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ex-gwt-prudic2004t2.py.
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SFR1 Manual Problem 2
This problem is based on the stream-aquifer interaction problem described as Test 2 by Prudic et al 2004, which modifies another problem originally described by Merritt et al 2000. The purpose for including this problem is to demonstrate the use of MODFLOW 6 to simulate solute transport through a coupled system consisting of an aquifer, streams, and lakes. The example requires accurate simulation of transport within the streams and lakes and also between the surface water features and the underlying aquifer.
Initial setup
Import dependencies, define the example name and workspace, and read settings from environment variables.
[1]:
import os
import pathlib as pl
from pprint import pformat
import flopy
import git
import matplotlib.pyplot as plt
import numpy as np
import pooch
from flopy.plot.styles import styles
from modflow_devtools.misc import get_env, timed
# Example name and workspace paths. If this example is running
# in the git repository, use the folder structure described in
# the README. Otherwise just use the current working directory.
sim_name = "ex-gwt-prudic2004t2"
try:
root = pl.Path(git.Repo(".", search_parent_directories=True).working_dir)
except:
root = None
workspace = root / "examples" if root else pl.Path.cwd()
figs_path = root / "figures" if root else pl.Path.cwd()
data_path = pl.Path(f"../data/{sim_name}")
data_path = data_path if data_path.is_dir() else pl.Path.cwd()
# Settings from environment variables
write = get_env("WRITE", True)
run = get_env("RUN", True)
plot = get_env("PLOT", True)
plot_show = get_env("PLOT_SHOW", True)
plot_save = get_env("PLOT_SAVE", True)
Define parameters
Define model units, parameters and other settings.
[2]:
# Model units
length_units = "feet"
time_units = "days"
# Model parameters
hk = 250.0 # Horizontal hydraulic conductivity ($ft d^{-1}$)
vk = 125.0 # Vertical hydraulic conductivity ($ft d^{-1}$)
ss = 0.0 # Storage coefficient (unitless)
aquifer_thickness = 120.0 # Aquifer thickness ($ft$)
porosity = 0.30 # Porosity of mobile domain (unitless)
recharge = 4.79e-3 # Recharge rate ($ft d^{-1}$)
lakebed_leakance = 1.0 # Lakebed leakance ($ft^{-1}$)
streambed_k = 100.0 # Streambed hydraulic conductivity ($ft d^{-1}$)
streambed_thick = 1.0 # Streambed thickness ($ft$)
stream_width = 5.0 # Stream width ($ft$)
manning = 0.03 # Manning's roughness coefficient (unitless)
alpha_l = 20.0 # Longitudinal dispersivity ($ft$)
alpha_th = 2.0 # Transverse horizontal dispersivity ($ft$)
alpha_tv = 0.2 # Transverse vertical dispersivity ($ft$)
diffc = 0.0 # Diffusion coefficient ($ft^2 d^{-1}$)
cstrt = 0.0 # Initial concentration (micrograms per liter)
source_concentration = 500.0 # Source concentration (micrograms per liter)
nlay = 8 # Number of layers
nrow = 36 # Number of rows
ncol = 23 # Number of columns
delr = 405.665 # Column width ($ft$)
delc = 403.717 # Row width ($ft$)
delv = 15.0 # Layer thickness ($ft$)
top = 100.0 # Top of the model ($ft$)
total_time = 9131.0 # Total simulation time ($d$)
# Load Data Arrays
fname = "bot1.dat"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:c510defe0eb1ba1fbfab5663ff63cd83",
)
bot0 = np.loadtxt(fpath)
botm = [bot0] + [bot0 - (15.0 * k) for k in range(1, nlay)]
fname = "idomain1.dat"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:45d1ca08015e4a34125ccd95a83da0ee",
)
idomain0 = np.loadtxt(fpath, dtype=int)
idomain = nlay * [idomain0]
fname = "lakibd.dat"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:18c90af94c34825a206935b7ddace2f9",
)
lakibd = np.loadtxt(fpath, dtype=int)
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/bot1.dat' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/bot1.dat'.
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/idomain1.dat' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/idomain1.dat'.
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/lakibd.dat' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/lakibd.dat'.
