1 | # -*- coding: cp1252 -*- |
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2 | """Common filenames and locations for topographic data, meshes and outputs. |
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3 | """ |
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4 | |
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5 | |
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6 | from os import sep, environ, getenv, getcwd,umask |
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7 | from os.path import expanduser |
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8 | import sys |
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9 | from time import localtime, strftime, gmtime |
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10 | from anuga.utilities.polygon import read_polygon, plot_polygons, is_inside_polygon, \ |
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11 | number_mesh_triangles, polygon_area |
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12 | from anuga.utilities.system_tools import get_user_name |
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13 | |
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14 | |
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15 | # file and system info |
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16 | #--------------------------------- |
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17 | codename = 'project.py' #used in copy_code_files |
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18 | |
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19 | home = getenv('INUNDATIONHOME') #Sandpit's parent dir |
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20 | user = get_user_name() |
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21 | #needed when running using mpirun, mpirun doesn't inherit umask from .bashrc |
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22 | umask(002) |
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23 | |
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24 | print home |
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25 | |
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26 | # INUNDATIONHOME is the inundation directory, not the data directory. |
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27 | home =home + sep +'data' |
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28 | |
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29 | |
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30 | time = strftime('%Y%m%d_%H%M%S',gmtime()) #gets time for new dir |
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31 | build_time = time+'_build' |
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32 | run_time = time+'_run' |
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33 | print 'time: ', time |
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34 | |
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35 | tide = 0.0 |
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36 | |
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37 | #Making assumptions about the location of scenario data |
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38 | state = 'sri_lanka' |
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39 | scenario_name = 'galle' |
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40 | scenario = 'scenario_galle' |
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41 | ''' |
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42 | # onshore data provided by WA DLI |
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43 | onshore_name = 'DLI_DTED_raster_clipped' # original |
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44 | |
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45 | # AHO + DPI data + colin French coastline |
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46 | coast_name = 'coastline_edited_w_DEM' |
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47 | offshore_name = 'clipped_bathy' |
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48 | offshore1_name = 'elev_501' |
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49 | offshore2_name = 'inferrec_e' |
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50 | |
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51 | #final topo name |
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52 | combined_name ='dampier_combined_elevation' |
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53 | combined_smaller_name = 'dampier_combined_elevation_small' |
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54 | combined_smallest_name = 'dampier_combined_elevation_smallest' |
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55 | ''' |
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56 | anuga_dir = home+sep+state+sep+scenario+sep+'anuga'+sep |
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57 | |
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58 | #topographies_in_dir = home+sep+state+sep+scenario+sep+'elevation_final'+sep+ |
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59 | topographies_dir = anuga_dir+'topographies'+sep |
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60 | |
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61 | # Filenames |
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62 | #data_dir = 'deliverables' + sep + 'points' + sep |
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63 | galle_dem_name = topographies_dir + 'galle' |
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64 | hikka_dem_name = topographies_dir + 'hikka' |
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65 | coast_name = topographies_dir + 'Coast' |
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66 | topo_dem_name = topographies_dir + 'topo' |
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67 | bathycoa_dem_name = topographies_dir + 'bathycoa' |
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68 | bathyfine_dem_name = topographies_dir + 'bathyfine' |
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69 | canal_dem_name = topographies_dir + 'canal' |
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70 | fort_dem_name = topographies_dir + 'gallefort' |
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71 | |
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72 | combined_dem_name = topographies_dir + 'combined' |
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73 | combined_canal_dem_name = topographies_dir + 'combined_canal' |
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74 | combined_small_dem_name = topographies_dir + 'combined_small' |
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75 | combined_canal_fort_dem_name = topographies_dir + 'combined_canal_fort' |
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76 | |
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77 | |
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78 | polygons_dir = anuga_dir+'polygons'+sep |
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79 | |
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80 | meshes_dir = anuga_dir+'meshes'+sep |
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81 | meshes_dir_name = meshes_dir + scenario_name |
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82 | |
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83 | #boundaries locations |
