def setUpClass(cls):
"""Create a not empty table instance"""
from grass.pygrass.modules.shortcuts import general as g
cls.name = 'elevation'
cls.tmp = 'tmp' + cls.name
g.copy(rast=[cls.name, cls.tmp], overwrite=True)
def setUpClass(cls):
"""Create a not empty table instance"""
from grass.pygrass.modules.shortcuts import general as g
cls.name = 'elevation'
cls.tmp = 'tmp' + cls.name
g.copy(rast=[cls.name, cls.tmp], overwrite=True)
def sbare():
rsoillossreclass.flags.u = True
rsoillossreclass(maps['soillossbare'].name, 'soillossbare',flags='')
if flag_s:
print('\n \n Statistics for soilloss <%s> : '%(soillossbaremap.name))
rsoillossstats(soilloss=soillossbaremap.name,
map=parcelmap.name, parcelnumcol='id')
if not flag_c:
g.copy(rast=(soillossbaremap.name,output))
gscript.message('Copy made to <%s> for automatic output' %(output))
def scpmax():
if soillossbarecorrmap.exist():
rsoillosscpmax.inputs.soillossbare = soillossbarecorrmap.name
else: rsoillosscpmax.inputs.soillossbare = soillossbaremap.name
rsoillosscpmax.inputs.maxsoilloss=maxsoilloss
rsoillosscpmax(cpmax=soillosscpmaxmap.name)
if not flag_c:
g.copy(rast=(soillosscpmaxmap.name,output))
gscript.message('Copy made to <%s> for automatic output' %(output))
if flag_s:
print('\n \n Statistics for <%s> : '%(soillosscpmaxmap))
rsoillossstats(soilloss=soillosscpmaxmap.name, map=parcelmap.name, parcelnumcol='id')
def sbareupdate():
rsoillossupdate.inputs.map = parcelmap.name
rsoillossupdate.inputs.factorold = maps['kfactor'].name
rsoillossupdate.inputs.factorcol = 'kfactor'
rsoillossupdate.flags.k = True
rsoillossupdate.flags.p = True
rsoillossupdate(soillossin=maps['soillossbare'].name,
soillossout=soillossbarecorrmap.name)
gscript.message('Soilloss for bare soil successfully updated to <%s> using parcelwise kfactor.' %(soillossbarecorrmap.name))
if not flag_c:
g.copy(rast=(soillossbarecorrmap.name,output))
gscript.message('Copy made to <%s> for automatic output' %(output))
rsoillossreclass(soillossbarecorrmap.name, 'soillossbare',flags='')
gscript.message('Reclassified and colored maps found in <%s.3> and <%s.9> .'%(soillossbarecorrmap.name, soillossbarecorrmap.name))
if flag_s:
print('\n \n Statistics for soilloss on bare soil <%s> : '%(soillossgrowmap))
rsoillossstats(soilloss=soillossbarecorrmap.name, map=parcelmap.name, parcelnumcol='id')
def sgrow():
if soillossbarecorrmap.exist():
rsoillossgrow.inputs.soillossbare = soillossbarecorrmap.name
else: rsoillossgrow.inputs.soillossbare = soillossbaremap.name
rsoillossgrow.inputs.map = parcelmap.name
rsoillossgrow.inputs.factorcols = (params['colnames'][('cfactor')],)
rsoillossgrow.inputs.factorcols += (params['colnames'][('pfactor')],)
rsoillossgrow(soillossgrow=soillossgrowmap.name)
gscript.message('Soilloss for grown soil successfully calculated to <%s> using parcelwise C and P factor.' %(soillossgrowmap))
if not flag_c:
g.copy(rast=(soillossgrowmap.name,output))
gscript.message('Copy made to <%s> for automatic output' %(output))
rsoillossreclass(soillossgrowmap.name, 'soillossgrow',flags='')
gscript.message('Reclassified and colored maps found in <%s.3> and <%s.9> .'%(soillossgrowmap.name, soillossgrowmap.name))
if flag_s:
print('\n \n Statistics for soilloss on grown soil <%s> : '%(soillossgrowmap))
rsoillossstats(soilloss=soillossgrowmap.name, map=parcelmap.name, parcelnumcol='id')
def main():
"""
Adds GSFLOW parameters to a set of HRU sub-basins
"""
##################
# OPTION PARSING #
##################
options, flags = gscript.parser()
basins = options['input']
HRU = options['output']
slope = options['slope']
aspect = options['aspect']
elevation = options['elevation']
land_cover = options['cov_type']
soil = options['soil_type']
################################
# CREATE HRUs FROM SUB-BASINS #
################################
g.copy(vector=(basins,HRU), overwrite=gscript.overwrite())
############################################
# ATTRIBUTE COLUMNS (IN ORDER FROM MANUAL) #
############################################
# HRU
hru_columns = []
# Self ID
hru_columns.append('id integer') # nhru
# Basic Physical Attributes (Geometry)
hru_columns.append('hru_area double precision') # acres (!!!!)
hru_columns.append('hru_area_m2 double precision') # [not for GSFLOW: for me!]
hru_columns.append('hru_aspect double precision') # Mean aspect [degrees]
hru_columns.append('hru_elev double precision') # Mean elevation
hru_columns.append('hru_lat double precision') # Latitude of centroid
hru_columns.append('hru_lon double precision') # Longitude of centroid
# unnecessary but why not?
hru_columns.append('hru_slope double precision') # Mean slope [percent]
# Basic Physical Attributes (Other)
#hru_columns.append('hru_type integer') # 0=inactive; 1=land; 2=lake; 3=swale; almost all will be 1
#hru_columns.append('elev_units integer') # 0=feet; 1=meters. 0=default. I think I will set this to 1 by default.
