def to_sfr(self, roughness=0.037, streambed_thickness=1, streambedK=1,
icalc=1,
iupseg=0, iprior=0, nstrpts=0, flow=0, runoff=0, etsw=0, pptsw=0,
roughch=0, roughbk=0, cdepth=0, fdepth=0, awdth=0, bwdth=0):
# create a working dataframe
self.df = self.fl[self.fl_cols].join(self.pfvaa[self.pfvaa_cols], how='inner')
print '\nclipping flowlines to active area...'
inside = [g.intersects(self.domain) for g in self.df.geometry]
self.df = self.df.ix[inside].copy()
self.df.sort('COMID', inplace=True)
flowline_geoms = self.df.geometry.tolist()
grid_geoms = self.grid.geometry.tolist()
print "intersecting flowlines with grid cells..."
grid_intersections = GISops.intersect_rtree(grid_geoms, flowline_geoms)
print "setting up segments..."
self.list_updown_comids()
self.assign_segments()
fl_segments = self.df.segment.tolist()
fl_comids = self.df.COMID.tolist()
m1 = make_mat1(flowline_geoms, fl_segments, fl_comids, grid_intersections, grid_geoms)
print "computing widths..."
m1['length'] = np.array([g.length for g in m1.geometry])
lengths = m1[['segment', 'length']].copy()
groups = lengths.groupby('segment')
reach_asums = np.concatenate([np.cumsum(grp.length.values[::-1])[::-1] for s, grp in groups])
segment_asums = np.array([self.df.ArbolateSu.values[s-1] for s in m1.segment.values])
reach_asums = -1 * self.to_km * reach_asums + segment_asums # arbolate sums are computed in km
width = width_from_arbolate(reach_asums) # widths are returned in m
if self.GISunits != 'm':
width = width / 0.3048
m1['width'] = width * self.mf_units_mult
m1['length'] = m1.length * self.mf_units_mult
m1['roughness'] = roughness
m1['sbthick'] = streambed_thickness
m1['sbK'] = streambedK
m1['sbtop'] = 0
if self.nrows is not None:
m1['row'] = np.floor(m1.node / self.ncols) + 1
if self.ncols is not None:
column = m1.node.values % self.ncols
column[column == 0] = self.ncols # last column has remainder of 0
m1['column'] = column
m1['layer'] = 1
self.m1 = m1
print "setting up Mat2..."
self.m2 = self.df[['segment', 'outseg']]
self.m2['icalc'] = icalc
self.m2.index = self.m2.segment
print 'Done'
def to_sfr(
self,
roughness=0.037,
streambed_thickness=1,
streambedK=1,
icalc=1,
iupseg=0,
iprior=0,
nstrpts=0,
flow=0,
runoff=0,
etsw=0,
pptsw=0,
roughch=0,
roughbk=0,
cdepth=0,
fdepth=0,
awdth=0,
bwdth=0,
):
# create a working dataframe
self.df = self.fl[self.fl_cols].join(self.pfvaa[self.pfvaa_cols], how="inner")
print "\nclipping flowlines to active area..."
inside = [g.intersects(self.domain) for g in self.df.geometry]
self.df = self.df.ix[inside].copy()
self.df.sort("COMID", inplace=True)
flowline_geoms = self.df.geometry.tolist()
grid_geoms = self.grid.geometry.tolist()
print "intersecting flowlines with grid cells..."
grid_intersections = GISops.intersect_rtree(grid_geoms, flowline_geoms)
print "setting up segments..."
self.list_updown_comids()
self.assign_segments()
fl_segments = self.df.segment.tolist()
fl_comids = self.df.COMID.tolist()
m1 = make_mat1(flowline_geoms, fl_segments, fl_comids, grid_intersections, grid_geoms)
print "computing widths..."
