Tutorial 1: The Theis solution

In the following the well known Theis function is called an plotted for three different time-steps.

Reference: Theis 1935

import numpy as np
from matplotlib import pyplot as plt
from anaflow import theis


time = [10, 100, 1000]
rad = np.geomspace(0.1, 10)

head = theis(time=time, rad=rad, storage=1e-4, transmissivity=1e-4, rate=-1e-4)

for i, step in enumerate(time):
    plt.plot(rad, head[i], label="Theis(t={})".format(step))

plt.legend()
plt.tight_layout()
plt.show()