# Measured input
hru_columns.append('outlet_sta integer') # Index of streamflow station at basin outlet:
# station number if it has one, 0 if not
# Note that the below specify projections and note lat/lon; they really seem
# to work for any projected coordinates, with _x, _y, in meters, and _xlong,
# _ylat, in feet (i.e. they are just northing and easting). The meters and feet
# are not just simple conversions, but actually are required for different
# modules in the code, and are hence redundant but intentional.
hru_columns.append('hru_x double precision') # Easting [m]
hru_columns.append('hru_xlong double precision') # Easting [feet]
hru_columns.append('hru_y double precision') # Northing [m]
hru_columns.append('hru_ylat double precision') # Northing [feet]
# Streamflow and lake routing
hru_columns.append('K_coef double precision') # Travel time of flood wave to next downstream segment;
# this is the Muskingum storage coefficient
# 1.0 for reservoirs, diversions, and segments flowing
# out of the basin
hru_columns.append('x_coef double precision') # Amount of attenuation of flow wave;
# this is the Muskingum routing weighting factor
# range: 0.0--0.5; default 0.2
# 0 for all segments flowing out of the basin
hru_columns.append('hru_segment integer') # ID of stream segment to which flow will be routed
# this is for non-cascade routing (flow goes directly
# from HRU to stream segment)
hru_columns.append('obsin_segment integer') # Index of measured streamflow station that replaces
# inflow to a segment
hru_columns.append('cov_type integer') # 0=bare soil;1=grasses; 2=shrubs; 3=trees; 4=coniferous
hru_columns.append('soil_type integer') # 1=sand; 2=loam; 3=clay
# Create strings
hru_columns = ",".join(hru_columns)
# Add columns to tables
v.db_addcolumn(map=HRU, columns=hru_columns, quiet=True)
###########################
# UPDATE DATABASE ENTRIES #
###########################
colNames = np.array(gscript.vector_db_select(HRU, layer=1)['columns'])
colValues = np.array(gscript.vector_db_select(HRU, layer=1)['values'].values())
number_of_hrus = colValues.shape[0]
cats = colValues[:,colNames == 'cat'].astype(int).squeeze()
rnums = colValues[:,colNames == 'rnum'].astype(int).squeeze()
nhru = np.arange(1, number_of_hrus + 1)
nhrut = []
for i in range(len(nhru)):
nhrut.append( (nhru[i], cats[i]) )
# Access the HRUs
hru = VectorTopo(HRU)
# Open the map with topology:
hru.open('rw')
# Create a cursor
cur = hru.table.conn.cursor()
# Use it to loop across the table
cur.executemany("update "+HRU+" set id=? where cat=?", nhrut)
# Commit changes to the table
hru.table.conn.commit()
# Close the table
hru.close()
"""
# Do the same for basins <-------------- DO THIS OR SIMPLY HAVE HRUs OVERLAIN WITH GRID CELLS? IN THIS CASE, RMV AREA ADDITION TO GRAVRES
v.db_addcolumn(map=basins, columns='id int', quiet=True)
basins = VectorTopo(basins)
basins.open('rw')
cur = basins.table.conn.cursor()
cur.executemany("update basins set id=? where cat=?", nhrut)
basins.table.conn.commit()
basins.close()
"""
# if you want to append to table
# cur.executemany("update HRU(id) values(?)", nhrut) # "insert into" will add rows
#hru_columns.append('hru_area double precision')
# Acres b/c USGS
v.to_db(map=HRU, option='area', columns='hru_area', units='acres', quiet=True)
v.to_db(map=HRU, option='area', columns='hru_area_m2', units='meters', quiet=True)
# GET MEAN VALUES FOR THESE NEXT ONES, ACROSS THE BASIN
# SLOPE (and aspect)
#####################
v.rast_stats(map=HRU, raster=slope, method='average', column_prefix='tmp', flags='c', quiet=True)
v.db_update(map=HRU, column='hru_slope', query_column='tmp_average', quiet=True)
# ASPECT
#########
v.db_dropcolumn(map=HRU, columns='tmp_average', quiet=True)
# Dealing with conversion from degrees (no good average) to something I can
# average -- x- and y-vectors
# Geographic coordinates, so sin=x, cos=y.... not that it matters so long
# as I am consistent in how I return to degrees
r.mapcalc('aspect_x = sin(' + aspect + ')', overwrite=gscript.overwrite(), quiet=True)
r.mapcalc('aspect_y = cos(' + aspect + ')', overwrite=gscript.overwrite(), quiet=True)
#grass.run_command('v.db.addcolumn', map=HRU, columns='aspect_x_sum double precision, aspect_y_sum double precision, ncells_in_hru integer')
v.rast_stats(map=HRU, raster='aspect_x', method='sum', column_prefix='aspect_x', flags='c', quiet=True)
v.rast_stats(map=HRU, raster='aspect_y', method='sum', column_prefix='aspect_y', flags='c', quiet=True)
hru = VectorTopo(HRU)
hru.open('rw')
cur = hru.table.conn.cursor()
cur.execute("SELECT cat,aspect_x_sum,aspect_y_sum FROM %s" %hru.name)
_arr = np.array(cur.fetchall()).astype(float)
_cat = _arr[:,0]
_aspect_x_sum = _arr[:,1]
_aspect_y_sum = _arr[:,2]
aspect_angle = np.arctan2(_aspect_y_sum, _aspect_x_sum) * 180. / np.pi
aspect_angle[aspect_angle < 0] += 360 # all positive
aspect_angle_cat = np.vstack((aspect_angle, _cat)).transpose()
cur.executemany("update "+ HRU +" set hru_aspect=? where cat=?", aspect_angle_cat)
hru.table.conn.commit()
hru.close()
# ELEVATION
############
v.rast_stats(map=HRU, raster=elevation, method='average', column_prefix='tmp', flags='c', quiet=True)
v.db_update(map=HRU, column='hru_elev', query_column='tmp_average', quiet=True)
v.db_dropcolumn(map=HRU, columns='tmp_average', quiet=True)
