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+CRF 622 111 0.6772 112 0.3228 +CRF 623 110 0.5516 111 0.4484 +CRF 624 110 0.7508 111 0.2492 +CRF 625 110 0.9888 119 0.0112 +CRF 626 110 0.5594 109 0.4406 +CRF 627 109 0.6627 112 0.3373 +CRF 1369 8 0.8401 92 0.1599 +CRF 1385 93 1.0000 93 0.0000 +CRF 1386 150 0.9090 93 0.0910 +CRF 1387 150 0.8335 93 0.1665 +CRF 1388 150 0.7262 93 0.2738 +CRF 1389 150 0.6424 93 0.3576 +CRF 1390 150 0.5527 93 0.4473 +CRF 1391 93 0.5496 150 0.4504 +CRF 1392 93 0.6590 150 0.3410 +CRF 1393 93 0.6873 150 0.3127 +CRF 1394 93 0.6440 150 0.3560 +CRF 1395 93 0.6476 150 0.3524 +CRF 1396 93 0.6940 150 0.3060 +CRF 1397 93 0.7660 150 0.2340 +CRF 1398 93 0.8238 150 0.1762 +CRF 1399 93 0.8338 150 0.1662 +CRF 1400 93 0.8649 150 0.1351 +CRF 1401 93 0.9189 149 0.0811 +CRF 1402 93 1.0000 93 0.0000 +ENDDATA diff --git a/08_Results/RMA_result_explorer/Postprocess_extracted_RM2_results.py b/08_Results/RMA_result_explorer/Postprocess_extracted_RM2_results.py new file mode 100644 index 0000000..e7ce5a1 --- /dev/null +++ b/08_Results/RMA_result_explorer/Postprocess_extracted_RM2_results.py @@ -0,0 +1,175 @@ +# -*- coding: utf-8 -*- +#==========================================================# +#Last Updated - June 2018 +#@author: z5025317 Valentin Heimhuber +#code for creating climate prioritization plots for NARCLIM variables. +#Inputs: Uses CSV files that contain all 12 NARCLIM model runs time series for 1 grid cell created with: P1_NARCliM_NC_to_CSV_CCRC_SS.py + +#==========================================================# +#Load packages +#==========================================================# +import numpy as np +import os +import pandas as pd +import glob +import matplotlib +import matplotlib.pyplot as plt +from datetime import datetime +from datetime import timedelta +from matplotlib.backends.backend_pdf import PdfPages +from ggplot import * +matplotlib.style.use('ggplot') + +#==========================================================# +#Input parameters +#==========================================================# +# Set working direcotry (where postprocessed NARClIM data is located) +#set beginning and end years and corresponding scenario code +fs=['HCC010','HCC040'] +comparison_code = '10_40' +startyear=1995 +endyear=1997 +year=range(startyear, endyear+1) + +#set directory path for output files +output_directory = 'C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/Output/Postprocessed' + comparison_code +'/' +variable = 'vel' #depth or vel + +#set model element nodes from chainage file +node=[837, 666, 981, 59,527, 34, 391] #1, + +#set plot parameters +ALPHA_figs = 1 +font = {'family' : 'sans-serif', + 'weight' : 'normal', + 'size' : 14} +matplotlib.rc('font', **font) +#==========================================================# + +#==========================================================# +#100% automated part of the code doing the data extraction +#========================================================== +Summary_df = pd.DataFrame() +for f in fs: + #f= 'HCC040' + #set input and output directories + input_directory = 'C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/Output/'+ f + #set directory path for individual png files + png_output_directory = output_directory + '/Figures/' + # Set working direcotry (where postprocessed NARClIM data is located) + os.chdir(input_directory) + #output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted' + if not os.path.exists(output_directory): + os.makedirs(output_directory) + print('-------------------------------------------') + print("output directory folder didn't exist and was generated") + print('-------------------------------------------') + + #output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted' + if not os.path.exists(png_output_directory): + os.makedirs(png_output_directory) + print('-------------------------------------------') + print("output directory folder didn't exist and was generated") + print('-------------------------------------------') + #==========================================================# + #Load data file + if variable == 'depth': + Clim_Var_CSVs = glob.glob('*' + variable + '*') + clim_var_csv_path = Clim_Var_CSVs[0] + df = pd.read_csv(clim_var_csv_path, index_col=False, sep=' ') + df.index = pd.to_datetime(df.Year, format = '%Y') + pd.to_timedelta(df.Hour, unit='h') + df= df.drop(columns=['Year', 'Hour']) + if variable == 'vel': + #x velocity + Clim_Var_CSVs = glob.glob('*' +'x'+ variable + '*') + clim_var_csv_path = Clim_Var_CSVs[0] + df = pd.read_csv(clim_var_csv_path, index_col=False, sep=' ') + df.index = pd.to_datetime(df.Year, format = '%Y') + pd.to_timedelta(df.Hour, unit='h') + dfx= df.drop(columns=['Year', 'Hour','1']) + #y velocity + Clim_Var_CSVs = glob.glob('*' +'y'+ variable + '*') + clim_var_csv_path = Clim_Var_CSVs[0] + df = pd.read_csv(clim_var_csv_path, index_col=False, sep=' ') + df.index = pd.to_datetime(df.Year, format = '%Y') + pd.to_timedelta(df.Hour, unit='h') + dfy= df.drop(columns=['Year', 'Hour','1']) + df = np.sqrt(dfx*dfx + dfy*dfy) + + #if f == 'HCC040': + # df.index = df.index + pd.to_timedelta(72, unit='h') + #append to summary data frame + if f == 'HCC010': + scname = 'Present' + if f == 'HCC011': + scname = 'Near_Future' + df.index = df.index - (datetime.strptime('2025 01 01', '%Y %m %d').date() - datetime.strptime('1995 01 01', '%Y %m %d').date()) + if f == 'HCC012': + scname = 'Far_Future' + df.index = df.index - (datetime.strptime('2065 01 01', '%Y %m %d').date() - datetime.strptime('1995 01 01', '%Y %m %d').date()) + if f == 'HCC040': + scname = 'Present_Resto' + df.columns = df.columns+'_'+ scname + Summary_df = pd.concat([Summary_df, df], axis=1, join='outer') + +#cut down the summary df to common years +Summary_df = Summary_df[datetime.strptime(str(startyear) + ' 01 05', '%Y %m %d').date():datetime.strptime(str(endyear) + ' 12 31', '%Y %m %d').date()] +Summary_df.tail() + +for NODE in node: + NODE = str(NODE) + #=========# + #comparison time series plot at node + #=========# + #out name + png_out_file_name = comparison_code + '_' + variable + '_' + NODE + '_time_series.png' + png_out_path = png_output_directory + '/' + png_out_file_name + # + plotin_df = Summary_df.filter(regex=NODE) + #prepare data frame for plot + fig = plt.figure(figsize=(14,18)) + ax=plt.subplot(4,1,1) + #start and end dat of plots + plt.title(variable + '_' + NODE + ' - time series') + start_date = datetime(int('1996'), int('02'), int('01')) + end_date = datetime(int('1996'), int('02'), int('5')) + plotin_df1=plotin_df[start_date:end_date] + ymin = min(plotin_df1.min()) - 0.01 *min(plotin_df1.min()) + ymax = max(plotin_df1.max()) + 0.01 *max(plotin_df1.max()) + plotin_df1.plot(ylim=(ymin,ymax) ,legend=False, ax=ax) + #plt.legend( loc=1) + plt.xticks([]) + + ax=plt.subplot(4,1,2) + start_date = datetime(int('1996'), int('02'), int('01')) + end_date = datetime(int('1996'), int('02'), int('3')) + plotin_df2=plotin_df[start_date:end_date] + ymin = min(plotin_df2.min()) - 0.1 *min(plotin_df2.min()) + ymax = max(plotin_df2.max()) + 0.1 *max(plotin_df2.max()) + plotin_df2.plot(ylim=(ymin,ymax),legend=False, ax=ax) + #plt.legend( loc=1) + ax.xaxis.grid(False) + + ax=plt.subplot(4,1,3) + plt.title(variable + '_' + NODE + ' - monthly maximum') + Monthly_max = plotin_df.resample('M').max() + Monthly_max.plot(ax=ax,legend=False) + plt.legend( loc=1) + ax.xaxis.grid(False) + + ax=plt.subplot(4,1,4) + plt.title(variable + '_' + NODE + ' - monthly mean') + Monthly_mean = plotin_df.resample('M').mean() + Monthly_mean.plot(ax=ax) + #plt.legend(bbox_to_anchor=(0., 1.02, 1., .102), loc=3, + # ncol=2, mode="expand", borderaxespad=0.) + #plt.legend( loc=1) + ax.xaxis.grid(False) + + #ax.patch.set_alpha(ALPHA_figs) + fig.patch.set_alpha(ALPHA_figs) + fig.tight_layout() + fig.savefig(png_out_path) + plt.close() + #=========# + + + diff --git a/08_Results/RMA_result_explorer/RM11_Result_Extraction_VH.py b/08_Results/RMA_result_explorer/RM11_Result_Extraction_VH.py new file mode 100644 index 0000000..ae3a144 --- /dev/null +++ b/08_Results/RMA_result_explorer/RM11_Result_Extraction_VH.py @@ -0,0 +1,105 @@ +# Set working direcotry where python code is located and results are to be stored +import os +os.chdir('C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/RMA_result_explorer') +from pylab import * +import sys +from py_rmatools import rma + + +#==========================================================# +#Input parameters +#==========================================================# +#print "Enter the RMA filename (without extension):" +#f=raw_input() + +#set beginning and end years and corresponding scenario code +run='HCC012' +startyear=2065 +endyear=2067 +year=range(startyear, endyear+1) + +#set model element nodes from chainage file +node=[666, 59,527] +#set run directory where RMA results are located +run_directory = 'I:/ENG/WRL/WRL1/Project wrl2016032/Hunter_CC_Modeling/Completed_Simulations/' + run +'/' +#set directory path for output files +output_directory = 'C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/Output/'+ run + '/' +#==========================================================# + + + +#output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted' +if not os.path.exists(output_directory): + os.makedirs(output_directory) + print('-------------------------------------------') + print("output directory folder didn't exist and was generated") + print('-------------------------------------------') + +time=[] +files=[] + +for ii in node: + files.append(output_directory + run + '_%d_WQ.txt' %ii) + +print node +I_const=[1,2] + +for kk in list(enumerate(node)): + target = open(files[kk[0]], 'w') + target.write("Year Hour") + for ii in I_const: + target.write(" %d" %(ii)) + target.write("\n") + target.close() + + +for