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ASS_module4_Results_weekly.py
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ASS_module4_Results_weekly.py
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"""
***************************************************************************
ASS_module4_Results_weekly.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/>. *
***************************************************************************
"""
# Import modules
import matplotlib.pyplot as plt
import numpy
import os
import csv
from datetime import date, timedelta
from SWAT_output_format_specs import SWAT_output_format_specs
OUTSPECS = SWAT_output_format_specs()
from processing.core.GeoAlgorithmExecutionException import GeoAlgorithmExecutionException
from ASS_utilities import ReadObsFlowsAss
def Results(obs_file, Startdate, Enddate, Ass_folder, nbrch):
#Getting the observed data for the assimilation (assimilation starting date to issue day (Enddate-8))
if os.path.isfile(obs_file):
Q_obs = ReadObsFlowsAss(obs_file)
Q_obs[:,0] = Q_obs[:,0] + OUTSPECS.PYEX_DATE_OFFSET
reachID = []
reachID.append(Q_obs[0,3])
for i in range(1,len(Q_obs)):
if Q_obs[i,3] != reachID[-1]:
reachID.append(Q_obs[i,3])
else:
raise GeoAlgorithmExecutionException('File ' + obsfile + ' does not exist')
for n in range(0,len(reachID)):
# Calculate weekly values
Q_obs_weekly = numpy.zeros([numpy.size(Q_obs,0)/7,1], dtype=float)
for i in range(0,numpy.size(Q_obs,0)/7):
if numpy.mean(Q_obs[i*7:(i+1)*7,3]) == reachID[n]:
if numpy.sum(numpy.isnan(Q_obs[i*7:(i+1)*7,1])) > 2:
Q_obs_weekly[i] = numpy.nan
else:
Q_obs_weekly[i] = numpy.mean(numpy.ma.masked_array(Q_obs[i*7:(i+1)*7,1],numpy.isnan(Q_obs[i*7:(i+1)*7,1])))
mean_obs_weekly = numpy.mean(numpy.ma.masked_array(Q_obs_weekly,numpy.isnan(Q_obs_weekly)))
#Routed simulation data
x3 = genfromtxt(Ass_folder + os.sep + 'Assimilation_Output.csv', delimiter=',')
P3 = genfromtxt(Ass_folder + os.sep + 'Assimilation_Cov.csv', delimiter=',')
q_ass = x3[int(reachID[n])-1,:]
std_ass = P3[int(reachID[n])-1,:]
#Creating the bounds
up_bound_ass = q_ass+2*std_ass
low_bound_ass = numpy.zeros([len(q_ass)])
for j in range (0,len(q_ass)):
if q_ass[j]-2*std_ass[j]>0:
low_bound_ass[j] = q_ass[j]-2*std_ass[j]
else:
low_bound_ass[j] = 0
timestep = (Enddate-Startdate+1)/len(q_ass)
#Preparing the simulated flows
sim_ass_daily = q_ass
q_ass_weekly = []
for i in range(1,len(q_ass)/7):
q_ass_weekly.append(mean(q_ass[(i-1)*7+1:i*7]))
#Excluding nan flows
obs_weekly = array(Q_obs_weekly)
obs_weekly[find(numpy.isnan(Q_obs_weekly))] = -1
a = numpy.where(obs_weekly>0)
obs_det_sum = 0
obs_ass_sum = 0
for i in range(0,len(a[0])):
obs_det_sum = obs_det_sum + ((sim_det_weekly[a[0][i]]-obs_weekly[a[0][i]])**2)
obs_ass_sum = obs_ass_sum + ((sim_ass_weekly[a[0][i]]-obs_weekly[a[0][i]])**2)
# Create plot
xsim = numpy.arange(1,len(q_ass_weekly))
xobs = numpy.arange(1,len(Q_obs_weekly))
fig = plt.figure()
plt.title('Assimilation results for reach '+str(int(reachID[n])), fontsize=12)
plt.ylabel('Discharge [$m^3/s$]')
p1, = plt.plot_date(xsim, q_ass_weekly, linestyle='-',color='green', marker = 'None')
plt.plot_date(xsim, low_bound_ass, linestyle='--', color = 'green',marker = 'None')
plt.plot_date(xsim, up_bound_ass, linestyle='--', color = 'green',marker = 'None')
p2, = plt.plot_date(xobs, Q_obs_weekly, color='red', marker = '.')
plt.legend([p1,p2],['Assimilated Run','Observed'])
plt.legend(loc=0)
grid(True)
grid(True)
ax1 = fig.add_subplot(111)
ax1.fill_between(xsim, low_bound_ass, up_bound_ass, color='green',alpha=.3)
p = []
for i in range(-30,9):
p.append(str(i))
p[30]= str(num2date(Enddate-8))[0:10]
plt.xticks(numpy.arange(dates[0],dates[-1]+1), p, size='xx-small')
plt.xlim([Startdate+20, Enddate])
figname = Ass_folder + os.sep + 'Assimilation_Results_reach' + str(int(reachID[n])) + '.pdf'
plt.savefig(figname)
plt.show()
if __name__ == '__main__':
Ass_folder = 'c:\\Research\\Assimilation\\TxtInOut_235\\Assimilation' #Folder where results are stored
src_folder = 'c:\\Research\\Assimilation\\TxtInOut_235' #Folder with SWAT results
obs_file = 'c:\\Research\\Assimilation\\TxtInOut_235\\Rundu_error.csv' #Folder with observed discharge data
nbrch = 7 #Total number of reaches
#Get the startdate and endate from SWAT fil.cio and compare with startdate of data to determine header in output files
deli = [10,7,8]
Startdate = date2num(date(2005,2,15))
Dates = genfromtxt(src_folder + os.sep + 'file.cio', skip_header = 7, delimiter = deli, usecols=1)
Startdate_SWAT = date2num(date((int(Dates[1])-1),12,31))+Dates[2]
Enddate = date2num(date(int(Dates[1]+Dates[0]-1),1,1))+Dates[3]
NYSKIP = Dates[52] # number of years skipped in output printing/summarization
if NYSKIP > 0:
Startdate_SWAT_results = date2num(date((int(Dates[1]+NYSKIP)),1,1))
header = int((Startdate-Startdate_SWAT_results)*nbrch+9)
else:
header = 9
Results(obs_file, Startdate, Enddate, Ass_folder, nbrch)