| 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.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 s submarine mass failure. |
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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 | |
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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.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 | #------------------------------------------------------------------------------- |
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| 52 | |
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| 53 | # filenames |
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| 54 | on_offshore_dem_name = project.on_offshore_dem_name |
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| 55 | meshname = project.meshname+'.msh' |
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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_offshore_dem_name, use_cache=True, verbose=True) |
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| 59 | |
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| 60 | #creates pts file for onshore DEM |
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| 61 | dem2pts(on_offshore_dem_name, use_cache=True, verbose=True) |
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| 62 | |
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| 63 | print 'create offshore' |
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| 64 | G1 = Geospatial_data(file_name = project.offshore_dem_name1 + '.xya')+\ |
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| 65 | Geospatial_data(file_name = project.offshore_dem_name2 + '.xya')+\ |
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| 66 | Geospatial_data(file_name = project.offshore_dem_name3 + '.xya')+\ |
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| 67 | Geospatial_data(file_name = project.offshore_dem_name4 + '.xya')+\ |
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| 68 | Geospatial_data(file_name = project.offshore_dem_name5 + '.xya')+\ |
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| 69 | Geospatial_data(file_name = project.offshore_dem_name6 + '.xya')+\ |
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| 70 | Geospatial_data(file_name = project.offshore_dem_name7 + '.xya')+\ |
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| 71 | Geospatial_data(file_name = project.offshore_dem_name8 + '.xya')+\ |
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| 72 | Geospatial_data(file_name = project.offshore_dem_name9 + '.xya')+\ |
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| 73 | Geospatial_data(file_name = project.offshore_dem_name10 + '.xya')+\ |
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| 74 | Geospatial_data(file_name = project.offshore_dem_name11 + '.xya')+\ |
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| 75 | Geospatial_data(file_name = project.offshore_dem_name12 + '.xya')+\ |
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| 76 | Geospatial_data(file_name = project.offshore_dem_name13 + '.xya')+\ |
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| 77 | Geospatial_data(file_name = project.offshore_dem_name14 + '.xya')+\ |
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| 78 | Geospatial_data(file_name = project.offshore_dem_name15 + '.xya')+\ |
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| 79 | Geospatial_data(file_name = project.offshore_dem_name16 + '.xya')+\ |
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| 80 | Geospatial_data(file_name = project.offshore_dem_name17 + '.xya')+\ |
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| 81 | Geospatial_data(file_name = project.offshore_dem_name18 + '.xya')+\ |
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| 82 | Geospatial_data(file_name = project.offshore_dem_name19 + '.xya')+\ |
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| 83 | Geospatial_data(file_name = project.offshore_dem_name20 + '.xya')+\ |
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| 84 | Geospatial_data(file_name = project.offshore_dem_name21 + '.xya')+\ |
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| 85 | Geospatial_data(file_name = project.offshore_dem_name22 + '.xya')+\ |
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| 86 | Geospatial_data(file_name = project.offshore_interp_dem_name + '.pts') |
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| 87 | print 'create onshore' |
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| 88 | G2 = Geospatial_data(file_name = project.on_offshore_dem_name + '.pts') |
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| 89 | print 'add' |
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| 90 | G = G1 + G2 + G3 |
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| 91 | print 'export points' |
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| 92 | G.export_points_file(project.combined_dem_name + '.pts') |
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| 93 | G.export_points_file(project.combined_dem_name + '.xya') |
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| 94 | |
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| 95 | #---------------------------------------------------------------------------- |
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| 96 | # Create the triangular mesh based on overall clipping polygon with a tagged |
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| 97 | # boundary and interior regions defined in project.py along with |
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| 98 | # resolutions (maximal area of per triangle) for each polygon |
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| 99 | #------------------------------------------------------------------------------- |
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| 100 | |
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| 101 | from anuga.pmesh.mesh_interface import create_mesh_from_regions |
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| 102 | remainder_res = 500000 |
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| 103 | local_res = 25000 |
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| 104 | gong_res = 5000 |
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| 105 | coast_res = 500 |
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| 106 | interior_regions = [[project.poly_gong1, local_res], |
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| 107 | [project.poly_gong2, gong_res], |
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| 108 | [project.poly_gong3, coast_res]] |
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| 109 | |
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| 110 | from caching import cache |
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| 111 | _ = cache(create_mesh_from_regions, |
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| 112 | project.polyAll, |
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| 113 | {'boundary_tags': {'e0': [0], 'e1': [1], 'e2': [2], |
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| 114 | 'e3': [3], 'e4':[4], 'e5': [5], |
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| 115 | 'e6': [6]}, |
