def run():
# run installed version of flopy or add local path
try:
import flopy
except:
fpth = os.path.abspath(os.path.join('..', '..'))
sys.path.append(fpth)
import flopy
# Set name of MODFLOW exe
# assumes executable is in users path statement
version = 'mf2005'
exe_name = 'mf2005'
exe_mp = 'mp6'
if platform.system() == 'Windows':
exe_name += '.exe'
exe_mp += '.exe'
mfexe = exe_name
# Set the paths
loadpth = os.path.join('..', 'data', 'freyberg')
modelpth = os.path.join('data')
# make sure modelpth directory exists
if not os.path.exists(modelpth):
os.makedirs(modelpth)
ml = flopy.modflow.Modflow.load('freyberg.nam', model_ws=loadpth,
exe_name=exe_name, version=version)
ml.change_model_ws(new_pth=modelpth)
ml.write_input()
success, buff = ml.run_model()
if not success:
print('Something bad happened.')
files = ['freyberg.hds', 'freyberg.cbc']
for f in files:
if os.path.isfile(os.path.join(modelpth, f)):
msg = 'Output file located: {}'.format(f)
print(msg)
else:
errmsg = 'Error. Output file cannot be found: {}'.format(f)
print(errmsg)
mp = flopy.modpath.Modpath('freybergmp', exe_name=exe_mp, modflowmodel=ml, model_ws=modelpth)
mpbas = flopy.modpath.ModpathBas(mp, hnoflo=ml.bas6.hnoflo, hdry=ml.lpf.hdry,
ibound=ml.bas6.ibound.array, prsity=0.2, prsityCB=0.2)
sim = mp.create_mpsim(trackdir='forward', simtype='endpoint', packages='RCH')
mp.write_input()
mp.run_model()
mpp = flopy.modpath.Modpath('freybergmpp', exe_name=exe_mp, modflowmodel=ml, model_ws=modelpth)
mpbas = flopy.modpath.ModpathBas(mpp, hnoflo=ml.bas6.hnoflo, hdry=ml.lpf.hdry,
ibound=ml.bas6.ibound.array, prsity=0.2, prsityCB=0.2)
sim = mpp.create_mpsim(trackdir='backward', simtype='pathline', packages='WEL')
mpp.write_input()
mpp.run_model()
## load and run second example
# run installed version of flopy or add local path
try:
import flopy
except:
fpth = os.path.abspath(os.path.join('..', '..'))
sys.path.append(fpth)
import flopy
print(sys.version)
print('numpy version: {}'.format(np.__version__))
print('matplotlib version: {}'.format(mpl.__version__))
print('flopy version: {}'.format(flopy.__version__))
if not os.path.exists("data"):
os.mkdir("data")
from flopy.utils.gridgen import Gridgen
Lx = 10000.
Ly = 10500.
nlay = 3
nrow = 21
ncol = 20
delr = Lx / ncol
delc = Ly / nrow
top = 400
botm = [220, 200, 0]
ms = flopy.modflow.Modflow()
dis5 = flopy.modflow.ModflowDis(ms, nlay=nlay, nrow=nrow, ncol=ncol, delr=delr,
delc=delc, top=top, botm=botm)
model_name = 'mp7p2'
model_ws = os.path.join('data', 'mp7_ex2', 'mf6')
gridgen_ws = os.path.join(model_ws, 'gridgen')
g = Gridgen(dis5, model_ws=gridgen_ws)
rf0shp = os.path.join(gridgen_ws, 'rf0')
xmin = 7 * delr
xmax = 12 * delr
ymin = 8 * delc
ymax = 13 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax), (xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
rf1shp = os.path.join(gridgen_ws, 'rf1')
xmin = 8 * delr
xmax = 11 * delr
ymin = 9 * delc
ymax = 12 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax), (xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
rf2shp = os.path.join(gridgen_ws, 'rf2')
xmin = 9 * delr
xmax = 10 * delr
ymin = 10 * delc
ymax = 11 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax), (xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
g.build(verbose=False)
gridprops = g.get_gridprops_disv()
ncpl = gridprops['ncpl']
top = gridprops['top']
botm = gridprops['botm']
nvert = gridprops['nvert']
vertices = gridprops['vertices']
cell2d = gridprops['cell2d']
# cellxy = gridprops['cellxy']
# create simulation
sim = flopy.mf6.MFSimulation(sim_name=model_name, version='mf6', exe_name='mf6',
sim_ws=model_ws)
# create tdis package
tdis_rc = [(1000.0, 1, 1.0)]
tdis = flopy.mf6.ModflowTdis(sim, pname='tdis', time_units='DAYS',
perioddata=tdis_rc)
# create gwf model
gwf = flopy.mf6.ModflowGwf(sim, modelname=model_name,
model_nam_file='{}.nam'.format(model_name))
gwf.name_file.save_flows = True
# create iterative model solution and register the gwf model with it
ims = flopy.mf6.ModflowIms(sim, pname='ims', print_option='SUMMARY',
complexity='SIMPLE', outer_hclose=1.e-5,
outer_maximum=100, under_relaxation='NONE',
inner_maximum=100, inner_hclose=1.e-6,
rcloserecord=0.1, linear_acceleration='BICGSTAB',
scaling_method='NONE', reordering_method='NONE',
relaxation_factor=0.99)
sim.register_ims_package(ims, [gwf.name])
# disv
disv = flopy.mf6.ModflowGwfdisv(gwf, nlay=nlay, ncpl=ncpl,
top=top, botm=botm,
nvert=nvert, vertices=vertices,
cell2d=cell2d)
# initial conditions
ic = flopy.mf6.ModflowGwfic(gwf, pname='ic', strt=320.)
# node property flow
npf = flopy.mf6.ModflowGwfnpf(gwf, xt3doptions=[('xt3d')],
icelltype=[1, 0, 0],
k=[50.0, 0.01, 200.0],
k33=[10., 0.01, 20.])
