Ejemplo aplicado de la simulación del flujo de agua subterránea hacia una mina a cielo abierto considerando fallas con un espesor de 1 metro. El modelo tiene 6 períodos de esfuerzo, uno de estado estacionario y 5 períodos transitorios que representan el desarrollo de la mina a lo largo de 4 años dentro de una vida total de la mina de 20 años. El tutorial muestra el proceso completo comenzando desde la creación de la malla, construcción del modelo, análisis del balance hídrico y representación tridimensional.
Tutorial
Código
from mf6Voronoi.utils import listTemplates, copyTemplate#listTemplates()copyTemplate('generateVoronoi','tajo')copyTemplate('multilayeredTransient','tajo')copyTemplate('vtkGeneration','tajo')Part 1 : Voronoi mesh generation
#!pip install -U mf6Voronoiimport warnings ## Org
warnings.filterwarnings('ignore') ## Org
import os, sys ## Org
import geopandas as gpd ## Org
from mf6Voronoi.geoVoronoi import createVoronoi ## Org
from mf6Voronoi.meshProperties import meshShape ## Org
from mf6Voronoi.utils import initiateOutputFolder, getVoronoiAsShp ## Org#Create mesh object specifying the coarse mesh and the multiplier
vorMesh = createVoronoi(meshName='openPit',maxRef = 200, multiplier=2.5, overlapping=False) ## Org
#Open limit layers and refinement definition layers
vorMesh.addLimit('basin','../shp/local/aoi.shp') ## Org
vorMesh.addLayer('faults','../shp/faults_v2.shp',1) #<======= Insert
vorMesh.addLayer('river','../shp/river_basin.shp',50) ## Org
vorMesh.addLayer('pit','../shp/minePlan/pitShell.shp',50) ## Org
vorMesh.addLayer('regionalFlow','../shp/local/regionalFlow.shp',50)#Generate point pair array
vorMesh.generateOrgDistVertices() ## Org
#Generate the point cloud and voronoi
vorMesh.createPointCloud() ## Org
vorMesh.generateVoronoi() ## Org
mf6Voronoi will have a web version in 2028
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/--------Layer faults discretization-------/
Progressive cell size list: [1, 3.5, 9.75, 25.375, 64.4375, 162.09375] m.
/--------Layer river discretization-------/
Progressive cell size list: [50, 175.0] m.
/--------Layer pit discretization-------/
Progressive cell size list: [50, 175.0] m.
/--------Layer regionalFlow discretization-------/
Progressive cell size list: [50, 175.0] m.
/----Sumary of points for voronoi meshing----/
Distributed points from layers: 4
Points from layer buffers: 26874
Points from max refinement areas: 384
Points from min refinement areas: 629
Total points inside the limit: 35446
/--------------------------------------------/
Time required for point generation: 15.48 seconds
/----Generation of the voronoi mesh----/
Time required for voronoi generation: 5.12 seconds#Uncomment the next two cells if you have strong differences on discretization or you have encounter an FORTRAN error while running MODFLOW6vorMesh.checkVoronoiQuality(threshold=0.01)/----Performing quality verification of voronoi mesh----/
Short side on polygon: 35445 with length = 0.00123
Short side on polygon: 35445 with length = 0.00123
Short side on polygon: 35445 with length = 0.00123vorMesh.fixVoronoiShortSides()
vorMesh.generateVoronoi()
vorMesh.checkVoronoiQuality(threshold=0.01)/----Generation of the voronoi mesh----/
Time required for voronoi generation: 5.67 seconds
/----Performing quality verification of voronoi mesh----/
Your mesh has no edges shorter than your threshold#Export generated voronoi mesh
initiateOutputFolder('../output') ## Org
getVoronoiAsShp(vorMesh.modelDis, shapePath='../output/'+vorMesh.modelDis['meshName']+'.shp') ## OrgThe output folder ../output exists and has been cleared
/----Generation of the voronoi shapefile----/
Time required for voronoi shapefile: 10.76 seconds# Show the resulting voronoi mesh
#open the mesh file
mesh=gpd.read_file('../output/'+vorMesh.modelDis['meshName']+'.shp') ## Org
#plot the mesh
mesh.plot(figsize=(35,25), fc='crimson', alpha=0.3, ec='teal') ## Org
Part 2 generate disv properties
# open the mesh file
mesh=meshShape('../output/'+vorMesh.modelDis['meshName']+'.shp') ## Org# get the list of vertices and cell2d data
gridprops=mesh.get_gridprops_disv() ## OrgCreating a unique list of vertices [[x1,y1],[x2,y2],...]
