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_points, 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 = 'sydney_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_offshore_name25 = 'bathy_dem25' |
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30 | on_offshore_name100 = 'bathyland100' |
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31 | nsw100 = 'dem_utm' |
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32 | |
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33 | # survey data |
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34 | offshore_name1 = 'surveyAreaA' |
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35 | offshore_name2 = 'surveyAreaB' |
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36 | offshore_name3 = 'surveyAreaC' |
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37 | |
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38 | # AHO data |
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39 | offshore_name4 = '1000003611export' |
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40 | offshore_name5 = '1000003613export' |
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41 | offshore_name6 = '1000003614export' |
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42 | offshore_name7 = '1000003627export' |
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43 | offshore_name8 = '1000003628export' |
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44 | offshore_name9 = 'AHDexport' |
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45 | |
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46 | #swollen/ all data output |
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47 | basename = 'source' |
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48 | codename = 'project_slide.py' |
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49 | |
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50 | #Derive subdirectories and filenames |
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51 | local_time = strftime('%Y%m%d_%H%M%S',gmtime()) |
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52 | meshdir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'meshes'+sep |
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53 | datadir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'topographies'+sep |
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54 | gaugedir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'gauges'+sep |
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55 | polygondir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'polygons'+sep |
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56 | boundarydir = home+sep+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'boundaries'+sep |
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57 | outputdir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'outputs'+sep |
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58 | outputtimedir = outputdir + local_time + sep |
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59 | polygondir = home+sep+state+sep+scenario_dir_name+sep+'anuga'+sep+'polygons'+sep |
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60 | |
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61 | gauge_filename = gaugedir + 'sydney_slide_gauges.csv' |
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62 | codedir = getcwd()+sep |
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63 | codedirname = codedir + 'project_slide.py' |
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64 | meshname = outputtimedir + 'mesh_' + basename |
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65 | |
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66 | # Necessary if using point datasets, rather than grid |
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67 | on_offshore25_dem_name = datadir + on_offshore_name25 |
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68 | on_offshore100_dem_name = datadir + on_offshore_name100 |
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69 | nsw_dem_name = datadir + nsw100 |
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70 | offshore_dem_name1 = datadir + offshore_name1 |
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71 | offshore_dem_name2 = datadir + offshore_name2 |
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72 | offshore_dem_name3 = datadir + offshore_name3 |
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73 | offshore_dem_name4 = datadir + offshore_name4 |
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74 | offshore_dem_name5 = datadir + offshore_name5 |
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75 | offshore_dem_name6 = datadir + offshore_name6 |
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76 | offshore_dem_name7 = datadir + offshore_name7 |
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77 | offshore_dem_name8 = datadir + offshore_name8 |
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78 | offshore_dem_name9 = datadir + offshore_name9 |
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79 | combined_dem_name = datadir + 'sydney_combined_elevation' |
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80 | |
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81 | ############################### |
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82 | # Domain definitions |
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83 | ############################### |
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84 | |
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85 | # bounding polygon for study area |
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86 | polyAll = read_polygon(polygondir+'extent3.csv') |
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87 | |
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88 | print 'Area of bounding polygon', polygon_area(polyAll)/1000000.0 |
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89 | |
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90 | ############################### |
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91 | # Interior region definitions |
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92 | ############################### |
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93 | |
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94 | # sydney digitized polygons |
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95 | poly_coast = read_polygon(polygondir+'coast2.csv') |
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96 | poly_syd1 = read_polygon(polygondir+'local.csv') |
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97 | |
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98 | print 'Area of local polygon', polygon_area(poly_syd1)/1000000.0 |
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99 | print 'Area of coastal polygon', polygon_area(poly_coast)/1000000.0 |
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100 | |
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101 | ################################################################### |
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102 | # Clipping regions for export to asc and regions for clipping data |
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103 | ################################################################### |
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104 | |
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105 | # clipping for 25m grid for conversion |
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106 | eastingmin25 = 324825 |
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107 | eastingmax25 = 347650 |
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108 | northingmin25 = 6231960 |
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109 | northingmax25 = 6272543 |
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110 | |
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111 | poly_25mclip = read_polygon(polygondir+'25mclip.csv') |
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112 | |
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113 | # clipping for 100m grid for conversion |
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114 | eastingmin100 = 315870 |
