forked from modflowpy/flopy
-
Notifications
You must be signed in to change notification settings - Fork 0
/
flopy_henry.py
221 lines (191 loc) · 6.12 KB
/
flopy_henry.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
import os
import sys
from tempfile import TemporaryDirectory
import matplotlib.pyplot as plt
import numpy as np
import flopy
def run(workspace, quiet):
fext = "png"
narg = len(sys.argv)
iarg = 0
if narg > 1:
while iarg < narg - 1:
iarg += 1
basearg = sys.argv[iarg].lower()
if basearg == "--pdf":
fext = "pdf"
# Input variables for the Henry Problem
Lx = 2.0
Lz = 1.0
nlay = 50
nrow = 1
ncol = 100
delr = Lx / ncol
delc = 1.0
delv = Lz / nlay
henry_top = 1.0
henry_botm = np.linspace(henry_top - delv, 0.0, nlay)
qinflow = 5.702 # m3/day
dmcoef = 0.57024 # m2/day Could also try 1.62925 as another case of the Henry problem
hk = 864.0 # m/day
# Create the basic MODFLOW model data
modelname = "flopy_henry"
m = flopy.seawat.Seawat(modelname, exe_name="swtv4", model_ws=workspace)
# Add DIS package to the MODFLOW model
dis = flopy.modflow.ModflowDis(
m,
nlay,
nrow,
ncol,
nper=1,
delr=delr,
delc=delc,
laycbd=0,
top=henry_top,
botm=henry_botm,
perlen=1.5,
nstp=15,
)
# Variables for the BAS package
ibound = np.ones((nlay, nrow, ncol), dtype=np.int32)
ibound[:, :, -1] = -1
bas = flopy.modflow.ModflowBas(m, ibound, 0)
# Add LPF package to the MODFLOW model
lpf = flopy.modflow.ModflowLpf(m, hk=hk, vka=hk, ipakcb=53)
# Add PCG Package to the MODFLOW model
pcg = flopy.modflow.ModflowPcg(m, hclose=1.0e-8)
# Add OC package to the MODFLOW model
oc = flopy.modflow.ModflowOc(
m,
stress_period_data={(0, 0): ["save head", "save budget"]},
compact=True,
)
# Create WEL and SSM data
itype = flopy.mt3d.Mt3dSsm.itype_dict()
wel_data = {}
ssm_data = {}
wel_sp1 = []
ssm_sp1 = []
for k in range(nlay):
wel_sp1.append([k, 0, 0, qinflow / nlay])
ssm_sp1.append([k, 0, 0, 0.0, itype["WEL"]])
ssm_sp1.append([k, 0, ncol - 1, 35.0, itype["BAS6"]])
wel_data[0] = wel_sp1
ssm_data[0] = ssm_sp1
wel = flopy.modflow.ModflowWel(m, stress_period_data=wel_data)
# Create the basic MT3DMS model data
btn = flopy.mt3d.Mt3dBtn(
m,
nprs=-5,
prsity=0.35,
sconc=35.0,
ifmtcn=0,
chkmas=False,
nprobs=10,
nprmas=10,
dt0=0.001,
)
adv = flopy.mt3d.Mt3dAdv(m, mixelm=0)
dsp = flopy.mt3d.Mt3dDsp(m, al=0.0, trpt=1.0, trpv=1.0, dmcoef=dmcoef)
gcg = flopy.mt3d.Mt3dGcg(m, iter1=500, mxiter=1, isolve=1, cclose=1e-7)
ssm = flopy.mt3d.Mt3dSsm(m, stress_period_data=ssm_data)
# Create the SEAWAT model data
vdf = flopy.seawat.SeawatVdf(
m,
iwtable=0,
densemin=0,
densemax=0,
denseref=1000.0,
denseslp=0.7143,
firstdt=1e-3,
)
# Write the input files
m.write_input()
# Try to delete the output files, to prevent accidental use of older files
try:
os.remove(os.path.join(workspace, "MT3D001.UCN"))
os.remove(os.path.join(workspace, f"{modelname}.hds"))
os.remove(os.path.join(workspace, f"{modelname}.cbc"))
except:
pass
# run the model
m.run_model(silent=quiet)
# Post-process the results
# Load data
ucnobj = flopy.utils.binaryfile.UcnFile(
os.path.join(workspace, "MT3D001.UCN"), model=m
)
times = ucnobj.get_times()
concentration = ucnobj.get_data(totim=times[-1])
cbbobj = flopy.utils.binaryfile.CellBudgetFile(
os.path.join(workspace, f"{modelname}.cbc")
)
times = cbbobj.get_times()
qx = cbbobj.get_data(text="flow right face", totim=times[-1])[0]
qz = cbbobj.get_data(text="flow lower face", totim=times[-1])[0]
# Average flows to cell centers
qx_avg = np.empty(qx.shape, dtype=qx.dtype)
qx_avg[:, :, 1:] = 0.5 * (qx[:, :, 0 : ncol - 1] + qx[:, :, 1:ncol])
qx_avg[:, :, 0] = 0.5 * qx[:, :, 0]
qz_avg = np.empty(qz.shape, dtype=qz.dtype)
qz_avg[1:, :, :] = 0.5 * (qz[0 : nlay - 1, :, :] + qz[1:nlay, :, :])
qz_avg[0, :, :] = 0.5 * qz[0, :, :]
# Make the plot
# import matplotlib.pyplot as plt
fig = plt.figure(figsize=(10, 10))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
ax.imshow(
concentration[:, 0, :], interpolation="nearest", extent=(0, Lx, 0, Lz)
)
y, x, z = dis.get_node_coordinates()
X, Z = np.meshgrid(x, z[:, 0, 0])
iskip = 3
ax.quiver(
X[::iskip, ::iskip],
Z[::iskip, ::iskip],
qx_avg[::iskip, 0, ::iskip],
-qz_avg[::iskip, 0, ::iskip],
color="w",
scale=5,
headwidth=3,
headlength=2,
headaxislength=2,
width=0.0025,
)
outfig = os.path.join(workspace, f"henry_flows.{fext}")
fig.savefig(outfig, dpi=300)
print("created...", outfig)
# Extract the heads
fname = os.path.join(workspace, f"{modelname}.hds")
headobj = flopy.utils.binaryfile.HeadFile(fname)
times = headobj.get_times()
head = headobj.get_data(totim=times[-1])
# Make a simple head plot
fig = plt.figure(figsize=(10, 10))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
im = ax.imshow(
head[:, 0, :], interpolation="nearest", extent=(0, Lx, 0, Lz)
)
ax.set_title("Simulated Heads")
outfig = os.path.join(workspace, f"henry_heads.{fext}")
fig.savefig(outfig, dpi=300)
print("created...", outfig)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--keep", help="output directory")
parser.add_argument(
"--quiet", action="store_false", help="don't show model output"
)
args = vars(parser.parse_args())
workspace = args.get("keep", None)
quiet = args.get("quiet", False)
if workspace is not None:
run(workspace, quiet)
else:
try:
with TemporaryDirectory() as workspace:
run(workspace, quiet)
except PermissionError:
# can occur on windows: https://docs.python.org/3/library/tempfile.html#tempfile.TemporaryDirectory
pass