100%|█████████████████████████████████████████████████████████████████████████| 35685/35685 [00:02<00:00, 12119.34it/s]
Extracting cell2d data and grid index
100%|██████████████████████████████████████████████████████████████████████████| 35685/35685 [00:17<00:00, 2097.42it/s]#create folder
initiateOutputFolder('../json') ## Org
#export disv
mesh.save_properties('../json/disvDict.json') ## OrgThe output folder ../json exists and has been clearedPart 2a: generate disv properties
import sys, json, os ## Org
import rasterio, flopy ## Org
import numpy as np ## Org
import matplotlib.pyplot as plt ## Org
import geopandas as gpd ## Org
from mf6Voronoi.meshProperties import meshShape ## Org
from shapely.geometry import MultiLineString ## Org
from mf6Voronoi.tools.cellWork import getLayCellElevTupleFromRaster, getLayCellElevTupleFromElevC:\Users\saulm\anaconda3\Lib\site-packages\pyvista\examples\downloads.py:93: DeprecationWarning: support for supplying keyword arguments to pathlib.PurePath is deprecated and scheduled for removal in Python 3.14
Path(USER_DATA_PATH, exist_ok=True).mkdir()
C:\Users\saulm\anaconda3\Lib\site-packages\pyvista\examples\downloads.py:98: UserWarning: Unable to access C:\Users\saulm\AppData\Local\pyvista_3\pyvista_3\Cache. Manually specify the PyVistaexamples cache with the PYVISTA_USERDATA_PATH environment variable.
warnings.warn(# open the json file
with open('../json/disvDict.json') as file: ## Org
gridProps = json.load(file) ## Orgcell2d = gridProps['cell2d'] #cellid, cell centroid xy, vertex number and vertex id list
vertices = gridProps['vertices'] #vertex id and xy coordinates
ncpl = gridProps['ncpl'] #number of cells per layer
nvert = gridProps['nvert'] #number of verts
centroids=gridProps['centroids'] #cell centroids xyPart 2b: Model construction and simulation
#Extract dem values for each centroid of the voronois
src = rasterio.open('../rst/topoWgs12N.tif') ## Org
elevation=[x for x in src.sample(centroids)] ## Orgnlay = 15 ## Org
mtop=np.array([elev[0] for i,elev in enumerate(elevation)]) ## Org
zbot=np.zeros((nlay,ncpl)) ## Org
AcuifInf_Bottom = 1300 ## Org
zbot[0,] = AcuifInf_Bottom + (0.95 * (mtop - AcuifInf_Bottom)) ## Org
zbot[1,] = AcuifInf_Bottom + (0.90 * (mtop - AcuifInf_Bottom)) ## Org
zbot[2,] = AcuifInf_Bottom + (0.85 * (mtop - AcuifInf_Bottom)) ## Org
zbot[3,] = AcuifInf_Bottom + (0.80 * (mtop - AcuifInf_Bottom)) ## Org
zbot[4,] = AcuifInf_Bottom + (0.75 * (mtop - AcuifInf_Bottom)) ## Org
zbot[5,] = AcuifInf_Bottom + (0.70 * (mtop - AcuifInf_Bottom)) ## Org
zbot[6,] = AcuifInf_Bottom + (0.65 * (mtop - AcuifInf_Bottom)) ## Org
zbot[7,] = AcuifInf_Bottom + (0.60 * (mtop - AcuifInf_Bottom)) ## Org
zbot[8,] = AcuifInf_Bottom + (0.55 * (mtop - AcuifInf_Bottom)) ## Org
zbot[9,] = AcuifInf_Bottom + (0.50 * (mtop - AcuifInf_Bottom)) ## Org
zbot[10,] = AcuifInf_Bottom + (0.45 * (mtop - AcuifInf_Bottom)) ## Org
zbot[11,] = AcuifInf_Bottom + (0.40 * (mtop - AcuifInf_Bottom)) ## Org
zbot[12,] = AcuifInf_Bottom + (0.35 * (mtop - AcuifInf_Bottom)) ## Org
zbot[13,] = AcuifInf_Bottom + (0.2 * (mtop - AcuifInf_Bottom)) ## Org
zbot[14,] = AcuifInf_Bottom ## OrgCreate simulation and model
# create simulation
simName = 'mf6Sim' ## Org
modelName = 'mf6Model' ## Org
modelWs = '../modelFiles' ## Org
sim = flopy.mf6.MFSimulation(sim_name=modelName, version='mf6', ## Org
exe_name='../bin/mf6.exe', ## Org
continue_=True,
sim_ws=modelWs) ## Org# create tdis package
