# create columns in Mat2 of Min and Max elevation for each segment
# (these columns are not created by sfr_classes.py)
sfr.update_Mat2_elevations()
# update the reach elevations in Mat1 with minimum elevations from DEM
sfr.reset_m1_streambed_top_from_dem(dem=path + 'forsy_lid')
# trace routing from headwater segments to outlets; assign outlet to each segment
sfr.map_outsegs()
# creates table of segment confluences
sfr.map_confluences()
# smooth DEM elevations in segment interiors so that they decrease in downstream direction
sfr.smooth_interior_elevations()
# read in the DIS file (this is needed for some of the methods below;
# e.g. model top elevations are added to the stream profiles by default)
sfr.read_dis2(mfdis='Forsy.DIS', mfnam='ForsySFRMaker.nam')
# plot profiles of streambed elevations in comparison to model top and DEM minimum
sfr.plot_stream_profiles(add_profiles={'Minimum DEM elevation': 'landsurface'})
# enforce only one SFR conductance for each model cell
# (other reaches in cell assigned near-zero conductance)
sfr.consolidate_conductance()
# adjust model grid so that all SFR reaches are in layer 1
# outputs a new DIS file for model
sfr.reset_model_top_2streambed(outdisfile='Forsy_adjusted_to_streambed.dis')
# assign streambed tops from the minimum DEM elevations in the model cell sfr.reset_m1_streambed_top_from_dem(dem, dem_units_mult=dem_units_mult) # Often the NHDPlus elevations don't match DEM at scales below 100k. # reset the segment end elevations to the minimum dem elevation # encountered in the end reach and all reaches upstream # (to use the NHDPlus elevations for the segment ends, comment this out) sfr.reset_segment_ends_from_dem() # Create array listing all unique segment sequences from headwaters to outlet # used by other methods, and ensures that there is no circular routing sfr.map_outsegs() # Remove any bumps in the DEM elevations, # so that interior elevations in the segments always decrease in the downstream direction sfr.smooth_interior_elevations() # Create a PDF showing the elevation profile of each unique segment sequence, # in comparison to the mean DEM elevation in each cell along the profile # Note: this is optional but allows for inspection to verify that the elevations are reasonable # on large networks (with thousands of sequences) this step may take an hour or two. sfr.plot_stream_profiles() # In cells with multiple SFR reaches (at confluences), put all conductance in the dominant reach # (to avoid circular routing) sfr.consolidate_conductance() # Put all SFR reaches in layer 1, and adjust layer bottoms in SFR cells accordingly, # so that no streambed bottoms are below the bottom of layer 1, and # so that there are no cell thicknesses less than 1 # Note: This produces a new MODFLOW DIS file with the suffix "_adjusted to streambed.dis"
def test_example():
# shapefiles defining the model grid, and the area that will include SFR
mf_grid = '../Examples/data/grid.shp'
mf_domain = '../Examples/data/domain.shp'
# NHDPlus input files (see the input requirements in the SFRmaker readme file
# (Note that multiple datasets can be supplied as lists;
# when the SFR area covers multiple drainage basins)
pfvaa_files = ['../Examples/data/PlusFlowlineVAA.dbf']
plusflow_files = ['../Examples/data/PlusFlow.dbf']
elevslope_files = ['../Examples/data/elevslope.dbf']
flowlines = ['../Examples/data/NHDFlowlines.shp']
# dem used for streambed elevations
dem = '../Examples/data/dem.tif'
dem_units_mult = 1. # convert dem elevation units to modflow units
ta = time.time()
# Read in the NHD datasets
nhd = NHDdata(NHDFlowline=flowlines,
PlusFlowlineVAA=pfvaa_files,
PlusFlow=plusflow_files,
elevslope=elevslope_files,
mf_grid=mf_grid,
mf_units='feet',
model_domain=mf_domain)
# Setup the segments, reaches, and other basic SFR parameters
nhd.to_sfr()
# Write out this information to Mat1 and Mat2 tables
nhd.write_tables(basename='temp/example')
# Write out a shapefile that has the SFR linework
nhd.write_linework_shapefile(basename='temp/SFRlines')
print("preproc finished in {:.2f}s\n".format(time.time() - ta))
# Mat 1 and Mat2 files generated from preproc.py above
m1 = 'temp/exampleMat1.csv'
m2 = 'temp/exampleMat2.csv'
# Read in Mat1 and Mat2 into an SFRdata object (postproc module)
# also include MODFLOW DIS file, NAM file, and path to model datasets
sfr = SFRdata(Mat1=m1,
Mat2=m2,
mfgridshp=mf_grid,
mfdis='example.dis',
mfpath='temp',
mfnam='example.nam')
# For interior stream reaches (not at the ends of segments),
# assign streambed tops from the minimum DEM elevations in the model cell
sfr.reset_m1_streambed_top_from_dem(dem, dem_units_mult=dem_units_mult)