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115 | eastingmax100 = 361607 |
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116 | northingmin100 = 6227588 |
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117 | northingmax100 = 6285975 |
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118 | |
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119 | poly_surveyclip = read_polygon(polygondir+'surveyclip.csv') |
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120 | |
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121 | # clipping for nsw grid for conversion |
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122 | eastingmin_nsw = 315870 |
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123 | eastingmax_nsw = 390480 |
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124 | northingmin_nsw = 6161100 |
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125 | northingmax_nsw = 6330000 |
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126 | |
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127 | poly_origsyd = [[eastingmin100,northingmin100],[eastingmax100,northingmin100],\ |
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128 | [eastingmax100,northingmax100],[eastingmin100,northingmax100]] |
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129 | |
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130 | # exporting asc grid |
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131 | eastingmin = 333000 |
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132 | eastingmax = 354000 |
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133 | northingmin = 6244800 |
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134 | northingmax = 6274550 |
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135 | |
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136 | # exporting asc grid |
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137 | eastingmin = 318922+10000 |
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138 | eastingmax = 318922+45000 |
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139 | northingmin = 6231749+7500 |
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140 | northingmax = 6231749+48000 |
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141 | |
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142 | #eastingmin = -40 |
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143 | #eastingmax = 40 |
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144 | #northingmin = -20 |
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145 | #northingmax = 20 |
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146 | |
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147 | ################################################################### |
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148 | # Slide characteristics |
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149 | ################################################################### |
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150 | |
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151 | # historical slides |
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152 | slide_origin_bulli = [370110,6189489] |
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153 | slide_origin_shovel = [354753,6187397] |
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154 | #slide_origin_yacaaba = [463012,6334735] original work was actually Birubi |
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155 | slide_origin_yacaaba = [476465, 6362424] |
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156 | slide_origin_birubi = [462267,6335100] |
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157 | |
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158 | # potential slides: these correspond approximately to modelled depths |
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159 | slide_origin_bulli_b = [405617,6249852] |
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160 | slide_origin_bulli_c0 = [438583,6308510] |
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161 | slide_origin_bulli_c1 = [465283,6335210] |
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162 | slide_origin_bulli_c2 = [483783,6358810] |
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163 | slide_origin_shovel_b = [396262,6252144] |
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164 | slide_origin_shovel_c0 = [431683,6311110] |
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165 | slide_origin_shovel_c1 = [458694,6340352] |
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166 | slide_origin_shovel_c2 = [475589,6363030] |
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167 | slide_origin_yacaaba_a = [359796,6190943] |
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168 | slide_origin_yacaaba_b = [397330,6251857] |
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169 | slide_origin_yacaaba_c0 = [431283,6312110] |
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170 | slide_origin_yacaaba_c1 = [459983,6339110] |
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171 | slide_origin_birubi_a = [362811,6191183] |
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172 | slide_origin_birubi_b = [403573,6250268] |
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173 | slide_origin_birubi_c0 = [437183,6309410] |
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174 | slide_origin_birubi_c2 = [483392,6359044] |
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175 | |
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176 | #bulli_depth = 2087.0 |
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177 | bulli_depth = 1470.0 |
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178 | bulli_length = 16840.0 |
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179 | bulli_thickness = 424.0 |
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180 | bulli_width = 8860.0 |
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181 | bulli_density = 1.46 |
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182 | bulli_slope = 4.0 |
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183 | bulli_alpha = 126.0 - 90.0 |
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184 | |
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185 | #shovel_depth = 968.0 |
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186 | shovel_depth = 877.0 |
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187 | shovel_length = 13500.0 |
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188 | shovel_thickness = 165.0 |
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189 | shovel_width = 4350.0 |
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190 | shovel_density = 1.49 |
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191 | shovel_slope = 4.0 |
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192 | shovel_alpha = 118.0 - 90.0 |
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193 | |
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194 | #yacaaba_depth = 1119.0 |
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195 | yacaaba_depth = 938. |
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196 | yacaaba_length = 4189. |
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197 | yacaaba_thickness = 53. |
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198 | yacaaba_width = 2898. |
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199 | yacaaba_density = 1.48 |
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200 | yacaaba_slope = 2.3 |
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201 | yacaaba_alpha = 133.0 - 90.0 |
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202 | |
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203 | birubi_depth = 1320. |
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204 | birubi_length = 9903.0 |
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205 | birubi_width = 4150. |
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206 | birubi_density = 1.48 |
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207 | birubi_slope = 3.7 |
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208 | birubi_alpha = 133.0 - 90.0 |
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209 | birubi_thickness = 140. |
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