Model setup
Define functions to build models, write input files, and run the simulation.
[3]:
def get_stream_data():
fname = "stream.csv"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:1291c8dec5a415866c711ee14bf0b1f8",
)
dt = 5 * [int] + [float]
streamdata = np.genfromtxt(fpath, names=True, delimiter=",", dtype=dt)
connectiondata = [[ireach] for ireach in range(streamdata.shape[0])]
isegold = -1
distance_along_segment = []
distance = 0
for ireach, row in enumerate(streamdata):
iseg = row["seg"] - 1
if iseg == isegold:
connectiondata[ireach].append(ireach - 1)
connectiondata[ireach - 1].append(-ireach)
distance += (
streamdata["length"][ireach - 1] * 0.5
+ streamdata["length"][ireach] * 0.5
)
else:
distance = 0.5 * streamdata["length"][ireach]
isegold = iseg
distance_along_segment.append(distance)
# add a few additional connections
connectiondata[17].append(-31)
connectiondata[31].append(17)
connectiondata[30].append(-31)
connectiondata[31].append(30)
packagedata = []
segment_lengths = []
for iseg in [1, 2, 3, 4]:
idx = np.where(streamdata["seg"] == iseg)
segment_length = streamdata["length"][idx].sum()
segment_lengths.append(segment_length)
emaxmin = [(49, 45), (44.5, 34), (41.5, 34.0), (34.0, 27.2)]
segment_gradients = []
for iseg, (emax, emin) in enumerate(emaxmin):
segment_gradients.append((emax - emin) / segment_lengths[iseg])
ustrf = 1.0
ndv = 0
for ireach, row in enumerate(streamdata):
k, i, j = row["layer"] - 1, row["row"] - 1, row["col"] - 1
length = row["length"]
iseg = row["seg"] - 1
rgrd = segment_gradients[iseg]
emax, emin = emaxmin[iseg]
rtp = distance_along_segment[ireach] / segment_lengths[iseg] * (emax - emin)
rtp = emax - rtp
boundname = f"SEG{iseg + 1}"
rec = (
ireach,
(k, i, j),
length,
stream_width,
rgrd,
rtp,
streambed_thick,
streambed_k,
manning,
len(connectiondata[ireach]) - 1,
ustrf,
ndv,
boundname,
)
packagedata.append(rec)
return packagedata, connectiondata
def build_mf6gwf(sim_folder):
global idomain
print(f"Building mf6gwf model...{sim_folder}")
name = "flow"
sim_ws = os.path.join(workspace, sim_folder, "mf6gwf")
sim = flopy.mf6.MFSimulation(sim_name=name, sim_ws=sim_ws, exe_name="mf6")
tdis_data = [(total_time, 1, 1.0)]
flopy.mf6.ModflowTdis(
sim, nper=len(tdis_data), perioddata=tdis_data, time_units=time_units
)
flopy.mf6.ModflowIms(
sim,
print_option="summary",
outer_maximum=1000,
inner_maximum=50,
outer_dvclose=0.01,
inner_dvclose=0.01,
relaxation_factor=0.99,
)
gwf = flopy.mf6.ModflowGwf(sim, modelname=name, save_flows=True)
dis = flopy.mf6.ModflowGwfdis(
gwf,
length_units=length_units,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm,
idomain=idomain,
)
flopy.mf6.ModflowGwfnpf(
gwf,
save_specific_discharge=True,
save_saturation=True,
icelltype=[1] + 7 * [0],
k=hk,
k33=vk,
)
flopy.mf6.ModflowGwfic(gwf, strt=50.0)
head_filerecord = f"{name}.hds"
budget_filerecord = f"{name}.bud"
flopy.mf6.ModflowGwfoc(
gwf,
head_filerecord=head_filerecord,
budget_filerecord=budget_filerecord,
saverecord=[("HEAD", "ALL"), ("BUDGET", "ALL")],
)
flopy.mf6.ModflowGwfrcha(gwf, recharge={0: recharge}, pname="RCH-1")
chdlist = []
fname = "chd.dat"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:7889521ec9ec9521377d604d9f6d1f74",
)
for line in open(fpath).readlines():