jj in year: + print jj + f=run_directory + run +'_%d_SAL' %jj + R=rma() + R.open(f) + while R.next(): + time.append(R.time) + for kk in list(enumerate(node)): + target = open(files[kk[0]], 'a') + target.write("%i %f" %(jj,time[-1])) + for ii in I_const: + target.write(" %f" %(R.constit[ii][kk[1]])) + target.write("\n") + target.close() + +########################### + + + + +#I_const=[1,2] +#filename1= output_directory + run + '_SAL.txt' +#target = open(filename1, 'w') +#target.write("Year Hour ") +#for inode in node: +# target.write("%i " % inode) +#target.write('\n') +#print (filename1) +#for jj in year: +# f1=run_directory + run + '_%d' %jj +# R=rma() +# print(f1) +# R.open(f1) +# print (jj) +# while R.next(): +# time.append(R.time) +# for kk in list(enumerate(node)): +# target.write("%i %f" %(jj,time[-1])) +# target.write(" %f" %(R.constit[I_const[0]][kk[1]])) +# target.write('\n') +#target.close() + + + +#for kk in node: + +# filename1='DataCR046_%d_.txt' %kk + + +# diff --git a/08_Results/RMA_result_explorer/RM2_Result_Extraction_VH.py b/08_Results/RMA_result_explorer/RM2_Result_Extraction_VH.py new file mode 100644 index 0000000..f2bab59 --- /dev/null +++ b/08_Results/RMA_result_explorer/RM2_Result_Extraction_VH.py @@ -0,0 +1,140 @@ + +#==========================================================# +#Load packages +#==========================================================# +# Set working direcotry where python code is located and results are to be stored +import os +os.chdir('C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/RMA_result_explorer') +from py_rmatools_v02 import rma +#==========================================================# + + +#==========================================================# +#Input parameters +#==========================================================# +#print "Enter the RMA filename (without extension):" +#f=raw_input() + + + +#set beginning and end years and corresponding scenario code +f='HCC011' +startyear=2025 +endyear=2027 +year=range(startyear, endyear+1) + +#set model element nodes from chainage file +node=[837, 666, 981, 59,527, 34, 1, 391] + + +#set run directory where RMA results are located +run_directory = 'I:/ENG/WRL/WRL1/Project wrl2016032/Hunter_CC_Modeling/Completed_Simulations/' + f +'/' +#set directory path for output files +output_directory = 'C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/Output/'+ f + '/' +#==========================================================# + + + +#==========================================================# +#100% automated part of the code doing the data extraction +#==========================================================# +#output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted' +if not os.path.exists(output_directory): + os.makedirs(output_directory) + print('-------------------------------------------') + print("output directory folder didn't exist and was generated") + print('-------------------------------------------') + +time=[] +xvel=[] +yvel=[] +totvel=[] +elevation=[] +depth=[] +#==========================================================# +#exctract depth +#==========================================================# +filename1= output_directory + f+'_depth.txt' +target = open(filename1, 'w') +target.write("Year Hour ") +for inode in node: + target.write("%i " % inode) +target.write('\n') +print (filename1) +for jj in year: + f1=run_directory + f + '_%d' %jj + R=rma() + print(f1) + R.open(f1) + print (jj) + + while R.next(): + time.append(R.time) + target.write("%.0f %r " %(jj,R.time)) + for inode in node: + target.write("%f " % R.depth[inode]) + target.write('\n') + +#print (" Press any ENTER to exit") +target.close() +#f=input() +#==========================================================# + +#==========================================================# +#exctract xvel +#==========================================================# +filename1= output_directory + f+'_xvel.txt' +target = open(filename1, 'w') + +target.write("Year Hour ") +for inode in node: + target.write("%i " % inode) +target.write('\n') +print (filename1) +for jj in year: + f1=run_directory + f + '_%d' %jj + R=rma() + print(f1) + R.open(f1) + print (jj) + + while R.next(): + time.append(R.time) + target.write("%.0f %r " %(jj,R.time)) + for inode in node: + target.write("%f " % R.xvel[inode]) + target.write('\n') +#print (" Press any ENTER to exit") +target.close() +#f=input() +#==========================================================# + +#==========================================================# +#xvel +#==========================================================# +filename1= output_directory + f+'_yvel.txt' +target = open(filename1, 'w') + +target.write("Year Hour ") +for inode in node: + target.write("%i " % inode) +target.write('\n') +print (filename1) +for jj in year: + f1=run_directory + f + '_%d' %jj + R=rma() + print(f1) + R.open(f1) + print (jj) + + while R.next(): + time.append(R.time) + target.write("%.0f %r " %(jj,R.time)) + for inode in node: + target.write("%f " % R.yvel[inode]) + target.write('\n') + +#print (" Press any ENTER to exit") +target.close() +#f=input() +#==========================================================# \ No newline at end of file diff --git a/08_Results/RMA_result_explorer/RMA11_ConstituentRev2.py b/08_Results/RMA_result_explorer/RMA11_ConstituentRev2.py new file mode 100644 index 0000000..a884f9b --- /dev/null +++ b/08_Results/RMA_result_explorer/RMA11_ConstituentRev2.py @@ -0,0 +1,81 @@ +# Set working direcotry where python code is located and results are to be stored +import os +os.chdir('C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/RMA_result_explorer') +from pylab import * +import sys +from py_rmatools import rma + + +#==========================================================# +#Input parameters +#==========================================================# +#print "Enter the RMA filename (without extension):" +#f=raw_input() + +#set beginning and end years and corresponding scenario code +f='HCC011' +startyear=2025 +endyear=2027 +year=range(startyear, endyear+1) + +#set model element nodes from chainage file +node=[837, 666, 981, 59,527, 34, 1, 391] +node=[837, 666] +#set run directory where RMA results are located +run_directory = 'I:/ENG/WRL/WRL1/Project wrl2016032/Hunter_CC_Modeling/Completed_Simulations/' + f +'/' +#set directory path for output files +output_directory = 'C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/Output/'+ f + '/' +#==========================================================# + + + +#output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted' +if not os.path.exists(output_directory): + os.makedirs(output_directory) + print('-------------------------------------------') + print("output directory folder didn't exist and was generated") + print('-------------------------------------------') + +time=[] +files=[] +for ii in node: + files.append(output_directory + f + '_%d_.txt' %ii) + +print node +I_const=[1,2] + +for kk in list(enumerate(node)): + target = open(files[kk[0]], 'w') + target.write("Year Hour") + for ii in I_const: + target.write(" %d" %(ii)) + target.write("\n") + target.close() + + +for jj in year: + print jj + f=run_directory + f +'_%d_SAL' %jj + R=rma() + R.open(f) + while R.next(): + time.append(R.time) + for kk in list(enumerate(node)): + target = open(files[kk[0]], 'a') + target.write("%i %f" %(jj,time[-1])) + for ii in I_const: + target.write(" %f" %(R.constit[ii][kk[1]])) + target.write("\n") + target.close() + + + + + + +#for kk in node: + +# filename1='DataCR046_%d_.txt' %kk + + +# diff --git a/08_Results/RMA_result_explorer/RMA2SERAPHIN_VH.py b/08_Results/RMA_result_explorer/RMA2SERAPHIN_VH.py new file mode 100644 index 0000000..ab415d9 --- /dev/null +++ b/08_Results/RMA_result_explorer/RMA2SERAPHIN_VH.py @@ -0,0 +1,391 @@ + +# coding: utf-8 + +# In[64]: + +# Set working direcotry where python code is located and results are to be stored +import os +os.chdir('C:/Users/z5025317/OneDrive - UNSW/Hunter_CC_Modeling/08_Results/RMA_result_explorer') + +import struct +import matplotlib.pyplot as plt +import math +from py_rmatools import rma + +get_ipython().magic('matplotlib qt') +plt.rcParams.update({'figure.max_open_warning': 0}) + + +f='HCC010' +#set run directory where RMA results are located +run_directory = 'I:/ENG/WRL/WRL1/Project wrl2016032/Hunter_CC_Modeling/Completed_Simulations/' + +#set directory path for output files +output_directory = 'Output/'+ f + '/' +#output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted' +if not os.path.exists(output_directory): + os.makedirs(output_directory) + print('-------------------------------------------') + print("output directory folder didn't exist and was generated") + print('-------------------------------------------') + +# In[65]: + +meshFilename = 'hcc002.rm1' +channelWidth = 100 +RMAfilename = run_directory + f + '/' + f + '_1995_SAL' + +#If RMA11 +constNum = [1] + + +# In[66]: + +def isElementOneD(nodelist): + if len(nodelist) == 2: + return True + return False + +def isElementSquare(nodelist): + if len(nodelist) == 4: + return True + return False + +def square2Triangle(ElementNum): + nodelist = ElementDict[ElementNum] + if isElementSquare(nodelist): + ElementDict[ElementNum] = [nodelist[0], nodelist[1], nodelist[2]] + ElementList.append(max(ElementList) + 1) + ElementDict[ElementList[-1]]= [nodelist[0], nodelist[2], nodelist[3]] + +def oneD2triangle(ElementNum): + if isElementOneD(ElementDict[ElementNum]): + nAe = ElementDict[ElementNum][0] #nAe Node A existing + nBe = ElementDict[ElementNum][1] + + if not nAe in node1Dduplicate: node1Dduplicate[nAe] = [] + if not nBe in node1Dduplicate: node1Dduplicate[nBe] = [] + + xA = nodeDict[nAe][0] + xB = nodeDict[nBe][0] + yA = nodeDict[nAe][1] + yB = nodeDict[nBe][1] + + normalVec = [-(yB - yA),(xB - xA)] + dist = math.sqrt(normalVec[0]**2 + normalVec[1]**2) + normalVec[0] = normalVec[0] / dist + normalVec[1] = normalVec[1] / dist + xA2 = xA + channelWidth * normalVec[0] + xB2 = xB + channelWidth * normalVec[0] + yA2 = yA + channelWidth * normalVec[1] + yB2 = yB + channelWidth * normalVec[1] + + + nA = max(NodeList) + 1 + nB = max(NodeList) + 2 + + node1Dduplicate[nAe].append(nA) + node1Dduplicate[nBe].append(nB) + + node2nodevalue[nA] = nAe + node2nodevalue[nB] = nBe + + + NodeList.append(nA) + NodeList.append(nB) + nodeDict[nA] = [xA2, yA2, -1.01] + nodeDict[nB] = [xB2, yB2, -1.01] + + newEle = max(ElementList) + 1 + ElementList .append(newEle) + ElementDict[ElementNum] = [nAe, nA, nBe] + ElementDict[newEle] = [nA, nB, nBe] + +def RMA11toSerafin(): + f = open('{}.slf'.format(RMAfilename), 'wb') + + f.write(struct.pack(">l",80)) + str='{0: >80}'.format('SERAFIN ') + f.write(str.encode('ascii')) + f.write(struct.pack(">l",80)) + + f.write(struct.pack(">l",8)) + f.write(struct.pack(">l",len(constNum))) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",8)) + + for c in constName: + f.write(struct.pack(">l",32)) + str='{0: <32}'.format(c) + f.write(str.encode('ascii')) + f.write(struct.pack(">l",32)) + + + f.write(struct.pack(">l",40)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",40)) + + f.write(struct.pack(">l",24)) + f.write(struct.pack(">l",R.year)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",24)) + + f.write(struct.pack(">l",16)) + f.write(struct.pack(">l",len(ElementList))) + f.write(struct.pack(">l",len(NodeList))) + f.write(struct.pack(">l",3)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",16)) + + + f.write(struct.pack(">l",len(ElementList)*3*4)) + for el in ElementList: + for nd in ElementDict[el]: + f.write(struct.pack(">l",nodeOrdered[nd])) + f.write(struct.pack(">l",len(ElementList)*3*4)) + + f.write(struct.pack(">l",len(NodeList))) + for i in range(0,len(NodeList)): + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",len(NodeList))) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + f.write(struct.pack(">f",value[0])) + f.write(struct.pack(">l",len(NodeList)*4)) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + f.write(struct.pack(">f",value[1])) + f.write(struct.pack(">l",len(NodeList)*4)) + + + + while R.next(): + #for i in range(3): + f.write(struct.pack(">l",4)) + f.write(struct.pack(">f",R.time * 3600)) + f.write(struct.pack(">l",4)) + + for c in constNum: + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + if key in node2nodevalue.keys(): + f.write(struct.pack(">f",R.constit[c][node2nodevalue[key]])) + else: + f.write(struct.pack(">f",R.constit[c][key])) + + f.write(struct.pack(">l",len(NodeList)*4)) + + R.next() + + f.close() + + + +def RMA2toSerafin(): + f = open('{}.slf'.format(RMAfilename), 'wb') + + f.write(struct.pack(">l",80)) + str='{0: >80}'.format('SERAFIN ') + f.write(str.encode('ascii')) + f.write(struct.pack(">l",80)) + + f.write(struct.pack(">l",8)) + f.write(struct.pack(">l",len(constName))) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",8)) + + for c in constName: + f.write(struct.pack(">l",32)) + str='{0: <32}'.format(c) + f.write(str.encode('ascii')) + f.write(struct.pack(">l",32)) + + + f.write(struct.pack(">l",40)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",40)) + + f.write(struct.pack(">l",24)) + f.write(struct.pack(">l",R.year)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",24)) + + f.write(struct.pack(">l",16)) + f.write(struct.pack(">l",len(ElementList))) + f.write(struct.pack(">l",len(NodeList))) + f.write(struct.pack(">l",3)) + f.write(struct.pack(">l",1)) + f.write(struct.pack(">l",16)) + + + f.write(struct.pack(">l",len(ElementList)*3*4)) + for el in ElementList: + for nd in ElementDict[el]: + f.write(struct.pack(">l",nodeOrdered[nd])) + f.write(struct.pack(">l",len(ElementList)*3*4)) + + f.write(struct.pack(">l",len(NodeList))) + for i in range(0,len(NodeList)): + f.write(struct.pack(">l",0)) + f.write(struct.pack(">l",len(NodeList))) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + f.write(struct.pack(">f",value[0])) + f.write(struct.pack(">l",len(NodeList)*4)) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + f.write(struct.pack(">f",value[1])) + f.write(struct.pack(">l",len(NodeList)*4)) + + + + while R.next(): + + f.write(struct.pack(">l",4)) + f.write(struct.pack(">f",R.time * 3600)) + f.write(struct.pack(">l",4)) + + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + if key in node2nodevalue.keys(): + f.write(struct.pack(">f",R.xvel[node2nodevalue[key]])) + else: + f.write(struct.pack(">f",R.xvel[key])) + f.write(struct.pack(">l",len(NodeList)*4)) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + if key in node2nodevalue.keys(): + f.write(struct.pack(">f",R.yvel[node2nodevalue[key]])) + else: + f.write(struct.pack(">f",R.yvel[key])) + f.write(struct.pack(">l",len(NodeList)*4)) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + if key in node2nodevalue.keys(): + f.write(struct.pack(">f",R.depth[node2nodevalue[key]])) + else: + f.write(struct.pack(">f",R.depth[key])) + f.write(struct.pack(">l",len(NodeList)*4)) + + f.write(struct.pack(">l",len(NodeList)*4)) + for key, value in nodeDict.items(): + if key in node2nodevalue.keys(): + f.write(struct.pack(">f",R.elevation[node2nodevalue[key]])) + else: + f.write(struct.pack(">f",R.elevation[key])) + f.write(struct.pack(">l",len(NodeList)*4)) + + + R.next() + + f.close() + + +# In[67]: + +#Read mesh file and extract node (except mid node) and elements - plus convert 1D element to 2D for vizualisation +NodeList = [] +ElementList = [] +ElementDict = {} +nodeDict = {} +node1Dduplicate = {} #Original Number: List of Duplicates +node2nodevalue = {} #link between the node number and the node value to use + #(e.g. if node 10 is a 1D node: 10 is not duplicate so {1:1}, + #but node 2050 (duplicate of 10) (1D to 2D) the value of the duplicated + #node will be the same as the original so we might have {2050: 10}) + +with open(meshFilename) as f: + line = f.readline() + line = f.readline() + line = f.readline() + line = f.readline() + + cpt = 1 + while line and line != ' 9999\n': + temp = line.split() + ElementDict[int(temp[0])] = [int(temp[i]) for i in range(1,9,2) if temp[i] != '0' and int(temp[9]) < 100] + ElementList.append(int(temp[0])) + line = f.readline() + + for key, value in ElementDict.items(): + NodeList.extend(value) + + NodeList = list(set(NodeList)) + + line = f.readline() + while line and line != ' 9999\n': + temp = line.split() + if int(temp[0]) in NodeList: + nodeDict[int(temp[0])] = [float(temp[1]),float(temp[2]),float(temp[3])] + line = f.readline() + + +for e in ElementList: + oneD2triangle(e) + square2Triangle(e) + +for key in list(ElementDict): #Remove Special Element 902..... + if len(ElementDict[key]) != 3: + print(key, ElementDict[key]) + ElementDict.pop(key) + ElementList.remove(key) + +nodeOrdered = {} +cpt = 1 +for key, value in nodeDict.items(): + nodeOrdered[key] = cpt + cpt +=1 + + + +# # Open and Read First Step of the RMA File and Save a Serafin + +# In[72]: + +R=rma() +R.open(RMAfilename) +R.next() + +if R.type==b'RMA11 ': + constName = [] + for c in constNum: + constName.append(R.constit_name[c].decode("utf-8")) + RMA11toSerafin() + +if R.type==b'RMA2 ': + constName = ['X-VEL','Y-VEL','DEPTH','FREE SURFACE'] + RMA2toSerafin() + diff --git a/08_Results/RMA_result_explorer/py_rmatools.py b/08_Results/RMA_result_explorer/py_rmatools.py new file mode 100644 index 0000000..76500cc --- /dev/null +++ b/08_Results/RMA_result_explorer/py_rmatools.py @@ -0,0 +1,163 @@ +from struct import * +from pylab import * +import sys + +# Updated 10/11/15 BMM : Added mesh. +# Updated 10/11/15 MD : Added dictionnary initialisation in mesh. + +class rma: + def __init__(self): + self.file='not opened yet' + # May want to do some other things here later + + def open(self,filename): + self.file=open(('%s.rma' % (filename)),'rb') + self.header=self.file.read(1000) + self.type=self.header[0:10] + self.title=self.header[100:172] + self.geometry=self.header[200:300] + self.num_nodes=int(self.header[40:50]) + self.num_elements=int(self.header[50:60]) + if self.type==b'RMA11 ': + self.num_constits=int(self.header[60:70]) + if len(self.header[80:90].strip())==0: + self.num_sedlayers=0 + else: + self.num_sedlayers=int(self.header[80:90]) + self.constit_name=[] + self.constit_name.append("NULL") + i=1 + #print(self.num_constits) + while i <= self.num_constits: + #print(i, self.num_constits, i <= self.num_constits) + self.constit_name.append(self.header[300+(i-1)*8:308+(i-1)*8]) + if self.header[300+(i-1)*8:308+(i-1)*8]==" SSED ": + self.constit_name.append(" BSHEAR") + self.constit_name.append("BedThick") + j=1 + while j<=self.num_sedlayers: + self.constit_name.append(" L%dThick" % j) + j=j+1 + i=i+1 + #if self.num_sedlayers > 0: + # self.num_constits=self.num_constits+2+self.num_sedlayers + + # Header format in RMA2 + + # HEADER(1:10) ='RMA2 ' + # HEADER(11:20)=DATEC = Date of run + # HEADER(21:30)=TIMEC = Time of run + # HEADER(31:40)=ZONEC = Time zone + # HEADER(41:50)=NP = Number of nodes + # HEADER(51:60)=NE = Number of elements + # HEADER(101:172)=TITLE = Title line + # HEADER(201:300)=FNAME = File name of binary geometry + + # Header format in RMA11 + # HEADER(1:10) - Model + # HEADER(11:20) - DATEC of model runtime + # HEADER(21:30) - TIMEC of model runtime + # HEADER(31:40) - ZONEC of model runtime + # HEADER(41:90) - '(5I10)' NP,NE,NQAL,IGS,LGS or '(5I10)' NP,NE,NQAL,ISEDS,NLAYT + # HEADER(101:172) - TITLE + # HEADER(301:540) - '(30A8)' CLABL + # HEADER(201:248) - FNAMD directory of the geometry + # HEADER(251:298) - FNAM2 filename of the geometry + + def mesh(self,filename): + self.meshfile=open(('%s.rm1' % (filename)),'r') + l=self.meshfile.readline() + while l[0:5]!