1 | """Script for running a tsunami inundation scenario for Wollongong, NSW, Australia. |
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2 | |
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3 | Source data such as elevation and boundary data is assumed to be available in |
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4 | directories specified by project_slide.py |
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5 | The output sww file is stored in project_slide.outputtimedir |
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6 | |
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7 | The scenario is defined by a triangular mesh created from project.polygon, |
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8 | the elevation data and a tsunami wave generated by s submarine mass failure. |
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9 | |
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10 | Bridgette Lewis, 2008 |
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11 | """ |
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12 | |
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13 | #------------------------------------------------------------------------------- |
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14 | # Import necessary modules |
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15 | #------------------------------------------------------------------------------- |
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16 | |
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17 | # Standard modules |
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18 | import os |
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19 | import time |
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20 | from shutil import copy |
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21 | from os.path import dirname, basename |
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22 | from os import mkdir, access, F_OK, sep |
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23 | import sys |
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24 | |
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25 | # Related major packages |
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26 | from anuga.shallow_water import Domain, Reflective_boundary, Dirichlet_boundary |
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27 | from anuga.shallow_water.data_manager import convert_dem_from_ascii2netcdf, dem2pts |
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28 | from anuga.geospatial_data.geospatial_data import * |
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29 | from anuga.abstract_2d_finite_volumes.util import start_screen_catcher, copy_code_files |
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30 | |
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31 | # Application specific imports |
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32 | import project_slide # Definition of file names and polygons |
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33 | |
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34 | #------------------------------------------------------------------------------- |
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35 | # Copy scripts to time stamped output directory and capture screen |
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36 | # output to file |
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37 | #------------------------------------------------------------------------------- |
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38 | |
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39 | # creates copy of code in output dir |
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40 | copy_code_files(project_slide.outputtimedir,__file__,dirname(project_slide.__file__)+sep+ project_slide.__name__+'.py' ) |
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41 | myid = 0 |
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42 | numprocs = 1 |
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43 | start_screen_catcher(project_slide.outputtimedir, myid, numprocs) |
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44 | |
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45 | print 'USER: ', project_slide.user |
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46 | #------------------------------------------------------------------------------- |
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47 | # Preparation of topographic data |
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48 | # |
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49 | # Convert ASC 2 DEM 2 PTS using source data and store result in source data |
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50 | #------------------------------------------------------------------------------- |
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51 | """ |
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52 | # filenames |
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53 | on_offshore10_dem_name = project_slide.on_offshore10_dem_name |
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54 | nsw_dem_name = project_slide.nsw_dem_name |
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55 | |
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56 | |
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57 | # creates DEM from asc data |
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58 | convert_dem_from_ascii2netcdf(on_offshore10_dem_name, use_cache=True, verbose=True) |
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59 | convert_dem_from_ascii2netcdf(nsw_dem_name, use_cache=True, verbose=True) |
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60 | |
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61 | #creates pts file for onshore DEM |
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62 | dem2pts(on_offshore10_dem_name, use_cache=True, verbose=True) |
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63 | dem2pts(nsw_dem_name, |
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64 | easting_min=project_slide.eastingmin_nsw, |
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65 | easting_max=project_slide.eastingmax_nsw, |
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66 | northing_min=project_slide.northingmin_nsw, |
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67 | northing_max= project_slide.northingmax_nsw, |
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68 | use_cache=True, verbose=True) |
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69 | |
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70 | print 'create offshore' |
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71 | G11 = Geospatial_data(file_name = project_slide.offshore_dem_name1 + '.txt') |
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72 | G12 = Geospatial_data(file_name = project_slide.offshore_dem_name4 + '.txt')+\ |
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73 | Geospatial_data(file_name = project_slide.offshore_dem_name5 + '.txt')+\ |
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74 | Geospatial_data(file_name = project_slide.offshore_dem_name6 + '.txt')+\ |
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75 | Geospatial_data(file_name = project_slide.offshore_dem_name7 + '.txt')+\ |
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76 | Geospatial_data(file_name = project_slide.offshore_dem_name8 + '.txt')+\ |
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77 | Geospatial_data(file_name = project_slide.offshore_dem_name9 + '.txt') |
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78 | print 'create onshore' |
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79 | G2 = Geospatial_data(file_name = project_slide.on_offshore10_dem_name + '.pts') |
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80 | G4 = Geospatial_data(file_name = project_slide.nsw_dem_name + '.pts') |
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81 | print 'add' |
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82 | G = G11.clip(Geospatial_data(project_slide.poly_surveyclip)) +\ |
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83 | G12.clip(Geospatial_data(project_slide.polyAll)) +\ |
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84 | G2.clip(Geospatial_data(project_slide.poly_10mclip)) +\ |
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85 | (G4.clip(Geospatial_data(project_slide.polyAll))).clip_outside(Geospatial_data(project_slide.poly_surveyclip)).clip_outside(Geospatial_data(project_slide.poly_10mclip)) |
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86 | print 'export points' |
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87 | G.export_points_file(project_slide.combined_dem_name + '.pts') |
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88 | #G.export_points_file(project_slide.combined_dem_name + '.xya') |
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89 | """ |
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90 | #---------------------------------------------------------------------------- |
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91 | # Create the triangular mesh based on overall clipping polygon with a tagged |
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92 | # boundary and interior regions defined in project.py along with |
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93 | # resolutions (maximal area of per triangle) for each polygon |
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94 | #------------------------------------------------------------------------------- |
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95 | |
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96 | from anuga.pmesh.mesh_interface import create_mesh_from_regions |
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97 | meshname = project_slide.meshname+'.msh' |
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98 | remainder_res = 100000 |
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99 | local_res = 25000 |
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100 | gong_res = 500 |
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101 | |
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102 | interior_regions = [[project_slide.poly_local, local_res], |
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103 | [project_slide.poly_gong, gong_res], |
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104 | [project_slide.poly_southgong, gong_res]] |
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105 | |
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106 | from caching import cache |
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107 | _ = cache(create_mesh_from_regions, |