tdis_rc = [(1.0, 1, 1.0)] + [(86400*365*4, 1, 1.0) for level in range(5)] ## Org
print(tdis_rc[:3]) ## Org
tdis = flopy.mf6.ModflowTdis(sim, pname='tdis', time_units='SECONDS', ## Org
perioddata=tdis_rc, ## Org
nper=6) ## Org[(1.0, 1, 1.0), (126144000, 1, 1.0), (126144000, 1, 1.0)]# create gwf model
gwf = flopy.mf6.ModflowGwf(sim, ## Org
modelname=modelName, ## Org
save_flows=True, ## Org
newtonoptions="NEWTON UNDER_RELAXATION") ## Org# create iterative model solution and register the gwf model with it
ims = flopy.mf6.ModflowIms(sim, ## Org
complexity='COMPLEX', ## Org
outer_maximum=150, ## Org
inner_maximum=50, ## Org
outer_dvclose=0.1, ## Org
inner_dvclose=0.0001, ## Org
backtracking_number=20, ## Org
linear_acceleration='BICGSTAB') ## Org
sim.register_ims_package(ims,[modelName]) ## Org# disv
disv = flopy.mf6.ModflowGwfdisv(gwf, nlay=nlay, ncpl=ncpl, ## Org
top=mtop, botm=zbot, ## Org
nvert=nvert, vertices=vertices, ## Org
cell2d=cell2d) ## Orgdisv.top.plot(figsize=(12,8), alpha=0.8) ## Org
crossSection = gpd.read_file('../shp/crossSection.shp') ## Org
sectionLine =list(crossSection.iloc[0].geometry.coords) ## Org
fig, ax = plt.subplots(figsize=(12,8)) ## Org
modelxsect = flopy.plot.PlotCrossSection(model=gwf, line={'Line': sectionLine}) ## Org
linecollection = modelxsect.plot_grid(lw=0.5) ## Org
ax.grid() ## Org
# initial conditions
ic = flopy.mf6.ModflowGwfic(gwf, strt=np.stack([mtop for i in range(nlay)])) ## Org
#headsInitial = np.load('../npy/headCalibInitial.npy')
#ic = flopy.mf6.ModflowGwfic(gwf, strt=headsInitial)ncplOnes = np.ones(ncpl) # <===== Inserted
Kx =[4E-4] + [7E-7 for x in range(6)] + [3E-7 for x in range(6)] + [1E-7 for x in range(nlay - 13)] ## Org
Kx = [kValue*ncplOnes for kValue in Kx] # <===== Inserted
Kx = np.hstack(Kx) # <===== Inserted
# Kx =[4E-4] + [7E-7 for x in range(4)] + [3E-7 for x in range(4)] + [1E-7 for x in range(nlay - 9)] ## Org
icelltype = [1 for x in range(10)] + [0 for x in range(nlay - 10)] ## Org
# Define intersection object # <===== Inserted
interIx = flopy.utils.gridintersect.GridIntersect(gwf.modelgrid) # <===== Inserted
faultDf = gpd.read_file('../shp/faults_v2.shp') # <===== Inserted
# for faults <==== Inserted
for index, row in faultDf.iterrows(): # <===== Inserted
cellids = interIx.intersect(row.geometry).cellids # <===== Inserted
cellidsListLy1_end = [list(cellids+ncpl*lay) for lay in range(1,gwf.modelgrid.nlay)] # <===== Inserted
Kx[cellidsListLy1_end] = 9e-7 # <===== Inserted
# node property flow
npf = flopy.mf6.ModflowGwfnpf(gwf, ## Org
save_specific_discharge=True, ## Org
icelltype=icelltype, ## Org
k=Kx, ## Org
# k33=np.array(Kx)/10) ## Org
k33 = Kx) ## Org#plot cross section
import matplotlib.colors as mcolors # <===== Inserted
crossSection = gpd.read_file('../shp/crossSection.shp') # <===== Inserted
sectionLine =list(crossSection.iloc[0].geometry.coords) # <===== Inserted
fig, ax = plt.subplots(figsize=(12,8)) # <===== Inserted
modelxsect = flopy.plot.PlotCrossSection(model=gwf, line={'Line': sectionLine}) # <===== Inserted
linecollection = modelxsect.plot_array(npf.k.array,
alpha=0.5,
norm=mcolors.LogNorm(vmin=Kx.min(),
vmax=Kx.max())) # <===== Inserted
modelxsect.plot_grid(lw=0.5) # <===== Inserted
plt.colorbar(linecollection, shrink=0.75) # <===== Inserted
# define storage and transient stress periods
sto = flopy.mf6.ModflowGwfsto(gwf, ## Org
iconvert=1, ## Org
steady_state={ ## Org
0:True, ## Org
},
transient={
