Seawater intrusion modeling with Flopy and Modflow Buy over a Tupac Cloud project – Tutorial
Finally, a complete alternative for the simulation of seawater intrusion on fully geospatial groundwater flow models of coastal aquifers based on open source software. The groundwater flow model was constructed on the Tupac Cloud platform with two stress periods and a total simulation time of 40 years.
The Tupac project is downloaded and run locally on Anaconda where the Buy package for variable density flow together with the transport model are implemented on a Flopy script. A graphical representation of the grid, boundary conditions and results from the flow and transport models are developed as well on the Jupyter notebook.
Reference tutorial:
hatarilabs.com/ih-en/tupac-cloud-t8-coastal-aquifer-simulation-with-wells-and-rivers-on-steady-and-transient-state
Tutorial
Input data
You can dowload the input data from this link.
Flopy code
#import required packages
import flopy
import numpy as np
import matplotlib.pyplot as plt
import osOpen MF6 and explore packages
#open mf6 simulation and change folder path
simName = 'modflow'
simWs = os.path.abspath('../Model')
exeName = os.path.abspath('../bin/mf6.exe')
sim = flopy.mf6.MFSimulation.load('modflow',exe_name=exeName, sim_ws=simWs)
buySimWs = os.path.abspath('../modelBuy')
sim.set_sim_path(buySimWs)#list sim packages
#sim.sim_package_list
#sim.write_simulation()#get groundwater flow model
gwf = sim.get_model()
#gwf#change folder of flow model
gwf.set_model_relative_path(os.path.abspath('../modelBuy'))# get model package list
gwf.get_package_list()Representation of model geometry
#open spatial discretization package
disv = gwf.get_package('DISV')
print(disv.top)
print(disv.botm)#plot aerial plot
fig, ax = plt.subplots(figsize=(14,6))
mapview = flopy.plot.PlotMapView(model=gwf)
linecollection = mapview.plot_grid(lw=0.3)#plot cross sections
line = np.array([[200000,8800000], [214000,8800000]])
fig, ax = plt.subplots(figsize=(14,6))
crossview = flopy.plot.PlotCrossSection(model=gwf, line={"line": line})
crossview.plot_grid()Review boundary conditions
#General head boundary - GHB
fig, ax = plt.subplots(figsize=(14,6))
mapview = flopy.plot.PlotMapView(model=gwf)
linecollection = mapview.plot_grid(lw=0.1)
mapview.plot_bc('GHB_0')#River - RIV
fig, ax = plt.subplots(figsize=(14,6))
mapview = flopy.plot.PlotMapView(model=gwf)
linecollection = mapview.plot_grid(lw=0.1)
mapview.plot_bc('RIV_0')fig, ax = plt.subplots(figsize=(14,6))
crossview = flopy.plot.PlotCrossSection(model=gwf, line={"line": line})
crossview.plot_grid()
crossview.plot_bc('RIV_0')#check output control
#gwf.get_package('OC')Create auxiliary variable and enable Buy package
#add auxiliary for ghb package
ghb = gwf.get_package('GHB')
ghbSpd = np.copy(ghb.stress_period_data.array)ghb.auxiliary = 'CONCENTRATION'ghb.auxiliaryghbList = ghbSpd[0].tolist()
ghbList = [item + (0,) for item in ghbList]
ghbList[:5]ghbSpdDict = {}
ghbSpdDict[0] = ghbList
ghbSpdDict[1] = ghbListgwf.remove_package('GHB_0')ghb = flopy.mf6.modflow.ModflowGwfghb(gwf,auxiliary='CONCENTRATION', stress_period_data=ghbSpdDict)#define buy package
buyModName = 'modelBuy'
Csalt = 35.
Cfresh = 0.
densesalt = 1025.
densefresh = 1000.
