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ClimateStationsSWAT.py
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ClimateStationsSWAT.py
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"""
***************************************************************************
ClimateStationsSWAT.py
-------------------------------------
Copyright (C) 2014 TIGER-NET (www.tiger-net.org)
***************************************************************************
* This plugin is part of the Water Observation Information System (WOIS) *
* developed under the TIGER-NET project funded by the European Space *
* Agency as part of the long-term TIGER initiative aiming at promoting *
* the use of Earth Observation (EO) for improved Integrated Water *
* Resources Management (IWRM) in Africa. *
* *
* WOIS is a free software i.e. you can redistribute it and/or modify *
* it under the terms of the GNU General Public License as published *
* by the Free Software Foundation, either version 3 of the License, *
* or (at your option) any later version. *
* *
* WOIS is distributed in the hope that it will be useful, but WITHOUT ANY *
* WARRANTY; without even the implied warranty of MERCHANTABILITY or *
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License *
* for more details. *
* *
* You should have received a copy of the GNU General Public License along *
* with this program. If not, see <http://www.gnu.org/licenses/>. *
***************************************************************************
"""
from datetime import date, timedelta
import os
import numpy
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
class ClimateStationsSWAT(GeoAlgorithmExecutionException):
def __init__(self, stations_filename):
if os.path.isfile(stations_filename):
self.station_filename = stations_filename
self.station_id = []
self.station_lati = []
self.station_long = []
self.station_elev = []
# Reading station file
station_file = open(stations_filename,'r').readlines()
for line in station_file:
try:
int(line[0:6])
self.station_id.append(line[0:6])
self.station_lati.append(float(line[37:42])/100)
self.station_long.append(float(line[43:49])/100)
self.station_elev.append(int(line[50:55]))
except ValueError:
pass
# Convert id's to dictionary
self.station_id_dict = {}
for i in self.station_id:
self.station_id_dict[int(i)] = i
else:
raise GeoAlgorithmExecutionException('No such file: \"' + stations_filename + '\" ')
def readSWATpcpFiles(self, log_file):
"""Reading the SWAT .pcp files for all stations in station file"""
station_folder = os.path.split(self.station_filename)[0]
# Sort id's
station_id_sorted = sorted(self.station_id_dict)
# Reading .pcp files to numpy array
pcp_array = None
pcp_dates = []
for i in station_id_sorted:
station_pcp_filename = station_folder + os.sep + self.station_id_dict[i] + '.pcp'
if os.path.isfile(station_pcp_filename):
pcp_file = open(station_pcp_filename,'r').readlines()
if pcp_array == None:
pcp_array = numpy.zeros([len(pcp_file)-4,len(station_id_sorted)],dtype=numpy.float)
for n in range(4,len(pcp_file)):
if i == 1:
pcp_dates.append(pcp_file[n][0:7])
pcp_array[n-4,i-1] = float(pcp_file[n][7:12])
else:
raise GeoAlgorithmExecutionException('No .pcp file found: \"' + station_pcp_filename + '\" ')
if pcp_dates != []:
# From Julian day to date
last_pcp_date = date(int(pcp_dates[-1][0:4]),1,1) + timedelta(days=int(pcp_dates[-1][4:7])-1)
first_pcp_date = date(int(pcp_dates[0][0:4]),1,1) + timedelta(days=int(pcp_dates[0][4:7])-1)
## log_file.write("First day of pcp in .pcp file: %s \n"%first_pcp_date.strftime('%Y%m%d'))
## log_file.write("Last day of pcp in .pcp file: %s \n"%last_pcp_date.strftime('%Y%m%d'))
else:
last_pcp_date = None
first_pcp_date = None
return pcp_dates, first_pcp_date, last_pcp_date, pcp_array