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108 | project_slide.polyAll, |
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109 | {'boundary_tags': {'e0': [0], 'e1': [1], 'e2': [2], |
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110 | 'e3': [3], 'e4': [4]}, |
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111 | 'maximum_triangle_area': remainder_res, |
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112 | 'filename': meshname}, |
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113 | #'interior_regions': interior_regions}, |
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114 | verbose = True, evaluate=False) |
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115 | print 'created mesh' |
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116 | |
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117 | #------------------------------------------------------------------------------- |
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118 | # Setup computational domain |
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119 | #------------------------------------------------------------------------------- |
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120 | domain = Domain(meshname, use_cache = True, verbose = True) |
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121 | |
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122 | print 'Number of triangles = ', len(domain) |
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123 | print 'The extent is ', domain.get_extent() |
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124 | print domain.statistics() |
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125 | |
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126 | domain.set_name(project_slide.basename) |
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127 | domain.set_datadir(project_slide.outputtimedir) |
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128 | domain.set_quantities_to_be_stored(['stage', 'xmomentum', 'ymomentum']) |
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129 | domain.set_minimum_storable_height(0.01) |
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130 | |
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131 | #------------------------------------------------------------------------------- |
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132 | # Set elevation to mesh |
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133 | #------------------------------------------------------------------------------- |
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134 | |
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135 | tide = 0.0 |
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136 | domain.set_quantity('elevation', |
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137 | filename = project_slide.combined_dem_name + '.pts', |
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138 | use_cache = True, |
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139 | verbose = True, |
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140 | alpha = 0.1 |
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141 | ) |
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142 | |
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143 | #------------------------------------------------------------------------------- |
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144 | # Setup boundary conditions |
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145 | #------------------------------------------------------------------------------- |
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146 | print 'Available boundary tags', domain.get_boundary_tags() |
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147 | |
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148 | Br = Reflective_boundary(domain) |
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149 | Bd = Dirichlet_boundary([tide,0,0]) |
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150 | |
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151 | domain.set_boundary( {'e0': Bd, 'e1': Bd, 'e2': Bd, 'e3': Bd, 'e4': Bd} ) |
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152 | |
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153 | #------------------------------------------------------------------------------- |
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154 | # Set up scenario (tsunami_source is a callable object used with set_quantity) |
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155 | #------------------------------------------------------------------------------- |
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156 | from smf import slide_tsunami |
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157 | |
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158 | # effect on a3D and wavelength |
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159 | gamma = 1.85 |
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160 | massco = 1.0 |
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161 | dragco = 1.0 |
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162 | |
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163 | # no effect on a3D and wavelength but used in Double Gaussian |
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164 | #dx = 0.01 |
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165 | kappa = 3. |
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166 | kappad = 0.8 |
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167 | |
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168 | # this doesn't seem to apper anywhere in smf |
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169 | frictionco = 0.01 |
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170 | |
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171 | # Bridgette to vary this parameter from 1 to 25 in steps of (?) by changing it in the project file |
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172 | |
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173 | tsunami_source = slide_tsunami(project_slide.bulli_length, |
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174 | project_slide.bulli_depth, |
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175 | project_slide.bulli_slope, |
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176 | width=project_slide.bulli_width, |
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177 | thickness=project_slide.bulli_thickness, |
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178 | x0=project_slide.slide_origin_bulli[0], |
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179 | y0=project_slide.slide_origin_bulli[1], |
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180 | alpha=project_slide.bulli_alpha, |
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181 | dx=None, |
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182 | scale=project_slide.scale, |
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183 | domain=domain, |
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184 | verbose=True) |
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185 | |
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186 | #------------------------------------------------------------------------------- |
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187 | # Setup initial conditions |
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188 | #------------------------------------------------------------------------------- |
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189 | |
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190 | domain.set_quantity('stage', tsunami_source) |
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191 | domain.set_quantity('friction', 0.0) |
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192 | |
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193 | stage = domain.get_quantity('stage') |
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194 | etamax = stage.get_maximum_value() |
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195 | etamin = stage.get_minimum_value() |
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196 | |
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197 | filename = project_slide.outputtimedir + 'smf_data.csv' |
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198 | fid = open(filename,'w') |
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199 | s = 'scale, a3D, wavelength, etamax, etamin \n' |
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200 | fid.write(s) |
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201 | if project_slide.scale is not None: |
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202 | s = '%.6f, %.6f, %.6f, %.6f, %.6f\n' \ |
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203 | %(project_slide.scale,tsunami_source.a3D,tsunami_source.wavelength,etamax,etamin) |
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204 | else: |
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205 | s = '%s, %.6f, %.6f, %.6f, %.6f\n' \ |
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206 | %(project_slide.scale,tsunami_source.a3D,tsunami_source.wavelength,etamax,etamin) |
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207 | fid.write(s) |
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208 | fid.close() |
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209 | |
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210 | #------------------------------------------------------------------------------- |
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211 | # Evolve system through time |
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212 | #------------------------------------------------------------------------------- |
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213 | import time |
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214 | t0 = time.time() |
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215 | from Numeric import allclose |
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216 | from anuga.abstract_2d_finite_volumes.quantity import Quantity |
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217 | |
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218 | for t in domain.evolve(yieldstep = 30, finaltime = 5000): |
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219 | domain.write_time() |
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220 | |
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221 | |
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222 | print 'That took %.2f seconds' %(time.time()-t0) |
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223 | |
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224 | print 'finished' |
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