# CENTROIDS
############
# get x,y of centroid -- but have areas not in database table, that do have
# centroids, and having a hard time finding a good way to get rid of them!
# They have duplicate category values!
# Perhaps these are little dangles on the edges of the vectorization where
# the raster value was the same but pinched out into 1-a few cells?
# From looking at map, lots of extra centroids on area boundaries, and removing
# small areas (though threshold hard to guess) gets rid of these
hru = VectorTopo(HRU)
hru.open('rw')
hru_cats = []
hru_coords = []
for hru_i in hru:
if type(hru_i) is vector.geometry.Centroid:
hru_cats.append(hru_i.cat)
hru_coords.append(hru_i.coords())
hru_cats = np.array(hru_cats)
hru_coords = np.array(hru_coords)
hru.rewind()
hru_area_ids = []
for coor in hru_coords:
_area = hru.find_by_point.area(Point(coor[0], coor[1]))
hru_area_ids.append(_area)
hru_area_ids = np.array(hru_area_ids)
hru.rewind()
hru_areas = []
for _area_id in hru_area_ids:
hru_areas.append(_area_id.area())
hru_areas = np.array(hru_areas)
hru.rewind()
allcats = sorted(list(set(list(hru_cats))))
# Now create weighted mean
hru_centroid_locations = []
for cat in allcats:
hrus_with_cat = hru_cats[hru_cats == cat]
if len(hrus_with_cat) == 1:
hru_centroid_locations.append((hru_coords[hru_cats == cat]).squeeze())
else:
_centroids = hru_coords[hru_cats == cat]
#print _centroids
_areas = hru_areas[hru_cats == cat]
#print _areas
_x = np.average(_centroids[:,0], weights=_areas)
_y = np.average(_centroids[:,1], weights=_areas)
#print _x, _y
hru_centroid_locations.append(np.array([_x, _y]))
# Now upload weighted mean to database table
# allcats and hru_centroid_locations are co-indexed
index__cats = create_iterator(HRU)
cur = hru.table.conn.cursor()
for i in range(len(allcats)):
# meters
cur.execute('update '+HRU
+' set hru_x='+str(hru_centroid_locations[i][0])
+' where cat='+str(allcats[i]))
cur.execute('update '+HRU
+' set hru_y='+str(hru_centroid_locations[i][1])
+' where cat='+str(allcats[i]))
# feet
cur.execute('update '+HRU
+' set hru_xlong='+str(hru_centroid_locations[i][0]*3.28084)
+' where cat='+str(allcats[i]))
cur.execute('update '+HRU
+' set hru_ylat='+str(hru_centroid_locations[i][1]*3.28084)
+' where cat='+str(allcats[i]))
# (un)Project to lat/lon
_centroid_ll = gscript.parse_command('m.proj',
coordinates=
list(hru_centroid_locations[i]),
flags='od').keys()[0]
_lon, _lat, _z = _centroid_ll.split('|')
cur.execute('update '+HRU
+' set hru_lon='+_lon
+' where cat='+str(allcats[i]))
cur.execute('update '+HRU
+' set hru_lat='+_lat
+' where cat='+str(allcats[i]))
# feet -- not working.
# Probably an issue with index__cats -- maybe fix later, if needed
# But currently not a major speed issue
"""
cur.executemany("update "+HRU+" set hru_xlong=?*3.28084 where hru_x=?",
index__cats)
cur.executemany("update "+HRU+" set hru_ylat=?*3.28084 where hru_y=?",
index__cats)
"""
cur.close()
hru.table.conn.commit()
hru.close()
# ID NUMBER
############
#cur.executemany("update "+HRU+" set hru_segment=? where id=?",
# index__cats)
# Segment number = HRU ID number
v.db_update(map=HRU, column='hru_segment', query_column='id', quiet=True)
# LAND USE/COVER
############
try:
land_cover = int(land_cover)
except:
pass
if type(land_cover) is int:
if land_cover <= 3:
v.db_update(map=HRU, column='cov_type', value=land_cover, quiet=True)
else:
sys.exit("WARNING: INVALID LAND COVER TYPE. CHECK INTEGER VALUES.\n"
"EXITING TO ALLOW USER TO CHANGE BEFORE RUNNING GSFLOW")
else:
# NEED TO UPDATE THIS TO MODAL VALUE!!!!
gscript.message("Warning: values taken from HRU centroids. Code should be updated to")
gscript.message("acquire modal values")
v.what_rast(map=HRU, type='centroid', raster=land_cover, column='cov_type', quiet=True)
#v.rast_stats(map=HRU, raster=land_cover, method='average', column_prefix='tmp', flags='c', quiet=True)
#v.db_update(map=HRU, column='cov_type', query_column='tmp_average', quiet=True)
#v.db_dropcolumn(map=HRU, columns='tmp_average', quiet=True)
# SOIL
############
try:
soil = int(soil)
except:
pass
if type(soil) is int:
if (soil > 0) and (soil <= 3):
v.db_update(map=HRU, column='soil_type', value=soil, quiet=True)
else:
sys.exit("WARNING: INVALID SOIL TYPE. CHECK INTEGER VALUES.\n"
"EXITING TO ALLOW USER TO CHANGE BEFORE RUNNING GSFLOW")
else:
# NEED TO UPDATE THIS TO MODAL VALUE!!!!
gscript.message("Warning: values taken from HRU centroids. Code should be updated to")
gscript.message("acquire modal values")
v.what_rast(map=HRU, type='centroid', raster=soil, column='soil_type', quiet=True)
def main():
elevation = options['elevation']
slope = options['slope']
flat_thres = float(options['flat_thres'])
curv_thres = float(options['curv_thres'])
filter_size = int(options['filter_size'])
counting_size = int(options['counting_size'])
nclasses = int(options['classes'])
texture = options['texture']
convexity = options['convexity']
concavity = options['concavity']
features = options['features']
# remove mapset from output name in case of overwriting existing map
texture = texture.split('@')[0]
convexity = convexity.split('@')[0]
concavity = concavity.split('@')[0]
features = features.split('@')[0]
# store current region settings
global current_reg
current_reg = parse_key_val(g.region(flags='pg', stdout_=PIPE).outputs.stdout)
del current_reg['projection']
del current_reg['zone']
del current_reg['cells']
# check for existing mask and backup if found
global mask_test
mask_test = gs.list_grouped(
type='rast', pattern='MASK')[gs.gisenv()['MAPSET']]
if mask_test:
global original_mask
original_mask = temp_map('tmp_original_mask')
g.copy(raster=['MASK', original_mask])
# error checking
if flat_thres < 0:
gs.fatal('Parameter thres cannot be negative')
if filter_size % 2 == 0 or counting_size % 2 == 0:
gs.fatal(
'Filter or counting windows require an odd-numbered window size')
if filter_size >= counting_size:
gs.fatal(
'Filter size needs to be smaller than the counting window size')
if features != '' and slope == '':
gs.fatal('Need to supply a slope raster in order to produce the terrain classification')
# Terrain Surface Texture -------------------------------------------------
# smooth the dem
gs.message("Calculating terrain surface texture...")
gs.message(
"1. Smoothing input DEM with a {n}x{n} median filter...".format(
n=filter_size))
filtered_dem = temp_map('tmp_filtered_dem')
gs.run_command("r.neighbors", input = elevation, method = "median",
size = filter_size, output = filtered_dem, flags='c',
quiet=True)
# extract the pits and peaks based on the threshold
pitpeaks = temp_map('tmp_pitpeaks')
gs.message("2. Extracting pits and peaks with difference > thres...")
r.mapcalc(expression='{x} = if ( abs({dem}-{median})>{thres}, 1, 0)'.format(
x=pitpeaks, dem=elevation, thres=flat_thres, median=filtered_dem),
quiet=True)
# calculate density of pits and peaks
gs.message("3. Using resampling filter to create terrain texture...")
window_radius = (counting_size-1)/2
y_radius = float(current_reg['ewres'])*window_radius
x_radius = float(current_reg['nsres'])*window_radius
resample = temp_map('tmp_density')
r.resamp_filter(input=pitpeaks, output=resample, filter=['bartlett','gauss'],
radius=[x_radius,y_radius], quiet=True)
# convert to percentage
gs.message("4. Converting to percentage...")
r.mask(raster=elevation, overwrite=True, quiet=True)
r.mapcalc(expression='{x} = float({y} * 100)'.format(x=texture, y=resample),
quiet=True)
r.mask(flags='r', quiet=True)
r.colors(map=texture, color='haxby', quiet=True)
# Terrain convexity/concavity ---------------------------------------------
# surface curvature using lacplacian filter
gs.message("Calculating terrain convexity and concavity...")
gs.message("1. Calculating terrain curvature using laplacian filter...")
# grow the map to remove border effects and run laplacian filter
dem_grown = temp_map('tmp_elevation_grown')
laplacian = temp_map('tmp_laplacian')
g.region(n=float(current_reg['n']) + (float(current_reg['nsres']) * filter_size),
s=float(current_reg['s']) - (float(current_reg['nsres']) * filter_size),
w=float(current_reg['w']) - (float(current_reg['ewres']) * filter_size),
e=float(current_reg['e']) + (float(current_reg['ewres']) * filter_size))
r.grow(input=elevation, output=dem_grown, radius=filter_size, quiet=True)
r.mfilter(
input=dem_grown, output=laplacian,
filter=string_to_rules(laplacian_matrix(filter_size)), quiet=True)
# extract convex and concave pixels
gs.message("2. Extracting convexities and concavities...")
convexities = temp_map('tmp_convexities')
concavities = temp_map('tmp_concavities')
r.mapcalc(
expression='{x} = if({laplacian}>{thres}, 1, 0)'\
.format(x=convexities, laplacian=laplacian, thres=curv_thres),
quiet=True)
r.mapcalc(
expression='{x} = if({laplacian}<-{thres}, 1, 0)'\
.format(x=concavities, laplacian=laplacian, thres=curv_thres),
quiet=True)
# calculate density of convexities and concavities
gs.message("3. Using resampling filter to create surface convexity/concavity...")
resample_convex = temp_map('tmp_convex')
resample_concav = temp_map('tmp_concav')
r.resamp_filter(input=convexities, output=resample_convex,
filter=['bartlett','gauss'], radius=[x_radius,y_radius],
quiet=True)
r.resamp_filter(input=concavities, output=resample_concav,
filter=['bartlett','gauss'], radius=[x_radius,y_radius],
quiet=True)
# convert to percentages
gs.message("4. Converting to percentages...")
g.region(**current_reg)
r.mask(raster=elevation, overwrite=True, quiet=True)
r.mapcalc(expression='{x} = float({y} * 100)'.format(x=convexity, y=resample_convex),
quiet=True)
r.mapcalc(expression='{x} = float({y} * 100)'.format(x=concavity, y=resample_concav),
quiet=True)
r.mask(flags='r', quiet=True)
# set colors
r.colors_stddev(map=convexity, quiet=True)
r.colors_stddev(map=concavity, quiet=True)
# Terrain classification Flowchart-----------------------------------------
if features != '':
gs.message("Performing terrain surface classification...")