# wel
wellpoints = [(4750., 5250.)]
welcells = g.intersect(wellpoints, 'point', 0)
# welspd = flopy.mf6.ModflowGwfwel.stress_period_data.empty(gwf, maxbound=1, aux_vars=['iface'])
welspd = [[(2, icpl), -150000, 0] for icpl in welcells['nodenumber']]
wel = flopy.mf6.ModflowGwfwel(gwf, print_input=True,
auxiliary=[('iface',)],
stress_period_data=welspd)
# rch
aux = [np.ones(ncpl, dtype=np.int) * 6]
rch = flopy.mf6.ModflowGwfrcha(gwf, recharge=0.005,
auxiliary=[('iface',)],
aux={0: [6]})
# riv
riverline = [[[(Lx - 1., Ly), (Lx - 1., 0.)]]]
rivcells = g.intersect(riverline, 'line', 0)
rivspd = [[(0, icpl), 320., 100000., 318] for icpl in rivcells['nodenumber']]
riv = flopy.mf6.ModflowGwfriv(gwf, stress_period_data=rivspd)
# output control
oc = flopy.mf6.ModflowGwfoc(gwf, pname='oc', budget_filerecord='{}.cbb'.format(model_name),
head_filerecord='{}.hds'.format(model_name),
headprintrecord=[('COLUMNS', 10, 'WIDTH', 15,
'DIGITS', 6, 'GENERAL')],
saverecord=[('HEAD', 'ALL'), ('BUDGET', 'ALL')],
printrecord=[('HEAD', 'ALL'), ('BUDGET', 'ALL')])
sim.write_simulation()
sim.run_simulation()
mp_namea = model_name + 'a_mp'
mp_nameb = model_name + 'b_mp'
pcoord = np.array([[0.000, 0.125, 0.500],
[0.000, 0.375, 0.500],
[0.000, 0.625, 0.500],
[0.000, 0.875, 0.500],
[1.000, 0.125, 0.500],
[1.000, 0.375, 0.500],
[1.000, 0.625, 0.500],
[1.000, 0.875, 0.500],
[0.125, 0.000, 0.500],
[0.375, 0.000, 0.500],
[0.625, 0.000, 0.500],
[0.875, 0.000, 0.500],
[0.125, 1.000, 0.500],
[0.375, 1.000, 0.500],
[0.625, 1.000, 0.500],
[0.875, 1.000, 0.500]])
nodew = gwf.disv.ncpl.array * 2 + welcells['nodenumber'][0]
plocs = [nodew for i in range(pcoord.shape[0])]
# create particle data
pa = flopy.modpath.ParticleData(plocs, structured=False,
localx=pcoord[:, 0],
localy=pcoord[:, 1],
localz=pcoord[:, 2],
drape=0)
# create backward particle group
fpth = mp_namea + '.sloc'
pga = flopy.modpath.ParticleGroup(particlegroupname='BACKWARD1', particledata=pa,
filename=fpth)
facedata = flopy.modpath.FaceDataType(drape=0,
verticaldivisions1=10, horizontaldivisions1=10,
verticaldivisions2=10, horizontaldivisions2=10,
verticaldivisions3=10, horizontaldivisions3=10,
verticaldivisions4=10, horizontaldivisions4=10,
rowdivisions5=0, columndivisions5=0,
rowdivisions6=4, columndivisions6=4)
pb = flopy.modpath.NodeParticleData(subdivisiondata=facedata, nodes=nodew)
# create forward particle group
fpth = mp_nameb + '.sloc'
pgb = flopy.modpath.ParticleGroupNodeTemplate(particlegroupname='BACKWARD2',
particledata=pb,
filename=fpth)
# create modpath files
mp = flopy.modpath.Modpath7(modelname=mp_namea, flowmodel=gwf,
exe_name='mp7', model_ws=model_ws)
flopy.modpath.Modpath7Bas(mp, porosity=0.1)
flopy.modpath.Modpath7Sim(mp, simulationtype='combined',
trackingdirection='backward',
weaksinkoption='pass_through',
weaksourceoption='pass_through',
referencetime=0.,
stoptimeoption='extend',
timepointdata=[500, 1000.],
particlegroups=pga)
# write modpath datasets
mp.write_input()
# run modpath
mp.run_model()
# create modpath files
mp = flopy.modpath.Modpath7(modelname=mp_nameb, flowmodel=gwf,
exe_name='mp7', model_ws=model_ws)
flopy.modpath.Modpath7Bas(mp, porosity=0.1)
flopy.modpath.Modpath7Sim(mp, simulationtype='endpoint',
trackingdirection='backward',
weaksinkoption='pass_through',
weaksourceoption='pass_through',
referencetime=0.,
stoptimeoption='extend',
particlegroups=pgb)
# write modpath datasets
mp.write_input()
# run modpath
mp.run_model()
return
def test_gridgen():
# define the base grid and then create a couple levels of nested
# refinement
Lx = 10000.
Ly = 10500.
nlay = 3
nrow = 21
ncol = 20
delr = Lx / ncol
delc = Ly / nrow
top = 400
botm = [220, 200, np.random.random((nrow, ncol))]
# create a dummy dis package for gridgen
ms = flopy.modflow.Modflow()
dis5 = flopy.modflow.ModflowDis(ms,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm)
sim = flopy.mf6.MFSimulation()
gwf = gwf = flopy.mf6.ModflowGwf(sim)
dis6 = flopy.mf6.ModflowGwfdis(gwf,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm)
ms_u = flopy.modflow.Modflow(modelname='mymfusgmodel',
model_ws=cpth,
version='mfusg')
dis_usg = flopy.modflow.ModflowDis(ms_u,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm)
gridgen_ws = cpth
g = Gridgen(dis5, model_ws=gridgen_ws, exe_name=exe_name)
g6 = Gridgen(dis6, model_ws=gridgen_ws, exe_name=exe_name)
gu = Gridgen(dis_usg,
model_ws=gridgen_ws,
exe_name=exe_name,
vertical_pass_through=True)
if shapefile is None:
return # skip remainder
rf0shp = os.path.join(gridgen_ws, 'rf0')
xmin = 7 * delr
xmax = 12 * delr
ymin = 8 * delc
ymax = 13 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
g6.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
gu.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
rf1shp = os.path.join(gridgen_ws, 'rf1')
xmin = 8 * delr
xmax = 11 * delr
ymin = 9 * delc
ymax = 12 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
g6.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
gu.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
rf2shp = os.path.join(gridgen_ws, 'rf2')
xmin = 9 * delr
xmax = 10 * delr
ymin = 10 * delc
ymax = 11 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
g6.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
gu.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
# inactivate parts of mfusg layer 2 to test vertical-pass-through option
xmin = 0 * delr
xmax = 18 * delr
ymin = 0 * delc
ymax = 18 * delc
adpoly2 = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
gu.add_active_domain(adpoly2, layers=[1])
adpoly1_3 = [[[(0., 0.), (Lx, 0.), (Lx, Ly), (0., Ly), (0., 0.)]]]
gu.add_active_domain(adpoly1_3, layers=[0, 2])
# if gridgen executable is available then do the main part of the test
if run:
# Use gridgen to build the grid
g.build()
g6.build()
# test the different gridprops dictionaries, which contain all the
# information needed to make the different discretization packages
gridprops = g.get_gridprops_disv()
gridprops = g.get_gridprops_disu5()
gridprops = g.get_gridprops_disu6()
# test the gridgen point intersection
points = [(4750., 5250.)]
cells = g.intersect(points, 'point', 0)
n = cells['nodenumber'][0]
msg = ('gridgen point intersect did not identify the correct '
'cell {} <> {}'.format(n, 308))
assert n == 308, msg
# test the gridgen line intersection
line = [[[(Lx, Ly), (Lx, 0.)]]]
