Reputation: 799
I tried to use flopy, so I could try running some optimization procedures with python and modflow. Modflow requires a number of data to work with and we provide that info using different files.
We provide the input and flopy runs modflow
My trouble is that, flopy seems to disregard the input files and gives the same result, no matter what input I give.
Here's the code:
nper = 10
class BASreader:
def __init__(self):
self.ibound = None
self.head = None
with open("inps/bas/ibound", "r") as f:
data = f.read().replace("-", " -").split()
data = [int(x) for x in data]
data = np.array(data).reshape(1, 71, 24)
self.ibound = data
with open("inps/bas/head", "r") as f:
data = f.read().split()
data = [float(x) for x in data]
self.head = np.array(data).reshape(1, 71, 24)
class Modflow:
def __init__(self):
self.modelname = 'outs/gen1'
self.mf = flopy.modflow.Modflow(self.modelname, exe_name=r'G:\Program Files (x86)\Visual MODFLOW\mf2005.exe')
dis = flopy.modflow.ModflowDis.load("inps/yo.dis", self.mf)
basreader = BASreader()
bas = flopy.modflow.ModflowBas(self.mf, ibound=basreader.ibound, strt=basreader.head)
self.prev_headdata = basreader.head
wel = flopy.modflow.ModflowWel(self.mf, stress_period_data=WellProvider(nper).wells)
fname = 'inps/yo.evt'
fhandle = open(fname, 'r')
packages = []
ext_unit_dict = {22: flopy.utils.mfreadnam.NamData('EVT', fname, fhandle, packages)}
evt = flopy.modflow.ModflowEvt.load(fhandle, self.mf, ext_unit_dict=ext_unit_dict)
fhandle.close()
rech = {}
for x in range(nper):
rech[x] = 1.44e-5
rch = flopy.modflow.ModflowRch(self.mf, rech=rech)
stress_period_data = {}
for kper in range(nper):
for kstp in range(int(nper/10)):
stress_period_data[(kper, kstp)] = ['save head',
'save drawdown',
'save budget',
'print head',
'print drawdown',
'print budget']
oc = flopy.modflow.ModflowOc(self.mf, stress_period_data=stress_period_data, compact=True)
chd = flopy.modflow.ModflowChd.load("inps/yo.chd", self.mf)
lpf = flopy.modflow.ModflowLpf(self.mf, hk=14.44, vka=14.44, ipakcb=53, sy=0.22)
self.mf.write_input()
def run(self):
success, buff = self.mf.run_model(silent=True)
headobj = bf.HeadFile(self.modelname + '.hds')
newheaddata = headobj.get_alldata()[-1][0]
return newheaddata
mdflw = Modflow()
mdflw.run()
Now, even if I change the EVT, RCH or WEL info, the results are same. I even tried to not include the above files, still the results were same. Any pointers?
Upvotes: 1
Views: 264
Reputation: 140
This revision of your script results in different head results (since different groundwater recharge values are used). I used the bcf2ss MODFLOW-2005 input files as base files in the revised example.
Not entirely sure why your script wasn't working since your input files weren't available.
import os
import numpy as np
import flopy
class BASreader:
def __init__(self):
self.ibound = None
self.head = None
with open("inps/bas/ibound", "r") as f:
data = f.read().replace("-", " -").split()
data = [int(x) for x in data]
data = np.array(data).reshape(2, 10, 15)
self.ibound = data
with open("inps/bas/head", "r") as f:
data = f.read().split()
data = [float(x) for x in data]
self.head = np.array(data).reshape(2, 10, 15)
class Modflow:
def __init__(self, ws='outs', rech_val=.0040, wel_data=None):
self.model_ws = ws
self.modelname = 'gen1'
self.mf = flopy.modflow.Modflow(self.modelname, exe_name='mf2005',
model_ws=self.model_ws)
dis = flopy.modflow.ModflowDis.load("inps/yo.dis", self.mf, check=False)
nper = dis.nper
nstp = dis.nstp.array
basreader = BASreader()
bas = flopy.modflow.ModflowBas(self.mf, ibound=basreader.ibound,
strt=basreader.head)
self.prev_headdata = basreader.head
bcf = flopy.modflow.ModflowBcf.load("inps/yo.bc6", self.mf)
if wel_data is None:
wel_data = [[1, 2, 3, -35000.],
[1, 7, 3, -35000.]]
wel_spd = {1: wel_data}
wel = flopy.modflow.ModflowWel(self.mf,
stress_period_data=wel_spd)
riv = flopy.modflow.ModflowRiv.load('inps/yo.riv', self.mf, check=False)
rech = {}
for x in range(nper):
rech[x] = rech_val
rch = flopy.modflow.ModflowRch(self.mf, rech=rech)
pcg = flopy.modflow.ModflowPcg.load('inps/yo.pcg', self.mf)
stress_period_data = {}
for kper in range(nper):
for kstp in range(nstp[kper]):
stress_period_data[(kper, kstp)] = ['save head',
'save drawdown',
'save budget',
'print head',
'print drawdown',
'print budget']
oc = flopy.modflow.ModflowOc(self.mf,
stress_period_data=stress_period_data,
compact=True)
self.mf.write_input()
def run(self):
success, buff = self.mf.run_model(silent=True)
fpth = os.path.join(self.model_ws, self.modelname + '.hds')
headobj = flopy.utils.HeadFile(fpth)
newheaddata = headobj.get_data(idx=1)
return newheaddata
if __name__ == "__main__":
m1 = Modflow()
h1 = m1.run()
m2 = Modflow(rech_val=.0041)
h2 = m2.run()
assert np.array_equal(h1, h2), 'h1 does not equal h2'
Upvotes: 1