# level 1 produces classes 1 thru 8
# level 2 produces classes 5 thru 12
# level 3 produces classes 9 thru 16
if nclasses == 8: levels = 1
if nclasses == 12: levels = 2
if nclasses == 16: levels = 3
classif = []
for level in range(levels):
# mask previous classes x:x+4
if level != 0:
min_cla = (4*(level+1))-4
clf_msk = temp_map('tmp_clf_mask')
rules = '1:{0}:1'.format(min_cla)
r.recode(
input=classif[level-1], output=clf_msk,
rules=string_to_rules(rules), overwrite=True)
r.mask(raster=clf_msk, flags='i', quiet=True, overwrite=True)
# image statistics
smean = r.univar(
map=slope, flags='g', stdout_=PIPE).outputs.stdout.split(os.linesep)
smean = [i for i in smean if i.startswith('mean=') is True][0].split('=')[1]
cmean = r.univar(
map=convexity, flags='g', stdout_=PIPE).outputs.stdout.split(os.linesep)
cmean = [i for i in cmean if i.startswith('mean=') is True][0].split('=')[1]
tmean = r.univar(
map=texture, flags='g', stdout_=PIPE).outputs.stdout.split(os.linesep)
tmean = [i for i in tmean if i.startswith('mean=') is True][0].split('=')[1]
classif.append(temp_map('tmp_classes'))
if level != 0:
r.mask(flags='r', quiet=True)
classification(level+1, slope, smean, texture, tmean,
convexity, cmean, classif[level])
# combine decision trees
merged = []
for level in range(0, levels):
if level > 0:
min_cla = (4*(level+1))-4
merged.append(temp_map('tmp_merged'))
r.mapcalc(
expression='{x} = if({a}>{min}, {b}, {a})'.format(
x=merged[level], min=min_cla, a=merged[level-1], b=classif[level]))
else:
merged.append(classif[level])
g.rename(raster=[merged[-1], features], quiet=True)
del TMP_RAST[-1]
# Write metadata ----------------------------------------------------------
history = 'r.terrain.texture '
for key,val in options.iteritems():
history += key + '=' + str(val) + ' '
r.support(map=texture,
title=texture,
description='generated by r.terrain.texture',
history=history)
r.support(map=convexity,
title=convexity,
description='generated by r.terrain.texture',
history=history)
r.support(map=concavity,
title=concavity,
description='generated by r.terrain.texture',
history=history)
if features != '':
r.support(map=features,
title=features,
description='generated by r.terrain.texture',
history=history)
# write color and category rules to tempfiles
r.category(
map=features,
rules=string_to_rules(categories(nclasses)),
separator='pipe')
r.colors(
map=features, rules=string_to_rules(colors(nclasses)), quiet=True)
return 0
def main():
"""
Builds river segments for input to the USGS hydrologic models
PRMS and GSFLOW.
"""
##################
# OPTION PARSING #
##################
options, flags = gscript.parser()
# I/O
streams = options['input']
segments = options['output']
# Hydraulic geometry
ICALC = options['icalc']
# ICALC=0: Constant depth
WIDTH1 = options['width1']
WIDTH2 = options['width2']
# ICALC=1: Manning
ROUGHCH = options['roughch']
# ICALC=2: Manning
ROUGHBK = options['roughbk']
# ICALC=3: Power-law relationships (following Leopold and others)
# The at-a-station default exponents are from Rhodes (1977)
CDPTH = str(float(options['cdpth']) / 35.3146667) # cfs to m^3/s
FDPTH = options['fdpth']
AWDTH = str(float(options['awdth']) / 35.3146667) # cfs to m^3/s
BWDTH = options['bwdth']
##################################################
# CHECKING DEPENDENCIES WITH OPTIONAL PARAMETERS #
##################################################
if ICALC == 3:
if CDPTH and FDPTH and AWDTH and BWDTH:
pass
else:
grass.fatal('Missing CDPTH, FDPTH, AWDTH, and/or BWDTH. \
These are required when ICALC = 3.')
###########
# RUNNING #
###########
# New Columns for Segments
segment_columns = []
# Self ID
segment_columns.append('id integer') # segment number
segment_columns.append('ISEG integer') # segment number
segment_columns.append('NSEG integer') # segment number
# for GSFLOW
segment_columns.append('ICALC integer') # 3 for power function
segment_columns.append(
'OUTSEG integer') # downstream segment -- tostream, renumbered
segment_columns.append('ROUGHCH double precision') # overbank roughness
segment_columns.append('ROUGHBK double precision') # in-channel roughness
segment_columns.append('WIDTH1 double precision') # overbank roughness
segment_columns.append('WIDTH2 double precision') # in-channel roughness
segment_columns.append('CDPTH double precision') # depth coeff
segment_columns.append('FDPTH double precision') # depth exp
segment_columns.append('AWDTH double precision') # width coeff
segment_columns.append('BWDTH double precision') # width exp
# The below will be all 0
segment_columns.append(
'IUPSEG varchar') # upstream segment ID number, for diversions
segment_columns.append('FLOW varchar')
segment_columns.append('RUNOFF varchar')
segment_columns.append('ETSW varchar')
segment_columns.append('PPTSW varchar')
segment_columns = ",".join(segment_columns)