m1["length"] = np.array([g.length for g in m1.geometry])
lengths = m1[["segment", "length"]].copy()
groups = lengths.groupby("segment")
reach_asums = np.concatenate([np.cumsum(grp.length.values[::-1])[::-1] for s, grp in groups])
segment_asums = np.array([self.df.ArbolateSu.values[s - 1] for s in m1.segment.values])
reach_asums = -1 * self.to_km * reach_asums + segment_asums # arbolate sums are computed in km
width = width_from_arbolate(reach_asums) # widths are returned in m
if self.GISunits != "m":
width = width / 0.3048
m1["width"] = width * self.mf_units_mult
m1["length"] = m1.length * self.mf_units_mult
m1["roughness"] = roughness
m1["sbthick"] = streambed_thickness
m1["sbK"] = streambedK
m1["sbtop"] = 0
if self.nrows is not None:
m1["row"] = np.floor(m1.node / self.ncols) + 1
if self.ncols is not None:
column = m1.node.values % self.ncols
column[column == 0] = self.ncols # last column has remainder of 0
m1["column"] = column
m1["layer"] = 1
self.m1 = m1
print "setting up Mat2..."
self.m2 = self.df[["segment", "outseg"]]
self.m2["icalc"] = icalc
self.m2.index = self.m2.segment
print "Done"
print 'building UZF package IRUNBND array from {}'.format(MFgrid)
MFgrid_joined = GISio.shp2df(os.path.join(os.getcwd(),
'MFgrid_catchments.shp'),
geometry=True)
MFgrid_joined.index = MFgrid_joined.node
nrows, ncols = np.max(MFgrid_joined.row), np.max(MFgrid_joined.column)
# make new column of SFR segment for each grid cell
MFgrid_joined['segment'] = MFgrid_joined.FEATUREID.apply(
segments_dict.get).fillna(0)
print 'writing {}'.format(out_IRUNBND)
# should add code to allow for a dataframe that only includes a subset of model cells
# (could build a DF of zeros for each cellnum, and then merge with DF containing UZF cells, replacing the zeros for those cells
IRUNBND = np.reshape(MFgrid_joined['segment'].sort_index().values,
(nrows, ncols))
np.savetxt(out_IRUNBND, IRUNBND, fmt='%i', delimiter=' ')
print 'writing {}'.format(out_IRUNBND_shp)
#df, shpname, geo_column, prj
GISio.df2shp(MFgrid_joined, os.path.join(os.getcwd(), 'MFgrid_segments.shp'),
'geometry',
os.path.join(os.getcwd(), 'MFgrid_catchments.shp')[:-4] + '.prj')
MFgrid_joined_dissolved = GISops.dissolve_df(MFgrid_joined, 'segment')
GISio.df2shp(MFgrid_joined_dissolved,
os.path.join(os.getcwd(), 'MFgrid_segments_dissolved.shp'),
'geometry',
os.path.join(os.getcwd(), 'MFgrid_catchments.shp')[:-4] + '.prj')
segments_dict[cmt] = segment
# can also use values_count() to get a frequency table for segments (reaches) in each catchment
print 'building UZF package IRUNBND array from {}'.format(MFgrid)
MFgrid_joined = GISio.shp2df(os.path.join(os.getcwd(), 'MFgrid_catchments.shp'), geometry=True)
MFgrid_joined.index = MFgrid_joined.node
nrows, ncols = np.max(MFgrid_joined.row), np.max(MFgrid_joined.column)
# make new column of SFR segment for each grid cell
MFgrid_joined['segment'] = MFgrid_joined.FEATUREID.apply(segments_dict.get).fillna(0)
print 'writing {}'.format(out_IRUNBND)
# should add code to allow for a dataframe that only includes a subset of model cells
# (could build a DF of zeros for each cellnum, and then merge with DF containing UZF cells, replacing the zeros for those cells
IRUNBND = np.reshape(MFgrid_joined['segment'].sort_index().values, (nrows, ncols))
np.savetxt(out_IRUNBND, IRUNBND, fmt='%i', delimiter=' ')
print 'writing {}'.format(out_IRUNBND_shp)
#df, shpname, geo_column, prj
GISio.df2shp(MFgrid_joined,
os.path.join(os.getcwd(), 'MFgrid_segments.shp'),
'geometry',
os.path.join(os.getcwd(), 'MFgrid_catchments.shp')[:-4]+'.prj')
MFgrid_joined_dissolved = GISops.dissolve_df(MFgrid_joined, 'segment')
GISio.df2shp(MFgrid_joined_dissolved,
os.path.join(os.getcwd(), 'MFgrid_segments_dissolved.shp'),
'geometry',
os.path.join(os.getcwd(), 'MFgrid_catchments.shp')[:-4]+'.prj')
def join_SFR_out2streams(self, use_arcpy=True):
# get model info
try:
DX, DY, NLAY, NROW, NCOL, i = disutil.read_meta_data(self.DISfile)
except:
raise IOError("Cannot read MODFLOW DIS file {0}".format(self.DISfile))
print "\naggregating flow information by cellnum..."
