| 1 | """Script for running a tsunami inundation scenario for Onslow, WA, 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 generated by a subduction zone earthquake. |
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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 | from os import sep |
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| 17 | from os.path import dirname, basename |
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| 18 | import time |
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| 19 | |
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| 20 | # Related major packages |
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| 21 | from anuga.shallow_water import Domain, Reflective_boundary, \ |
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| 22 | Dirichlet_boundary, Time_boundary, File_boundary |
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| 23 | from anuga.shallow_water.data_manager import convert_dem_from_ascii2netcdf, \ |
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| 24 | dem2pts |
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| 25 | from anuga.abstract_2d_finite_volumes.combine_pts import combine_rectangular_points_files |
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| 26 | from shutil import copy |
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| 27 | from os import mkdir, access, F_OK |
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| 28 | from anuga.geospatial_data.geospatial_data import * |
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| 29 | import sys |
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| 30 | from anuga.abstract_2d_finite_volumes.util import start_screen_catcher, copy_code_files |
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| 31 | |
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| 32 | # Application specific imports |
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| 33 | import project # Definition of file names and polygons |
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| 34 | |
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| 35 | #------------------------------------------------------------------------------- |
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| 36 | # Copy scripts to time stamped output directory and capture screen |
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| 37 | # output to file |
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| 38 | #------------------------------------------------------------------------------- |
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| 39 | |
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| 40 | copy_code_files(project.outputtimedir,__file__,dirname(project.__file__)+sep+ project.__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.outputtimedir, myid, numprocs) |
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| 44 | |
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| 45 | print 'USER: ', project.user |
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| 46 | |
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| 47 | #------------------------------------------------------------------------------- |
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| 48 | # Preparation of topographic data |
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| 49 | # |
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| 50 | # Convert ASC 2 DEM 2 PTS using source data and store result in source data |
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| 51 | # Do for coarse and fine data |
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| 52 | # Fine pts file to be clipped to area of interest |
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| 53 | #------------------------------------------------------------------------------- |
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| 54 | |
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| 55 | # filenames |
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| 56 | meshname = project.meshname+'.msh' |
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| 57 | source_dir = project.boundarydir |
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| 58 | |
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| 59 | # fine data (clipping the points file to smaller area) |
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| 60 | # creates DEM from asc data |
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| 61 | convert_dem_from_ascii2netcdf(project.onshore_dem_name, use_cache=True, verbose=True) |
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| 62 | |
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| 63 | #creates pts file from DEM |
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| 64 | dem2pts(project.onshore_dem_name, |
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| 65 | easting_min=project.eastingmin, |
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| 66 | easting_max=project.eastingmax, |
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| 67 | northing_min=project.northingmin, |
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| 68 | northing_max= project.northingmax, |
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| 69 | use_cache=True, |
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| 70 | verbose=True) |
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| 71 | |
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| 72 | print 'create offshore' |
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| 73 | G11= Geospatial_data(file_name = project.offshore_dem_name0 + '.xya')+\ |
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| 74 | Geospatial_data(file_name = project.offshore_dem_name1 + '.xya')+\ |
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| 75 | Geospatial_data(file_name = project.offshore_dem_name2 + '.xya')+\ |
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| 76 | Geospatial_data(file_name = project.offshore_dem_name3 + '.xya')+\ |
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| 77 | Geospatial_data(file_name = project.offshore_dem_name4 + '.xya')+\ |
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| 78 | Geospatial_data(file_name = project.offshore_dem_name5 + '.xya')+\ |
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| 79 | Geospatial_data(file_name = project.offshore_dem_name6 + '.xya')+\ |