=' 9999' and len(l)!=5: + l=self.meshfile.readline() + l=self.meshfile.readline() + self.node_e={} + self.node_n={} + self.node_z={} + while l[0:10]!=' 9999' and len(l)!=10: + ll=l.split() + self.node_e[ll[0]]=ll[1] + self.node_n[ll[0]]=ll[2] + self.node_z[ll[0]]=ll[3] + l=self.meshfile.readline() + + + def next(self): + # This reads the next timestep and populates the variables. + # Reset all of the variables + self.time=0.0 + self.year=0 + self.xvel=[] + self.yvel=[] + self.zvel=[] + self.depth=[] + self.elevation=[] + + # Add in an entry to fill position 0. Important since RMA files start numbering nodes from 1. + self.xvel.append(-999) + self.yvel.append(-999) + self.zvel.append(-999) + self.depth.append(-999) + self.elevation.append(-999) + + if self.type==b'RMA2 ': + # WRITE(IRMAFM) TETT,NP,IYRR,((VEL(J,K),J=1,3),K=1,NP),(WSEL(J),J=1,NP),(VDOT(3,K),K=1,NP) + t=self.file.read(12) + if t: + a=unpack('fii',t) + self.time=a[0] + np=int(a[1]) + self.year=a[2] + if (np!=self.num_nodes): + print ("Warning - NP (%d) on this timestep does not match header (%d)" % (np,self.num_nodes)) + b=unpack('%df' % 5*np, self.file.read(20*np)) + i=1 + while i<=np: + self.xvel.append(b[0+(i-1)*3]) + self.yvel.append(b[1+(i-1)*3]) + self.depth.append(b[2+(i-1)*3]) + self.elevation.append(b[np*3+(i-1)]) + i=i+1 + + if self.type==b'RMA11 ': + self.constit=[] + c=0 + # Start at zero to leave an empty array space. Constits numbered 1 .. num_constits + while c<=self.num_constits: + self.constit.append([]) + # Put a null into the 0 position so that RMA node numbers are in the same numbered array position. + self.constit[c].append(-999) + c=c+1 + # READ(file1,END=100) TETT1,NQAL,NP,IYRR, ((VEL(K,J),J=1,NP),K=1,3), (wd(j),j=1,np), (wsel(j),j=1,np), ((TCON1(K,J),J=1,NP),K=1,NQAL-5) + t=self.file.read(16) + if t: + a=unpack('fiii',t) + self.time=a[0] + nqal=int(a[1]) + np=int(a[2]) + self.year=a[3] + if ((nqal-5)!=(self.num_constits)): + print ("Warning - NQAL-5 (%d) on this timestep does not match header (%d)" % (nqal-5,self.num_constits)) + if (np!=self.num_nodes): + print ("Warning - NP (%d) on this timestep does not match header (%d)" % (np,self.num_nodes)) + b=unpack('%df' % nqal*np, self.file.read(4*nqal*np)) + i=1 + while i<=np: + + self.xvel.append(b[0+(i-1)*3]) + self.yvel.append(b[1+(i-1)*3]) + self.zvel.append(b[2+(i-1)*3]) + self.depth.append(b[np*3+(i-1)]) + self.elevation.append(b[np*4+(i-1)]) + c=1 + while c<=self.num_constits: + self.constit[c].append(b[np*((c-1)+5)+(i-1)]) + c=c+1 + i=i+1 + + + if len(self.xvel)==1: + # Note that this is a 1 now as we've filled the zero array position + return False + else: + return True + diff --git a/08_Results/RMA_result_explorer/py_rmatools_v02.py b/08_Results/RMA_result_explorer/py_rmatools_v02.py new file mode 100644 index 0000000..3dea03c --- /dev/null +++ b/08_Results/RMA_result_explorer/py_rmatools_v02.py @@ -0,0 +1,199 @@ +from struct import * +from pylab import * +import sys + + +# Updated 10/11/15 BMM : Added mesh. +# Updated 10/11/15 MD : Added dictionnary initialisation in mesh. + +class rma: + def __init__(self): + self.file = 'not opened yet' + + # May want to do some other things here later + + def open(self, filename): + self.file = open(('%s.rma' % (filename)), 'rb') + self.header = self.file.read(1000).decode("utf-8") + self.type = self.header[0:10] + self.title = self.header[100:172] + self.geometry = self.header[200:300] + self.num_nodes = int(self.header[40:50]) + self.num_elements = int(self.header[50:60]) + if self.type == 'RMA11 ': + self.num_constits = int(self.header[60:70]) + if len(self.header[80:90].strip()) == 0: + self.num_sedlayers = 0 + else: + self.num_sedlayers = int(self.header[80:90]) + self.constit_name = [] + self.constit_name.append("NULL") + i = 1 + print(self.num_constits) + print(self.header[300:1000]) + while i <= self.num_constits: + # print self.header[300:400] + self.constit_name.append(self.header[300 + (i - 1) * 8:308 + (i - 1) * 8]) + if self.header[300 + (i - 1) * 8:308 + (i - 1) * 8] == " SSED ": + self.constit_name.append(" BSHEAR") + self.constit_name.append("BedThick") + j = 1 + print(self.num_sedlayers) + while j <= self.num_sedlayers: + self.constit_name.append(" L%dThick" % j) + j = j + 1 + i = i + 1 + # print i + + # print self.num_constits + # print i + # if self.num_sedlayers > 0: + # self.num_constits=self.num_constits+2+self.num_sedlayers + + # Header format in RMA2 + + # HEADER(1:10) ='RMA2 ' + # HEADER(11:20)=DATEC = Date of run + # HEADER(21:30)=TIMEC = Time of run + # HEADER(31:40)=ZONEC = Time zone + # HEADER(41:50)=NP = Number of nodes + # HEADER(51:60)=NE = Number of elements + # HEADER(101:172)=TITLE = Title line + # HEADER(201:300)=FNAME = File name of binary geometry + + # Header format in RMA11 + # HEADER(1:10) - Model + # HEADER(11:20) - DATEC of model runtime + # HEADER(21:30) - TIMEC