| 1 | """Script for running a tsunami inundation scenario for Hobart, TAS, 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.py |
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| 5 | The output sww file is stored in project.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 MOST. |
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| 9 | |
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| 10 | Ole Nielsen and Duncan Gray, GA - 2005 and Nick Bartzis, GA - 2006 |
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| 11 | """ |
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| 12 | #-------------------------------------------------------------------------------# Import necessary modules |
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| 13 | #------------------------------------------------------------------------------- |
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| 14 | |
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| 15 | # Standard modules |
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| 16 | import os |
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| 17 | import time |
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| 18 | from shutil import copy |
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| 19 | from os import mkdir, access, F_OK |
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| 20 | import sys |
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| 21 | |
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| 22 | # Related major packages |
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| 23 | from anuga.shallow_water import Domain, Reflective_boundary, \ |
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| 24 | Dirichlet_boundary, Time_boundary, File_boundary |
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| 25 | from anuga.shallow_water.data_manager import convert_dem_from_ascii2netcdf, dem2pts |
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| 26 | from anuga.abstract_2d_finite_volumes.combine_pts import combine_rectangular_points_files |
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| 27 | from anuga.geospatial_data.geospatial_data import * |
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| 28 | from anuga.abstract_2d_finite_volumes.util import Screen_Catcher |
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| 29 | |
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| 30 | # Application specific imports |
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| 31 | import project # Definition of file names and polygons |
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| 32 | |
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| 33 | #------------------------------------------------------------------------------- |
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| 34 | # Copy scripts to time stamped output directory and capture screen |
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| 35 | # output to file |
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| 36 | #------------------------------------------------------------------------------- |
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| 37 | |
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| 38 | # creates copy of code in output dir if dir doesn't exist |
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| 39 | if access(project.outputtimedir,F_OK) == 0 : |
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| 40 | mkdir (project.outputtimedir) |
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| 41 | copy (project.codedirname, project.outputtimedir + project.codename) |
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| 42 | copy (project.codedir + 'run_hobart_usepts.py', project.outputtimedir + 'run_hobart_usepts.py') |
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| 43 | print'output dir', project.outputtimedir |
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| 44 | |
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| 45 | #normal screen output is stored in |
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| 46 | screen_output_name = project.outputtimedir + "screen_output.txt" |
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| 47 | screen_error_name = project.outputtimedir + "screen_error.txt" |
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| 48 | |
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| 49 | #used to catch screen output to file |
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| 50 | sys.stdout = Screen_Catcher(screen_output_name) |
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| 51 | #sys.stderr = Screen_Catcher(screen_output_name) |
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| 52 | sys.stderr = Screen_Catcher(screen_error_name) |
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| 53 | |
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| 54 | print 'USER: ', project.user |
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| 55 | |
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| 56 | #------------------------------------------------------------------------------- |
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| 57 | # Preparation of topographic data |
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| 58 | # |
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| 59 | # Convert ASC 2 DEM 2 PTS using source data and store result in source data |
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| 60 | #------------------------------------------------------------------------------- |
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| 61 | |
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| 62 | # filenames |
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| 63 | #onshore_dem_name = project.onshore_dem_name |
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| 64 | onshore_offshore_dem_name = project.onshore_offshore_dem_name |
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| 65 | onshore_offshore_dem_name_25 = project.onshore_offshore_dem_name_25 |
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| 66 | meshname = project.meshname+'.msh' |
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| 67 | source_dir = project.boundarydir |
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| 68 | |
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| 69 | copied_files = False |
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| 70 | |
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| 71 | # create DEM from 50m asc data |
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| 72 | convert_dem_from_ascii2netcdf(onshore_offshore_dem_name, use_cache=True, verbose=True) |
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| 73 | |
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| 74 | # creates pts file for combined 50m DEM and make a Geospatial data object |
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| 75 | dem2pts(onshore_offshore_dem_name, use_cache=True, verbose=True) |
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| 76 | G = Geospatial_data(file_name = project.onshore_offshore_dem_name + '.pts') |
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| 77 | |
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| 78 | # clip 50m pts based on interior regions - want 50m data OUTSIDE of these polygons |
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| 79 | clip_regions = [project.poly_hobart1, project.poly_hobart2, \ |
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| 80 | project.poly_hobart3] |
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| 81 | |
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| 82 | # set up initial value as Geospatial data object |
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| 83 | U = Geospatial_data(clip_regions[0]) |