cells = g.intersect(line, 'line', 0)
nlist = [n for n in cells['nodenumber']]
nlist2 = [
19, 650, 39, 630, 59, 610, 79, 590, 99, 570, 119, 550, 139, 530,
159, 510, 194, 490, 265, 455, 384
]
msg = ('gridgen line intersect did not identify the correct '
'cells {} <> {}'.format(nlist, nlist2))
assert nlist == nlist2, msg
# test getting a modflow-usg disu package
mu = flopy.modflow.Modflow(version='mfusg', structured=False)
disu = g.get_disu(mu)
# test mfusg with vertical pass-through (True above at instantiation)
gu.build()
disu_vp = gu.get_disu(ms_u)
# -check that node 1 (layer 1) is connected to layer 3 but not layer 2:
ja0 = disu_vp.ja[:disu_vp.iac[0]]
msg = ("MFUSG node 1 (layer 1) is not connected to layer 3 but should "
"be (with vertical pass through activated).")
assert max(ja0) > sum(disu_vp.nodelay[:2]), msg
# -check that node 1 (layer 1) is not connected to any layer 2 nodes
msg = ("MFUSG node 1 (layer 1) is connected to layer 2 but should not "
"be (with vertical pass through activated).")
assert len(ja0[(ja0 > disu_vp.nodelay[0]) & \
(ja0 <= sum(disu_vp.nodelay[:2]))]
) == 0, msg
#ms_u.disu.write_file()
# test mfusg without vertical pass-through
gu.vertical_pass_through = False
gu.build()
disu_vp = gu.get_disu(ms_u)
# -check that node 1 (layer 1) is connected to layer 1 only:
ja0 = disu_vp.ja[:disu_vp.iac[0]]
msg = ("MFUSG node 1 (layer 1) is connected to layer 2 or 3 but "
"should not be (without vertical pass through activated).")
assert max(ja0) <= disu_vp.nodelay[0], msg
return
def test_mf6disv():
if gridgen_exe is None:
print(
"Unable to run test_mf6disv(). Gridgen executable not available.")
return
if Polygon is None:
print("Unable to run test_mf6disv(). shapely is not available.")
return
name = "dummy"
nlay = 3
nrow = 10
ncol = 10
delr = delc = 1.0
top = 1
bot = 0
dz = (top - bot) / nlay
botm = [top - k * dz for k in range(1, nlay + 1)]
# Create a dummy model and regular grid to use as the base grid for gridgen
sim = flopy.mf6.MFSimulation(sim_name=name,
sim_ws=gridgen_ws,
exe_name="mf6")
gwf = flopy.mf6.ModflowGwf(sim, modelname=name)
dis = flopy.mf6.ModflowGwfdis(
gwf,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm,
)
# Create and build the gridgen model with a refined area in the middle
g = Gridgen(dis, model_ws=gridgen_ws)
polys = [Polygon([(4, 4), (6, 4), (6, 6), (4, 6)])]
g.add_refinement_features(polys, "polygon", 3, range(nlay))
g.build()
disv_gridprops = g.get_gridprops_disv()
# find the cell numbers for constant heads
chdspd = []
ilay = 0
for x, y, head in [(0, 10, 1.0), (10, 0, 0.0)]:
ra = g.intersect([(x, y)], "point", ilay)
ic = ra["nodenumber"][0]
chdspd.append([(ilay, ic), head])
# build run and post-process the MODFLOW 6 model
ws = os.path.join(tpth, "gridgen_disv")
name = "mymodel"
sim = flopy.mf6.MFSimulation(
sim_name=name,
sim_ws=ws,
exe_name="mf6",
verbosity_level=VERBOSITY_LEVEL,
)
tdis = flopy.mf6.ModflowTdis(sim)
ims = flopy.mf6.ModflowIms(sim, linear_acceleration="bicgstab")
gwf = flopy.mf6.ModflowGwf(sim, modelname=name, save_flows=True)
disv = flopy.mf6.ModflowGwfdisv(gwf, **disv_gridprops)
ic = flopy.mf6.ModflowGwfic(gwf)
npf = flopy.mf6.ModflowGwfnpf(gwf,
xt3doptions=True,
save_specific_discharge=True)
chd = flopy.mf6.ModflowGwfchd(gwf, stress_period_data=chdspd)
budget_file = name + ".bud"
head_file = name + ".hds"
oc = flopy.mf6.ModflowGwfoc(
gwf,
budget_filerecord=budget_file,
head_filerecord=head_file,
saverecord=[("HEAD", "ALL"), ("BUDGET", "ALL")],
)
sim.write_simulation()
gwf.modelgrid.set_coord_info(angrot=15)
# write grid and model shapefiles
fname = os.path.join(ws, "grid.shp")
gwf.modelgrid.write_shapefile(fname)
fname = os.path.join(ws, "model.shp")
gwf.export(fname)
if mf6_exe is not None:
sim.run_simulation(silent=True)
head = flopy.utils.HeadFile(os.path.join(ws, head_file)).get_data()
bud = flopy.utils.CellBudgetFile(os.path.join(ws, budget_file),
precision="double")
spdis = bud.get_data(text="DATA-SPDIS")[0]
if matplotlib is not None:
f = plt.figure(figsize=(10, 10))
vmin = head.min()
vmax = head.max()
for ilay in range(gwf.modelgrid.nlay):
ax = plt.subplot(1, gwf.modelgrid.nlay, ilay + 1)
pmv = flopy.plot.PlotMapView(gwf, layer=ilay, ax=ax)
ax.set_aspect("equal")
pmv.plot_array(head.flatten(),
cmap="jet",
vmin=vmin,
vmax=vmax)
pmv.plot_grid(colors="k", alpha=0.1)
pmv.contour_array(
head,
levels=[0.2, 0.4, 0.6, 0.8],
linewidths=3.0,
vmin=vmin,
vmax=vmax,
)
ax.set_title("Layer {}".format(ilay + 1))
pmv.plot_specific_discharge(spdis, color="white")
fname = "results.png"
fname = os.path.join(ws, fname)
plt.savefig(fname)
plt.close("all")
return
def run():
# run installed version of flopy or add local path
try:
import flopy
except:
fpth = os.path.abspath(os.path.join('..', '..'))
sys.path.append(fpth)
import flopy
# Set name of MODFLOW exe
# assumes executable is in users path statement
version = 'mf2005'
exe_name = 'mf2005'
exe_mp = 'mp6'
if platform.system() == 'Windows':
exe_name += '.exe'
exe_mp += '.exe'
mfexe = exe_name
# Set the paths
loadpth = os.path.join('..', 'data', 'freyberg')
modelpth = os.path.join('data')
# make sure modelpth directory exists
if not os.path.exists(modelpth):
os.makedirs(modelpth)
ml = flopy.modflow.Modflow.load('freyberg.nam',
model_ws=loadpth,
exe_name=exe_name,
version=version)
ml.change_model_ws(new_pth=modelpth)
ml.write_input()
success, buff = ml.run_model()
if not success:
print('Something bad happened.')