1:True, ## Org
2:True, ## Org
3:True, ## Org
4:True, ## Org
5:True, ## Org
},
ss=1e-06,
sy=0.001,
) ## OrgWorking with rechage, evapotranspiration
rchr = 0.2/365/86400 ## Org
rch = flopy.mf6.ModflowGwfrcha(gwf, recharge=rchr) ## Org
evtr = 1.2/365/86400 ## Org
evt = flopy.mf6.ModflowGwfevta(gwf,ievt=1,surface=mtop,rate=evtr,depth=1.0) ## OrgDefinition of the intersect object
For the manipulation of spatial data to determine hydraulic parameters or boundary conditions
# Define intersection object
interIx = flopy.utils.gridintersect.GridIntersect(gwf.modelgrid) ## Org#river package
layCellTupleList, cellElevList = getLayCellElevTupleFromRaster(gwf,interIx,'../rst/topoWgs12N.tif',
'../shp/river_basin.shp') ## Org
riverSpd = {} ## Org
riverSpd[0] = [] ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## Org
riverSpd[0].append([layCellTuple,cellElevList[index],0.01,'Drain']) ## Orgimport copy ## Org
#for yr 4
riverSpd[1] = copy.copy(riverSpd[0]) ## Org
layCellTupleList, cellElevList = getLayCellElevTupleFromRaster(gwf, ## Org
interIx, ## Org
'../rst/minePlan/pitElevYr04.tif', ## Org
'../shp/minePlan/pitShell.shp') ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## Org
riverSpd[1].append([layCellTuple,cellElevList[index],0.011, 'Pit']) # <===== Inserted
#for yr 8
riverSpd[2] = copy.copy(riverSpd[0]) ## Org
layCellTupleList, cellElevList = getLayCellElevTupleFromRaster(gwf, ## Org
interIx, ## Org
'../rst/minePlan/pitElevYr08.tif', ## Org
'../shp/minePlan/pitShell.shp') ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## Org
riverSpd[2].append([layCellTuple,cellElevList[index],0.012, 'Pit']) # <===== Inserted
#for yr 12
riverSpd[3] = copy.copy(riverSpd[0]) ## Org
layCellTupleList, cellElevList = getLayCellElevTupleFromRaster(gwf, ## Org
interIx, ## Org
'../rst/minePlan/pitElevYr12.tif', ## Org
'../shp/minePlan/pitShell.shp') ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## Org
riverSpd[3].append([layCellTuple,cellElevList[index],0.013, 'Pit']) # <===== Inserted
#for yr 16
riverSpd[4] = copy.copy(riverSpd[0]) ## Org
layCellTupleList, cellElevList = getLayCellElevTupleFromRaster(gwf, ## Org
interIx, ## Org
'../rst/minePlan/pitElevYr16.tif', ## Org
'../shp/minePlan/pitShell.shp') ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## Org
riverSpd[4].append([layCellTuple,cellElevList[index],0.014, 'Pit']) # <===== Inserted
#for yr 20
riverSpd[5] = copy.copy(riverSpd[0]) ## Org
layCellTupleList, cellElevList = getLayCellElevTupleFromRaster(gwf, ## Org
interIx, ## Org
'../rst/minePlan/pitElevYr20.tif', ## Org
'../shp/minePlan/pitShell.shp') ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## Org
riverSpd[5].append([layCellTuple,cellElevList[index],0.015, 'Pit']) # <===== InsertedThe cell 2385 has a elevation of 1897.48 outside the model vertical domain
The cell 2395 has a elevation of 1898.64 outside the model vertical domain
The cell 2402 has a elevation of 1898.52 outside the model vertical domain
The cell 2403 has a elevation of 1898.80 outside the model vertical domain
The cell 2406 has a elevation of 1898.12 outside the model vertical domain
The cell 2407 has a elevation of 1898.32 outside the model vertical domaindrn = flopy.mf6.ModflowGwfdrn(gwf, stress_period_data=riverSpd, boundnames=True) # <===== Inserted
# Observation package for Drain
obsDict = { # <===== Inserted
"{}.drn.obs.csv".format(modelName): [ # <===== Inserted
("drain_flow", "drn", "Drain"), # <===== Inserted
