#added feature for including ocean WQ boundary as well as for increasing

river inflow temp and ocean temp by a user defined delta for near and
far future
#fully working.

07_Modelling/01_Input/BCGeneration/hunter_rma_preprocessing.py

@@ -11,11 +11,6 @@ import pyrma.pyrma
 
 path = "C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/07_Modelling/01_Input/BCGeneration/"
 
-###Input parameters for Climate change runs
-pres_start_date = datetime(int(1995), int('1'), int('1'))
-pres_end_date = datetime(int(2005), int('12'), int('31'))
-River_temp_increase = 0.5
-
 # Load project settings
 # Establish the settings and run parameters (see the description of
 # settings that are in header of this code)
@@ -92,6 +87,11 @@ start_date = datetime(int(S['start_year']), int(S['start_month']), int(S['start_
 end_date = datetime(int(S['end_year']), int(S['end_month']), int(S['end_day']))
 inflow_timeseries = pd.DataFrame(index=pd.date_range(start_date, end_date))
 
+
+#presend day period start and end day
+pres_start_date = datetime(int(S['PD_start_year']), int(S['PD_start_month']), int(S['PD_start_day']))
+pres_end_date = datetime(int(S['PD_end_year']), int(S['PD_end_month']), int(S['PD_end_day']))
+
 # Generate empty dictionary (to be filled with dataframes) for water quality
 wq_timeseries = {}
 
@@ -144,7 +144,38 @@ if S['include_boundary_flows'].lower() == 'yes':
         inflow_timeseries = pd.concat([inflow_timeseries, df[[key]]], axis=1)
             
         # Add to water quality timeseries
-        wq_timeseries[key] = df.drop(['Q[ML/d]', key], axis = 1)
+        df = df.drop(['Q[ML/d]', key], axis = 1)
+        #increase river temperature by Delta
+        if S['Increase_riv_temp'] == 'yes':
+            df['Temperature'] = df['Temperature'] + S['Riv_temp_increase']
+        wq_timeseries[key] =  df
+        
+        
+CC_data = {}
+for key, val in S.items():
+    if re.match('CC_\d', key):
+        CC_data[val[0]] = dict(cc=int(val[1]))
+
+dir_name = S['CC_WQ_directory']
+for key, val in CC_data.items():
+    file_name = [x for x in os.listdir(dir_name) if x.startswith(key)][0]
+    CC_data[key]['path'] = os.path.join(dir_name, file_name)
+
+CC_timeseries = {}        
+if S['include_CC_wq'].lower() == 'yes':
+    print('Reading WQ at CC line')
+    for key in CC_data.keys():
+        df = pd.read_csv(
+            CC_data[key]['path'],
+            index_col=0,
+            parse_dates=[0],
+            dayfirst=True)
+        #Shift the water quality time series data frame by 
+        df.index =  df.index + (start_date - pres_start_date)
+        #increase temperature by Delta
+        if S['Increase_SST_temp'] == 'yes':
+            df['Temperature'] = df['Temperature'] + S['SST_increase']
+        CC_timeseries[key] = df.copy()
 
 # Read WWTP data from setup file
 wwtp_data = {}
@@ -561,11 +592,9 @@ if S['include_WQ'].lower() == 'yes':
         wq = wq.reset_index()
         wq.index = np.tile(i, wq.shape[0])
         wq_df = wq_df.append(wq)
-    
     #Shift the water quality time series data frame by 
     wq_df.index =  wq_df.index + (start_date - pres_start_date) 
 
-
 # Write element inflows for RMA
 # Consolidate inflow elements in RMA mesh (only include those with inflows)
 inflow_elements = mesh.loc[[len(n) > 0
@@ -680,6 +709,18 @@ for current_year in range(start_date.year, end_date.year + 1):
     fq.close()
     
     if S['include_WQ'].lower() == 'yes':
+        if S['include_CC_wq'].lower() == 'yes':
+            for key, value in CC_timeseries.items():
+                fwq.write('TI       {}\n'.format(key))
+                fwq.write('{:<8}{:>8}{:>8}{:>8}\n'.format('QT', CC_data['Entrance']['cc'], 1,
+                                                      current_year))
+                for index, row in value[value.index.year ==
+                                            current_year].iterrows():
+                    fwq.write('{:<5}{:>3}{:>8}'.format(
+                    'QD', index.dayofyear, index.hour) + ''.join(
+                    '{:>8.2E}'.format(x) for x in row))
+                    fwq.write('\n')
+            print('a')
         fwq.write('ENDDATA\n\n')
         fwq.write(env_str)
         fwq.close()