# CONSIDER THE EFFECT OF OVERWRITING COLUMNS -- WARN FOR THIS
# IF MAP EXISTS ALREADY?
# Create a map to work with
g.copy(vector=(streams, segments), overwrite=gscript.overwrite())
# and add its columns
v.db_addcolumn(map=segments, columns=segment_columns)
# Produce the data table entries
##################################
colNames = np.array(gscript.vector_db_select(segments, layer=1)['columns'])
colValues = np.array(
gscript.vector_db_select(segments, layer=1)['values'].values())
number_of_segments = colValues.shape[0]
cats = colValues[:, colNames == 'cat'].astype(int).squeeze()
nseg = np.arange(1, len(cats) + 1)
nseg_cats = []
for i in range(len(cats)):
nseg_cats.append((nseg[i], cats[i]))
segmentsTopo = VectorTopo(segments)
segmentsTopo.open('rw')
cur = segmentsTopo.table.conn.cursor()
# id = cat (as does ISEG and NSEG)
cur.executemany("update " + segments + " set id=? where cat=?", nseg_cats)
cur.executemany("update " + segments + " set ISEG=? where cat=?",
nseg_cats)
cur.executemany("update " + segments + " set NSEG=? where cat=?",
nseg_cats)
# outseg = tostream: default is 0 if "tostream" is off-map
cur.execute("update " + segments + " set OUTSEG=0")
cur.executemany("update " + segments + " set OUTSEG=? where tostream=?",
nseg_cats)
# Discharge and hydraulic geometry
cur.execute("update " + segments + " set WIDTH1=" + str(WIDTH1))
cur.execute("update " + segments + " set WIDTH2=" + str(WIDTH2))
cur.execute("update " + segments + " set ROUGHCH=" + str(ROUGHCH))
cur.execute("update " + segments + " set ROUGHBK=" + str(ROUGHBK))
cur.execute("update " + segments + " set ICALC=" + str(ICALC))
cur.execute("update " + segments + " set CDPTH=" + str(CDPTH))
cur.execute("update " + segments + " set FDPTH=" + str(FDPTH))
cur.execute("update " + segments + " set AWDTH=" + str(AWDTH))
cur.execute("update " + segments + " set BWDTH=" + str(BWDTH))
gscript.message('')
gscript.message('NOTICE: not currently used:')
gscript.message('IUPSEG, FLOW, RUNOFF, ETSW, and PPTSW.')
gscript.message('All set to 0.')
gscript.message('')
# values that are 0
cur.execute("update " + segments + " set IUPSEG=" + str(0))
cur.execute("update " + segments + " set FLOW=" + str(0))
cur.execute("update " + segments + " set RUNOFF=" + str(0))
cur.execute("update " + segments + " set ETSW=" + str(0))
cur.execute("update " + segments + " set PPTSW=" + str(0))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
def main():
"""
Builds river segments for input to the USGS hydrologic models
PRMS and GSFLOW.
"""
##################
# OPTION PARSING #
##################
options, flags = gscript.parser()
# I/O
streams = options["input"]
segments = options["output"]
# Hydraulic geometry
ICALC = int(options["icalc"])
# ICALC=0: Constant depth
WIDTH1 = options["width1"]
WIDTH2 = options["width2"]
# ICALC=1,2: Manning (in channel and overbank): below
# ICALC=3: Power-law relationships (following Leopold and others)
# The at-a-station default exponents are from Rhodes (1977)
CDPTH = str(float(options["cdpth"]) / 35.3146667) # cfs to m^3/s
FDPTH = options["fdpth"]
AWDTH = str(float(options["awdth"]) / 35.3146667) # cfs to m^3/s
BWDTH = options["bwdth"]
##################################################
# CHECKING DEPENDENCIES WITH OPTIONAL PARAMETERS #
##################################################
if ICALC == 3:
if CDPTH and FDPTH and AWDTH and BWDTH:
pass
else:
gscript.fatal("Missing CDPTH, FDPTH, AWDTH, and/or BWDTH. \
These are required when ICALC = 3.")
###########
# RUNNING #
###########
# New Columns for Segments
segment_columns = []
# Self ID
segment_columns.append("id integer") # segment number
segment_columns.append("ISEG integer") # segment number
segment_columns.append("NSEG integer") # segment number
# for GSFLOW
segment_columns.append(
"ICALC integer"
) # 1 for channel, 2 for channel+fp, 3 for power function
segment_columns.append(
"OUTSEG integer") # downstream segment -- tostream, renumbered
segment_columns.append("ROUGHCH double precision") # overbank roughness
segment_columns.append("ROUGHBK double precision") # in-channel roughness
segment_columns.append("WIDTH1 double precision") # overbank roughness
segment_columns.append("WIDTH2 double precision") # in-channel roughness
segment_columns.append("CDPTH double precision") # depth coeff
segment_columns.append("FDPTH double precision") # depth exp
segment_columns.append("AWDTH double precision") # width coeff
segment_columns.append("BWDTH double precision") # width exp
segment_columns.append(
"floodplain_width double precision"
) # floodplain width (8-pt approx channel + flat fp)
# The below will be all 0
segment_columns.append(
"IUPSEG varchar") # upstream segment ID number, for diversions
segment_columns.append("FLOW varchar")
segment_columns.append("RUNOFF varchar")
segment_columns.append("ETSW varchar")
segment_columns.append("PPTSW varchar")
segment_columns = ",".join(segment_columns)
# CONSIDER THE EFFECT OF OVERWRITING COLUMNS -- WARN FOR THIS
# IF MAP EXISTS ALREADY?
# Create a map to work with
g.copy(vector=(streams, segments), overwrite=gscript.overwrite())
# and add its columns
v.db_addcolumn(map=segments, columns=segment_columns)
# Produce the data table entries
##################################
colNames = np.array(gscript.vector_db_select(segments, layer=1)["columns"])
colValues = np.array(
gscript.vector_db_select(segments, layer=1)["values"].values())
number_of_segments = colValues.shape[0]
cats = colValues[:, colNames == "cat"].astype(int).squeeze()
nseg = np.arange(1, len(cats) + 1)
nseg_cats = []
for i in range(len(cats)):
nseg_cats.append((nseg[i], cats[i]))
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
# id = cat (as does ISEG and NSEG)
cur.executemany("update " + segments + " set id=? where cat=?", nseg_cats)
cur.executemany("update " + segments + " set ISEG=? where cat=?",
nseg_cats)
cur.executemany("update " + segments + " set NSEG=? where cat=?",
nseg_cats)
# outseg = tostream: default is 0 if "tostream" is off-map
cur.execute("update " + segments + " set OUTSEG=0")
cur.executemany("update " + segments + " set OUTSEG=? where tostream=?",
nseg_cats)
# Hydraulic geometry selection
cur.execute("update " + segments + " set ICALC=" + str(ICALC))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
if ICALC == 0:
gscript.message("")
gscript.message("ICALC=0 (constant) not supported")
gscript.message("Continuing nonetheless.")