("pit_flow", "drn", "Pit") # <===== Inserted
] # <===== Inserted
} # <===== Inserted
# Attach observation package to DRN package
drn.obs.initialize( # <===== Inserted
filename=gwf.name+".drn.obs", # <===== Inserted
digits=10, # <===== Inserted
print_input=True, # <===== Inserted
continuous=obsDict # <===== Inserted
) # <===== Inserted#river plot
drn.plot(mflay=0, kper=1) # <===== Inserted
crossSection = gpd.read_file('../shp/crossSection.shp') ## Org
sectionLine =list(crossSection.iloc[0].geometry.coords) ## Org
fig, ax = plt.subplots(figsize=(12,8)) ## Org
xsect = flopy.plot.PlotCrossSection(model=gwf, line={'Line': sectionLine}) ## Org
lc = xsect.plot_grid(lw=0.5) ## Org
xsect.plot_bc('DRN',kper=5) ## Org
ax.grid() ## Org
#regional flow package
layCellTupleList, elevList = getLayCellElevTupleFromRaster(gwf,interIx,'../rst/waterTable_v2.tif','../shp/local/regionalFlow.shp') ## <=== updated
ghbSpd = {} ## Org
ghbSpd[0] = [] ## Org
for index, layCellTuple in enumerate(layCellTupleList): ## <=== updated
ghbSpd[0].append([layCellTuple,elevList[index],0.01]) ## <=== updated
ghbSpd[0][:5] ## <=== updatedThe cell 184 has a elevation of 1769.59 outside the model vertical domain
[[(0, 0), 1778.0935269188267, 0.01],
[(1, 3), 1783.0812529535838, 0.01],
[(0, 6), 1769.4535360685973, 0.01],
[(1, 17), 1808.8903920767075, 0.01],
[(0, 18), 1779.0706182680847, 0.01]]ghb = flopy.mf6.ModflowGwfghb(gwf, stress_period_data=ghbSpd) ## <===== modified
#regional flow plot
ghb.plot(mflay=0, kper=0) ## <===== modified
Set the Output Control and run simulation
#oc
head_filerecord = f"{gwf.name}.hds" ## Org
budget_filerecord = f"{gwf.name}.cbc" ## Org
oc = flopy.mf6.ModflowGwfoc(gwf, ## Org
head_filerecord=head_filerecord, ## Org
budget_filerecord = budget_filerecord, ## Org
saverecord=[("HEAD", "LAST"),("BUDGET","LAST")]) ## Org# Run the simulation
sim.write_simulation() ## Org
success, buff = sim.run_simulation() ## Orgwriting simulation...
writing simulation name file...
writing simulation tdis package...
writing solution package ims_-1...
writing model mf6Model...
writing model name file...
writing package disv...
writing package ic...
writing package npf...
writing package sto...
writing package rcha_0...
writing package evta_0...
writing package drn_0...
INFORMATION: maxbound in ('gwf6', 'drn', 'dimensions') changed to 29349 based on size of stress_period_data
writing package obs_0...
writing package ghb_0...
INFORMATION: maxbound in ('gwf6', 'ghb', 'dimensions') changed to 462 based on size of stress_period_data
writing package oc...
FloPy is using the following executable to run the model: ..\bin\mf6.exe
MODFLOW 6
U.S. GEOLOGICAL SURVEY MODULAR HYDROLOGIC MODEL
VERSION 6.6.2 05/12/2025
MODFLOW 6 compiled May 12 2025 12:42:18 with Intel(R) Fortran Intel(R) 64
Compiler Classic for applications running on Intel(R) 64, Version 2021.7.0
Build 20220726_000000
This software has been approved for release by the U.S. Geological
Survey (USGS). Although the software has been subjected to rigorous
review, the USGS reserves the right to update the software as needed
pursuant to further analysis and review. No warranty, expressed or
implied, is made by the USGS or the U.S. Government as to the
functionality of the software and related material nor shall the
fact of release constitute any such warranty. Furthermore, the
software is released on condition that neither the USGS nor the U.S.