files = ['freyberg.hds', 'freyberg.cbc']
for f in files:
if os.path.isfile(os.path.join(modelpth, f)):
msg = 'Output file located: {}'.format(f)
print(msg)
else:
errmsg = 'Error. Output file cannot be found: {}'.format(f)
print(errmsg)
mp = flopy.modpath.Modpath('freybergmp',
exe_name=exe_mp,
modflowmodel=ml,
model_ws=modelpth)
mpbas = flopy.modpath.ModpathBas(mp,
hnoflo=ml.bas6.hnoflo,
hdry=ml.lpf.hdry,
ibound=ml.bas6.ibound.array,
prsity=0.2,
prsityCB=0.2)
sim = mp.create_mpsim(trackdir='forward',
simtype='endpoint',
packages='RCH')
mp.write_input()
mp.run_model()
mpp = flopy.modpath.Modpath('freybergmpp',
exe_name=exe_mp,
modflowmodel=ml,
model_ws=modelpth)
mpbas = flopy.modpath.ModpathBas(mpp,
hnoflo=ml.bas6.hnoflo,
hdry=ml.lpf.hdry,
ibound=ml.bas6.ibound.array,
prsity=0.2,
prsityCB=0.2)
sim = mpp.create_mpsim(trackdir='backward',
simtype='pathline',
packages='WEL')
mpp.write_input()
mpp.run_model()
## load and run second example
# run installed version of flopy or add local path
try:
import flopy
except:
fpth = os.path.abspath(os.path.join('..', '..'))
sys.path.append(fpth)
import flopy
print(sys.version)
print('numpy version: {}'.format(np.__version__))
print('matplotlib version: {}'.format(mpl.__version__))
print('flopy version: {}'.format(flopy.__version__))
if not os.path.exists("data"):
os.mkdir("data")
from flopy.utils.gridgen import Gridgen
Lx = 10000.
Ly = 10500.
nlay = 3
nrow = 21
ncol = 20
delr = Lx / ncol
delc = Ly / nrow
top = 400
botm = [220, 200, 0]
ms = flopy.modflow.Modflow()
dis5 = flopy.modflow.ModflowDis(ms,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm)
model_name = 'mp7p2'
model_ws = os.path.join('data', 'mp7_ex2', 'mf6')
gridgen_ws = os.path.join(model_ws, 'gridgen')
g = Gridgen(dis5, model_ws=gridgen_ws)
rf0shp = os.path.join(gridgen_ws, 'rf0')
xmin = 7 * delr
xmax = 12 * delr
ymin = 8 * delc
ymax = 13 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
rf1shp = os.path.join(gridgen_ws, 'rf1')
xmin = 8 * delr
xmax = 11 * delr
ymin = 9 * delc
ymax = 12 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
rf2shp = os.path.join(gridgen_ws, 'rf2')
xmin = 9 * delr
xmax = 10 * delr
ymin = 10 * delc
ymax = 11 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
g.build(verbose=False)
gridprops = g.get_gridprops_disv()
ncpl = gridprops['ncpl']
top = gridprops['top']
botm = gridprops['botm']
nvert = gridprops['nvert']
vertices = gridprops['vertices']
cell2d = gridprops['cell2d']
# cellxy = gridprops['cellxy']
# create simulation
sim = flopy.mf6.MFSimulation(sim_name=model_name,
version='mf6',
exe_name='mf6',
sim_ws=model_ws)
# create tdis package
tdis_rc = [(1000.0, 1, 1.0)]
tdis = flopy.mf6.ModflowTdis(sim,
pname='tdis',
time_units='DAYS',
perioddata=tdis_rc)
# create gwf model
gwf = flopy.mf6.ModflowGwf(sim,
modelname=model_name,
model_nam_file='{}.nam'.format(model_name))
gwf.name_file.save_flows = True
# create iterative model solution and register the gwf model with it
ims = flopy.mf6.ModflowIms(sim,
pname='ims',
print_option='SUMMARY',
complexity='SIMPLE',
outer_hclose=1.e-5,
outer_maximum=100,
under_relaxation='NONE',
inner_maximum=100,
inner_hclose=1.e-6,
rcloserecord=0.1,
linear_acceleration='BICGSTAB',
scaling_method='NONE',
reordering_method='NONE',
relaxation_factor=0.99)
sim.register_ims_package(ims, [gwf.name])
# disv
disv = flopy.mf6.ModflowGwfdisv(gwf,
nlay=nlay,
ncpl=ncpl,
top=top,
botm=botm,
nvert=nvert,
vertices=vertices,
cell2d=cell2d)
# initial conditions
ic = flopy.mf6.ModflowGwfic(gwf, pname='ic', strt=320.)
# node property flow
npf = flopy.mf6.ModflowGwfnpf(gwf,
xt3doptions=[('xt3d')],
icelltype=[1, 0, 0],
k=[50.0, 0.01, 200.0],
k33=[10., 0.01, 20.])
# wel
wellpoints = [(4750., 5250.)]
welcells = g.intersect(wellpoints, 'point', 0)
# welspd = flopy.mf6.ModflowGwfwel.stress_period_data.empty(gwf, maxbound=1, aux_vars=['iface'])
welspd = [[(2, icpl), -150000, 0] for icpl in welcells['nodenumber']]
wel = flopy.mf6.ModflowGwfwel(gwf,
print_input=True,
auxiliary=[('iface', )],
stress_period_data=welspd)
# rch
aux = [np.ones(ncpl, dtype=np.int) * 6]
rch = flopy.mf6.ModflowGwfrcha(gwf,
recharge=0.005,
auxiliary=[('iface', )],
aux={0: [6]})
# riv
riverline = [[[(Lx - 1., Ly), (Lx - 1., 0.)]]]