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| 84 | allG = G.clip_outside(U) |
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| 85 | for j in clip_regions[1:]: |
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| 86 | U = Geospatial_data(j) |
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| 87 | allG += G.clip_outside(U) |
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| 88 | |
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| 89 | print 'created outside clipping' |
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| 90 | # clip 50m to be inside bounding polygon |
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| 91 | allG = allG.clip(Geospatial_data(project.polyAll)) |
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| 92 | print 'finished 50m clipping' |
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| 93 | |
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| 94 | # create DEM from asc data - 25m data |
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| 95 | convert_dem_from_ascii2netcdf(onshore_offshore_dem_name_25, use_cache=True, verbose=True) |
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| 96 | |
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| 97 | # creates pts file for onshore DEM - 25 and make a Geospatial data object |
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| 98 | dem2pts(onshore_offshore_dem_name_25, |
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| 99 | easting_min=project.eastingmin25_3, |
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| 100 | easting_max=project.eastingmax25_3, |
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| 101 | northing_min=project.northingmin25_3, |
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| 102 | northing_max= project.northingmax25_3, |
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| 103 | use_cache=True, verbose=True) |
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| 104 | G = Geospatial_data(file_name = project.onshore_offshore_dem_name_25 + '.pts') |
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| 105 | |
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| 106 | # clip 25m pts based on interior regions - want 25m data INSIDE these polygons |
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| 107 | for j in clip_regions[1:]: |
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| 108 | allG += G.clip(j) |
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| 109 | |
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| 110 | print 'finished 25m clipping' |
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| 111 | |
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| 112 | allG.export_points_file(project.combined_dem_name_3 + '.pts') |
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| 113 | print 'exported points' |
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| 114 | ''' |
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| 115 | print 'adding offshore data sets' |
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| 116 | G = Geospatial_data(file_name = project.offshore_dem_name_local1 + '.xya')+\ |
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| 117 | Geospatial_data(file_name = project.offshore_dem_name_local2 + '.xya')+\ |
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| 118 | Geospatial_data(file_name = project.offshore_dem_name_local3 + '.xya')+\ |
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| 119 | Geospatial_data(file_name = project.offshore_dem_name_local4 + '.xya')+\ |
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| 120 | Geospatial_data(file_name = project.offshore_dem_name_aho1 + '.xya')+\ |
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| 121 | Geospatial_data(file_name = project.offshore_dem_name_aho2 + '.xya')+\ |
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| 122 | Geospatial_data(file_name = project.offshore_dem_name_aho3 + '.xya')+\ |
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| 123 | Geospatial_data(file_name = project.offshore_dem_name_aho4 + '.xya')+\ |
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| 124 | Geospatial_data(file_name = project.offshore_dem_name_aho5 + '.xya')+\ |
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| 125 | Geospatial_data(file_name = project.offshore_dem_name_aho6 + '.xya')+\ |
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| 126 | Geospatial_data(file_name = project.offshore_dem_name_aho7 + '.xya')+\ |
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| 127 | Geospatial_data(file_name = project.offshore_dem_name_aho8 + '.xya')+\ |
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| 128 | Geospatial_data(file_name = project.offshore_dem_name_aho9 + '.xya')+\ |
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| 129 | Geospatial_data(file_name = project.offshore_dem_name_aho10 + '.xya')+\ |
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| 130 | Geospatial_data(file_name = project.offshore_dem_name_aho11 + '.xya')+\ |
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| 131 | Geospatial_data(file_name = project.offshore_dem_name_aho12 + '.xya')+\ |
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| 132 | Geospatial_data(file_name = project.offshore_dem_name_aho13 + '.xya')+\ |
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| 133 | Geospatial_data(file_name = project.offshore_dem_name_aho14 + '.xya')+\ |
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| 134 | Geospatial_data(file_name = project.offshore_dem_name_aho15 + '.xya')+\ |
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| 135 | Geospatial_data(file_name = project.offshore_dem_name_aho16 + '.xya')#+\ |
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| 136 | #eospatial_data(file_name = project.onshore_dem_name_25 + '.pts') |
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| 137 | G.export_points_file(project.combined_dem_name_3 + '.pts') |
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| 138 | ''' |
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| 139 | #---------------------------------------------------------------------------- |
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| 140 | # Create the triangular mesh based on overall clipping polygon with a tagged |
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| 141 | # boundary and interior regions defined in project.py along with |
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| 142 | # resolutions (maximal area of per triangle) for each polygon |
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| 143 | #------------------------------------------------------------------------------- |
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| 144 | |
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| 145 | from anuga.pmesh.mesh_interface import create_mesh_from_regions |
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| 146 | |
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| 147 | # use 75 for onshore components (12.5m DEM) |
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| 148 | hobart_res = 7500 |
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| 149 | bathy_res = 25000 |
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| 150 | interior_regions = [[project.poly_hobart1, hobart_res], |
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| 151 | [project.poly_hobart2, hobart_res], |
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| 152 | [project.poly_hobart3, hobart_res], |
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| 153 | [project.poly_hobart5, bathy_res]] |
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| 154 | |
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| 155 | print 'number of interior regions', len(interior_regions) |
