# Wet Top Scenario Felicien
import os
import matplotlib.pyplot as plt
from vtk_tools import *
import van_genuchten as vg
# go to the right place
path = os.path.dirname(os.path.realpath(__file__))
os.chdir(path)
os.chdir("../../../build-cmake/rosi_benchmarking/soil")
np_ = 8 # number of processors
# run dumux
if np_ == 1:
os.system("./richards3d benchmarks_3d/swtop.input")
else:
os.system("mpirun -n " + str(np_) + " ./richards3d benchmarks_3d/swtop.input -Grid.Overlap 0")
# Figure
s_, p_, z1_ = read3D_vtp("swtop-00001", np_)
h1_ = vg.pa2head(p_)
plt.plot(h1_, (z1_ - 1.26) * 100, "r+")
plt.xlabel('$\psi$ (cm)')
plt.ylabel('Depth (cm)')
plt.show()
"./rootsystem input/b1.input -RootSystem.Grid.File grids/singlerootH.dgf -Problem.Name benchmark1b"
)
p2_ = read1D_vtp_data("benchmark1b-00001.vtp",
False) # !!!! Box = False, CCTpfa = True
os.system(
"./rootsystem input/b1.input -RootSystem.Collar.Transpiration 17.28 -Problem.Name benchmark1c"
)
p3_ = read1D_vtp_data("benchmark1c-00001.vtp",
False) # !!!! Box = False, CCTpfa = True
# plot
fig, (ax1, ax2, ax3) = plt.subplots(1, 3)
# benchmark 1
z_ = np.linspace(0, -0.5, len(p_))
h_ = vg.pa2head(p_)
ax1.plot(h_, z_, "r+")
ax1.plot(pr, za_, "b")
ax1.set_ylabel("Depth (m)")
ax1.set_xlabel("Xylem pressure (cm)")
ax1.set_title("Benchmark 1")
# benchmark without gravity
h_ = vg.pa2head(p2_)
ax2.plot(h_, z_, "r+")
ax2.plot(pr, za_, "c")
ax2.plot(pr2, za_, "b")
ax2.set_ylabel("Depth (m)")
ax2.set_xlabel("Xylem pressure (cm)")
ax2.set_title("Benchmark 1 - neglecting gravitation")
from vtk_tools import *
import van_genuchten as vg
# go to the right place
path = os.path.dirname(os.path.realpath(__file__))
os.chdir(path)
os.chdir("../../../build-cmake/rosi_benchmarking/soil")
# run dumux
os.system("./richards1d benchmarks_1d/b1a.input")
os.system("./richards1d benchmarks_1d/b1b.input")
os.system("./richards1d benchmarks_1d/b1c.input")
# Figure 2a
s_, p_, z1_ = read1D_vtp_data("benchmark1d_1a-00001.vtp", False)
h1_ = vg.pa2head(p_)
ax1.plot(h1_, z1_ * 100, "r+")
# Figure 2b
s_, p_, z2_ = read1D_vtp_data("benchmark1d_1b-00001.vtp", False)
h2_ = vg.pa2head(p_)
ax2.plot(h2_, z2_ * 100, "r+")
# Figure 2c
s_, p_, z3_ = read1D_vtp_data("benchmark1d_1c-00001.vtp", False)
h3_ = vg.pa2head(p_)
ax3.plot(h3_, z3_ * 100, "r+")
np.savetxt("dumux1d_b1", np.vstack((z1_, h1_, z2_, h2_, z3_, h3_)), delimiter = ",")
plt.show()
os.system("./richards3d benchmarks_3d/b3c.input")
else:
pass
os.system("mpirun -n " + str(np_) +
" ./richards3d benchmarks_3d/b3a.input -Grid.Overlap 0")
os.system("mpirun -n " + str(np_) +
" ./richards3d benchmarks_3d/b3b.input -Grid.Overlap 0")
os.system("mpirun -n " + str(np_) +
" ./richards3d benchmarks_3d/b3c.input -Grid.Overlap 0")
ex = [] # list for data for export
# result (Figure 4a)
for i in range(0, 3):
s_, p_, z_ = read3D_vtp("benchmark3d_3a-0000" + str(i + 1), np_)
h_ = vg.pa2head(p_)
theta_ = vg.water_content(h_, sand)
ax1.plot(theta_, (z_ - 2) * 100, "r+")
ex.append(z_ - 2)
ex.append(theta_)
# result (Figure 4b)
for i in range(0, 3):
s_, p_, z_ = read3D_vtp("benchmark3d_3b-0000" + str(i + 1), np_)
h_ = vg.pa2head(p_)
theta_ = vg.water_content(h_, loam)
ax2.plot(theta_, (z_ - 2) * 100, "r+")
ex.append(z_ - 2)
ex.append(theta_)
# result (Figure 4c)