ll = line.strip().split()
if len(ll) == 4:
k, i, j, hd = ll
chdlist.append(
[
(
int(k) - 1,
int(i) - 1,
int(j) - 1,
),
float(hd),
]
)
flopy.mf6.ModflowGwfchd(gwf, stress_period_data=chdlist, pname="CHD-1")
idomain = dis.idomain.array
lake_map = np.ones((nlay, nrow, ncol), dtype=np.int32) * -1
lake_map[0, :, :] = lakibd[:, :] - 1
(
idomain,
lakepakdata_dict,
lakeconnectiondata,
) = flopy.mf6.utils.get_lak_connections(
gwf.modelgrid,
lake_map,
idomain=idomain,
bedleak=lakebed_leakance,
)
gwf.dis.idomain.set_data(idomain[0], layer=0, multiplier=[1])
lakpackagedata = [
[0, 44.0, lakepakdata_dict[0], "lake1"],
[1, 35.2, lakepakdata_dict[1], "lake2"],
]
# <outletno> <lakein> <lakeout> <couttype> <invert> <width> <rough> <slope>
outlets = [[0, 0, -1, "MANNING", 44.5, 3.36493214532915, 0.03, 0.2187500e-02]]
flopy.mf6.ModflowGwflak(
gwf,
time_conversion=86400.000,
length_conversion=3.28081,
print_stage=True,
print_flows=True,
stage_filerecord=name + ".lak.bin",
budget_filerecord=name + ".lak.bud",
mover=True,
pname="LAK-1",
boundnames=True,
nlakes=len(lakpackagedata),
noutlets=len(outlets),
outlets=outlets,
packagedata=lakpackagedata,
connectiondata=lakeconnectiondata,
)
sfrpackagedata, sfrconnectiondata = get_stream_data()
sfrperioddata = {0: [[0, "inflow", 86400], [18, "inflow", 8640.0]]}
sfr_obs = {
(name + ".sfr.obs.csv",): [
("reach1leakage", "SFR", "SEG1"),
("reach2leakage", "SFR", "SEG2"),
("reach3leakage", "SFR", "SEG3"),
("reach4leakage", "SFR", "SEG4"),
],
}
sfr_obs["digits"] = 7
sfr_obs["print_input"] = True
sfr_obs["filename"] = name + ".sfr.obs"
flopy.mf6.ModflowGwfsfr(
gwf,
print_stage=True,
print_flows=True,
stage_filerecord=name + ".sfr.bin",
budget_filerecord=name + ".sfr.bud",
mover=True,
pname="SFR-1",
time_conversion=86400.000,
length_conversion=3.28081,
boundnames=True,
nreaches=len(sfrconnectiondata),
packagedata=sfrpackagedata,
connectiondata=sfrconnectiondata,
perioddata=sfrperioddata,
observations=sfr_obs,
)
maxmvr, maxpackages = 2, 2
mvrpack = [["SFR-1"], ["LAK-1"]]
mvrperioddata = [
["SFR-1", 5, "LAK-1", 0, "FACTOR", 1.0],
["LAK-1", 0, "SFR-1", 6, "FACTOR", 1.0],
]
flopy.mf6.ModflowGwfmvr(
gwf,
maxmvr=maxmvr,
print_flows=True,
budget_filerecord=name + ".mvr.bud",
maxpackages=maxpackages,
packages=mvrpack,
perioddata=mvrperioddata,
)
return sim
def build_mf6gwt(sim_folder):
print(f"Building mf6gwt model...{sim_folder}")
name = "trans"
sim_ws = os.path.join(workspace, sim_folder, "mf6gwt")
sim = flopy.mf6.MFSimulation(sim_name=name, sim_ws=sim_ws, exe_name="mf6")
tdis_data = ((total_time, 300, 1.0),)
flopy.mf6.ModflowTdis(
sim, nper=len(tdis_data), perioddata=tdis_data, time_units=time_units
)
flopy.mf6.ModflowIms(
sim,
print_option="SUMMARY",
outer_maximum=50,
under_relaxation="DBD",
under_relaxation_theta=0.7,
linear_acceleration="bicgstab",
relaxation_factor=0.97,
)
gwt = flopy.mf6.ModflowGwt(sim, modelname=name, save_flows=True)
flopy.mf6.ModflowGwtdis(
gwt,
length_units=length_units,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm,
idomain=idomain,
)
flopy.mf6.ModflowGwtic(gwt, strt=0)
flopy.mf6.ModflowGwtmst(gwt, porosity=porosity)
flopy.mf6.ModflowGwtadv(gwt, scheme="TVD")
flopy.mf6.ModflowGwtdsp(
gwt,
alh=alpha_l,
ath1=alpha_th,
ath2=alpha_tv,
)
sourcerecarray = [[]]