rivcells = g.intersect(riverline, 'line', 0)
rivspd = [[(0, icpl), 320., 100000., 318]
for icpl in rivcells['nodenumber']]
riv = flopy.mf6.ModflowGwfriv(gwf, stress_period_data=rivspd)
# output control
oc = flopy.mf6.ModflowGwfoc(gwf,
pname='oc',
budget_filerecord='{}.cbb'.format(model_name),
head_filerecord='{}.hds'.format(model_name),
headprintrecord=[('COLUMNS', 10, 'WIDTH', 15,
'DIGITS', 6, 'GENERAL')],
saverecord=[('HEAD', 'ALL'),
('BUDGET', 'ALL')],
printrecord=[('HEAD', 'ALL'),
('BUDGET', 'ALL')])
sim.write_simulation()
sim.run_simulation()
mp_namea = model_name + 'a_mp'
mp_nameb = model_name + 'b_mp'
pcoord = np.array([[0.000, 0.125, 0.500], [0.000, 0.375, 0.500],
[0.000, 0.625, 0.500], [0.000, 0.875, 0.500],
[1.000, 0.125, 0.500], [1.000, 0.375, 0.500],
[1.000, 0.625, 0.500], [1.000, 0.875, 0.500],
[0.125, 0.000, 0.500], [0.375, 0.000, 0.500],
[0.625, 0.000, 0.500], [0.875, 0.000, 0.500],
[0.125, 1.000, 0.500], [0.375, 1.000, 0.500],
[0.625, 1.000, 0.500], [0.875, 1.000, 0.500]])
nodew = gwf.disv.ncpl.array * 2 + welcells['nodenumber'][0]
plocs = [nodew for i in range(pcoord.shape[0])]
# create particle data
pa = flopy.modpath.ParticleData(plocs,
structured=False,
localx=pcoord[:, 0],
localy=pcoord[:, 1],
localz=pcoord[:, 2],
drape=0)
# create backward particle group
fpth = mp_namea + '.sloc'
pga = flopy.modpath.ParticleGroup(particlegroupname='BACKWARD1',
particledata=pa,
filename=fpth)
facedata = flopy.modpath.FaceDataType(drape=0,
verticaldivisions1=10,
horizontaldivisions1=10,
verticaldivisions2=10,
horizontaldivisions2=10,
verticaldivisions3=10,
horizontaldivisions3=10,
verticaldivisions4=10,
horizontaldivisions4=10,
rowdivisions5=0,
columndivisions5=0,
rowdivisions6=4,
columndivisions6=4)
pb = flopy.modpath.NodeParticleData(subdivisiondata=facedata, nodes=nodew)
# create forward particle group
fpth = mp_nameb + '.sloc'
pgb = flopy.modpath.ParticleGroupNodeTemplate(
particlegroupname='BACKWARD2', particledata=pb, filename=fpth)
# create modpath files
mp = flopy.modpath.Modpath7(modelname=mp_namea,
flowmodel=gwf,
exe_name='mp7',
model_ws=model_ws)
flopy.modpath.Modpath7Bas(mp, porosity=0.1)
flopy.modpath.Modpath7Sim(mp,
simulationtype='combined',
trackingdirection='backward',
weaksinkoption='pass_through',
weaksourceoption='pass_through',
referencetime=0.,
stoptimeoption='extend',
timepointdata=[500, 1000.],
particlegroups=pga)
# write modpath datasets
mp.write_input()
# run modpath
mp.run_model()
# create modpath files
mp = flopy.modpath.Modpath7(modelname=mp_nameb,
flowmodel=gwf,
exe_name='mp7',
model_ws=model_ws)
flopy.modpath.Modpath7Bas(mp, porosity=0.1)
flopy.modpath.Modpath7Sim(mp,
simulationtype='endpoint',
trackingdirection='backward',
weaksinkoption='pass_through',
weaksourceoption='pass_through',
referencetime=0.,
stoptimeoption='extend',
particlegroups=pgb)
# write modpath datasets
mp.write_input()
# run modpath
mp.run_model()
return
def test_mf6disu():
name = 'dummy'
nlay = 3
nrow = 10
ncol = 10
delr = delc = 1.
top = 1
bot = 0
dz = (top - bot) / nlay
botm = [top - k * dz for k in range(1, nlay + 1)]
# Create a dummy model and regular grid to use as the base grid for gridgen
sim = flopy.mf6.MFSimulation(sim_name=name, sim_ws=gridgen_ws,
exe_name='mf6')
gwf = flopy.mf6.ModflowGwf(sim, modelname=name)
dis = flopy.mf6.ModflowGwfdis(gwf, nlay=nlay, nrow=nrow, ncol=ncol,
delr=delr, delc=delc,
top=top, botm=botm)
# Create and build the gridgen model with a refined area in the middle
g = Gridgen(dis, model_ws=gridgen_ws)
polys = [Polygon([(4, 4), (6, 4), (6, 6), (4, 6)])]
g.add_refinement_features(polys, 'polygon', 3, layers=[0])
g.build()
disu_gridprops = g.get_gridprops_disu6()
chdspd = []
for x, y, head in [(0, 10, 1.), (10, 0, 0.)]:
ra = g.intersect([(x, y)], 'point', 0)
ic = ra['nodenumber'][0]
chdspd.append([(ic,), head])
# build run and post-process the MODFLOW 6 model
ws = os.path.join(tpth, 'gridgen_disu')
name = 'mymodel'
sim = flopy.mf6.MFSimulation(sim_name=name, sim_ws=ws, exe_name='mf6',
verbosity_level=VERBOSITY_LEVEL)
tdis = flopy.mf6.ModflowTdis(sim)
ims = flopy.mf6.ModflowIms(sim, linear_acceleration='bicgstab')
gwf = flopy.mf6.ModflowGwf(sim, modelname=name, save_flows=True)
disu = flopy.mf6.ModflowGwfdisu(gwf, **disu_gridprops)
ic = flopy.mf6.ModflowGwfic(gwf)
npf = flopy.mf6.ModflowGwfnpf(gwf, xt3doptions=True,
save_specific_discharge=True)
chd = flopy.mf6.ModflowGwfchd(gwf, stress_period_data=chdspd)
budget_file = name + '.bud'
head_file = name + '.hds'
oc = flopy.mf6.ModflowGwfoc(gwf,
budget_filerecord=budget_file,
head_filerecord=head_file,
saverecord=[('HEAD', 'ALL'), ('BUDGET', 'ALL')])
sim.write_simulation()
gwf.modelgrid.set_coord_info(angrot=15)