# Often the NHDPlus elevations don't match DEM at scales below 100k.
# reset the segment end elevations to the minimum dem elevation
# encountered in the end reach and all reaches upstream
# (to use the NHDPlus elevations for the segment ends, comment this out)
sfr.reset_segment_ends_from_dem()
# Create array listing all unique segment sequences from headwaters to outlet
# used by other methods, and ensures that there is no circular routing
sfr.map_outsegs()
# Remove any bumps in the DEM elevations,
# so that interior elevations in the segments always decrease in the downstream direction
sfr.smooth_interior_elevations()
# Create a PDF showing the elevation profile of each unique segment sequence,
# in comparison to the mean DEM elevation in each cell along the profile
# Note: this is optional but allows for inspection to verify that the elevations are reasonable
# on large networks (with thousands of sequences) this step may take an hour or two.
sfr.plot_stream_profiles()
# In cells with multiple SFR reaches (at confluences), put all conductance in the dominant reach
# (to avoid circular routing)
sfr.consolidate_conductance()
# Put all SFR reaches in layer 1, and adjust layer bottoms in SFR cells accordingly,
# so that no streambed bottoms are below the bottom of layer 1, and
# so that there are no cell thicknesses less than 1
# Note: This produces a new MODFLOW DIS file with the suffix "_adjusted to streambed.dis"
# (unless another suffix is specified)
sfr.reset_model_top_2streambed(minimum_thickness=1)
# write out a shapefile of the SFR dataset
sfr.write_shapefile('temp/SFR_package.shp')
# write out updated Mat1 and Mat2 tables
sfr.write_tables(basename='temp/example_pp_')
# write the SFR package file
sfr.write_sfr_package(basename='temp/example')
# flopy now includes an SFR module, with a checker
# run the flopy suite of diagnostics
import flopy
m = flopy.modflow.Modflow.load('example.nam', model_ws='temp')
#dis = flopy.modflow.ModflowDis.load('ozarkgwmod/3-Input/A-calibration/ozark_adjusted_to_streambed.dis', m)
sfr = flopy.modflow.ModflowSfr2.load('temp/example.sfr', m)
sfr.check(f='flopy_SFR_check')
def test_example():
# shapefiles defining the model grid, and the area that will include SFR
mf_grid = '../Examples/data/grid.shp'
mf_domain = '../Examples/data/domain.shp'
# NHDPlus input files (see the input requirements in the SFRmaker readme file
# (Note that multiple datasets can be supplied as lists;
# when the SFR area covers multiple drainage basins)
pfvaa_files = ['../Examples/data/PlusFlowlineVAA.dbf']
plusflow_files = ['../Examples/data/PlusFlow.dbf']
elevslope_files = ['../Examples/data/elevslope.dbf']
flowlines = ['../Examples/data/NHDFlowlines.shp']
# dem used for streambed elevations
dem = '../Examples/data/dem.tif'
dem_units_mult = 1. # convert dem elevation units to modflow units
ta = time.time()
# Read in the NHD datasets
nhd = NHDdata(NHDFlowline=flowlines, PlusFlowlineVAA=pfvaa_files, PlusFlow=plusflow_files,
elevslope=elevslope_files,
mf_grid=mf_grid, mf_units='feet',
model_domain=mf_domain)
# Setup the segments, reaches, and other basic SFR parameters
nhd.to_sfr()
# Write out this information to Mat1 and Mat2 tables
nhd.write_tables(basename='temp/example')
# Write out a shapefile that has the SFR linework
nhd.write_linework_shapefile(basename='temp/SFRlines')
print("preproc finished in {:.2f}s\n".format(time.time() - ta))
# Mat 1 and Mat2 files generated from preproc.py above
m1 = 'temp/exampleMat1.csv'
m2 = 'temp/exampleMat2.csv'
# Read in Mat1 and Mat2 into an SFRdata object (postproc module)
# also include MODFLOW DIS file, NAM file, and path to model datasets
sfr = SFRdata(Mat1=m1, Mat2=m2, mfgridshp=mf_grid,
mfdis='example.dis', mfpath='temp',
mfnam='example.nam')
# For interior stream reaches (not at the ends of segments),
# assign streambed tops from the minimum DEM elevations in the model cell
sfr.reset_m1_streambed_top_from_dem(dem, dem_units_mult=dem_units_mult)
# Often the NHDPlus elevations don't match DEM at scales below 100k.
# reset the segment end elevations to the minimum dem elevation
# encountered in the end reach and all reaches upstream
# (to use the NHDPlus elevations for the segment ends, comment this out)
sfr.reset_segment_ends_from_dem()
# Create array listing all unique segment sequences from headwaters to outlet
# used by other methods, and ensures that there is no circular routing
sfr.map_outsegs()
# Remove any bumps in the DEM elevations,
# so that interior elevations in the segments always decrease in the downstream direction
sfr.smooth_interior_elevations()
# Create a PDF showing the elevation profile of each unique segment sequence,
# in comparison to the mean DEM elevation in each cell along the profile
# Note: this is optional but allows for inspection to verify that the elevations are reasonable
# on large networks (with thousands of sequences) this step may take an hour or two.
sfr.plot_stream_profiles()
# In cells with multiple SFR reaches (at confluences), put all conductance in the dominant reach
# (to avoid circular routing)
sfr.consolidate_conductance()
# Put all SFR reaches in layer 1, and adjust layer bottoms in SFR cells accordingly,
# so that no streambed bottoms are below the bottom of layer 1, and
# so that there are no cell thicknesses less than 1
# Note: This produces a new MODFLOW DIS file with the suffix "_adjusted to streambed.dis"
# (unless another suffix is specified)
sfr.reset_model_top_2streambed(minimum_thickness=1)
# write out a shapefile of the SFR dataset
sfr.write_shapefile('temp/SFR_package.shp')
# write out updated Mat1 and Mat2 tables
sfr.write_tables(basename='temp/example_pp_')
# write the SFR package file
sfr.write_sfr_package(basename='temp/example')
# flopy now includes an SFR module, with a checker
# run the flopy suite of diagnostics
import flopy
m = flopy.modflow.Modflow.load('example.nam', model_ws='temp')
#dis = flopy.modflow.ModflowDis.load('ozarkgwmod/3-Input/A-calibration/ozark_adjusted_to_streambed.dis', m)
sfr = flopy.modflow.ModflowSfr2.load('temp/example.sfr', m)
sfr.check(f='flopy_SFR_check')