gscript.message("")
if ICALC == 1:
if options["width_points"] is not "":
# Can add machinery here for separate upstream and downstream widths
# But really should not vary all that much
# v.to_db(map=segments, option='start', columns='xr1,yr1')
# v.to_db(map=segments, option='end', columns='xr2,yr2')
gscript.run_command(
"v.distance",
from_=segments,
to=options["width_points"],
upload="to_attr",
to_column=options["width_points_col"],
column="WIDTH1",
)
v.db_update(map=segments, column="WIDTH2", query_column="WIDTH1")
else:
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
cur.execute("update " + segments + " set WIDTH1=" + str(WIDTH1))
cur.execute("update " + segments + " set WIDTH2=" + str(WIDTH2))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
if ICALC == 2:
# REMOVE THIS MESSAGE ONCE THIS IS INCLUDED IN INPUT-FILE BUILDER
gscript.message("")
gscript.message("ICALC=2 (8-point channel + floodplain) not supported")
gscript.message("Continuing nonetheless.")
gscript.message("")
if options["fp_width_pts"] is not "":
gscript.run_command(
"v.distance",
from_=segments,
to=options["fp_width_pts"],
upload="to_attr",
to_column=options["fp_width_pts_col"],
column="floodplain_width",
)
else:
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
cur.execute("update " + segments + " set floodplain_width=" +
str(options["fp_width_value"]))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
if ICALC == 3:
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
cur.execute("update " + segments + " set CDPTH=" + str(CDPTH))
cur.execute("update " + segments + " set FDPTH=" + str(FDPTH))
cur.execute("update " + segments + " set AWDTH=" + str(AWDTH))
cur.execute("update " + segments + " set BWDTH=" + str(BWDTH))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
# values that are 0
gscript.message("")
gscript.message("NOTICE: not currently used:")
gscript.message("IUPSEG, FLOW, RUNOFF, ETSW, and PPTSW.")
gscript.message("All set to 0.")
gscript.message("")
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
cur.execute("update " + segments + " set IUPSEG=" + str(0))
cur.execute("update " + segments + " set FLOW=" + str(0))
cur.execute("update " + segments + " set RUNOFF=" + str(0))
cur.execute("update " + segments + " set ETSW=" + str(0))
cur.execute("update " + segments + " set PPTSW=" + str(0))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
# Roughness
# ICALC=1,2: Manning (in channel)
if (options["roughch_raster"] is not "") and (options["roughch_points"]
is not ""):
gscript.fatal(
"Choose either a raster or vector or a value as Manning's n input."
)
if options["roughch_raster"] is not "":
ROUGHCH = options["roughch_raster"]
v.rast_stats(
raster=ROUGHCH,
method="average",
column_prefix="tmp",
map=segments,
flags="c",
)
# v.db_renamecolumn(map=segments, column='tmp_average,ROUGHCH', quiet=True)
v.db_update(map=segments,
column="ROUGHCH",
query_column="tmp_average",
quiet=True)
v.db_dropcolumn(map=segments, columns="tmp_average", quiet=True)
elif options["roughch_points"] is not "":
ROUGHCH = options["roughch_points"]
gscript.run_command(
"v.distance",
from_=segments,
to=ROUGHCH,
upload="to_attr",
to_column=options["roughch_pt_col"],
column="ROUGHCH",
)
else:
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
ROUGHCH = options["roughch_value"]
cur.execute("update " + segments + " set ROUGHCH=" + str(ROUGHCH))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
# ICALC=2: Manning (overbank)
if (options["roughbk_raster"] is not "") and (options["roughbk_points"]
is not ""):
gscript.fatal(
"Choose either a raster or vector or a value as Manning's n input."
)
if options["roughbk_raster"] is not "":
ROUGHBK = options["roughbk_raster"]
v.rast_stats(
raster=ROUGHBK,
method="average",
column_prefix="tmp",
map=segments,
flags="c",
)
v.db_renamecolumn(map=segments,
column="tmp_average,ROUGHBK",
quiet=True)
elif options["roughbk_points"] is not "":
ROUGHBK = options["roughbk_points"]
gscript.run_command(
"v.distance",
from_=segments,
to=ROUGHBK,
upload="to_attr",
to_column=options["roughbk_pt_col"],
column="ROUGHBK",
)
else:
segmentsTopo = VectorTopo(segments)
segmentsTopo.open("rw")
cur = segmentsTopo.table.conn.cursor()
ROUGHBK = options["roughbk_value"]
cur.execute("update " + segments + " set ROUGHBK=" + str(ROUGHBK))
segmentsTopo.table.conn.commit()
segmentsTopo.close()
def main():
soillossin = options['soillossin']
soillossout = options['soillossout']
factorold = options['factorold']
factornew = options['factornew']
map = options['map']
factorcol = options['factorcol']
flag_p = flags['p'] # patch factornew with factorold
flag_k = flags['k'] # calculate k-factor components from % clay p_T, silt p_U, stones p_st, humus p_H
if not factornew:
factors = {}
if flag_k:
gscript.message('Using factor derived from \
soil components.')