# The flopy Gridgen object includes the plottable layer number to the
# diagonal position in the ihc array. This is why and how modelgrid.nlay
# is set to 3 and ncpl has a different number of cells per layer.
assert gwf.modelgrid.nlay == 3
assert np.allclose(gwf.modelgrid.ncpl, np.array([436, 184, 112]))
# write grid and model shapefiles
fname = os.path.join(ws, 'grid.shp')
gwf.modelgrid.write_shapefile(fname)
fname = os.path.join(ws, 'model.shp')
gwf.export(fname)
if mf6_exe is not None:
sim.run_simulation(silent=True)
head = flopy.utils.HeadFile(os.path.join(ws, head_file)).get_data()
bud = flopy.utils.CellBudgetFile(os.path.join(ws, budget_file),
precision='double')
spdis = bud.get_data(text='DATA-SPDIS')[0]
if matplotlib is not None:
f = plt.figure(figsize=(10, 10))
vmin = head.min()
vmax = head.max()
for ilay in range(gwf.modelgrid.nlay):
ax = plt.subplot(1, gwf.modelgrid.nlay, ilay + 1)
pmv = flopy.plot.PlotMapView(gwf, layer=ilay, ax=ax)
ax.set_aspect('equal')
pmv.plot_array(head.flatten(), cmap='jet', vmin=vmin,
vmax=vmax)
pmv.plot_grid(colors='k', alpha=0.1)
pmv.contour_array(head, levels=[.2, .4, .6, .8], linewidths=3.,
vmin=vmin, vmax=vmax)
ax.set_title("Layer {}".format(ilay + 1))
pmv.plot_specific_discharge(spdis, color='white')
fname = 'results.png'
fname = os.path.join(ws, fname)
plt.savefig(fname)
plt.close('all')
return
def test_mfusg():
name = "dummy"
nlay = 3
nrow = 10
ncol = 10
delr = delc = 1.0
top = 1
bot = 0
dz = (top - bot) / nlay
botm = [top - k * dz for k in range(1, nlay + 1)]
# create dummy model and dis package for gridgen
m = flopy.modflow.Modflow(modelname=name, model_ws=gridgen_ws)
dis = flopy.modflow.ModflowDis(
m,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm,
)
# Create and build the gridgen model with a refined area in the middle
g = Gridgen(dis, model_ws=gridgen_ws)
polys = [Polygon([(4, 4), (6, 4), (6, 6), (4, 6)])]
g.add_refinement_features(polys, "polygon", 3, layers=[0])
g.build()
chdspd = []
for x, y, head in [(0, 10, 1.0), (10, 0, 0.0)]:
ra = g.intersect([(x, y)], "point", 0)
ic = ra["nodenumber"][0]
chdspd.append([ic, head, head])
# gridprops = g.get_gridprops()
gridprops = g.get_gridprops_disu5()
# create the mfusg modoel
ws = os.path.join(tpth, "gridgen_mfusg")
name = "mymodel"
m = flopy.modflow.Modflow(
modelname=name,
model_ws=ws,
version="mfusg",
exe_name=mfusg_exe,
structured=False,
)
disu = flopy.modflow.ModflowDisU(m, **gridprops)
bas = flopy.modflow.ModflowBas(m)
lpf = flopy.modflow.ModflowLpf(m)
chd = flopy.modflow.ModflowChd(m, stress_period_data=chdspd)
sms = flopy.modflow.ModflowSms(m)
oc = flopy.modflow.ModflowOc(m, stress_period_data={(0, 0): ["save head"]})
m.write_input()
# MODFLOW-USG does not have vertices, so we need to create
# and unstructured grid and then assign it to the model. This
# will allow plotting and other features to work properly.
gridprops_ug = g.get_gridprops_unstructuredgrid()
ugrid = flopy.discretization.UnstructuredGrid(**gridprops_ug, angrot=-15)
m.modelgrid = ugrid
if mfusg_exe is not None:
m.run_model()
# head is returned as a list of head arrays for each layer
head_file = os.path.join(ws, name + ".hds")
head = flopy.utils.HeadUFile(head_file).get_data()
if matplotlib is not None:
f = plt.figure(figsize=(10, 10))
vmin = 0.0
vmax = 1.0
for ilay in range(disu.nlay):
ax = plt.subplot(1, g.nlay, ilay + 1)
pmv = flopy.plot.PlotMapView(m, layer=ilay, ax=ax)
ax.set_aspect("equal")
pmv.plot_array(head[ilay], cmap="jet", vmin=vmin, vmax=vmax)
pmv.plot_grid(colors="k", alpha=0.1)
pmv.contour_array(head[ilay],
levels=[0.2, 0.4, 0.6, 0.8],
linewidths=3.0)
ax.set_title("Layer {}".format(ilay + 1))
# pmv.plot_specific_discharge(spdis, color='white')
fname = "results.png"
fname = os.path.join(ws, fname)
plt.savefig(fname)
plt.close("all")
# re-run with an LPF keyword specified. This would have thrown an error
# before the addition of ikcflag to mflpf.py (flopy 3.3.3 and earlier).
lpf = flopy.modflow.ModflowLpf(m, novfc=True, nocvcorrection=True)
m.write_input()
m.run_model()
# also test load of unstructured LPF with keywords
lpf2 = flopy.modflow.ModflowLpf.load(os.path.join(ws, name + ".lpf"),
m,
check=False)
msg = "NOCVCORRECTION and NOVFC should be in lpf options but at least one is not."
assert ("NOVFC" in lpf2.options.upper()
and "NOCVCORRECTION" in lpf2.options.upper()), msg
return
def run():
## load and run vertex grid example
# run installed version of flopy or add local path
try:
import flopy
except:
fpth = os.path.abspath(os.path.join("../..", ".."))
sys.path.append(fpth)
import flopy
print(sys.version)
print("numpy version: {}".format(np.__version__))
print("matplotlib version: {}".format(mpl.__version__))
print("flopy version: {}".format(flopy.__version__))
if not os.path.exists("data"):
os.mkdir("data")
from flopy.utils.gridgen import Gridgen
Lx = 10000.0
Ly = 10500.0
nlay = 3
nrow = 21
ncol = 20
delr = Lx / ncol
delc = Ly / nrow
top = 400
botm = [220, 200, 0]
ms = flopy.modflow.Modflow()
dis5 = flopy.modflow.ModflowDis(
ms,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm,
)
model_name = "mp7p2"
model_ws = os.path.join("data", "mp7_ex2", "mf6")
gridgen_ws = os.path.join(model_ws, "gridgen")
g = Gridgen(dis5, model_ws=gridgen_ws)
rf0shp = os.path.join(gridgen_ws, "rf0")
xmin = 7 * delr
xmax = 12 * delr
ymin = 8 * delc
ymax = 13 * delc
rfpoly = [[[
(xmin, ymin),
(xmax, ymin),
(xmax, ymax),
(xmin, ymax),
(xmin, ymin),
]]]
g.add_refinement_features(rfpoly, "polygon", 1, range(nlay))
rf1shp = os.path.join(gridgen_ws, "rf1")
xmin = 8 * delr
xmax = 11 * delr
ymin = 9 * delc
ymax = 12 * delc
rfpoly = [[[
(xmin, ymin),
(xmax, ymin),
(xmax, ymax),
(xmin, ymax),
(xmin, ymin),
]]]
g.add_refinement_features(rfpoly, "polygon", 2, range(nlay))
rf2shp = os.path.join(gridgen_ws, "rf2")
xmin = 9 * delr
xmax = 10 * delr
ymin = 10 * delc
ymax = 11 * delc
rfpoly = [[[
(xmin, ymin),
(xmax, ymin),
(xmax, ymax),
(xmin, ymax),
(xmin, ymin),
]]]
