Transient Flow, Single Layer Aquifer¶
This example is adapted from the Obleo aquifer case, with modifications to make into an unsteady model.
Obleo Aquifer Unsteady Example¶
This is a transient model of the Obleo aquifer system
Note
This model is the identical conceptualization as the prior model, except we will use unsteady flow modeling. We run the simulation to near equilibrium and should get about the same results.
Sone added information about the system is:
The general goals for the analysis are:
So with a little infomration regarding how we will manage elevations we can move forward with the modeling effort.
Now onto modflow
Warning
Nearly every cell throws a deprecation warning, that filterwarnings(‘ignore’) fails to suppress. Code seems to still run on my server, but over time as new updates are added to the kernel the code at some point will fail without addressing the warning. The development computer is aarch64 an arm processor. The AWS server is amd64/intel architecture, which gets a lot of code development so should stay current longer. This continuous integration CI and push changes model of modern IT support is phenomenally annoying, but for time being have to get used to it.
%reset -f
import warnings
warnings.filterwarnings('ignore',category=DeprecationWarning)
import warnings
warnings.filterwarnings('ignore')
import os
import numpy as np
import matplotlib.pyplot as plt
import flopy
#dir(flopy.mf6)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Workspace and Executibles
binary = "/home/sensei/ce-4363-webroot/ModflowExperimental/mf6-arm/mf6" # location on MY DEVELOPMENT computer of the compiled modflow program
workarea = "/home/sensei/ce-4363-webroot/ModflowExperimental/mf6-arm/example_3" # location on MY DEVELOPMENT computer to store files this example (directory must already exist)
# Set Simulation Name
name = "example_3"
#modelname=name
##### FLOPY Build simulation framework ####
sim = flopy.mf6.MFSimulation(
sim_name=name, exe_name=binary, version="mf6", sim_ws=workarea
)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Set Time Structure
Time_Units="YEARS"
# Multiple stress periods
nper = 3 # how many periods
perlen = [1.0, 100.0, 100.0] # how long each one
nstp = [1, 100, 100] # how many steps in each
steady = [True, False, False] # which ones are steady
perioddata = [(1.0,1,1),(30.0,30,1),(30.0,30,1)]
##### FLOPY Build time framework ##########
tdis = flopy.mf6.ModflowTdis(
sim, pname="tdis", time_units=Time_Units, nper=3, perioddata=perioddata,
)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Set Iterative Model Solution (choose solver parameters)
# about IMS see: https://water.usgs.gov/nrp/gwsoftware/ModelMuse/Help/sms_sparse_matrix_solution_pac.htm
# using defaults see: https://flopy.readthedocs.io/en/3.3.2/source/flopy.mf6.modflow.mfims.html
##### FLOPY Build IMS framework ###########
ims = flopy.mf6.ModflowIms(sim, pname="ims", complexity="SIMPLE")
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Set Model Name (using same base name as the simulation)
model_nam_file = "{}.nam".format(name)
##### FLOPY Build Model Name framework ####
gwf = flopy.mf6.ModflowGwf(sim, modelname=name, model_nam_file=model_nam_file)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define The Grid
Nlay = 1 #number layers
Nrow = 11 #number rows
Ncol = 11 #number columns
# Define distances and elevations
delrow = 1000 # cell size along columns (how tall is a row)
delcol = 1000 # cell size along row (how wide is a column)
topelev = 100.0 # elevation of top of aquifer
thick = 1000.0 #aquifer thickness
bot = [topelev-thick] # bot is a list with Nlay entries
#print(bot)
##### FLOPY Build Model Grid framework #####
dis = flopy.mf6.ModflowGwfdis(gwf,nlay=Nlay,nrow=Nrow,ncol=Ncol,delr=delrow,delc=delcol,top=topelev,botm=bot,
)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define initial conditions
h1 = 0.0 #
start = h1 * np.ones((Nlay, Nrow, Ncol)) # start heads are h1 everywhere
