_converter((67,183,219))

    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = bathy
    plotitem.color = 'k'

    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = eta
    plotitem.color = 'k'

    # Axes for velocity
    plotaxes = plotfigure.new_plotaxes()
    plotaxes.axescmd = 'subplot(212)'
    plotaxes.xlimits = [-1.0, 1.0]
    plotaxes.ylimits = [-0.5, 0.5]
    plotaxes.title = 'Velocity'

    plotitem = plotaxes.new_plotitem(plot_type='1d_plot')
    plotitem.plot_var = velocity
    plotitem.color = 'b'
    plotitem.kwargs = {'linewidth':3}
    
    return plotdata


if __name__=="__main__":
    from clawpack.pyclaw.util import run_app_from_main
    output = run_app_from_main(setup,setplot)