g.add_refinement_features(rfpoly, "polygon", 3, range(nlay))
g.build(verbose=False)
gridprops = g.get_gridprops_disv()
ncpl = gridprops["ncpl"]
top = gridprops["top"]
botm = gridprops["botm"]
nvert = gridprops["nvert"]
vertices = gridprops["vertices"]
cell2d = gridprops["cell2d"]
# cellxy = gridprops['cellxy']
# create simulation
sim = flopy.mf6.MFSimulation(sim_name=model_name,
version="mf6",
exe_name="mf6",
sim_ws=model_ws)
# create tdis package
tdis_rc = [(1000.0, 1, 1.0)]
tdis = flopy.mf6.ModflowTdis(sim,
pname="tdis",
time_units="DAYS",
perioddata=tdis_rc)
# create gwf model
gwf = flopy.mf6.ModflowGwf(sim,
modelname=model_name,
model_nam_file="{}.nam".format(model_name))
gwf.name_file.save_flows = True
# create iterative model solution and register the gwf model with it
ims = flopy.mf6.ModflowIms(
sim,
pname="ims",
print_option="SUMMARY",
complexity="SIMPLE",
outer_hclose=1.0e-5,
outer_maximum=100,
under_relaxation="NONE",
inner_maximum=100,
inner_hclose=1.0e-6,
rcloserecord=0.1,
linear_acceleration="BICGSTAB",
scaling_method="NONE",
reordering_method="NONE",
relaxation_factor=0.99,
)
sim.register_ims_package(ims, [gwf.name])
# disv
disv = flopy.mf6.ModflowGwfdisv(
gwf,
nlay=nlay,
ncpl=ncpl,
top=top,
botm=botm,
nvert=nvert,
vertices=vertices,
cell2d=cell2d,
)
# initial conditions
ic = flopy.mf6.ModflowGwfic(gwf, pname="ic", strt=320.0)
# node property flow
npf = flopy.mf6.ModflowGwfnpf(
gwf,
xt3doptions=[("xt3d")],
save_specific_discharge=True,
icelltype=[1, 0, 0],
k=[50.0, 0.01, 200.0],
k33=[10.0, 0.01, 20.0],
)
# wel
wellpoints = [(4750.0, 5250.0)]
welcells = g.intersect(wellpoints, "point", 0)
# welspd = flopy.mf6.ModflowGwfwel.stress_period_data.empty(gwf, maxbound=1, aux_vars=['iface'])
welspd = [[(2, icpl), -150000, 0] for icpl in welcells["nodenumber"]]
wel = flopy.mf6.ModflowGwfwel(
gwf,
print_input=True,
auxiliary=[("iface", )],
stress_period_data=welspd,
)
# rch
aux = [np.ones(ncpl, dtype=int) * 6]
rch = flopy.mf6.ModflowGwfrcha(gwf,
recharge=0.005,
auxiliary=[("iface", )],
aux={0: [6]})
# riv
riverline = [[[(Lx - 1.0, Ly), (Lx - 1.0, 0.0)]]]
rivcells = g.intersect(riverline, "line", 0)
rivspd = [[(0, icpl), 320.0, 100000.0, 318]
for icpl in rivcells["nodenumber"]]
riv = flopy.mf6.ModflowGwfriv(gwf, stress_period_data=rivspd)
# output control
oc = flopy.mf6.ModflowGwfoc(
gwf,
pname="oc",
budget_filerecord="{}.cbb".format(model_name),
head_filerecord="{}.hds".format(model_name),
headprintrecord=[("COLUMNS", 10, "WIDTH", 15, "DIGITS", 6, "GENERAL")],
saverecord=[("HEAD", "ALL"), ("BUDGET", "ALL")],
printrecord=[("HEAD", "ALL"), ("BUDGET", "ALL")],
)
sim.write_simulation()
sim.run_simulation()
mp_namea = model_name + "a_mp"
mp_nameb = model_name + "b_mp"
pcoord = np.array([
[0.000, 0.125, 0.500],
[0.000, 0.375, 0.500],
[0.000, 0.625, 0.500],
[0.000, 0.875, 0.500],
[1.000, 0.125, 0.500],
[1.000, 0.375, 0.500],
[1.000, 0.625, 0.500],
[1.000, 0.875, 0.500],
[0.125, 0.000, 0.500],
[0.375, 0.000, 0.500],
[0.625, 0.000, 0.500],
[0.875, 0.000, 0.500],
[0.125, 1.000, 0.500],
[0.375, 1.000, 0.500],
[0.625, 1.000, 0.500],
[0.875, 1.000, 0.500],
])
nodew = gwf.disv.ncpl.array * 2 + welcells["nodenumber"][0]
plocs = [nodew for i in range(pcoord.shape[0])]
# create particle data
pa = flopy.modpath.ParticleData(
plocs,
structured=False,
localx=pcoord[:, 0],
localy=pcoord[:, 1],
localz=pcoord[:, 2],
drape=0,
)
# create backward particle group
fpth = mp_namea + ".sloc"
pga = flopy.modpath.ParticleGroup(particlegroupname="BACKWARD1",
particledata=pa,
filename=fpth)
facedata = flopy.modpath.FaceDataType(
drape=0,
verticaldivisions1=10,
horizontaldivisions1=10,
verticaldivisions2=10,
horizontaldivisions2=10,
verticaldivisions3=10,
horizontaldivisions3=10,
verticaldivisions4=10,
horizontaldivisions4=10,
rowdivisions5=0,
columndivisions5=0,
rowdivisions6=4,
columndivisions6=4,
)
pb = flopy.modpath.NodeParticleData(subdivisiondata=facedata, nodes=nodew)
# create forward particle group
fpth = mp_nameb + ".sloc"
pgb = flopy.modpath.ParticleGroupNodeTemplate(
particlegroupname="BACKWARD2", particledata=pb, filename=fpth)
# create modpath files
mp = flopy.modpath.Modpath7(modelname=mp_namea,
flowmodel=gwf,
exe_name="mp7",
model_ws=model_ws)
flopy.modpath.Modpath7Bas(mp, porosity=0.1)
flopy.modpath.Modpath7Sim(
mp,
simulationtype="combined",
trackingdirection="backward",
weaksinkoption="pass_through",
weaksourceoption="pass_through",
referencetime=0.0,
stoptimeoption="extend",
timepointdata=[500, 1000.0],
particlegroups=pga,
)
# write modpath datasets
mp.write_input()
# run modpath
mp.run_model()
# create modpath files
mp = flopy.modpath.Modpath7(modelname=mp_nameb,
flowmodel=gwf,
exe_name="mp7",
model_ws=model_ws)
flopy.modpath.Modpath7Bas(mp, porosity=0.1)
flopy.modpath.Modpath7Sim(
mp,
simulationtype="endpoint",
trackingdirection="backward",
weaksinkoption="pass_through",
weaksourceoption="pass_through",
referencetime=0.0,
stoptimeoption="extend",
particlegroups=pgb,
)
# write modpath datasets
mp.write_input()
# run modpath
mp.run_model()
return
edgecolor='none',
alpha=0.2)
flopy.plot.plot_shapefile(rf1shp,
ax=ax,
linewidth=10,
alpha=0.2,
color='darkblue')
flopy.plot.plot_shapefile(rf0shp, ax=ax, facecolor='red', radius=1, alpha=0.2)
mpl.pyplot.savefig(os.path.join(model_ws, 'fig2.png'))
mu = flopy.modflow.Modflow(model_ws=model_ws, modelname='mfusg')
disu = g.get_disu(mu)
disu.write_file()
# print(disu)
adpoly_intersect = g.intersect(adpoly, 'polygon', 0)
print(adpoly_intersect.dtype.names)
print(adpoly_intersect)
print(adpoly_intersect.nodenumber)
well_intersect = g.intersect(wells, 'point', 0)
print(well_intersect.dtype.names)
print(well_intersect)
print(well_intersect.nodenumber)
river_intersect = g.intersect(river, 'line', 0)
print(river_intersect.dtype.names)
# print(river_intersect)
# print(river_intersect.nodenumber)
# Plot Intersected Features
def test_gridgen():
# define the base grid and then create a couple levels of nested
# refinement
Lx = 10000.