##### FLOPY Build Initial Conditions framework ###
ic = flopy.mf6.ModflowGwfic(gwf, pname="ic", strt=start)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define hydraulic conductivity arrays
K = 3650.0
k = K * np.ones((Nlay, Nrow, Ncol)) # Hydraulic conductivity is K everywhere
# Use above to build layer-by-layer spatial varying K
# need to read: to deal with Kx!=Ky
##### FLOPY Build BCF framework ######
npf = flopy.mf6.ModflowGwfnpf(gwf, icelltype=1, k=k, save_flows=True)
# setting icelltype > 0 is unconfined
# https://flopy.readthedocs.io/en/3.3.5/source/flopy.mf6.modflow.mfgwfnpf.html?highlight=icelltype#flopy.mf6.modflow.mfgwfnpf.ModflowGwfnpf.icelltype
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define the storativity arrays
Sy = 0.25 # specific yield
Ss = 2.5e-4 # specific storage
sto = flopy.mf6.ModflowGwfsto(gwf, sy=Sy)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define constant head boundary conditions - these need to be supplied for each stress period
chd_rec = []
#h2 = 90 # Just a different value
#chd_rec.append(((0, 5, 5), h2))
# L,R,T,B constant head boundaries
for layer in range(0, Nlay):
for row in range(0, Nrow):
chd_rec.append(((layer, row, 0), h1)) #left column held at h1
chd_rec.append(((layer, row, Ncol-1), h1)) #right column held at h1
# for col in range(1,Ncol-1):
# chd_rec.append(((layer, 0, col), h1)) # top row held at h1
# chd_rec.append(((layer, Nrow-1 , col), h1)) # bottom row held at h1
stress_period_data = {0: chd_rec, 1: chd_rec, 2: chd_rec} # dictionary same BC each stress period
##### FLOPY Build CHD framework #####
chd = flopy.mf6.ModflowGwfchd(gwf,maxbound=len(chd_rec),stress_period_data=stress_period_data,save_flows=True,
)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define wellfields
#wel_rec = []
# wel_rec.append((0, 5, 5, -0e6)) # 0 Mm3/yr - use to examine recharge only
#wel_rec.append((0, 5, 5, -2114e6)) # 2,114 Mm3/yr
# Multiple Stress Periods
pumping_rate = -1000e6
wel_sp1 = [[0, 5, 5, 0.0]]
wel_sp2 = [[0, 5, 5, 1*pumping_rate]]
wel_sp3 = [[0, 5, 5, 2.115*pumping_rate]]
stress_period_data = {0: wel_sp1, 1: wel_sp2, 2: wel_sp3}
#wel = flopy.modflow.ModflowWel(mf, stress_period_data=stress_period_data)
##### FLOPY Build Wellfields framework #####
wel = flopy.mf6.ModflowGwfwel(gwf,maxbound=1,stress_period_data=stress_period_data,)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Define recharge
rech_val = 0.25 # rate as depth/year
rech_rec = rech_val * np.ones((1, Nrow, Ncol)) # set recharge top layer only
rec_sp1 = rech_rec
rec_sp2 = rech_rec
rec_sp3 = rech_rec
stress_period_data = {0: rec_sp1, 1: rec_sp2, 2: rec_sp3}
rch = flopy.mf6.ModflowGwfrcha(gwf, maxbound=len(rech_rec),recharge=stress_period_data,)
#rch = flopy.mf6.ModflowGwfrcha(gwf, recharge=rech_val) # default entry format
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# something to do with stress periods
iper = 0
ra = chd.stress_period_data.get_data(key=iper)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Create the output control (`OC`) Package
headfile = "{}.hds".format(name)
head_filerecord = [headfile]
budgetfile = "{}.cbb".format(name)
budget_filerecord = [budgetfile]
saverecord = [("HEAD", "ALL"), ("BUDGET", "ALL")]
printrecord = [("HEAD", "LAST")]
##### FLOPY Build OC framework
oc = flopy.mf6.ModflowGwfoc(
gwf,
saverecord=saverecord,
head_filerecord=head_filerecord,
budget_filerecord=budget_filerecord,
printrecord=printrecord,
)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# Write files to the directory
sim.write_simulation();
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
writing simulation...
writing simulation name file...
writing simulation tdis package...
writing ims package ims...
writing model example_3...
writing model name file...
writing package dis...
writing package ic...
writing package npf...
writing package sto...
writing package chd_0...
writing package wel_0...
writing package rcha_0...
writing package oc...
# Attempt to run MODFLOW this model
success, buff = sim.run_simulation(silent=True, report=True)
if not success:
raise Exception("MODFLOW 6 did not terminate normally.")