def readSWATtmpFiles(self,log_file):
"""Reading the SWAT .tmp files for all stations in station file"""
station_folder = os.path.split(self.station_filename)[0]
# Sort id's
station_id_sorted = sorted(self.station_id_dict)
# Reading old .tmp files to numpy array
tmp_max_array = None
tmp_min_array = None
tmp_dates = []
for i in station_id_sorted:
station_tmp_filename = station_folder + os.sep + self.station_id_dict[i] + '.tmp'
if os.path.isfile(station_tmp_filename):
tmp_file = open(station_tmp_filename,'r').readlines()
if tmp_max_array == None:
tmp_max_array = numpy.zeros([len(tmp_file)-4,len(station_id_sorted)],dtype=numpy.float)
tmp_min_array = numpy.zeros([len(tmp_file)-4,len(station_id_sorted)],dtype=numpy.float)
for n in range(4,len(tmp_file)):
if i == 1:
tmp_dates.append(tmp_file[n][0:7])
tmp_max_array[n-4,i-1] = float(tmp_file[n][7:12])
tmp_min_array[n-4,i-1] = float(tmp_file[n][12:17])
else:
raise GeoAlgorithmExecutionException('No .tmp file found: \"' + station_pcp_filename + '\" ')
if tmp_dates != []:
# From Julian day to date
last_tmp_date = date(int(tmp_dates[-1][0:4]),1,1) + timedelta(days=int(tmp_dates[-1][4:7])-1)
first_tmp_date = date(int(tmp_dates[0][0:4]),1,1) + timedelta(days=int(tmp_dates[0][4:7])-1)
## log_file.write("First day of tmp in .tmp file: %s \n"%first_tmp_date.strftime('%Y%m%d'))
## log_file.write("Last day of tmp in .tmp file: %s \n"%last_tmp_date.strftime('%Y%m%d'))
else:
last_tmp_date = None
first_tmp_date = None
return tmp_dates, first_tmp_date, last_tmp_date, tmp_max_array, tmp_min_array
def writeSWATpcpFiles(self, pcp_juliandates, pcp_array, log_file):
"""Write the SWAT .pcp files for all stations in station file"""
station_folder = os.path.split(self.station_filename)[0]
# Sort id's
station_id_sorted = sorted(self.station_id_dict)
# Writing .pcp files
for i in station_id_sorted:
station_pcp_filename = station_folder + os.sep + self.station_id_dict[i] + '.pcp'
if os.path.isfile(station_pcp_filename):
old = open(station_pcp_filename, "r").readlines() # read everything in the file
with open(station_pcp_filename, "w") as f:
for l in range(0,4): # Write header
f.write(old[l])
for l in range(0,len(pcp_juliandates)): # Write array to file
f.write(pcp_juliandates[l])
f.write(("%.1f" %pcp_array[l,i-1]).zfill(5))
f.write('\n')
else:
raise GeoAlgorithmExecutionException('No .pcp file found:: \"' + station_pcp_filename + '\" ')
def writeSWATtmpFiles(self, tmp_juliandates, tmp_max_array, tmp_min_array, log_file):
"""Write the SWAT .pcp files for all stations in station file"""
station_folder = os.path.split(self.station_filename)[0]
# Sort id's
station_id_sorted = sorted(self.station_id_dict)
# Writing .pcp files
for i in station_id_sorted:
station_tmp_filename = station_folder + os.sep + self.station_id_dict[i] + '.tmp'
if os.path.isfile(station_tmp_filename):
old = open(station_tmp_filename, "r").readlines() # read everything in the file
with open(station_tmp_filename, "w") as f:
for l in range(0,4): # Write header
f.write(old[l])
for l in range(0,len(tmp_juliandates)): # Write array to file
f.write(tmp_juliandates[l])
f.write(("%.1f" %tmp_max_array[l,i-1]).zfill(5))
f.write(("%.1f" %tmp_min_array[l,i-1]).zfill(5))
f.write('\n')
else:
raise GeoAlgorithmExecutionException('No .tmp file found: \"' + station_tmp_filename + '\" ')
def writeSWATrunClimateFiles(self, InOut_folder, log_file):
dirs = os.listdir(InOut_folder)
pcp_file, tmp_file, watershed_file = False, False, False
# Get files
for f in dirs:
if '.pcp' in f:
pcp_file = InOut_folder + os.sep + f
if '.tmp' in f:
tmp_file = InOut_folder + os.sep + f
if '.fig' in f:
watershed_file = InOut_folder + os.sep + f
if not (pcp_file or tmp_file or watershed_file):
raise GeoAlgorithmExecutionException('Missing SWAT files in folder: \"' + InOut_folder + '\" ')
