1import numpy as np
2import pandas as pd
3import xarray as xr
4
5import imod
6
7# Discretization
8nrow = 1
9ncol = 160
10nlay = 82
11
12dz = 1.875
13dx = 3.75
14dy = -dx
15
16# setup ibound
17bnd = xr.DataArray(
18 data=np.full((nlay, nrow, ncol), 1.0),
19 coords={
20 "y": [0.5],
21 "x": np.arange(0.5 * dx, dx * ncol, dx),
22 "layer": np.arange(1, 1 + nlay),
23 "dx": dx,
24 "dy": dy,
25 },
26 dims=("layer", "y", "x"),
27)
28
29bnd.plot()
30
31# set constant heads
32bnd[0, :, 0:40] = 0
33bnd[0, :, 121:160] = 0
34bnd[1, :, 0] = -1
35bnd[1, :, 159] = -1
36bnd.plot(y="layer", yincrease=False)
37
38# setup tops and bottoms
39top1D = xr.DataArray(
40 np.arange(nlay * dz, 0.0, -dz), {"layer": np.arange(1, nlay + 1)}, ("layer")
41)
42
43bot = top1D - dz
44top = nlay * dz
45# Define the icbund
46icbund = xr.DataArray(
47 data=np.full((nlay, nrow, ncol), 1.0),
48 coords={
49 "y": [0.5],
50 "x": np.arange(0.5 * dx, dx * ncol, dx),
51 "layer": np.arange(1, nlay + 1),
52 },
53 dims=("layer", "y", "x"),
54)
55
56icbund[81, :, :] = -1
57icbund[0, :, 41:120] = -1
58icbund.plot(y="layer", yincrease=False)
59
60# Define the starting concentration
61sconc = xr.DataArray(
62 data=np.full((nlay, nrow, ncol), 0.0),
63 coords={
64 "y": [0.5],
65 "x": np.arange(0.5 * dx, dx * ncol, dx),
66 "layer": np.arange(1, nlay + 1),
67 },
68 dims=("layer", "y", "x"),
69)
70
71sconc[81, :, :] = 0
72sconc[0, :, 41:120] = 280.0
73
74sconc.plot(y="layer", yincrease=False)
75
76# Finally, we build the model.
77m = imod.wq.SeawatModel("Elder")
78m["bas"] = imod.wq.BasicFlow(ibound=bnd, top=top, bottom=bot, starting_head=0.0)
79m["lpf"] = imod.wq.LayerPropertyFlow(
80 k_horizontal=0.411, k_vertical=0.411, specific_storage=0.0
81)
82m["btn"] = imod.wq.BasicTransport(
83 icbund=icbund, starting_concentration=sconc, porosity=0.1
84)
85m["adv"] = imod.wq.AdvectionTVD(courant=1.0)
86m["dsp"] = imod.wq.Dispersion(longitudinal=0.0, diffusion_coefficient=0.308)
87m["vdf"] = imod.wq.VariableDensityFlow(density_concentration_slope=0.71)
88m["wel"] = imod.wq.Well(id_name="wel", x=0.5 * dx, y=0.5, rate=0.28512)
89m["pcg"] = imod.wq.PreconditionedConjugateGradientSolver(
90 max_iter=150, inner_iter=30, hclose=0.0001, rclose=0.1, relax=0.98, damp=1.0
91)
92m["gcg"] = imod.wq.GeneralizedConjugateGradientSolver(
93 max_iter=150,
94 inner_iter=30,
95 cclose=1.0e-6,
96 preconditioner="mic",
97 lump_dispersion=True,
98)
99m["oc"] = imod.wq.OutputControl(save_head_idf=True, save_concentration_idf=True)
100m.time_discretization(times=["2000-01-01T00:00", "2020-01-01T00:00"])
101
102# Now we write the model
103
104m.write()
105
106# You can run the model using the comand prompt and the iMOD SEAWAT executable
107
108# Visualise results
109# head = imod.idf.open("Elder/results/head/*.idf")
110# head.plot(yincrease=False)
111# conc = imod.idf.open("Elder/results/conc/*.idf")
112# conc.plot(levels=range(0, 35, 5), yincrease=False)