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 | from os import sep, environ, getenv, getcwd |
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6 | from os.path import expanduser |
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7 | import sys |
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8 | from time import localtime, strftime, gmtime |
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9 | from anuga.utilities.polygon import read_polygon, plot_polygons, polygon_area, is_inside_polygon |
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10 | |
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11 | if sys.platform == 'win32': |
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12 | home = getenv('INUNDATIONHOME') |
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13 | user = getenv('USERPROFILE') |
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14 | |
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15 | else: |
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16 | home = getenv('INUNDATIONHOME', sep+'d'+sep+'xrd'+sep+'gem'+sep+'2'+sep+'ramp'+sep+'risk_assessment_methods_project'+sep+'inundation') |
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17 | user = getenv('LOGNAME') |
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18 | print 'USER:', user |
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19 | |
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20 | # INUNDATIONHOME is the inundation directory, not the data directory. |
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21 | home += sep +'data' |
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22 | |
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23 | #Making assumptions about the location of scenario data |
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24 | state = 'new_south_wales' |
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25 | scenario_dir_name = 'wollongong_tsunami_scenario_2006' |
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26 | |
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27 | # onshore data provided by NSW LPI, Krishna merged with existing |
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28 | # PMD data to make 100m DEM |
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29 | on_offshore10_name = 'wollongong_10' |
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30 | nsw100 = 'dem_utm' |
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31 | |
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32 | # survey data |
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33 | offshore_name1 = 'surveyAreaA' |
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34 | |
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35 | # AHO data |
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36 | offshore_name4 = '1000003611export' |
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37 | offshore_name5 = '1000003613export' |
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38 | offshore_name6 = '1000003614export' |
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39 | offshore_name7 = '1000003627export' |
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40 | offshore_name8 = '1000003628export' |
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41 | offshore_name9 = 'AHDexport' |
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42 | |
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43 | #swollen/ all data output |
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44 | basename = 'source' |
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45 | codename = 'project_slide.py' |
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46 | |
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47 | #Derive subdirectories and filenames |
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48 | local_time = strftime('%Y%m%d_%H%M%S',gmtime()) |
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49 | meshdir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'meshes'+sep |
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50 | datadir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'topographies'+sep |
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51 | gaugedir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'gauges'+sep |
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52 | polygondir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'polygons'+sep |
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53 | boundarydir = home+sep+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'boundaries'+sep |
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54 | outputdir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'outputs'+sep |
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55 | outputtimedir = outputdir + local_time + sep |
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56 | polygondir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'polygons'+sep |
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57 | |
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58 | gauge_filename = gaugedir + 'gong_gauges.csv' |
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59 | codedir = getcwd()+sep |
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60 | codedirname = codedir + 'project_slide.py' |
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61 | meshname = outputtimedir + 'mesh_' + basename |
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62 | |
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63 | # Necessary if using point datasets, rather than grid |
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64 | on_offshore10_dem_name = datadir + on_offshore10_name |
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65 | nsw_dem_name = datadir + nsw100 |
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66 | offshore_dem_name1 = datadir + offshore_name1 |
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67 | offshore_dem_name4 = datadir + offshore_name4 |
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68 | offshore_dem_name5 = datadir + offshore_name5 |
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69 | offshore_dem_name6 = datadir + offshore_name6 |
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70 | offshore_dem_name7 = datadir + offshore_name7 |
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71 | offshore_dem_name8 = datadir + offshore_name8 |
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72 | offshore_dem_name9 = datadir + offshore_name9 |
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73 | combined_dem_name = datadir + 'gong_combined_elevation' |
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74 | |
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75 | ############################### |
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76 | # Domain definitions |
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77 | ############################### |
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78 | |
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79 | # bounding polygon for study area |
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80 | polyAll = read_polygon(polygondir+'extentA_up.csv') |
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81 | |
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82 | print 'Area of bounding polygon', polygon_area(polyAll)/1000000.0 |
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83 | |
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84 | ############################### |
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85 | # Interior region definitions |
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86 | ############################### |
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87 | |
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88 | # areaA digitized polygons |
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89 | poly_local = read_polygon(polygondir+'local2.csv') |
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90 | poly_gong = read_polygon(polygondir+'gong3.csv') |
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91 | poly_southgong = read_polygon(polygondir+'south_gong.csv') |
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92 | |
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93 | print 'Area of local polygon', polygon_area(poly_local)/1000000.0 |
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94 | |
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95 | ################################################################### |
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96 | # Clipping regions for export to asc and regions for clipping data |
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97 | ################################################################### |
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98 | |
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99 | poly_10mclip = read_polygon(polygondir+'10mclip.csv') |
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100 | poly_surveyclip = read_polygon(polygondir+'surveyclip.csv') |
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101 | |
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102 | # clipping for nsw grid for conversion |
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103 | eastingmin_nsw = 272900 |
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104 | eastingmax_nsw = 463550 |
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105 | northingmin_nsw = 6112950 |
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106 | northingmax_nsw = 6269750 |
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107 | |
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108 | # exporting asc grid |
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109 | ##eastingmin = 300000 |
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110 | ##eastingmax = 314000 |
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111 | ##northingmin = 6167680 |
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112 | ##northingmax = 6202130 |
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113 | |
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114 | eastingmin = 300000 |
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115 | eastingmax = 314000 |
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116 | northingmin = 6167680 |
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117 | northingmax = 6202130 |
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118 | |
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119 | # exporting asc grid for Amy |
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120 | eastingmin = 282000 |
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121 | eastingmax = 306500 |
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122 | northingmin = 6131750 |
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123 | northingmax = 6170850 |
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124 | |
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125 | ################################################################### |
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126 | # Slide characteristics |
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127 | ################################################################### |
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128 | |
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129 | # historical slides |
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130 | slide_origin_bulli = [370110,6189489] |
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131 | slide_origin_shovel = [354753,6187397] |
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132 | slide_origin_yacaaba = [463012,6334735] |
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133 | |
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134 | # potential slides: these correspond approximately to modelled depths |
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135 | slide_origin_bulli_b = [405617,6249852] |
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136 | slide_origin_bulli_c = [465283,6335210] |
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137 | slide_origin_shovel_b = [396262,6252144] |
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138 | slide_origin_shovel_c = [458694,6340352] |
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139 | slide_origin_yacaaba_a = [361753,6188786] |
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140 | slide_origin_yacaaba_b = [401897,6250643] |
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141 | |
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142 | #bulli_depth = 2087.0 |
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143 | bulli_depth = 1470.0 |
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144 | bulli_length = 16840.0 |
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145 | bulli_thickness = 424.0 |
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146 | bulli_width = 8860.0 |
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147 | bulli_density = 1.46 |
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148 | bulli_slope = 4.0 |
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149 | bulli_alpha = 126.0 - 90.0 |
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150 | |
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151 | #shovel_depth = 968.0 |
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152 | shovel_depth = 877.0 |
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153 | shovel_length = 13500.0 |
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154 | shovel_thickness = 165.0 |
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155 | shovel_width = 4350.0 |
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156 | shovel_density = 1.49 |
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157 | shovel_slope = 4.0 |
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158 | shovel_alpha = 118.0 - 90.0 |
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159 | |
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160 | #yacaaba_depth = 1119.0 |
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161 | yacaaba_depth = 1222.5 |
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162 | yacaaba_length = 7050.0 |
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163 | yacaaba_thickness = 144.0 |
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164 | yacaaba_width = 3080.0 |
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165 | yacaaba_density = 1.48 |
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166 | yacaaba_slope = 3.0 |
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167 | yacaaba_alpha = 133.0 - 90.0 |
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168 | |
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