indata = open(self.SFR_out).readlines()
for line in indata[8:]:
line = line.strip().split()
# Kludge! terminates with blank line (only reads stress per. 1)
# need to add support for transient.
if len(line) == 0:
break
r, c = int(line[1]), int(line[2])
cellnum = (r-1)*NCOL + c
seg_rch = "{0} {1}; ".format(line[3], line[4])
flow = 0.5 * (float(line[5]) + float(line[7]))
loss = float(line[6])
overland = float(line[8])
stage = float(line[11])
depth = float(line[12])
try:
existingflow = self.flow_by_cellnum[cellnum]
seg_rch_info = self.seg_rch_by_cellnum[cellnum]
except KeyError:
existingflow = 0
seg_rch_info = 'segs rchs: '
# determine state
if flow == 0:
state = 'dry'
elif loss > 0:
state = 'losing'
elif loss < 0:
state = 'gaining'
else:
print 'Stream reach in cell {} has flow, but no interaction with aquifer.'.format(cellnum)
self.flow_by_cellnum[cellnum] = existingflow + flow
self.seg_rch_by_cellnum[cellnum] = seg_rch_info + seg_rch
self.loss_by_cellnum[cellnum] = loss
self.state_by_cellnum[cellnum] = state
self.overland_by_cellnum[cellnum] = overland
self.stage_by_cellnum[cellnum] = stage
self.depth_by_cellnum[cellnum] = depth
# write to temporary output file
ofp = open(os.path.join(self.outpath, 'temp.csv'), 'w')
ofp.write('{},row,column,seg_reach,flow,loss,overland,state,stage,depth\n'.format(self.node_num_attribute))
for cn in self.flow_by_cellnum.keys():
ofp.write('{0},{1},{2},"{3}",{4:.6e},{5},{6},{7},{8},{9}\n'.format(cn, 1, 1,
self.seg_rch_by_cellnum[cn],
self.flow_by_cellnum[cn],
self.loss_by_cellnum[cn],
self.overland_by_cellnum[cn],
self.state_by_cellnum[cn],
self.stage_by_cellnum[cn],
self.depth_by_cellnum[cn]))
ofp.close()
outfile = os.path.join(self.outpath, "{0}.shp".format(self.SFR_out[:-4]))
if use_arcpy:
try:
import arcpy
import SFR_arcpy
except:
print 'module arcpy not found!'
# make feature/table layers
arcpy.env.workspace = self.outpath
arcpy.env.overwriteOutput = True
arcpy.CopyFeatures_management(self.streams_shp, self.streams_shp[:-4]+'_backup.shp')
arcpy.MakeFeatureLayer_management(self.streams_shp[:-4]+'_backup.shp', "streams")
arcpy.CopyRows_management(os.path.join(self.outpath, 'temp.csv'), os.path.join(self.outpath, 'temp.dbf'))
# drop all fields except for cellnum from stream linework
Fields = arcpy.ListFields("streams")
Fields = [f.name for f in Fields if f.name not in ["FID", "Shape", self.node_num_attribute]]
if len(Fields) > 0:
arcpy.DeleteField_management("streams", Fields)
SFR_arcpy.general_join(outfile, "streams", self.node_num_attribute, "temp.dbf", self.node_num_attribute, keep_common=True)
else:
import sys
sys.path.append('../../GIS_utils')
try:
import GISops
except:
print 'GIS_utils.GISops not found!'