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| 156 | |
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| 157 | from caching import cache |
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| 158 | _ = cache(create_mesh_from_regions, |
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| 159 | project.polyAll, |
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| 160 | {'boundary_tags': {'e0': [0], 'e1': [1], 'e2': [2], |
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| 161 | 'e3': [3], 'e4':[4], 'e5': [5], |
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| 162 | 'e6': [6], 'e7': [7], 'e8': [8], |
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| 163 | 'e9': [9], 'e10': [10], 'e11': [11], |
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| 164 | 'e12': [12], 'e13': [13], 'e14': [14], |
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| 165 | }, |
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| 166 | 'maximum_triangle_area': 250000, |
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| 167 | 'filename': meshname, |
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| 168 | 'interior_regions': interior_regions}, |
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| 169 | verbose = True, evaluate=True) |
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| 170 | |
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| 171 | |
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| 172 | #------------------------------------------------------------------------------- |
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| 173 | # Setup computational domain |
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| 174 | #------------------------------------------------------------------------------- |
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| 175 | domain = Domain(meshname, use_cache = False, verbose = True) |
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| 176 | |
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| 177 | print 'Number of triangles = ', len(domain) |
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| 178 | print 'The extent is ', domain.get_extent() |
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| 179 | print domain.statistics() |
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| 180 | |
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| 181 | domain.set_name(project.basename) |
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| 182 | domain.set_datadir(project.outputtimedir) |
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| 183 | domain.set_quantities_to_be_stored(['stage', 'xmomentum', 'ymomentum']) |
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| 184 | domain.set_minimum_storable_height(0.01) |
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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 | tide = 0.0 |
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| 191 | domain.set_quantity('stage', tide) |
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| 192 | domain.set_quantity('friction', 0.0) |
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| 193 | domain.set_quantity('elevation', |
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| 194 | filename = project.combined_dem_name + '.pts', |
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| 195 | use_cache = True, |
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| 196 | verbose = True, |
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| 197 | alpha = 0.01 |
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| 198 | ) |
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| 199 | |
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| 200 | #------------------------------------------------------------------------------- |
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| 201 | # Setup boundary conditions |
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| 202 | #------------------------------------------------------------------------------- |
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| 203 | |
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| 204 | print 'Available boundary tags', domain.get_boundary_tags() |
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| 205 | |
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| 206 | Bf = File_boundary(source_dir + project.boundary_basename + '.sww', |
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| 207 | domain, verbose = True) |
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| 208 | Br = Reflective_boundary(domain) |
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| 209 | Bd = Dirichlet_boundary([tide,0,0]) |
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| 210 | # 7 min square wave starting at 1 min, 6m high |
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| 211 | Bw = Time_boundary(domain = domain, |
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| 212 | f=lambda t: [(60<t<480)*10, 0, 0]) |
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| 213 | |
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| 214 | # |
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| 215 | domain.set_boundary( {'e0': Bd, 'e1': Bd, 'e2': Bd, 'e3': Bd, 'e4': Bd, |
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| 216 | 'e5': Bd, 'e6': Bd, 'e7': Bd, 'e8': Bd, 'e9': Bd, |
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| 217 | 'e10': Bd, 'e11': Bf, 'e12': Bf, 'e13': Bf, 'e14': Bf, |
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| 218 | } ) |
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| 219 | |
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| 220 | #------------------------------------------------------------------------------- |
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| 221 | # Evolve system through time |
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| 222 | #------------------------------------------------------------------------------- |
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| 223 | import time |
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| 224 | t0 = time.time() |
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| 225 | |
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| 226 | for t in domain.evolve(yieldstep = 240, finaltime = 6800): |
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| 227 | domain.write_time() |
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| 228 | domain.write_boundary_statistics(tags = 'e14') |
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| 229 | |
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| 230 | for t in domain.evolve(yieldstep = 30, finaltime = 15000 |
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| 231 | ,skip_initial_step = True): |
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| 232 | domain.write_time() |
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| 233 | domain.write_boundary_statistics(tags = 'e14') |
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| 234 | |
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| 235 | for t in domain.evolve(yieldstep = 240, finaltime = 20000 |
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| 236 | ,skip_initial_step = True): |
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| 237 | domain.write_time() |
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| 238 | domain.write_boundary_statistics(tags = 'e14') |
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| 239 | |
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| 240 | print 'That took %.2f seconds' %(time.time()-t0) |
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| 241 | |
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| 242 | print 'finished' |
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