Exemple #1
0
z = []
z.append(z0)
z.append(z1)
ssz = 0.2
isource = np.ones((nrow, ncol), 'int')
isource[0, 0] = 2

# stratified model
modelname = 'swiex2_strat'
print('creating...', modelname)
ml = mf.Modflow(modelname, version='mf2005', exe_name=mf_name, model_ws=dirs[0])
discret = mf.ModflowDis(ml, nlay=1, ncol=ncol, nrow=nrow, delr=delr, delc=1, top=0, botm=[-40.0],
                        nper=nper, perlen=perlen, nstp=nstp)
bas = mf.ModflowBas(ml, ibound=ibound, strt=0.05)
bcf = mf.ModflowBcf(ml, laycon=0, tran=2 * 40)
swi = mf.ModflowSwi2(ml, nsrf=nsurf, istrat=1, toeslope=0.2, tipslope=0.2, nu=[0, 0.0125, 0.025],
                     zeta=z, ssz=ssz, isource=isource, nsolver=1)
oc = mf.ModflowOc88(ml, save_head_every=1000)
pcg = mf.ModflowPcg(ml)
ml.write_input()
# run stratified model
if not skipRuns:
    m = ml.run_model(silent=False)
# read stratified results
zetafile = os.path.join(dirs[0], '{}.zta'.format(modelname))
zobj = fu.CellBudgetFile(zetafile)
zkstpkper = zobj.get_kstpkper()
zeta = zobj.get_data(kstpkper=zkstpkper[-1], text='      ZETASRF  1')[0]
zeta2 = zobj.get_data(kstpkper=zkstpkper[-1], text='      ZETASRF  2')[0]
#
# vd model
modelname = 'swiex2_vd'
Exemple #2
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    ocdict[key] = ['save head', 'save budget']
    key = (0, idx+1)  
    ocdict[key] = []  


# create flopy modflow object
ml = mf.Modflow(modelname, version='mf2005', exe_name=exe_name)
# create flopy modflow package objects
discret = mf.ModflowDis(ml, nlay=nlay, nrow=nrow, ncol=ncol,
                        delr=delr, delc=delc,
                        top=0, botm=[-40.0],
                        perlen=400, nstp=200)
bas = mf.ModflowBas(ml, ibound=ibound, strt=0.0)
lpf = mf.ModflowLpf(ml, hk=2., vka=2.0, vkcb=0, laytyp=0, layavg=0)
wel = mf.ModflowWel(ml, stress_period_data={0:[(0, 0, 0, 1)]})
swi = mf.ModflowSwi2(ml, npln=1, istrat=1, toeslope=0.2, tipslope=0.2, nu=[0, 0.025],
                     zeta=z, ssz=0.2, isource=isource, nsolver=1)
oc = mf.ModflowOc(ml, stress_period_data=ocdict)
pcg = mf.ModflowPcg(ml)
# create model files
ml.write_input()
# run the model
m = ml.run_model(silent=False)
# read model heads
headfile = '{}.hds'.format(modelname)
hdobj = fu.HeadFile(headfile)
head = hdobj.get_alldata()
head = np.array(head)
# read model zeta
zetafile = '{}.zta'.format(modelname)
zobj = fu.CellBudgetFile(zetafile)
zkstpkper = zobj.get_kstpkper()
Exemple #3
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                        botm=[-29, -30, -50],
                        nper=2,
                        perlen=[365 * 1000, 1000 * 365],
                        nstp=[500, 500])
bas = mf.ModflowBas(ml, ibound=1, strt=1.0)
bcf = mf.ModflowBcf(ml,
                    laycon=[0, 0, 0],
                    tran=[40.0, 1, 80.0],
                    vcont=[0.005, 0.005])
wel = mf.ModflowWel(ml, stress_period_data={0: lrcQ1, 1: lrcQ2})
ghb = mf.ModflowGhb(ml, stress_period_data={0: lrchc})
swi = mf.ModflowSwi2(ml,
                     nsrf=1,
                     istrat=1,
                     toeslope=0.01,
                     tipslope=0.04,
                     nu=[0, 0.025],
                     zeta=[zini, zini, zini],
                     ssz=0.2,
                     isource=iso,
                     nsolver=1)
oc = mf.ModflowOc(ml, save_head_every=100)
pcg = mf.ModflowPcg(ml)
#--write the model files
ml.write_input()
#--run the model
m = ml.run_model(silent=True)