parcelmap = Vect(map)
parcelmap.open(mode='rw', layer=1)
parcelmap.table.filters.select()
cur = parcelmap.table.execute()
col_names = [cn[0] for cn in cur.description]
rows = cur.fetchall()
for col in (u'Kb',u'Ks',u'Kh', u'K'):
if col not in parcelmap.table.columns:
parcelmap.table.columns.add(col,u'DOUBLE')
for row in rows:
rowid = row[1]
p_T = row[7]
p_U = row[8]
p_st = row[9]
p_H = row[10]
print("Parzelle mit id %d :" %rowid)
for sublist in bodenarten:
# p_T and p_U
if p_T in range(sublist[2],sublist[3]) \
and p_U in range(sublist[4],sublist[5]) :
print('Bodenart "' + sublist[1]
+ '", Kb = ' + str(sublist[6]))
Kb = sublist[6]
break
for sublist in skelettgehalte:
if p_st < sublist[0]:
print('Skelettgehaltsklasse bis ' + str(sublist[0])
+ ' , Ks = ' + str(sublist[1]))
Ks = sublist[1]
break
for sublist in humusgehalte:
if p_H < sublist[0]:
print('Humusgehaltsklasse bis ' + str(sublist[0])
+ ' , Ks = ' + str(sublist[1]))
Kh = sublist[1]
break
K = Kb * Ks * Kh
print('K = ' + str(K))
if K > 0:
parcelmap.table.execute("UPDATE " + parcelmap.name
+ " SET"
+ " Kb=" + str(Kb)
+ ", Ks=" + str(Ks)
+ ", Kh=" + str(Kh)
+ ", K=" + str(K)
+ " WHERE id=" + str(rowid) )
parcelmap.table.conn.commit()
parcelmap.close()
factorcol2 = 'K'
factors['k'] = map.split('@')[0]+'.tmp.'+factorcol2
v.to_rast(input=map, use='attr',
attrcolumn=factorcol2,
output=factors['k'])
r.null(map=factors['k'], setnull='0')
if factorcol:
gscript.message('Using factor from column %s of \
vector map <%s>.' % (factorcol, map) )
factors['factorcol'] = map.split('@')[0]+'.tmp.' + factorcol
v.to_rast(input=map, use='attr',
attrcolumn=factorcol,
output=factors['factorcol'])
r.null(map=factors['factorcol'], setnull='0')
print factors.keys()
if not 'k' in factors and not 'factorcol' in factors:
gscript.fatal('Please provide either factor \
raster map or valid vector map with factor column \
(kfactor) or factor components columns (Kb, Ks, Kh)' )
#if 'k' in factors and 'factorcol' in factors:
factornew = map.split('@')[0]+'.kfactor'
if 'k' in factors and 'factorcol' in factors:
factornew = map.split('@')[0]+'.kfactor'
r.patch(input=(factors['factorcol'],factors['k']),
output=factornew)
elif 'k' in factors:
g.copy(rast=(factors['k'],factornew))
elif 'factorcol' in factors:
g.copy(rast=(factors['factorcol'],factornew))
if flag_p:
#factorcorr = factorold + '.update'
r.patch(input=(factornew,factorold), output=factornew)
formula = soillossout + '=' + soillossin \
+ '/' + factorold \
+ '*' + factornew
r.mapcalc(formula)
r.colors(map=soillossout, raster=soillossin)
def smeasure():
gscript.message('Import <%s>' % measuremap.name)
measuremap.autoimport('measures', overwrite=True, quiet=quiet,
where="betrieb_id = %s" % betriebid)
soillossbaremap = maps['soillossbare']
kfactormap = maps['kfactor']
if soillossbarecorrmap.exist():
gscript.message('Using updated soillossbare map.')
soillossbaremap = soillossbarecorrmap
kfactormap = Rast(parcelmap.name + '.kfactor')
if flag_b:
measurebarriermap = Vect(measuremap.name + '_barrier')
v.extract(input=measuremap.name, where="barrier = 1",
output=measurebarriermap.name)
measurefieldblockmap = Vect(measuremap.name + '_fieldblocks')
v.overlay(ainput=maps['fieldblocks'].name,
binput=measurebarriermap.name,\
operator='not',
output=measurefieldblockmap.name)
rsoillossbare.inputs.elevation = maps['elevation'].name
rsoillossbare.inputs.rfactor = maps['rfactor'].name
rsoillossbare.inputs.kfactor = kfactormap.name
rsoillossbare.inputs.map = measurefieldblockmap.name
rsoillossbare.inputs.constant_m = '0.6'
rsoillossbare.inputs.constant_n = '1.4'
rsoillossbare.flags.r = True
rsoillossbare(soillossbare=soillossbarebarriermap.name)
soillossbaremap = soillossbarebarriermap
parcelpfactor = parcelmap.name + '.pfactor'
parcelcfactor = parcelmap.name + '.cfactor'
v.to_rast(input=parcelmap.name, use='attr', attrcolumn='pfactor',
output=parcelpfactor)
v.to_rast(input=parcelmap.name, use='attr', attrcolumn='cfactor',
output=parcelcfactor)
measurepfactor = measuremap.name + '.pfactor'
measurecfactor = measuremap.name + '.cfactor'
v.to_rast(input=measuremap.name, use='attr', attrcolumn='pfactor',
output=measurepfactor)
v.to_rast(input=measuremap.name, use='attr', attrcolumn='cfactor',
output=measurecfactor)
pfactor = parcelmap.name + '.pfactor.measure'
cfactor = parcelmap.name + '.cfactor.measure'
r.patch(input=(measurepfactor,parcelpfactor), output=pfactor)
r.patch(input=(measurecfactor,parcelcfactor), output=cfactor)
rsoillossgrow.inputs.soillossbare = soillossbaremap.name
rsoillossgrow.inputs.cfactor = pfactor
rsoillossgrow.inputs.pfactor = cfactor
rsoillossgrow(soillossgrow=soillossmeasuremap.name)
rsoillossreclass(soillossmeasuremap.name, 'soillossgrow',flags='')
gscript.message('Reclassified and colored maps found in <%s.3> and <%s.9> .'%(soillossmeasuremap.name, soillossmeasuremap.name))
if flag_s:
gscript.message('\n \n Statistics for soilloss on grown soil <%s> : '%(soillossgrowmap))
rsoillossstats(soilloss=soillossmeasuremap.name, map=parcelmap.name, parcelnumcol='id')
if not flag_c:
g.copy(rast=(soillossmeasuremap.name,output))
gscript.message('Copy made to <%s> for automatic output' %(output))