flopy.mf6.ModflowGwtssm(gwt, sources=sourcerecarray)
cnclist = [
[(0, 0, 11), 500.0],
[(0, 0, 12), 500.0],
[(0, 0, 13), 500.0],
[(0, 0, 14), 500.0],
[(1, 0, 11), 500.0],
[(1, 0, 12), 500.0],
[(1, 0, 13), 500.0],
[(1, 0, 14), 500.0],
]
flopy.mf6.ModflowGwtcnc(
gwt,
maxbound=len(cnclist),
stress_period_data=cnclist,
save_flows=False,
pname="CNC-1",
)
lktpackagedata = [
(0, 0.0, 99.0, 999.0, "mylake1"),
(1, 0.0, 99.0, 999.0, "mylake2"),
]
lktperioddata = [
(0, "STATUS", "ACTIVE"),
(1, "STATUS", "ACTIVE"),
]
lkt_obs = {
(name + ".lkt.obs.csv",): [
("lkt1conc", "CONCENTRATION", 1),
("lkt2conc", "CONCENTRATION", 2),
("lkt1frommvr", "FROM-MVR", (0,)),
("lkt2frommvr", "FROM-MVR", (1,)),
("lkt1tomvr", "TO-MVR", (0,)),
("lkt1bntomvr", "TO-MVR", "mylake1"),
],
}
lkt_obs["digits"] = 7
lkt_obs["print_input"] = True
lkt_obs["filename"] = name + ".lkt.obs"
flopy.mf6.modflow.ModflowGwtlkt(
gwt,
boundnames=True,
save_flows=True,
print_input=True,
print_flows=True,
print_concentration=True,
concentration_filerecord=name + ".lkt.bin",
budget_filerecord=name + ".lkt.bud",
packagedata=lktpackagedata,
lakeperioddata=lktperioddata,
observations=lkt_obs,
pname="LAK-1",
auxiliary=["aux1", "aux2"],
)
nreach = 38
sftpackagedata = []
for irno in range(nreach):
t = (irno, 0.0, 99.0, 999.0, f"myreach{irno + 1}")
sftpackagedata.append(t)
sftperioddata = [
(0, "STATUS", "ACTIVE"),
]
sft_obs = {
(name + ".sft.obs.csv",): [
(f"sft{i + 1}conc", "CONCENTRATION", i + 1) for i in range(nreach)
]
}
# append additional obs attributes to obs dictionary
sft_obs["digits"] = 7
sft_obs["print_input"] = True
sft_obs["filename"] = name + ".sft.obs"
flopy.mf6.modflow.ModflowGwtsft(
gwt,
boundnames=True,
save_flows=True,
print_input=True,
print_flows=True,
print_concentration=True,
concentration_filerecord=name + ".sft.bin",
budget_filerecord=name + ".sft.bud",
packagedata=sftpackagedata,
reachperioddata=sftperioddata,
observations=sft_obs,
pname="SFR-1",
auxiliary=["aux1", "aux2"],
)
pd = [
("GWFHEAD", "../mf6gwf/flow.hds", None),
("GWFBUDGET", "../mf6gwf/flow.bud", None),
("GWFMOVER", "../mf6gwf/flow.mvr.bud", None),
("LAK-1", "../mf6gwf/flow.lak.bud", None),
("SFR-1", "../mf6gwf/flow.sfr.bud", None),
]
flopy.mf6.ModflowGwtfmi(gwt, packagedata=pd)
# mover transport package
flopy.mf6.modflow.ModflowGwtmvt(gwt, print_flows=True)
flopy.mf6.ModflowGwtoc(
gwt,
budget_filerecord=f"{name}.bud",
concentration_filerecord=f"{name}.ucn",
concentrationprintrecord=[
("COLUMNS", ncol, "WIDTH", 15, "DIGITS", 6, "GENERAL")
],
saverecord=[("CONCENTRATION", "ALL"), ("BUDGET", "ALL")],
printrecord=[("CONCENTRATION", "LAST"), ("BUDGET", "ALL")],
)
return sim
def build_models(sim_name):
sims = None
sim_mf6gwf = build_mf6gwf(sim_name)
sim_mf6gwt = build_mf6gwt(sim_name)
return sim_mf6gwf, sim_mf6gwt
def write_models(sims, silent=True):
sim_mf6gwf, sim_mf6gwt = sims
sim_mf6gwf.write_simulation(silent=silent)
sim_mf6gwt.write_simulation(silent=silent)
@timed
def run_models(sims, silent=True):
sim_mf6gwf, sim_mf6gwt = sims
success, buff = sim_mf6gwf.run_simulation(silent=silent, report=True)
assert success, pformat(buff)
success, buff = sim_mf6gwt.run_simulation(silent=silent, report=True)
assert success, pformat(buff)
Plotting results
Define functions to plot model results.