Ly = 10500.
nlay = 3
nrow = 21
ncol = 20
delr = Lx / ncol
delc = Ly / nrow
top = 400
botm = [220, 200, np.random.random((nrow, ncol))]
# create a dummy dis package for gridgen
ms = flopy.modflow.Modflow()
dis5 = flopy.modflow.ModflowDis(ms, nlay=nlay, nrow=nrow, ncol=ncol,
delr=delr,
delc=delc, top=top, botm=botm)
gridgen_ws = cpth
g = Gridgen(dis5, model_ws=gridgen_ws, exe_name=exe_name)
rf0shp = os.path.join(gridgen_ws, 'rf0')
xmin = 7 * delr
xmax = 12 * delr
ymin = 8 * delc
ymax = 13 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
rf1shp = os.path.join(gridgen_ws, 'rf1')
xmin = 8 * delr
xmax = 11 * delr
ymin = 9 * delc
ymax = 12 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
rf2shp = os.path.join(gridgen_ws, 'rf2')
xmin = 9 * delr
xmax = 10 * delr
ymin = 10 * delc
ymax = 11 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
# if gridgen executable is available then do the main part of the test
if run:
# Use gridgen to build the grid
g.build()
# test the different gridprops dictionaries, which contain all the
# information needed to make the different discretization packages
gridprops = g.get_gridprops_disv()
gridprops = g.get_gridprops()
#gridprops = g.get_gridprops_disu6()
# test the gridgen point intersection
points = [(4750., 5250.)]
cells = g.intersect(points, 'point', 0)
n = cells['nodenumber'][0]
msg = ('gridgen point intersect did not identify the correct '
'cell {} <> {}'.format(n, 308))
assert n == 308, msg
# test the gridgen line intersection
line = [[[(Lx, Ly), (Lx, 0.)]]]
cells = g.intersect(line, 'line', 0)
nlist = [n for n in cells['nodenumber']]
nlist2 = [19, 650, 39, 630, 59, 610, 79, 590, 99, 570, 119, 550, 139,
530, 159, 510, 194, 490, 265, 455, 384]
msg = ('gridgen line intersect did not identify the correct '
'cells {} <> {}'.format(nlist, nlist2))
assert nlist == nlist2, msg
# test getting a modflow-usg disu package
mu = flopy.modflow.Modflow(version='mfusg', structured=False)
disu = g.get_disu(mu)
return
def test_gridgen():
# define the base grid and then create a couple levels of nested
# refinement
Lx = 10000.
Ly = 10500.
nlay = 3
nrow = 21
ncol = 20
delr = Lx / ncol
delc = Ly / nrow
top = 400
botm = [220, 200, np.random.random((nrow, ncol))]
# create a dummy dis package for gridgen
ms = flopy.modflow.Modflow()
dis5 = flopy.modflow.ModflowDis(ms,
nlay=nlay,
nrow=nrow,
ncol=ncol,
delr=delr,
delc=delc,
top=top,
botm=botm)
gridgen_ws = cpth
g = Gridgen(dis5, model_ws=gridgen_ws, exe_name=exe_name)
rf0shp = os.path.join(gridgen_ws, 'rf0')
xmin = 7 * delr
xmax = 12 * delr
ymin = 8 * delc
ymax = 13 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 1, range(nlay))
rf1shp = os.path.join(gridgen_ws, 'rf1')
xmin = 8 * delr
xmax = 11 * delr
ymin = 9 * delc
ymax = 12 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 2, range(nlay))
rf2shp = os.path.join(gridgen_ws, 'rf2')
xmin = 9 * delr
xmax = 10 * delr
ymin = 10 * delc
ymax = 11 * delc
rfpoly = [[[(xmin, ymin), (xmax, ymin), (xmax, ymax), (xmin, ymax),
(xmin, ymin)]]]
g.add_refinement_features(rfpoly, 'polygon', 3, range(nlay))
# if gridgen executable is available then do the main part of the test
if run:
# Use gridgen to build the grid
g.build()
# test the different gridprops dictionaries, which contain all the
# information needed to make the different discretization packages
gridprops = g.get_gridprops_disv()
gridprops = g.get_gridprops()
#gridprops = g.get_gridprops_disu6()
# test the gridgen point intersection
points = [(4750., 5250.)]
cells = g.intersect(points, 'point', 0)
n = cells['nodenumber'][0]
msg = ('gridgen point intersect did not identify the correct '
'cell {} <> {}'.format(n, 308))
assert n == 308, msg
# test the gridgen line intersection
line = [[[(Lx, Ly), (Lx, 0.)]]]
cells = g.intersect(line, 'line', 0)
nlist = [n for n in cells['nodenumber']]
nlist2 = [
19, 650, 39, 630, 59, 610, 79, 590, 99, 570, 119, 550, 139, 530,
159, 510, 194, 490, 265, 455, 384
]
msg = ('gridgen line intersect did not identify the correct '
'cells {} <> {}'.format(nlist, nlist2))
assert nlist == nlist2, msg
# test getting a modflow-usg disu package
mu = flopy.modflow.Modflow(version='mfusg', structured=False)
disu = g.get_disu(mu)
return
shpnames_dic['river']: 'line',
shpnames_dic['ghb']: 'line',
shpnames_dic['active']: 'polygon'
}
# ---- Create main dictionary
icpl_dic = {}
# ----| Start interceptions for all boundaries with gridgen mesh |----
for inter_id in inter_list:
# ---- Fetch shp path without '.shp'
shp_id = shpnames_dic[inter_id].replace('.shp', '')
# ---- Fetch shp type
feat_type = geoms_dic[shpnames_dic[inter_id]]
# ---- Perform intersection and convert into dataframe
df = pd.DataFrame(g.intersect(shp_id, feat_type, nlay - 1))
# ---- Drop duplicated node during intersection
df.drop_duplicates(subset='nodenumber',
keep='first',
inplace=True,
ignore_index=True)
# ---- Decode the 'ID' column into utf-8
df['ID'] = [x.decode('utf-8') for x in df['ID']]
# ---- Fetch ID column cataegories
feat_ids = pd.Categorical(df['ID']).categories
# ---- Manage bad intersection
df = df.query('nodenumber > 0')
# ---- Compute river curvilinear length for river purpose
if inter_id.startswith('river'):
# ---- Compute curvilinea distance xc