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| 80 | Geospatial_data(file_name = project.offshore_dem_name7 + '.xya')+\ |
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| 81 | Geospatial_data(file_name = project.offshore_dem_name8 + '.xya')+\ |
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| 82 | Geospatial_data(file_name = project.offshore_dem_name9 + '.xya')+\ |
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| 83 | Geospatial_data(file_name = project.offshore_dem_name10 + '.xya') |
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| 84 | G12= Geospatial_data(file_name = project.offshore_dem_name11 + '.xya')+\ |
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| 85 | Geospatial_data(file_name = project.offshore_dem_name12 + '.xya')+\ |
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| 86 | Geospatial_data(file_name = project.offshore_dem_name13 + '.xya')+\ |
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| 87 | Geospatial_data(file_name = project.offshore_dem_name14 + '.xya')+\ |
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| 88 | Geospatial_data(file_name = project.offshore_dem_name15 + '.xya')+\ |
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| 89 | Geospatial_data(file_name = project.offshore_dem_name16 + '.xya')+\ |
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| 90 | Geospatial_data(file_name = project.offshore_dem_name17 + '.xya')+\ |
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| 91 | Geospatial_data(file_name = project.offshore_dem_name18 + '.xya')+\ |
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| 92 | Geospatial_data(file_name = project.offshore_dem_name19 + '.xya')+\ |
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| 93 | Geospatial_data(file_name = project.offshore_dem_name20 + '.xya') |
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| 94 | G13= Geospatial_data(file_name = project.offshore_dem_name21 + '.xya')+\ |
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| 95 | Geospatial_data(file_name = project.offshore_dem_name22 + '.xya')+\ |
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| 96 | Geospatial_data(file_name = project.offshore_dem_name23 + '.xya')+\ |
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| 97 | Geospatial_data(file_name = project.offshore_dem_name24 + '.xya')+\ |
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| 98 | Geospatial_data(file_name = project.offshore_dem_name25 + '.xya')+\ |
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| 99 | Geospatial_data(file_name = project.offshore_dem_name26 + '.xya')+\ |
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| 100 | Geospatial_data(file_name = project.offshore_dem_name27 + '.xya')+\ |
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| 101 | Geospatial_data(file_name = project.offshore_dem_name28 + '.xya')+\ |
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| 102 | Geospatial_data(file_name = project.offshore_dem_name29 + '.xya') |
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| 103 | G14= Geospatial_data(file_name = project.offshore_dem_name30 + '.xya')+\ |
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| 104 | Geospatial_data(file_name = project.offshore_dem_name31 + '.xya')+\ |
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| 105 | Geospatial_data(file_name = project.offshore_dem_name32 + '.xya')+\ |
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| 106 | Geospatial_data(file_name = project.offshore_dem_name33 + '.xya')+\ |
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| 107 | Geospatial_data(file_name = project.offshore_dem_name34 + '.xya')+\ |
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| 108 | Geospatial_data(file_name = project.offshore_dem_name35 + '.xya')+\ |
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| 109 | Geospatial_data(file_name = project.offshore_dem_name36 + '.xya')+\ |
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| 110 | Geospatial_data(file_name = project.offshore_dem_name37 + '.xya')+\ |
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| 111 | Geospatial_data(file_name = project.offshore_dem_name38 + '.xya')+\ |
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| 112 | Geospatial_data(file_name = project.offshore_dem_name39 + '.xya') |
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| 113 | G15= Geospatial_data(file_name = project.offshore_dem_name40 + '.xya')+\ |
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| 114 | Geospatial_data(file_name = project.offshore_dem_name41 + '.xya')+\ |
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| 115 | Geospatial_data(file_name = project.offshore_dem_name42 + '.xya')+\ |
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| 116 | Geospatial_data(file_name = project.offshore_dem_name43 + '.xya')+\ |
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| 117 | Geospatial_data(file_name = project.offshore_dem_name44 + '.xya')+\ |
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| 118 | Geospatial_data(file_name = project.offshore_dem_name45 + '.xya')+\ |
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| 119 | Geospatial_data(file_name = project.offshore_dem_name46 + '.xya')+\ |
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| 120 | Geospatial_data(file_name = project.offshore_dem_name47 + '.xya')+\ |
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| 121 | Geospatial_data(file_name = project.offshore_dem_name48 + '.xya')+\ |
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| 122 | Geospatial_data(file_name = project.offshore_dem_name49 + '.xya')+\ |
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| 123 | Geospatial_data(file_name = project.offshore_dem_name50 + '.xya') |
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| 124 | |
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| 125 | print 'create onshore' |
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| 126 | G2 = Geospatial_data(file_name = project.onshore_dem_name + '.pts') |
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| 127 | print 'create coast' |
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| 128 | G3 = Geospatial_data(file_name = project.coast_dem_name + '.xya') |
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| 129 | print 'add' |
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| 130 | G = G11 + G12 + G13 + G14 + G15 + G2 + G3 |
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| 131 | print 'export G' |