of model runtime + # HEADER(31:40) - ZONEC of model runtime + # HEADER(41:90) - '(5I10)' NP,NE,NQAL,IGS,LGS or '(5I10)' NP,NE,NQAL,ISEDS,NLAYT + # HEADER(101:172) - TITLE + # HEADER(301:540) - '(30A8)' CLABL + # HEADER(201:248) - FNAMD directory of the geometry + # HEADER(251:298) - FNAM2 filename of the geometry + + def mesh(self, filename): + self.meshfile = open(('%s.rm1' % (filename)), 'r') + l = self.meshfile.readline() + + while l[0:5] != ' 9999' and len(l) != 5: + l = self.meshfile.readline() + l = self.meshfile.readline() + self.node_e = {} + self.node_n = {} + self.node_z = {} + while l[0:10] != ' 9999' and len(l) != 10: + ll = l.split() + self.node_e[ll[0]] = ll[1] + self.node_n[ll[0]] = ll[2] + self.node_z[ll[0]] = ll[3] + l = self.meshfile.readline + + def next(self): + # This reads the next timestep and populates the variables. + # Reset all of the variables + self.time = 0.0 + self.year = 0 + self.xvel = [] + self.yvel = [] + self.zvel = [] + self.depth = [] + self.elevation = [] + self.temperature = [] + self.salinity = [] + self.sussed = [] + + # Add in an entry to fill position 0. Important since RMA files start numbering nodes from 1. + self.xvel.append(-999) + self.yvel.append(-999) + self.zvel.append(-999) + self.depth.append(-999) + self.elevation.append(-999) + self.temperature.append(-999) + self.salinity.append(-999) + self.sussed.append(-999) + + if self.type == 'RMA2 ': + # WRITE(IRMAFM) TETT,NP,IYRR,((VEL(J,K),J=1,3),K=1,NP),(WSEL(J),J=1,NP),(VDOT(3,K),K=1,NP) + t = self.file.read(12) + if t: + a = unpack('fii', t) + self.time = a[0] + np = int(a[1]) + self.year = a[2] + if (np != self.num_nodes): + print("Warning - NP (%d) on this timestep does not match header (%d)" % (np, self.num_nodes)) + b = unpack('%df' % 5 * np, self.file.read(20 * np)) + tempA = [(x - 1) * 3 for x in range(1, np + 1)] + tempB = [np * 3 + (x - 1) for x in range(1, np + 1)] + self.xvel.extend([b[i] for i in tempA]) + self.yvel.extend([b[i + 1] for i in tempA]) + self.depth.extend([b[i + 2] for i in tempA]) + self.elevation.extend([b[i] for i in tempB]) + + if self.type == 'RMA11 ': + self.constit = [] + c = 0 + # Start at zero to leave an empty array space. Constits numbered 1 .. num_constits + while c <= self.num_constits: + self.constit.append([]) + # Put a null into the 0 position so that RMA node numbers are in the same numbered array position. + self.constit[c].append(-999) + c = c + 1 + # READ(file1,END=100) TETT1,NQAL,NP,IYRR, ((VEL(K,J),J=1,NP),K=1,3), (wd(j),j=1,np), (wsel(j),j=1,np), ((TCON1(K,J),J=1,NP),K=1,NQAL-5) + t = self.file.read(16) + if t: + a = unpack('fiii', t) + self.time = a[0] + nqal = int(a[1]) + np = int(a[2]) + self.year = a[3] + if ((nqal - 5) != (self.num_constits)): + print("Warning - NQAL-5 (%d) on this timestep does not match header (%d)" % ( + nqal - 5, self.num_constits)) + if (np != self.num_nodes): + print("Warning - NP (%d) on this timestep does not match header (%d)" % (np, self.num_nodes)) + b = unpack('%df' % nqal * np, self.file.read(4 * nqal * np)) + + tempA = [(x - 1) * 3 for x in range(1, np + 1)] + tempB = [np * 3 + (x - 1) for x in range(1, np + 1)] + tempC = [np * 4 + (x - 1) for x in range(1, np + 1)] + self.xvel.extend([b[i] for i in tempA]) + self.yvel.extend([b[i + 1] for i in tempA]) + self.zvel.extend([b[i + 2] for i in tempA]) + self.depth.extend([b[i] for i in tempB]) + self.elevation.extend([b[i] for i in tempC]) + for c in range(1, self.num_constits + 1): + (self.constit[c].extend([b[np * ((c - 1) + 5) + (x - 1)] for x in range(1, np + 1)])) + if self.type == 'RMA10 ': + # WRITE(IRMAFM) TETT,NP,NDF,NE,IYRR,((VSING(K,J),K=1,NDF),VVEL(J),WSLL(J),J=1,NP),(DFCT(J),J=1,NE),(VSING(7,J),J=1,NP) + # WRITE(IRMAFM) TETT,NP,IYRR,((VEL(J,K),J=1,3),K=1,NP),(WSEL(J),J=1,NP),(VDOT(3,K),K=1,NP) + t = self.file.read(20) + if t: + a = unpack('fiiii', t) + self.time = a[0] + np = a[1] + ndf = 6 + ne = a[3] + self.year = a[4] + if (np != self.num_nodes): + print("Warning - NP1 (%d) on this timestep does not match header (%d)" % (np, self.num_nodes)) + tempRead = np * (3 + ndf) + ne + b = unpack('%df' % tempRead, self.file.read(4 * tempRead)) + i = 1 + while i <= np: + self.xvel.append(b[0 + (i - 1) * 8]) + self.yvel.append(b[1 + (i - 1) * 8]) + self.depth.append(b[2 + (i - 1) * 8]) + self.salinity.append(b[3 + (i - 1) * 8]) + self.temperature.append(b[4 + (i - 1) * 8]) + self.sussed.append(b[5 + (i - 1) * 8]) + self.zvel.append(b[6 + (i - 1) * 8]) + self.elevation.append(b[7 + (i - 1) * 8]) + i = i + 1 + + if len(self.xvel) == 1: + # Note that this is a 1 now as we've filled the zero array position + return False + else: + return True diff --git a/08_Results/RMA_result_explorer/py_rmatools_v02.pyc b/08_Results/RMA_result_explorer/py_rmatools_v02.pyc new file mode 100644 index 0000000..1ef237f Binary files /dev/null and b/08_Results/RMA_result_explorer/py_rmatools_v02.pyc differ