fix(mtssm): fix assumption that transient NSS data appears in first stress period

autotest/t068_test_ssm.py

@@ -0,0 +1,97 @@
+"""
+Test MT3D model creation and file writing
+"""
+
+import os
+import warnings
+import flopy
+import numpy as np
+
+
+def test_mt3d_ssm_with_nodata_in_1st_sp():
+    model_ws = os.path.join('.', 'temp', 't068')
+
+    nlay, nrow, ncol = 10, 10, 10
+    perlen = np.zeros((10), dtype=np.float) + 10
+    nper = len(perlen)
+
+    ibound = np.ones((nlay,nrow,ncol), dtype=np.int)
+
+    botm = np.arange(-1,-11,-1)
+    top = 0.
+
+    # creating MODFLOW model
+
+    model_ws = 'data'
+    modelname = 'ssm_ex2'
+
+    mf = flopy.modflow.Modflow(modelname, model_ws=model_ws, version='mfnwt')
+    dis = flopy.modflow.ModflowDis(mf, nlay=nlay, nrow=nrow, ncol=ncol, 
+                                   perlen=perlen, nper=nper, botm=botm, top=top, 
+                                   steady=False)
+
+    bas = flopy.modflow.ModflowBas(mf, ibound=ibound, strt=top)
+    upw = flopy.modflow.ModflowUpw(mf, hk=100, vka=100, ss=0.00001, sy=0.1)
+    oc = flopy.modflow.ModflowOc(mf)
+    nwt = flopy.modflow.ModflowNwt(mf)
+
+    # recharge
+    rchrate = {}
+    rchrate[0] = 0.0
+    rchrate[5] = 0.001
+    rchrate[6] = 0.0
+
+    rch = flopy.modflow.ModflowRch(mf, rech=rchrate, nrchop=3)
+
+    # define itype
+    itype = flopy.mt3d.Mt3dSsm.itype_dict()
+    ssm_data = {}
+
+    # Now for the point of this test: Enter SSM data sometime
+    # after the first stress period (this was crashing flopy
+    # version 3.2.13
+    ghb_data = {}
+    ghb_data[2] = [(4, 4, 4, 0.1, 1.5)]
+    ssm_data[2] = [(4, 4, 4, 1.0, itype['GHB'], 1.0, 100.0)]
+    ghb_data[5] = [(4, 4, 4, 0.25, 1.5)]
+    ssm_data[5] = [(4, 4, 4, 0.5, itype['GHB'], 0.5, 200.0)]
+
+    for k in range(nlay):
+        for i in range(nrow):
+            ghb_data[2].append((k, i, 0, 0.0, 100.0))
+            ssm_data[2].append((k, i, 0, 0.0, itype['GHB'], 0.0, 0.0))
+
+    ghb_data[5] = [(4, 4, 4, 0.25, 1.5)]
+    ssm_data[5] = [(4, 4, 4, 0.5, itype['GHB'], 0.5, 200.0)]
+    for k in range(nlay):
+        for i in range(nrow):
+            ghb_data[5].append((k, i, 0, -0.5, 100.0))
+            ssm_data[5].append((k, i, 0, 0.0, itype['GHB'], 0.0, 0.0))
+
+
+    ghb = flopy.modflow.ModflowGhb(mf, stress_period_data=ghb_data)
+
+    # create MT3D-USGS model
+    mt = flopy.mt3d.Mt3dms(modflowmodel=mf, modelname=modelname, model_ws=model_ws)
+    btn = flopy.mt3d.Mt3dBtn(mt, sconc=0, ncomp=2, sconc2=50.0)
+    adv = flopy.mt3d.Mt3dAdv(mt)
+    ssm = flopy.mt3d.Mt3dSsm(mt, stress_period_data=ssm_data)
+    gcg = flopy.mt3d.Mt3dGcg(mt)
+
+    # Write the output
+    mf.write_input()
+    mt.write_input()
+
+    # confirm that MT3D files exist
+    assert os.path.isfile(os.path.join(model_ws, '{}.{}'.format(mt.name, btn.extension[0]))) is True
+    assert os.path.isfile(os.path.join(model_ws, '{}.{}'.format(mt.name, adv.extension[0]))) is True
+    assert os.path.isfile(os.path.join(model_ws, '{}.{}'.format(mt.name, ssm.extension[0]))) is True
+    assert os.path.isfile(os.path.join(model_ws, '{}.{}'.format(mt.name, gcg.extension[0]))) is True
+
+    return
+
+
+if __name__ == '__main__':
+    test_mt3d_ssm_with_nodata_in_1st_sp()
+
+

flopy/mt3d/mtssm.py

@@ -195,6 +195,7 @@ def __init__(self, model, crch=None, cevt=None, mxss=None,
         ncol = model.ncol
         nlay = model.nlay
         ncomp = model.ncomp
+        nper = model.nper
 
         # Create a list of SsmPackage (class defined above)
         self.__SsmPackages = []
@@ -225,11 +226,18 @@ def __init__(self, model, crch=None, cevt=None, mxss=None,
         if mxss is None:
             # Need to calculate max number of sources and sinks
             self.mxss = 0
+            mxss_kper = 0
+
+            # Do not assume first key (stress period 0) has data, it may
+            # not.  Cycle through stress periods looking for one w/ data
             if self.stress_period_data is not None:
-                self.mxss += np.sum(
-                    self.stress_period_data.data[0].itype == -1)
-                self.mxss += np.sum(
-                    self.stress_period_data.data[0].itype == -15)
+                for i in range(nper):
+                    if i in self.stress_period_data.data:
+                        mxss_kper += np.sum(
+                            self.stress_period_data.data[i].itype == -1)
+                        mxss_kper += np.sum(
+                            self.stress_period_data.data[i].itype == -15)
+                    self.mxss = max(self.mxss, mxss_kper)
 
             if isinstance(self.parent.btn.icbund, np.ndarray):
                 self.mxss += (self.parent.btn.icbund < 0).sum()