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| 132 | G.export_points_file(project.combined_dem_name + '.pts') |
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| 133 | |
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| 134 | #------------------------------------------------------------------------------- |
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| 135 | # Create the triangular mesh based on overall clipping polygon with a tagged |
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| 136 | # boundary and interior regions defined in project.py along with |
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| 137 | # resolutions (maximal area of per triangle) for each polygon |
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| 138 | #------------------------------------------------------------------------------- |
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| 139 | |
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| 140 | from anuga.pmesh.mesh_interface import create_mesh_from_regions |
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| 141 | |
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| 142 | region_res = 500000 |
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| 143 | coast_res = 500 |
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| 144 | pt_hedland_res = 5000 |
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| 145 | interior_regions = [[project.poly_pt_hedland, pt_hedland_res], |
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| 146 | [project.poly_region, region_res]] |
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| 147 | |
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| 148 | print 'number of interior regions', len(interior_regions) |
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| 149 | |
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| 150 | from anuga.utilities.polygon import plot_polygons |
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| 151 | if sys.platform == 'win32': |
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| 152 | #figname = project.outputtimedir + 'pt_hedland_polys' |
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| 153 | figname = 'pt_hedland_polys_test' |
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| 154 | plot_polygons([project.polyAll,project.poly_pt_hedland,project.poly_region], |
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| 155 | figname, |
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| 156 | verbose = True) |
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| 157 | |
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| 158 | print 'start create mesh from regions' |
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| 159 | from caching import cache |
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| 160 | _ = cache(create_mesh_from_regions, |
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| 161 | project.polyAll, |
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| 162 | {'boundary_tags': {'topright': [0], 'topleft': [1], |
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| 163 | 'left': [2], 'bottom0': [3], |
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| 164 | 'bottom1': [4], 'bottom2': [5], |
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| 165 | 'bottom3': [6], 'right': [7]}, |
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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 | # Setup computational domain |
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| 173 | #------------------------------------------------------------------------------- |
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| 174 | domain = Domain(meshname, use_cache = False, verbose = True) |
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| 175 | |
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| 176 | print domain.statistics() |
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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 | |
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| 185 | #------------------------------------------------------------------------------- |
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| 186 | # Setup initial conditions |
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| 187 | #------------------------------------------------------------------------------- |
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| 188 | |
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| 189 | tide = 0. |
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| 190 | #high |
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| 191 | #tide = 3.6 |
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| 192 | #low |
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| 193 | #tide = -3.9 |
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| 194 | |
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| 195 | domain.set_quantity('stage', tide) |
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| 196 | domain.set_quantity('friction', 0.0) |
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| 197 | print 'hi and file',project.combined_dem_name + '.pts' |
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| 198 | |
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| 199 | domain.set_quantity('elevation', |
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| 200 | filename = project.combined_dem_name + '.pts', |
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| 201 | use_cache = True, |
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| 202 | verbose = True, |
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| 203 | alpha = 0.1 |
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| 204 | ) |
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| 205 | |
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| 206 | #------------------------------------------------------------------------------- |
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| 207 | # Setup boundary conditions (all reflective) |
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| 208 | #------------------------------------------------------------------------------- |
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| 209 | print 'start ferret2sww' |
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| 210 | # skipped as results in file SU-AU_clipped is correct for all WA |
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| 211 | |