[4]:
# Figure properties
figure_size = (6, 6)
def plot_bcmap(ax, gwf, layer=0):
pmv = flopy.plot.PlotMapView(model=gwf, ax=ax, layer=layer)
# pmv.plot_grid()
pmv.plot_inactive(color_noflow="gray", alpha=0.25)
pmv.plot_array(lakibd, masked_values=[0], alpha=0.2)
pmv.plot_bc(name="CHD-1", color="blue")
# pmv.plot_bc(name="LAK-1", color="yellow")
pmv.plot_bc(name="SFR-1", color="green")
ax.set_xlabel("x position (ft)")
ax.set_ylabel("y position (ft)")
ax.set_aspect("equal")
return pmv
def plot_results(sims):
plot_gwf_results(sims)
plot_gwt_results(sims)
def plot_gwf_results(sims):
print("Plotting model results...")
sim_mf6gwf, _ = sims
gwf = sim_mf6gwf.flow
with styles.USGSMap():
sim_ws = sim_mf6gwf.simulation_data.mfpath.get_sim_path()
head = gwf.output.head().get_data()
stage = gwf.lak.output.stage().get_data().flatten()
il, jl = np.where(lakibd > 0)
for i, j in zip(il, jl):
ilak = lakibd[i, j] - 1
lake_stage = stage[ilak]
head[0, i, j] = lake_stage
fig, axs = plt.subplots(1, 2, figsize=figure_size, dpi=300, tight_layout=True)
for ilay in [0, 1]:
ax = axs[ilay]
pmv = plot_bcmap(ax, gwf, ilay)
levels = np.arange(20, 60, 1)
cs = pmv.contour_array(
head,
colors="blue",
linestyles="-",
levels=levels,
masked_values=[1.0e30],
)
ax.clabel(cs, cs.levels[::5], fmt="%1.0f", colors="b")
title = f"Model Layer {ilay + 1}"
letter = chr(ord("@") + ilay + 1)
styles.heading(letter=letter, heading=title, ax=ax)
if plot_show:
plt.show()
if plot_save:
sim_folder = os.path.split(sim_ws)[0]
sim_folder = os.path.basename(sim_folder)
fname = f"{sim_folder}-head.png"
fpth = figs_path / fname
fig.savefig(fpth)
def plot_gwt_results(sims):
print("Plotting model results...")