GISops.join_csv2shp(self.streams_shp, self.node_num_attribute, os.path.join(self.outpath, 'temp.csv'), self.node_num_attribute, outfile, how='inner')
def join_SFR_out2streams(self, use_arcpy=True):
# get model info
try:
DX, DY, NLAY, NROW, NCOL, i = disutil.read_meta_data(self.DISfile)
except:
raise IOError("Cannot read MODFLOW DIS file {0}".format(
self.DISfile))
print "\naggregating flow information by cellnum..."
indata = open(self.SFR_out).readlines()
for line in indata[8:]:
line = line.strip().split()
# Kludge! terminates with blank line (only reads stress per. 1)
# need to add support for transient.
if len(line) == 0:
break
r, c = int(line[1]), int(line[2])
cellnum = (r - 1) * NCOL + c
seg_rch = "{0} {1}; ".format(line[3], line[4])
flow = 0.5 * (float(line[5]) + float(line[7]))
loss = float(line[6])
overland = float(line[8])
stage = float(line[11])
depth = float(line[12])
try:
existingflow = self.flow_by_cellnum[cellnum]
seg_rch_info = self.seg_rch_by_cellnum[cellnum]
except KeyError:
existingflow = 0
seg_rch_info = 'segs rchs: '
# determine state
if flow == 0:
state = 'dry'
elif loss > 0:
state = 'losing'
elif loss < 0:
state = 'gaining'
else:
print 'Stream reach in cell {} has flow, but no interaction with aquifer.'.format(
cellnum)
self.flow_by_cellnum[cellnum] = existingflow + flow
self.seg_rch_by_cellnum[cellnum] = seg_rch_info + seg_rch
self.loss_by_cellnum[cellnum] = loss
self.state_by_cellnum[cellnum] = state
self.overland_by_cellnum[cellnum] = overland
self.stage_by_cellnum[cellnum] = stage
self.depth_by_cellnum[cellnum] = depth
# write to temporary output file
ofp = open(os.path.join(self.outpath, 'temp.csv'), 'w')
ofp.write(
'{},row,column,seg_reach,flow,loss,overland,state,stage,depth\n'.
format(self.node_num_attribute))
for cn in self.flow_by_cellnum.keys():
ofp.write('{0},{1},{2},"{3}",{4:.6e},{5},{6},{7},{8},{9}\n'.format(
cn, 1, 1, self.seg_rch_by_cellnum[cn],
self.flow_by_cellnum[cn], self.loss_by_cellnum[cn],
self.overland_by_cellnum[cn], self.state_by_cellnum[cn],
self.stage_by_cellnum[cn], self.depth_by_cellnum[cn]))
ofp.close()
outfile = os.path.join(self.outpath,
"{0}.shp".format(self.SFR_out[:-4]))
if use_arcpy:
try:
import arcpy
import SFR_arcpy
except:
print 'module arcpy not found!'
# make feature/table layers
arcpy.env.workspace = self.outpath
arcpy.env.overwriteOutput = True
arcpy.CopyFeatures_management(
self.streams_shp, self.streams_shp[:-4] + '_backup.shp')
arcpy.MakeFeatureLayer_management(
self.streams_shp[:-4] + '_backup.shp', "streams")
arcpy.CopyRows_management(os.path.join(self.outpath, 'temp.csv'),
os.path.join(self.outpath, 'temp.dbf'))
# drop all fields except for cellnum from stream linework
Fields = arcpy.ListFields("streams")
Fields = [
f.name for f in Fields
if f.name not in ["FID", "Shape", self.node_num_attribute]
]
if len(Fields) > 0:
arcpy.DeleteField_management("streams", Fields)
SFR_arcpy.general_join(outfile,
"streams",
self.node_num_attribute,
"temp.dbf",
self.node_num_attribute,
keep_common=True)
else:
import sys
sys.path.append('../../GIS_utils')
try:
import GISops
except:
print 'GIS_utils.GISops not found!'