denseslp = (densesalt - densefresh) / (Csalt - Cfresh)
pd = [(0, denseslp, 0., buyModName, 'CONCENTRATION')]
buy = flopy.mf6.ModflowGwfbuy(gwf, denseref=1000., nrhospecies=1,packagedata=pd)Define transport model
#create transport package
gwt = flopy.mf6.ModflowGwt(sim, modelname=buyModName)#register solver for transport model
ims_gwt = flopy.mf6.ModflowIms(sim,linear_acceleration='BICGSTAB')
sim.register_ims_package(ims_gwt, [gwt.name])#define spatial discretization
gwtDisv = flopy.mf6.ModflowGwtdisv(gwt, nlay=disv.nlay.data,
ncpl=disv.ncpl.data,
nvert=disv.nvert.data,
top=disv.top.data,
botm=disv.botm.data,
vertices=disv.vertices.array.tolist(),
cell2d=disv.cell2d.array.tolist(),
)#define starting concentrations
strtConc = np.zeros((disv.nlay.data, disv.ncpl.data), dtype=np.float32)ghbList = ghb.stress_period_data.array[0].tolist()
ghbList[:5]for ghbItem in ghbList:
strtConc[:,ghbItem[0][1]] = 35
gwtIc = flopy.mf6.ModflowGwtic(gwt, strt=strtConc)fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(1, 1, 1, aspect = 'equal')
mapview = flopy.plot.PlotMapView(model=gwf,layer = 1)
plot_array = mapview.plot_array(strtConc,masked_values=[-1e+30], cmap=plt.cm.summer)
plt.colorbar(plot_array, shrink=0.75,orientation='horizontal', pad=0.08, aspect=50)#define advection
adv = flopy.mf6.ModflowGwtadv(gwt, scheme='UPSTREAM')#define dispersion
#dsp = flopy.mf6.ModflowGwtdsp(gwt,diffc=0.707,alh=5,alv=5,ath1=2)
dsp = flopy.mf6.ModflowGwtdsp(gwt,alh=10,ath1=10)#define mobile storage and transfer
porosity = 0.30
sto = flopy.mf6.ModflowGwtmst(gwt, porosity=porosity)#define sink and source package
sourcerecarray = ['GHB_0','AUX','CONCENTRATION']
ssm = flopy.mf6.ModflowGwtssm(gwt, sources=sourcerecarray)#define constant concentration package
cncSp = []
for row in ghb.stress_period_data.array[0]:
cncSp.append([row[0],35])
cncSpd = {0:cncSp,1:cncSp}
cnc = flopy.mf6.ModflowGwtcnc(gwt,stress_period_data=cncSpd)cnc.plot(mflay=0, lw=0.1, figsize=(12,12))#define output control
oc = flopy.mf6.ModflowGwtoc(gwt,
concentration_filerecord=buyModName+'.ucn',
saverecord=[('CONCENTRATION', 'ALL')])Define model exchange, write and run model
#define model flow and transport exchange
name = 'modelExchange'
gwfgwt = flopy.mf6.ModflowGwfgwt(sim, exgtype='GWF6-GWT6',
exgmnamea=gwf.name, exgmnameb=buyModName,
filename='{}.gwfgwt'.format(name))#write simulation and run simulation
sim.write_simulation()
#sim.run_simulation()#fix tupacModel.nam
sim.run_simulation()Explore the head results
#import heads
headObj = flopy.utils.HeadFile(os.path.join(buySimWs,'tupacModel.hds'))
tsList = headObj.get_kstpkper()
tsList### Review the flow model
fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(1, 1, 1, aspect = 'equal')
mapview = flopy.plot.PlotMapView(model=gwf,layer = 3)
ts = (0, 0)
tempHead = headObj.get_data(kstpkper=ts)
tempHead[tempHead==gwf.hdry] = np.nan
plot_array = mapview.plot_array(tempHead,masked_values=[-1e+30], cmap=plt.cm.Blues)
plt.colorbar(plot_array, shrink=0.75,orientation='horizontal', pad=0.08, aspect=50)Explore the concentration results
#import heads and concentrations
concObj = flopy.utils.HeadFile(os.path.join(buySimWs,buyModName+'.ucn'), text='CONCENTRATION')#define time series and stress period to plot
ts = (3, 1)
#get concentrations for the time step
tempConc = concObj.get_data(kstpkper=ts)### Review the flow model
fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(1, 1, 1, aspect = 'equal')
mapview = flopy.plot.PlotMapView(model=gwf,layer = 2)
plot_array = mapview.plot_array(tempConc,masked_values=[-1e+30], cmap=plt.cm.summer)
plt.colorbar(plot_array, shrink=0.75,orientation='horizontal', pad=0.08, aspect=50)### Zoom to intrusion
fig = plt.figure(figsize=(12, 12))
ax = fig.add_subplot(1, 1, 1, aspect = 'equal')
mapview = flopy.plot.PlotMapView(model=gwf,layer = 2)
plot_array = mapview.plot_array(tempConc,masked_values=[-1e+30], cmap=plt.cm.summer)
plt.colorbar(plot_array, shrink=0.75,orientation='horizontal', pad=0.08, aspect=50)
ax.set_xlim(200000,206000)
ax.set_ylim(8798000,8803000)#plot heads on line
tempHead = headObj.get_data(kstpkper=ts)
fig, ax = plt.subplots(figsize=(18,6))
line = np.array([[200000,8801800], [214000,8803000]])
crossview = flopy.plot.PlotCrossSection(model=gwf, line={"line": line})
crossview.plot_grid(alpha=0.25)
strtArray = crossview.plot_array(tempHead, masked_values=[1e30])
wtElev = []
for col in range(tempHead.shape[2]):
colArray = tempHead[:,0,col]
wtElev.append(colArray[colArray != 1e30][0])
wt = crossview.plot_surface(tempHead, color="blue", lw=2)
#wtLine = plt.plot(gwf.modelgrid.xycenters[0],wtElev,c='crimson')
cb = plt.colorbar(strtArray, shrink=0.5)#plot concentrations on row 5
fig, ax = plt.subplots(figsize=(18,6))
crossview = flopy.plot.PlotCrossSection(model=gwf, line={"line": line})
crossview.plot_grid(alpha=0.25)
strtArray = crossview.plot_array(tempConc, masked_values=[1e30], cmap=plt.cm.summer)
cb = plt.colorbar(strtArray, shrink=0.5)#plot concentrations on line - zoom
fig, ax = plt.subplots(figsize=(18,6))
crossview = flopy.plot.PlotCrossSection(model=gwf, line={"line": line})
crossview.plot_grid(alpha=0.25)
strtArray = crossview.plot_array(tempConc, masked_values=[1e30], cmap=plt.cm.summer)
cb = plt.colorbar(strtArray, shrink=0.5)
ax.set_xlim(0,1500)—————
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