sim_mf6gwf, sim_mf6gwt = sims
gwf = sim_mf6gwf.flow
gwt = sim_mf6gwt.trans
with styles.USGSMap() as fs:
sim_ws = sim_mf6gwt.simulation_data.mfpath.get_sim_path()
conc = gwt.output.concentration().get_data()
lakconc = gwt.lak.output.concentration().get_data().flatten()
il, jl = np.where(lakibd > 0)
for i, j in zip(il, jl):
ilak = lakibd[i, j] - 1
lake_conc = lakconc[ilak]
conc[0, i, j] = lake_conc
fig, axs = plt.subplots(2, 2, figsize=(5, 7), dpi=300, tight_layout=True)
for iplot, ilay in enumerate([0, 2, 4, 7]):
ax = axs.flatten()[iplot]
pmv = plot_bcmap(ax, gwf, ilay)
levels = levels = [
1,
10,
25,
50,
100,
150,
200,
250,
300,
350,
400,
450,
500,
]
cs = pmv.contour_array(
conc,
colors="blue",
linestyles="-",
levels=levels,
linewidths=1.0,
masked_values=[1.0e30],
)
ax.clabel(cs, cs.levels[::1], fmt="%1.0f", colors="b")
title = f"Model Layer {ilay + 1}"
letter = chr(ord("@") + iplot + 1)
styles.heading(letter=letter, heading=title, ax=ax)
if plot_show:
plt.show()
if plot_save:
sim_folder = os.path.split(sim_ws)[0]
sim_folder = os.path.basename(sim_folder)
fname = f"{sim_folder}-conc.png"
fpth = figs_path / fname
fig.savefig(fpth)
# create concentration timeseries plot
lkaconc = gwt.lak.output.concentration().get_alldata()[:, 0, 0, :]
bobj = gwt.sfr.output.concentration()
sfaconc = bobj.get_alldata()[:, 0, 0, :]
times = bobj.times
with styles.USGSPlot():
fig, axs = plt.subplots(1, 1, figsize=(5, 3), dpi=300, tight_layout=True)
ax = axs
times = np.array(times) / 365.0
ax.plot(times, lkaconc[:, 0], "b-", label="Lake 1 and Stream Segment 2")
ax.plot(times, sfaconc[:, 30], "r-", label="Stream Segment 3")
ax.plot(times, sfaconc[:, 37], "g-", label="Stream Segment 4")
fname = "teststrm.sg2"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:4bb5e256ed8b67f1743d547b43a610d0",
)
sg = np.genfromtxt(fpath, comments='"')
ax.plot(sg[:, 0] / 365.0, sg[:, 6], "b--")
fname = "teststrm.sg3"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:a30d8e27d0bbe09dcb9f39d115592ff5",
)
sg = np.genfromtxt(fpath, comments='"')
ax.plot(sg[:, 0] / 365.0, sg[:, 6], "r--")
fname = "teststrm.sg4"
fpath = pooch.retrieve(
url=f"https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/{sim_name}/{fname}",
fname=fname,
path=data_path,
known_hash="md5:ec589d7333fe160842945b5895f5160a",
)
sg = np.genfromtxt(fpath, comments='"')
ax.plot(sg[:, 0] / 365.0, sg[:, 3], "g--")
styles.graph_legend()
ax.set_ylim(0, 50)
ax.set_xlim(0, 25)
ax.set_xlabel("TIME, IN YEARS")
ax.set_ylabel("SIMULATED BORON CONCENTRATION,\nIN MICROGRAMS PER LITER")
if plot_show:
plt.show()
if plot_save:
sim_folder = os.path.split(sim_ws)[0]
sim_folder = os.path.basename(sim_folder)
fname = f"{sim_folder}-cvt.png"
fpth = figs_path / fname
fig.savefig(fpth)
Running the example
Define and invoke a function to run the example scenario, then plot results.
[5]:
def scenario(silent=True):
sims = build_models(sim_name)
if write:
write_models(sims, silent=silent)
if run:
run_models(sims, silent=silent)
if plot:
plot_results(sims)
scenario()
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/chd.dat' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/chd.dat'.
Building mf6gwf model...ex-gwt-prudic2004t2
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/stream.csv' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/stream.csv'.
Building mf6gwt model...ex-gwt-prudic2004t2
run_models took 23340.41 ms
Plotting model results...
Plotting model results...
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/teststrm.sg2' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/teststrm.sg2'.
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/teststrm.sg3' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/teststrm.sg3'.
Downloading data from 'https://github.com/MODFLOW-USGS/modflow6-examples/raw/master/data/ex-gwt-prudic2004t2/teststrm.sg4' to file '/home/runner/work/modflow6-examples/modflow6-examples/modflow6-examples/.doc/_notebooks/teststrm.sg4'.