sub_info = {}
watershed_lines = open(watershed_file,'r').readlines()
# connect subbasin to sub file
for i in range(0,len(watershed_lines)):
if 'subbasin' in watershed_lines[i]:
sub_info[int(watershed_lines[i][22:28])] = {'sub_file':watershed_lines[i+1][10:23]}
# Add info on lat, long and elevation
for i in range(0,len(self.station_id)):
sub_info[int(self.station_id[i])]['lat'] = self.station_lati[i]
sub_info[int(self.station_id[i])]['long'] = self.station_long[i]
sub_info[int(self.station_id[i])]['elev'] = self.station_elev[i]
# Get subbasin info
pcp_stations = []
tmp_stations = []
for sub in sub_info.keys():
sub_lines = open(InOut_folder + os.sep + sub_info[sub]['sub_file'],'r').readlines()
sub_info[sub]['pcp_station'] = int(sub_lines[6][0:16])
sub_info[sub]['tmp_station'] = int(sub_lines[7][0:16])
pcp_stations.append(sub_info[sub]['pcp_station'])
tmp_stations.append(sub_info[sub]['tmp_station'])
log_file.write(str(sub_info))
# Get data
pcp_dates, first_pcp_date, last_pcp_date, pcp_array = self.readSWATpcpFiles(None)
tmp_dates, first_tmp_date, last_tmp_date, tmp_max_array, tmp_min_array = self.readSWATtmpFiles(None)
# Put all info into numpy arrays and get lines to write
pcp_DataLines = pcp_dates
pcp_stations_array = numpy.zeros([3,max(pcp_stations)])
new_pcp_array = numpy.zeros(pcp_array.shape)
for i in range(1,max(pcp_stations)+1):
pcp_station = sub_info[i]['pcp_station']
pcp_stations_array[0,pcp_station-1] = sub_info[i]['lat']
pcp_stations_array[1,pcp_station-1] = sub_info[i]['long']
pcp_stations_array[2,pcp_station-1] = sub_info[i]['elev']
new_pcp_array[:,pcp_station-1] = pcp_array[:,i-1]
for i in range(0,max(pcp_stations)):
for n in range(0,pcp_array.shape[0]):
pcp_DataLines[n] = pcp_DataLines[n] + ('%.1f' %new_pcp_array[n,i]).zfill(5)
tmp_DataLines = tmp_dates
tmp_stations_array = numpy.zeros([3,max(tmp_stations)])
new_tmp_max_array = numpy.zeros(tmp_max_array.shape)
new_tmp_min_array = numpy.zeros(tmp_min_array.shape)
for i in range(1,max(tmp_stations)+1):
tmp_station = sub_info[i]['tmp_station']
tmp_stations_array[0,tmp_station-1] = sub_info[i]['lat']
tmp_stations_array[1,tmp_station-1] = sub_info[i]['long']
tmp_stations_array[2,tmp_station-1] = sub_info[i]['elev']
new_tmp_max_array[:,tmp_station-1] = tmp_max_array[:,i-1]
new_tmp_min_array[:,tmp_station-1] = tmp_min_array[:,i-1]
for i in range(0,max(tmp_stations)):
for n in range(0,tmp_max_array.shape[0]):
tmp_DataLines[n] = tmp_DataLines[n] + ('%.1f' %new_tmp_max_array[n,i]).zfill(5) + ('%.1f' %new_tmp_min_array[n,i]).zfill(5)
# Defining headers
title = 'Precipitation Input File ' + pcp_file + ' ' + date.today().strftime('%Y%m%d') + '\n'
LatLine = 'Lati '
LongLine = 'Long '
ElevLine = 'Elev '
for i in range(0,max(pcp_stations)):
LatLine = LatLine + '%5s' %('%.1f' %pcp_stations_array[0,i])
LongLine = LongLine + '%5s' %('%.1f' %pcp_stations_array[1,i])
ElevLine = ElevLine + '%5s' %int(pcp_stations_array[2,i])
# Write file
with open(pcp_file, "w") as f:
f.write(title)
f.write(LatLine)
f.write('\n')
f.write(LongLine)
f.write('\n')
f.write(ElevLine)
f.write('\n')
for l in pcp_DataLines: # Write array to file
f.write(l)
f.write('\n')
# Defining headers
title = 'Temperature Input File ' + tmp_file + ' ' + date.today().strftime('%Y%m%d') + '\n'
LatLine = 'Lati '
LongLine = 'Long '
ElevLine = 'Elev '
for i in range(0,max(pcp_stations)):
LatLine = LatLine + '%10s' %('%.1f' %tmp_stations_array[0,i])
LongLine = LongLine + '%10s' %('%.1f' %tmp_stations_array[1,i])
ElevLine = ElevLine + '%10s' %int(tmp_stations_array[2,i])
# Write file
with open(tmp_file, "w") as f:
f.write(title)
f.write(LatLine)
f.write('\n')
f.write(LongLine)
f.write('\n')
f.write(ElevLine)
f.write('\n')
for l in tmp_DataLines: # Write array to file
f.write(l)
f.write('\n')
return(last_pcp_date,last_tmp_date)