headfile = '{}.hds'.format(modelname)
hdobj = fu.HeadFile(headfile)
head = hdobj.get_data(totim=3.65000E+05)
Exemple #4
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            savewords.append(twords)
solver2params = {'mxiter': 100, 'iter1': 20, 'npcond': 1, 'zclose': 1.0e-6, 'rclose': 3e-3, 'relax': 1.0,
                 'nbpol': 2, 'damp': 1.0, 'dampt': 1.0}

# --create model file and run model
modelname = 'swi2ex5'
mf_name = 'mf2005'
if not skipRuns:
    ml = mf.Modflow(modelname, version='mf2005', exe_name=mf_name, model_ws=dirs[0])
    discret = mf.ModflowDis(ml, nrow=nrow, ncol=ncol, nlay=nlay, delr=delr, delc=delc,
                            top=0, botm=bot, laycbd=0, nper=nper,
                            perlen=perlen, nstp=nstp, steady=steady)
    bas = mf.ModflowBas(ml, ibound=ibound, strt=ihead)
    lpf = mf.ModflowLpf(ml, hk=kh, vka=kv, ss=ss, sy=ssz, vkcb=0, laytyp=0, layavg=1)
    wel = mf.ModflowWel(ml, stress_period_data=well_data)
    swi = mf.ModflowSwi2(ml, npln=1, istrat=1, toeslope=0.025, tipslope=0.025, nu=[0, 0.025], \
                         zeta=z, ssz=ssz, isource=isource, nsolver=2, solver2params=solver2params)
    oc = mf.ModflowOc(ml, words=savewords)
    pcg = mf.ModflowPcg(ml, hclose=1.0e-6, rclose=3.0e-3, mxiter=100, iter1=50)
    # --write the modflow files
    ml.write_input()
    m = ml.run_model(silent=False)

# --read model zeta
get_stp = [364, 729, 1094, 1459, 364, 729, 1094, 1459]
get_per = [0, 0, 0, 0, 1, 1, 1, 1]
nswi_times = len(get_per)
zetafile = os.path.join(dirs[0], '{}.zta'.format(modelname))
zobj = fu.CellBudgetFile(zetafile)
zeta = []
for kk in zip(get_stp, get_per):
    zeta.append(zobj.get_data(kstpkper=kk, text='      ZETASRF  1')[0])
Exemple #5
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                            nstp=nstp,
                            steady=steady)
    bas = mf.ModflowBas(ml, ibound=ibound, strt=ihead)
    lpf = mf.ModflowLpf(ml, laytyp=laytyp, hk=hk, vka=vka)
    wel = mf.ModflowWel(ml, stress_period_data=base_well_data)
    ghb = mf.ModflowGhb(ml, stress_period_data=ghb_data)
    rch = mf.ModflowRch(ml, rech=rch_data)
    swi = mf.ModflowSwi2(ml,
                         nsrf=1,
                         istrat=1,
                         toeslope=toeslope,
                         tipslope=tipslope,
                         nu=nu,
                         zeta=z,
                         ssz=ssz,
                         isource=iso,
                         nsolver=1,
                         adaptive=adaptive,
                         nadptmx=nadptmx,
                         nadptmn=nadptmn,
                         nobs=nobs,
                         iswiobs=iswiobs,
                         obsnam=obsnam,
                         obslrc=obslrc)
    oc = mf.ModflowOc(ml, words=savewords)
    pcg = mf.ModflowPcg(ml, hclose=1.0e-6, rclose=3.0e-3, mxiter=100, iter1=50)
    #--create model files
    ml.write_input()
    #--run the model
    m = ml.run_model(silent=False)