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# -*- coding: utf-8 -*- | ||
import numpy as np | ||
from matplotlib import pyplot as plt | ||
from anaflow import ext_theis_tpl, ext_thiem_tpl | ||
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time = 1e4 # time point for steady state | ||
rad = np.geomspace(0.1, 10) # radius from the pumping well in [0, 4] | ||
r_ref = 10.0 # reference radius | ||
KG = 1e-3 # the geometric mean of the transmissivity | ||
len_scale = 10.0 # correlation length of the log-transmissivity | ||
hurst = 0.5 # hurst coefficient | ||
var = 0.5 # variance of the log-transmissivity | ||
rate = -1e-4 # pumping rate | ||
dim = 1.5 # using a fractional dimension | ||
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head1 = ext_thiem_tpl(rad, r_ref, KG, len_scale, hurst, var, dim=dim, rate=rate) | ||
head2 = ext_theis_tpl(time, rad, 1e-3, KG, len_scale, hurst, var, dim=dim, rate=rate, r_bound=r_ref) | ||
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plt.plot(rad, head1, label="Ext Thiem TPL") | ||
plt.plot(rad, head2, label="Ext Theis TPL (t={})".format(time), linestyle="--") | ||
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# plt.plot(rad, head1 / head2, label="ratio") | ||
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plt.xlabel("r in [m]") | ||
plt.ylabel("h in [m]") | ||
plt.legend() | ||
plt.tight_layout() | ||
plt.show() |
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# -*- coding: utf-8 -*- | ||
import numpy as np | ||
from matplotlib import pyplot as plt | ||
from anaflow import ext_grf, ext_grf_steady, grf | ||
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time = 1e4 # time point for steady state | ||
rad = np.geomspace(0.1, 10) # radius from the pumping well in [0, 4] | ||
r_ref = 10.0 # reference radius | ||
K = 1e-3 # the geometric mean of the transmissivity | ||
rate = -1e-4 # pumping rate | ||
dim = 1.5 # using a fractional dimension | ||
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head1 = ext_grf_steady(rad, r_ref, K, dim=dim, rate=rate) | ||
head2 = ext_grf(time, rad, [1e-3], [K], [0, r_ref], dim=dim, rate=rate) | ||
head3 = grf(time, rad, 1e-3, K, dim=dim, rate=rate) | ||
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plt.plot(rad, head1, label="Ext GRF steady") | ||
plt.plot(rad, head2, label="Ext GRF (t={})".format(time), linestyle="--") | ||
plt.plot(rad, head3 - head3[-1], label="GRF quasi-steady (t={})".format(time), linestyle=":") | ||
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# plt.plot(rad, head1 / head2, label="ratio") | ||
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plt.xlabel("r in [m]") | ||
plt.ylabel("h in [m]") | ||
plt.legend() | ||
plt.tight_layout() | ||
plt.show() |