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| 212 | from anuga.pyvolution.data_manager import ferret2sww |
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| 213 | |
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| 214 | south = project.south |
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| 215 | north = project.north |
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| 216 | west = project.west |
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| 217 | east = project.east |
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| 218 | |
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| 219 | #note only need to do when an SWW file for the MOST boundary doesn't exist |
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| 220 | cache(ferret2sww, |
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| 221 | (source_dir + project.boundary_basename, |
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| 222 | source_dir + project.boundary_basename+'_'+project.basename), |
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| 223 | {'verbose': True, |
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| 224 | 'minlat': south, |
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| 225 | 'maxlat': north, |
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| 226 | 'minlon': west, |
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| 227 | 'maxlon': east, |
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| 228 | # 'origin': project.mesh_origin, |
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| 229 | 'origin': domain.geo_reference.get_origin(), |
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| 230 | 'mean_stage': tide, |
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| 231 | 'zscale': 1, #Enhance tsunami |
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| 232 | 'fail_on_NaN': False, |
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| 233 | 'inverted_bathymetry': True}, |
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| 234 | evaluate = True, |
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| 235 | verbose = True, |
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| 236 | dependencies = source_dir + project.boundary_basename + '.sww') |
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| 237 | |
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| 238 | print 'Available boundary tags', domain.get_boundary_tags() |
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| 239 | |
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| 240 | Bf = File_boundary(source_dir + project.boundary_basename + '.sww', |
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| 241 | domain, verbose = True) |
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| 242 | Br = Reflective_boundary(domain) |
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| 243 | Bd = Dirichlet_boundary([tide,0,0]) |
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| 244 | domain.set_boundary( {'topright': Bf,'topleft': Bf, 'left': Bd, 'bottom0': Bd, |
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| 245 | 'bottom1': Bd, 'bottom2': Bd, 'bottom3': Bd, |
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| 246 | 'right': Bd}) |
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| 247 | |
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| 248 | #------------------------------------------------------------------------------- |
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| 249 | # Evolve system through time |
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| 250 | #------------------------------------------------------------------------------- |
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| 251 | import time |
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| 252 | t0 = time.time() |
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| 253 | |
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| 254 | for t in domain.evolve(yieldstep = 240, finaltime = 10800): |
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| 255 | domain.write_time() |
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| 256 | domain.write_boundary_statistics(tags = 'topright') |
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| 257 | |
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| 258 | for t in domain.evolve(yieldstep = 120, finaltime = 16200 |
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| 259 | ,skip_initial_step = True): |
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| 260 | domain.write_time() |
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| 261 | domain.write_boundary_statistics(tags = 'topright') |
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| 262 | |
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| 263 | for t in domain.evolve(yieldstep = 60, finaltime = 21600 |
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| 264 | ,skip_initial_step = True): |
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| 265 | domain.write_time() |
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| 266 | domain.write_boundary_statistics(tags = 'topright') |
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| 267 | |
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| 268 | for t in domain.evolve(yieldstep = 120, finaltime = 27000 |
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| 269 | ,skip_initial_step = True): |
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| 270 | domain.write_time() |
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| 271 | domain.write_boundary_statistics(tags = 'topright') |
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| 272 | |
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| 273 | for t in domain.evolve(yieldstep = 240, finaltime = 36000 |
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| 274 | ,skip_initial_step = True): |
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| 275 | domain.write_time() |
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| 276 | domain.write_boundary_statistics(tags = 'topright') |
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| 277 | |
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| 278 | print 'That took %.2f seconds' %(time.time()-t0) |
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| 279 | |
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| 280 | print 'finished' |
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