GISops.join_csv2shp(self.streams_shp,
self.node_num_attribute,
os.path.join(self.outpath, 'temp.csv'),
self.node_num_attribute,
outfile,
how='inner')
def to_sfr(self, roughness=0.037, streambed_thickness=1, streambedK=1,
icalc=1,
iupseg=0, iprior=0, nstrpts=0, flow=0, runoff=0, etsw=0, pptsw=0,
roughch=0, roughbk=0, cdepth=0, fdepth=0, awdth=0, bwdth=0):
# create a working dataframe
self.df = self.fl[self.fl_cols].join(self.pfvaa[self.pfvaa_cols], how='inner')
# bring in elevations from elevslope table
self.df = self.df.join(self.elevs[['Max', 'Min']], how='inner')
print('\nclipping flowlines to active area...')
inside = np.array([g.intersects(self.domain) for g in self.df.geometry])
self.df = self.df.ix[inside].copy()
self.df.sort_values(by='COMID', inplace=True)
flowline_geoms = [g.intersection(self.domain) for g in self.df.geometry]
grid_geoms = self.grid.geometry.tolist()
print("intersecting flowlines with grid cells...") # this part crawls in debug mode
grid_intersections = GISops.intersect_rtree(grid_geoms, flowline_geoms)
print("setting up segments... (may take a few minutes for large networks)")
ta = time.time()
self.list_updown_comids()
self.assign_segments()
fl_segments = self.df.segment.tolist()
fl_comids = self.df.COMID.tolist()
print("finished in {:.2f}s\n".format(time.time() - ta))
print("setting up reaches and Mat1... (may take a few minutes for large grids)")
ta = time.time()
m1 = make_mat1(flowline_geoms, fl_segments, fl_comids, grid_intersections, grid_geoms)
print("finished in {:.2f}s\n".format(time.time() - ta))
print("computing widths...")
m1['length'] = np.array([g.length for g in m1.geometry])
lengths = m1[['segment', 'length']].copy()
groups = lengths.groupby('segment')
# compute arbolate sum at reach midpoints
reach_asums = np.concatenate([np.cumsum(grp.length.values[::-1])[::-1] - 0.5*grp.length.values
for s, grp in groups])
segment_asums = np.array([self.df.ArbolateSu.values[s-1] for s in m1.segment.values])
reach_asums = -1 * self.to_km * reach_asums + segment_asums # arbolate sums are computed in km
width = width_from_arbolate(reach_asums) # widths are returned in m
if self.GISunits != 'm':
width = width / 0.3048
print("multiplying length units by {} to convert from GIS to MODFLOW...".format(self.mf_units_mult))
m1['width'] = width * self.mf_units_mult
m1['length'] = m1.length * self.mf_units_mult
m1['roughness'] = roughness
m1['sbthick'] = streambed_thickness
m1['sbK'] = streambedK
m1['sbtop'] = 0
if self.nrows is not None:
m1['row'] = np.floor(m1.node / self.ncols) + 1
if self.ncols is not None:
column = m1.node.values % self.ncols
column[column == 0] = self.ncols # last column has remainder of 0
m1['column'] = column
m1['layer'] = 1
self.m1 = m1
print("\nsetting up Mat2...")
ta = time.time()
self.m2 = self.df[['segment', 'outseg', 'Max', 'Min']].copy()
self.m2['icalc'] = icalc
self.renumber_segments() # enforce best segment numbering
self.m2.index = self.m2.segment
print("finished in {:.2f}s\n".format(time.time() - ta))
# add outseg information to Mat1
self.m1['outseg'] = [self.m2.outseg[s] for s in self.m1.segment]
self.m1.sort_values(by=['segment', 'reach'], inplace=True)
print('\nDone creating SFR dataset.')
