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55 lines
1.9 KiB
Python
55 lines
1.9 KiB
Python
5 years ago
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Mar 24 19:02:20 2020
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@author: z5025317
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"""
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#load existing tgr time series boundary, raise by 1m and output a new tgr file
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#==========================================================#
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#Load packages
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#==========================================================#
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import numpy as np
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import os
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import pandas as pd
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import glob
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os.chdir('C:/Users/z5025317/UNSW/Danial Khojasteh - HEMIP/RMA_result_explorer_code')
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River = 'Shoalhaven'
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tgr_csv_folder_path = 'C:/Users/z5025317/UNSW/Danial Khojasteh - HEMIP/Models/' + River + '/02_Input/Boundary_conditions/Tide/'
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filenames = glob.glob(tgr_csv_folder_path + '*05.csv')
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for tgr_csv_name in filenames:
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print (tgr_csv_name)
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#tgr_csv_name = 'R45_2008_existing_run_tgr.csv'
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Waterlevel_increases = [0.25, 0.5, 1, 2] # in m AHD
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for Waterlevel_increase in Waterlevel_increases:
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tgr_outname = tgr_csv_folder_path + os.path.basename(tgr_csv_name)[:-4] + '_plus_SLR_' + str(Waterlevel_increase) + 'm'
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Full_df = pd.read_csv(tgr_csv_name ,header= 0, parse_dates = False)
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Full_df.columns = ['1','2','3','4']
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df = Full_df #.loc[1:2000]
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# str(df['2'][1500].astype(int))
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# RMA2: create input file
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fq = open(
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os.path.join(tgr_csv_folder_path, tgr_outname + '.tgr'),
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'w')
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fq.write('TT Manning base case tide + SLR of ' + str(Waterlevel_increase) + 'm \n')
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#fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('CLH', '', '2', '2008'))
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fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('CLH', '', int(df['3'][0]), int(df['4'][0])))
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for i in range(1,len(df)-1,1):
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# For each new element
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fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format(df['1'][i], df['2'][i], df['3'][i], str(np.round(df['4'][i].astype(float)+ Waterlevel_increase,3))))
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fq.write('ENDDATA')
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fq.close()
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