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84 | boundaries_name = 'Sumatra2004_crop' |
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85 | |
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86 | boundaries_in_dir = anuga_dir+'boundaries'+sep+'most'+sep |
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87 | boundaries_in_dir_name = boundaries_in_dir + boundaries_name |
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88 | boundaries_dir = anuga_dir+'boundaries'+sep |
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89 | boundaries_dir_name = boundaries_dir + boundaries_name |
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90 | |
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91 | #output locations |
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92 | output_dir = anuga_dir+'outputs'+sep |
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93 | output_build_time_dir = output_dir+build_time+sep |
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94 | output_run_time_dir = output_dir +run_time+sep |
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95 | output_run_time_dir_name = output_run_time_dir + scenario_name #Used by post processing |
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96 | |
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97 | |
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98 | ############################### |
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99 | # Domain definitions |
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100 | ############################### |
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101 | |
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102 | # poly_clip is used to remove small part from the large coarse 100m data set, |
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103 | # this hole is then filled with the high res 5m data |
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104 | print 'poly dir',polygons_dir |
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105 | poly_clip = read_polygon(polygons_dir+ 'poly.csv') |
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106 | |
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107 | # bounding polygon for study area |
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108 | bounding_polygon = read_polygon(polygons_dir+'regional.csv') |
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109 | res_factor=1 |
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110 | regional_res = 100000*res_factor |
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111 | print 'Area of bounding polygon', polygon_area(bounding_polygon)/1000000.0 |
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112 | |
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113 | ############################### |
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114 | # Interior region definitions |
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115 | ############################### |
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116 | |
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117 | # interior polygons |
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118 | #poly_shallow1 = read_polygon(polygons_dir+'hikkaduwa.csv') |
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119 | #poly_shallow2 = read_polygon(polygons_dir+'galle.csv') |
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120 | |
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121 | poly_intermediate = read_polygon(polygons_dir+'intermediate.csv') |
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122 | poly_shallow = read_polygon(polygons_dir+'shallow.csv') |
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123 | poly_coast = read_polygon(polygons_dir+'coastmesh.csv') |
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124 | poly_canal = read_polygon(polygons_dir+'canalmesh.csv') |
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125 | |
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126 | intermediate_res = 20000*res_factor |
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127 | shallow_res = 2000*res_factor |
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128 | coast_res = 250*res_factor |
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129 | canal_res = 10*res_factor |
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130 | interior_regions = [[poly_intermediate, intermediate_res], |
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131 | [poly_shallow, shallow_res], |
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132 | [poly_coast, coast_res], |
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133 | [poly_canal, canal_res]] |
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134 | |
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135 | #plot_polygons([bounding_polygon,poly_intermediate,\ |
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136 | # poly_shallow,poly_coast,poly_canal],\ |
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137 | # figname='boundingpoly',verbose=False) |
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138 | |
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139 | trigs_min = number_mesh_triangles(interior_regions, bounding_polygon, regional_res) |
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140 | |
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141 | print 'min number triangles', trigs_min |
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142 | |
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143 | poly_mainland = read_polygon(polygons_dir+'Initial_Condition.csv') |
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144 | |
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145 | |
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146 | ################################################################### |
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147 | # Clipping regions for export to asc and regions for clipping data |
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148 | ################################################################### |
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149 | |
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150 | # exporting asc grid |
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151 | #eastingmin = 363000 |
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152 | #eastingmax = 418000 |
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153 | #northingmin = 8026600 |
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154 | #northingmax = 8145700 |
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155 | |
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156 | #for clipping (most) boundary file |
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157 | #south_source = |
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158 | #north_source = |
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159 | #west_source = |
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160 | #east_source = |
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161 | |
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162 | |
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163 | #gauge_filename = 'gauges.csv' |
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