Government shall be held liable for any damages resulting from its
authorized or unauthorized use. Also refer to the USGS Water
Resources Software User Rights Notice for complete use, copyright,
and distribution information.
MODFLOW runs in SEQUENTIAL mode
Run start date and time (yyyy/mm/dd hh:mm:ss): 2025/09/03 10:28:36
Writing simulation list file: mfsim.lst
Using Simulation name file: mfsim.nam
Solving: Stress period: 1 Time step: 1
Solving: Stress period: 2 Time step: 1
Solving: Stress period: 3 Time step: 1
Solving: Stress period: 4 Time step: 1
Solving: Stress period: 5 Time step: 1
Solving: Stress period: 6 Time step: 1
Run end date and time (yyyy/mm/dd hh:mm:ss): 2025/09/03 10:49:00
Elapsed run time: 20 Minutes, 23.857 Seconds
WARNING REPORT:
1. Simulation convergence failure occurred 1 time(s).
Normal termination of simulation.Model output visualization
headObj = gwf.output.head() ## Org
headObj.get_kstpkper() ## Org[(0, 0), (0, 1), (0, 2), (0, 3), (0, 4), (0, 5)]kper = 5 ## Org
lay = 0 ## Orgheads = headObj.get_data(kstpkper=(0,kper))
#heads[lay,0,:5]
#heads = headObj.get_data(kstpkper=(0,0))
#np.save('../npy/headCalibInitial', heads)### Plot the heads for a defined layer and boundary conditions
fig = plt.figure(figsize=(12,8)) ## Org
ax = fig.add_subplot(1, 1, 1, aspect='equal') ## Org
modelmap = flopy.plot.PlotMapView(model=gwf) ## Org
####
levels = np.linspace(heads[heads>-1e+30].min(),heads[heads>-1e+30].max(),num=50) ## Org
contour = modelmap.contour_array(heads[lay],ax=ax,levels=levels,cmap='PuBu')
ax.clabel(contour) ## Org
quadmesh = modelmap.plot_bc('DRN') ## Org
cellhead = modelmap.plot_array(heads[lay],ax=ax, cmap='Blues', alpha=0.8)
linecollection = modelmap.plot_grid(linewidth=0.3, alpha=0.5, color='cyan', ax=ax) ## Org
plt.colorbar(cellhead, shrink=0.75) ## Org
plt.show() ## Org
crossSection = gpd.read_file('../shp/crossSection.shp')
sectionLine =list(crossSection.iloc[0].geometry.coords)
waterTable = flopy.utils.postprocessing.get_water_table(heads)
#waterTable2 = flopy.utils.postprocessing.get_water_table(heads2)
fig, ax = plt.subplots(figsize=(12,8))
xsect = flopy.plot.PlotCrossSection(model=gwf, line={'Line': sectionLine})
lc = modelxsect.plot_grid(lw=0.5)
xsect.plot_array(heads, alpha=0.5)
xsect.plot_surface(waterTable)
xsect.plot_bc('drn', kper=kper, facecolor='none', edgecolor='teal')
plt.show()
#Vtk generation
import flopy ## Org
from mf6Voronoi.tools.vtkGen import Mf6VtkGenerator ## Org
from mf6Voronoi.utils import initiateOutputFolder ## OrgC:\Users\saulm\anaconda3\Lib\site-packages\pyvista\examples\downloads.py:93: DeprecationWarning: support for supplying keyword arguments to pathlib.PurePath is deprecated and scheduled for removal in Python 3.14
Path(USER_DATA_PATH, exist_ok=True).mkdir()
C:\Users\saulm\anaconda3\Lib\site-packages\pyvista\examples\downloads.py:98: UserWarning: Unable to access C:\Users\saulm\AppData\Local\pyvista_3\pyvista_3\Cache. Manually specify the PyVistaexamples cache with the PYVISTA_USERDATA_PATH environment variable.
warnings.warn(# load simulation
simName = 'mf6Sim' ## Org
modelName = 'mf6Model' ## Org
modelWs = '../modelFiles' ## Org
sim = flopy.mf6.MFSimulation.load(sim_name=modelName, version='mf6', ## Org
exe_name='bin/mf6.exe', ## Org
sim_ws=modelWs) ## Orgloading simulation...