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# now attempt to postprocess
h = gwf.output.head().get_data(kstpkper=(0, 0))
print(h[0].max())
x = np.linspace(0, delrow*Ncol, Ncol)
y = np.linspace(0, delrow*Nrow, Nrow)
y = y[::-1]
vmin, vmax = -200., 100.0
contour_intervals = np.arange(-10., 1.0, 0.1)
# ### Plot a Map of Layer 1
fig = plt.figure(figsize=(9, 9))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
c = ax.contour(x, y, h[0], contour_intervals, colors="black")
plt.title("Obleo Aquifer Example 2 Head Map at Time = PreDevelopment ")
plt.xlabel("Easting (meters)")
plt.ylabel("Northing (meters)")
plt.clabel(c, fmt="%2.1f");
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
0.9213486227356542
# ### Use the FloPy `PlotMapView()` capabilities for MODFLOW 6
fig = plt.figure(figsize=(9, 9))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
ax.set_title("Obleo Aquifer Example 2 \n Head Map")
ax.set_xlabel("Easting (meters)")
ax.set_ylabel("Northing (meters)")
modelmap = flopy.plot.PlotMapView(model=gwf, ax=ax)
pa = modelmap.plot_array(h, vmin=-900, vmax=100)
quadmesh = modelmap.plot_bc("CHD")
linecollection = modelmap.plot_grid(lw=0.5, color="0.5")
contours = modelmap.contour_array(
h,
levels=contour_intervals,
colors="black",
)
ax.clabel(contours, fmt="%2.1f")
cb = plt.colorbar(pa, shrink=0.5, ax=ax)
cb.set_label(' Head (meters) ', rotation=90)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# now attempt to postprocess
h = gwf.output.head().get_data(kstpkper=(0, 1))
#print(h[0].min())
x = np.linspace(0, delrow*Ncol, Ncol)
y = np.linspace(0, delrow*Nrow, Nrow)
y = y[::-1]
vmin, vmax = -200., 100.0
contour_intervals = np.arange(-200., 1.0, 10)
# ### Plot a Map of Layer 1
fig = plt.figure(figsize=(9, 9))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
c = ax.contour(x, y, h[0], contour_intervals, colors="black")
plt.title("Obleo Aquifer Example 2 Head Map at Time = 30 years ")
plt.xlabel("Easting (meters)")
plt.ylabel("Northing (meters)")
plt.clabel(c, fmt="%2.1f");
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# ### Use the FloPy `PlotMapView()` capabilities for MODFLOW 6
fig = plt.figure(figsize=(9, 9))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
ax.set_title("Obleo Aquifer Example 2 \n Head Map at Time = 30 years ")
ax.set_xlabel("Easting (meters)")
ax.set_ylabel("Northing (meters)")
modelmap = flopy.plot.PlotMapView(model=gwf, ax=ax)
pa = modelmap.plot_array(h, vmin=-900, vmax=100)
quadmesh = modelmap.plot_bc("CHD")
linecollection = modelmap.plot_grid(lw=0.5, color="0.5")
contours = modelmap.contour_array(
h,
levels=contour_intervals,
colors="black",
)
ax.clabel(contours, fmt="%2.1f")
cb = plt.colorbar(pa, shrink=0.5, ax=ax)
cb.set_label(' Head (meters) ', rotation=90)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
# now attempt to postprocess
h = gwf.output.head().get_data(kstpkper=(0, 2))
print(h[0].max())
x = np.linspace(0, delrow*Ncol, Ncol)
y = np.linspace(0, delrow*Nrow, Nrow)
y = y[::-1]
vmin, vmax = -200., 100.0
contour_intervals = np.arange(-200., 1.0, 10)
# ### Plot a Map of Layer 1
fig = plt.figure(figsize=(9, 9))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
c = ax.contour(x, y, h[0], contour_intervals, colors="black")
plt.title("Obleo Aquifer Example 2 Head Map at Time = 60 years ")
plt.xlabel("Easting (meters)")
plt.ylabel("Northing (meters)")
plt.clabel(c, fmt="%2.1f");
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
0.0
# ### Use the FloPy `PlotMapView()` capabilities for MODFLOW 6
fig = plt.figure(figsize=(9, 9))
ax = fig.add_subplot(1, 1, 1, aspect="equal")
ax.set_title("Obleo Aquifer Example 2 \n Head Map at Time = 60 years ")
ax.set_xlabel("Easting (meters)")
ax.set_ylabel("Northing (meters)")
modelmap = flopy.plot.PlotMapView(model=gwf, ax=ax)
pa = modelmap.plot_array(h, vmin=-900, vmax=100)
quadmesh = modelmap.plot_bc("CHD")
linecollection = modelmap.plot_grid(lw=0.5, color="0.5")
contours = modelmap.contour_array(
h,
levels=contour_intervals,
colors="black",
)
ax.clabel(contours, fmt="%2.1f")
cb = plt.colorbar(pa, shrink=0.5, ax=ax)
cb.set_label(' Head (meters) ', rotation=90)
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)
Now for pretty mapping!
So this is the working model, so now we can assess effect of pumping and decide if we can increase the pumping any We already have this information contained in the output object.
print("Minimum allowed is -650.0 meters")
#print("Pumping at P-1 is:",wel_rec[0][3]/1e6," Mm^3/yr")
print("Minimum Head is:",round(h[0].min(),1)," meters")
if h[0].min() < -650.0:
print("Computed head is below allowed value - reduce pumpage and rerun simulation")
Minimum allowed is -650.0 meters
Minimum Head is: -552.3 meters
/opt/jupyterhub/lib/python3.8/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.
and should_run_async(code)