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tfix figure and tweak parameters - granular-channel-hydro - subglacial hydrolog… |
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git clone git://src.adamsgaard.dk/granular-channel-hydro |
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--- |
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commit 633970e66a0eb2d60b96eab40e8a9f891201ecf0 |
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parent 6afcc6591b23c355ae2cae50953afbba1de9e0d6 |
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Author: Anders Damsgaard <[email protected]> |
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Date: Mon, 15 May 2017 16:27:58 -0400 |
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fix figure and tweak parameters |
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Diffstat: |
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M 1d-channel.py | 29 ++++++++++++----------------- |
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1 file changed, 12 insertions(+), 17 deletions(-) |
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--- |
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diff --git a/1d-channel.py b/1d-channel.py |
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t@@ -23,19 +23,17 @@ import sys |
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# # Model parameters |
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Ns = 25 # Number of nodes [-] |
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Ls = 1e3 # Model length [m] |
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-total_days = 60. # Total simulation time [d] |
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+total_days = 2. # Total simulation time [d] |
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t_end = 24.*60.*60.*total_days # Total simulation time [s] |
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-tol_S = 1e-3 # Tolerance criteria for the norm. max. residual for Q |
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-tol_Q = 1e-3 # Tolerance criteria for the norm. max. residual for Q |
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-tol_N_c = 1e-3 # Tolerance criteria for the norm. max. residual for N_c |
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+tol_S = 1e-2 # Tolerance criteria for the norm. max. residual for S |
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+tol_Q = 1e-2 # Tolerance criteria for the norm. max. residual for Q |
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+tol_N_c = 1e-2 # Tolerance criteria for the norm. max. residual for N_c |
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max_iter = 1e2*Ns # Maximum number of solver iterations before failure |
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print_output_convergence = False # Display convergence in nested loops |
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print_output_convergence_main = True # Display convergence in main loop |
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safety = 0.01 # Safety factor ]0;1] for adaptive timestepping |
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plot_interval = 20 # Time steps between plots |
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plot_during_iterations = False # Generate plots for intermediate results |
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-speedup_factor = 1. # Speed up channel growth to reach steady state faster |
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-# relax = 0.05 # Relaxation parameter for effective pressure ]0;1] |
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# Physical parameters |
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rho_w = 1000. # Water density [kg/m^3] |
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t@@ -48,8 +46,8 @@ tau_c = 0.016 # Critical Shields stress, Lajeunesse e… |
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# Boundary conditions |
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P_terminus = 0. # Water pressure at terminus [Pa] |
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-m_dot = numpy.linspace(0., 1e-5, Ns-1) # Water source term [m/s] |
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-Q_upstream = 1e-5 # Water influx upstream (must be larger than 0) [m^3/s] |
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+m_dot = numpy.linspace(1e-6, 1e-5, Ns-1) # Water source term [m/s] |
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+Q_upstream = 1e-3 # Water influx upstream (must be larger than 0) [m^3/s] |
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# Channel hydraulic properties |
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manning = 0.1 # Manning roughness coefficient [m^{-1/3} s] |
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t@@ -70,8 +68,6 @@ ds = s[1:] - s[:-1] |
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# Ice thickness [m] |
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H = 6.*(numpy.sqrt(Ls - s + 5e3) - numpy.sqrt(5e3)) + 1.0 |
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-# slope = 0.1 # Surface slope [%] |
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-# H = 1000. + -slope/100.*s |
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# Bed topography [m] |
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b = numpy.zeros_like(H) |
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t@@ -205,10 +201,9 @@ def pressure_solver(psi, f, Q, S): |
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it += 1 |
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return N_c |
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- # return N_c_old*(1 - relax_N_c) + N_c*relax_N_c |
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-def plot_state(step, time, S_, S_max_, title=True): |
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+def plot_state(step, time, S_, S_max_, title=False): |
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# Plot parameters along profile |
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fig = plt.gcf() |
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fig.set_size_inches(3.3*1.1, 3.3*1.1*1.5) |
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t@@ -224,11 +219,14 @@ def plot_state(step, time, S_, S_max_, title=True): |
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if title: |
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plt.title('Day: {:.3}'.format(time/(60.*60.*24.))) |
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ax_Pa.legend(loc=2) |
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- ax_m3s.legend(loc=4) |
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+ ax_m3s.legend(loc=1) |
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ax_Pa.set_ylabel('[MPa]') |
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ax_m3s.set_ylabel('[m$^3$/s]') |
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- ax_m3s_sed = plt.subplot(3, 1, 2, sharex=ax_Pa) |
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+ # ax_m3s_sed = plt.subplot(3, 1, 2, sharex=ax_Pa) |
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+ ax_m3s_sed_blank = plt.subplot(3, 1, 2, sharex=ax_Pa) |
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+ ax_m3s_sed_blank.get_yaxis().set_visible(False) |
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+ ax_m3s_sed = ax_m3s_sed_blank.twinx() |
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ax_m3s_sed.plot(s_c/1000., Q_s, '-', label='$Q_{s}$') |
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ax_m3s_sed.set_ylabel('[m$^3$/s]') |
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ax_m3s_sed.legend(loc=2) |
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t@@ -327,14 +325,11 @@ while time <= t_end: |
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# Determine change in channel size for each channel segment. |
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# Use backward differences and assume dS/dt=0 in first segment. |
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dSdt[1:] = channel_growth_rate_sedflux(Q_s, porosity, s_c) |
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- # dSdt *= speedup_factor * relax |
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# Update channel cross-sectional area and width according to growth |
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# rate and size limit for each channel segment |
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- # S_prev = S.copy() |
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S, W, S_max, dSdt = \ |
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update_channel_size_with_limit(S, S_old, dSdt, dt, N_c) |
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- # S = S_prev*(1.0 - relax) + S*relax |
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f = channel_hydraulic_roughness(manning, S, W, theta) |
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