loading simulation name file...
loading tdis package...
loading model gwf6...
loading package disv...
loading package ic...
loading package npf...
loading package sto...
loading package rch...
loading package evt...
loading package drn...
loading package ghb...
loading package oc...
loading solution package mf6model...vtkDir = '../vtk' ## Org
initiateOutputFolder(vtkDir) ## Org
mf6Vtk = Mf6VtkGenerator(sim, vtkDir) ## OrgThe output folder ../vtk has been generated.mf6Voronoi will have a web version in 2028
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/---------------------------------------/
The Vtk generator engine has been started
/---------------------------------------/#list models on the simulation
mf6Vtk.listModels() ## OrgModels in simulation: ['mf6model']mf6Vtk.loadModel(modelName) ## OrgPackage list: ['DISV', 'IC', 'NPF', 'STO', 'RCHA_0', 'EVTA_0', 'DRN_OBS', 'DRN_0', 'GHB_0', 'OC']#show output data
headObj = mf6Vtk.gwf.output.head() ## Org
headObj.get_kstpkper() ## Org[(0, 0), (0, 1), (0, 2), (0, 3), (0, 4), (0, 5)]#generate model geometry as vtk and parameter array
mf6Vtk.generateGeometryArrays() ## Org#generate parameter vtk
mf6Vtk.generateParamVtk() ## OrgParameter Vtk Generated#generate bc and obs vtk
mf6Vtk.generateBcObsVtk(nper=5) ## Org/--------RCHA_0 vtk generation-------/
Working for RCHA_0 package, creating the datasets: dict_keys(['irch', 'recharge', 'aux'])
[WARNING] There is no data for the required stress period
Vtk file took 0.1722 seconds to be generated.
/--------RCHA_0 vtk generated-------/
/--------EVTA_0 vtk generation-------/
Working for EVTA_0 package, creating the datasets: dict_keys(['ievt', 'surface', 'rate', 'depth', 'aux'])
[WARNING] There is no data for the required stress period
Vtk file took 0.1562 seconds to be generated.
/--------EVTA_0 vtk generated-------/
/--------DRN_0 vtk generation-------/
Working for DRN_0 package, creating the datasets: ('elev', 'cond', 'boundname')
Vtk file took 743.5004 seconds to be generated.
/--------DRN_0 vtk generated-------/
/--------GHB_0 vtk generation-------/
Working for GHB_0 package, creating the datasets: ('bhead', 'cond')
[WARNING] There is no data for the required stress period
Vtk file took 0.4015 seconds to be generated.
/--------GHB_0 vtk generated-------/mf6Vtk.generateHeadVtk(nper=5, crop=True) ## Orgmf6Vtk.generateWaterTableVtk(nper=5) ## Orgimport pandas as pd
import matplotlib.pyplot as pltdrainDf = pd.read_csv('../modelFiles/mf6Model.drn.obs.csv', na_values=3e30)
drainDf.head()| time | DRAIN_FLOW | PIT_FLOW | |
|---|---|---|---|
| 0 | 1.0 | -0.731761 | NaN |
| 1 | 126144001.0 | -0.323163 | -0.010561 |
| 2 | 252288001.0 | -0.294534 | -0.046803 |
| 3 | 378432001.0 | -0.269111 | -0.080022 |
| 4 | 504576001.0 | -0.249139 | -0.105717 |
inflowsDf = pd.DataFrame()
inflowsDf.index = drainDf['time']/86400/365
inflowsDf.index = inflowsDf.index.astype(int)inflowsDf['Pit(l/s)'] = -1*drainDf['PIT_FLOW'].values*1000
inflowsDf['Rivers(l/s)'] = -1*drainDf['DRAIN_FLOW'].values*1000fig, ax = plt.subplots(figsize=(12,8))
ax.plot(inflowsDf.index,inflowsDf['Pit(l/s)'],label='Pit Inflows')
ax.plot(inflowsDf.index,inflowsDf['Rivers(l/s)'],label='Rivers')
ax.legend()
ax.grid()
ax.set_xlabel('Year')
ax.set_ylabel('Flow (l/s)')
plt.show()
Datos de ingreso
Descargue los datos de ingreso desde este link:
owncloud.hatarilabs.com/s/ALDt8WUwRcAdX8h
Password: Hatarilabs
