[5971] | 1 | """ |
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| 2 | Script for building boundary to run tsunami inundation scenario for onslow, |
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| 3 | WA, Australia. The boundary is based on the National Hazard Map. |
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| 4 | |
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| 5 | Input: order_filename from project.py |
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| 6 | Output: creates a sts file and csv files stored in project.boundaries_dir |
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| 7 | The run_patong.py is reliant on the output of this script. |
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| 8 | """ |
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| 9 | import os |
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| 10 | from os import sep |
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| 11 | import project |
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| 12 | |
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| 13 | from anuga.utilities.numerical_tools import ensure_numeric |
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| 14 | from Scientific.IO.NetCDF import NetCDFFile |
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| 15 | from Numeric import asarray,transpose,sqrt,argmax,argmin,arange,Float,\ |
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| 16 | compress,zeros,fabs,allclose,ones |
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| 17 | from anuga.utilities.polygon import inside_polygon,read_polygon |
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| 18 | from time import localtime, strftime, gmtime |
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| 19 | from anuga.shallow_water.data_manager import urs2sts,create_sts_boundary |
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| 20 | |
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| 21 | try: |
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| 22 | from pylab import plot,show,xlabel,ylabel,legend,title,savefig,hold |
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| 23 | except: |
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| 24 | print 'Cannot import pylab plotting will not work. Csv files are still created' |
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| 25 | |
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| 26 | #-------------------------------------------------------------------------- |
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| 27 | # Create sts boundary from mux2files |
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| 28 | #-------------------------------------------------------------------------- |
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| 29 | |
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| 30 | dir=os.path.join(project.boundaries_dir,'mux') |
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| 31 | |
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| 32 | # Refer to event_ |
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| 33 | urs_filenames = [os.path.join(dir,'tgs.out')] |
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| 34 | |
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| 35 | if len(urs_filenames) == 1: #change per event |
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| 36 | weight_factor = 1 |
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| 37 | weights=weight_factor*ones(len(urs_filenames),Float) |
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| 38 | |
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| 39 | scenario_name=project.scenario_name |
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| 40 | order_filename=os.path.join(project.order_filename_dir) |
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| 41 | |
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| 42 | print 'reading', order_filename |
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| 43 | # Create ordered sts file |
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| 44 | print 'creating sts file' |
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| 45 | |
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| 46 | urs2sts(urs_filenames, |
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| 47 | basename_out=os.path.join(project.boundaries_dir,scenario_name), |
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| 48 | ordering_filename=order_filename, |
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| 49 | weights=weights, |
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| 50 | mean_stage=project.tide, |
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| 51 | verbose=True) |
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| 52 | else: |
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| 53 | print 'number of sources do not match event.list' |
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| 54 | |
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| 55 | #------------------------------------------------------------------------------ |
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| 56 | # Get gauges (timeseries of index points) |
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| 57 | #------------------------------------------------------------------------------ |
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| 58 | def get_sts_gauge_data(filename,verbose=False): |
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| 59 | from Numeric import asarray,transpose,sqrt,argmax,argmin,arange,Float,\ |
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| 60 | compress,zeros,fabs,take |
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| 61 | fid = NetCDFFile(filename+'.sts', 'r') #Open existing file for read |
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| 62 | permutation = fid.variables['permutation'][:] |
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| 63 | x = fid.variables['x'][:]+fid.xllcorner #x-coordinates of vertices |
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| 64 | y = fid.variables['y'][:]+fid.yllcorner #y-coordinates of vertices |
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| 65 | points=transpose(asarray([x.tolist(),y.tolist()])) |
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| 66 | time=fid.variables['time'][:]+fid.starttime |
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| 67 | elevation=fid.variables['elevation'][:] |
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| 68 | |
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| 69 | basename='sts_gauge' |
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| 70 | quantity_names=['stage','xmomentum','ymomentum'] |
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| 71 | quantities = {} |
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| 72 | for i, name in enumerate(quantity_names): |
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| 73 | quantities[name] = fid.variables[name][:] |
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| 74 | |
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| 75 | #------------------------------------------------------------------------------ |
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| 76 | # Get Maxium wave height throughout timeseries at each index point |
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| 77 | #------------------------------------------------------------------------------ |
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| 78 | |
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| 79 | maxname = 'max_sts_stage.csv' |
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| 80 | fid_max = open(project.boundaries_dir+sep+maxname,'w') |
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| 81 | s = 'index, x, y, max_stage \n' |
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| 82 | fid_max.write(s) |
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| 83 | for j in range(len(x)): |
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| 84 | index= permutation[j] |
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| 85 | stage = quantities['stage'][:,j] |
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| 86 | xmomentum = quantities['xmomentum'][:,j] |
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| 87 | ymomentum = quantities['ymomentum'][:,j] |
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| 88 | |
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| 89 | s = '%d, %.6f, %.6f, %.6f\n' %(index, x[j], y[j], max(stage)) |
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| 90 | fid_max.write(s) |
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| 91 | |
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| 92 | #------------------------------------------------------------------------------ |
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| 93 | # Get Minium wave height throughout timeseries at each index point |
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| 94 | #------------------------------------------------------------------------------ |
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| 95 | |
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| 96 | minname = 'min_sts_stage.csv' |
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| 97 | fid_min = open(project.boundaries_dir+sep+minname,'w') |
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| 98 | s = 'index, x, y, max_stage \n' |
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| 99 | fid_min.write(s) |
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| 100 | for j in range(len(x)): |
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| 101 | index= permutation[j] |
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| 102 | stage = quantities['stage'][:,j] |
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| 103 | xmomentum = quantities['xmomentum'][:,j] |
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| 104 | ymomentum = quantities['ymomentum'][:,j] |
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| 105 | |
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| 106 | s = '%d, %.6f, %.6f, %.6f\n' %(index, x[j], y[j], min(stage)) |
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| 107 | fid_min.write(s) |
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| 108 | |
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| 109 | |
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| 110 | |
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| 111 | fid_sts = open(project.boundaries_dir+sep+basename+'_'+ str(index)+'.csv', 'w') |
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| 112 | s = 'time, stage, xmomentum, ymomentum \n' |
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| 113 | fid_sts.write(s) |
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| 114 | |
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| 115 | #------------------------------------------------------------------------------ |
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| 116 | # End of the get gauges |
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| 117 | #------------------------------------------------------------------------------ |
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| 118 | for k in range(len(time)-1): |
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| 119 | s = '%.6f, %.6f, %.6f, %.6f\n' %(time[k], stage[k], xmomentum[k], ymomentum[k]) |
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| 120 | fid_sts.write(s) |
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| 121 | |
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| 122 | fid_sts.close() |
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| 123 | |
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| 124 | fid.close() |
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| 125 | |
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| 126 | |
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| 127 | return quantities,elevation,time |
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| 128 | |
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| 129 | quantities,elevation,time=get_sts_gauge_data(os.path.join(project.boundaries_dir,project.scenario_name),verbose=False) |
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| 130 | |
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| 131 | print len(elevation), len(quantities['stage'][0,:]) |
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| 132 | |
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