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| 116 | 'maximum_triangle_area': remainder_res, |
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| 117 | 'filename': meshname, |
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| 118 | 'interior_regions': interior_regions}, |
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| 119 | verbose = True, evaluate=False) |
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| 120 | print 'created mesh' |
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| 121 | |
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| 122 | #------------------------------------------------------------------------------- |
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| 123 | # Setup computational domain |
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| 124 | #------------------------------------------------------------------------------- |
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| 125 | domain = Domain(meshname, use_cache = True, verbose = True) |
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| 126 | |
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| 127 | print 'Number of triangles = ', len(domain) |
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| 128 | print 'The extent is ', domain.get_extent() |
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| 129 | print domain.statistics() |
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| 130 | |
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| 131 | domain.set_name(project.basename) |
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| 132 | domain.set_datadir(project.outputtimedir) |
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| 133 | domain.set_quantities_to_be_stored(['stage', 'xmomentum', 'ymomentum']) |
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| 134 | domain.set_minimum_storable_height(0.01) |
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| 135 | |
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| 136 | #------------------------------------------------------------------------------- |
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| 137 | # Setup initial conditions |
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| 138 | #------------------------------------------------------------------------------- |
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| 139 | |
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| 140 | tide = 0.0 |
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| 141 | domain.set_quantity('stage', tide) |
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| 142 | domain.set_quantity('friction', 0.0) |
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| 143 | domain.set_quantity('elevation', |
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| 144 | filename = project.combined_dem_name + '.pts', |
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| 145 | use_cache = True, |
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| 146 | verbose = True, |
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| 147 | alpha = 0.1 |
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| 148 | ) |
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| 149 | |
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| 150 | #------------------------------------------------------------------------------- |
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| 151 | # Set up scenario (tsunami_source is a callable object used with set_quantity) |
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| 152 | #------------------------------------------------------------------------------- |
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| 153 | from smf import slide_tsunami |
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| 154 | |
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| 155 | tsunami_source = slide_tsunami(length=30000.0, |
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| 156 | depth=400.0, |
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| 157 | slope=6.0, |
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| 158 | thickness=176.0, |
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| 159 | radius=3330, |
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| 160 | dphi=0.23, |
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| 161 | x0=project.slump_origin[0], |
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| 162 | y0=project.slump_origin[1], |
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| 163 | alpha=0.0, |
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| 164 | domain=domain) |
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| 165 | |
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| 166 | #------------------------------------------------------------------------------- |
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| 167 | # Setup boundary conditions |
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| 168 | #------------------------------------------------------------------------------- |
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| 169 | print 'Available boundary tags', domain.get_boundary_tags() |
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| 170 | |
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| 171 | Br = Reflective_boundary(domain) |
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| 172 | Bd = Dirichlet_boundary([tide,0,0]) |
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| 173 | |
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| 174 | domain.set_boundary( {'e0': Bd, 'e1': Bd, 'e2': Bd, 'e3': Bd, 'e4': Bd, |
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| 175 | 'e5': Bd, 'e6': Bd} ) |
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| 176 | |
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| 177 | |
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| 178 | #------------------------------------------------------------------------------- |
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| 179 | # Evolve system through time |
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| 180 | #------------------------------------------------------------------------------- |
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| 181 | import time |
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| 182 | t0 = time.time() |
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| 183 | |
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| 184 | for t in domain.evolve(yieldstep = 30, finaltime = 480): |
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| 185 | domain.write_time() |
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| 186 | domain.write_boundary_statistics(tags = 'e14') |
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| 187 | stagestep = domain.get_quantity('stage') |
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| 188 | |
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| 189 | if allclose(t, 30): |
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| 190 | slide = Quantity(domain) |
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| 191 | slide.set_values(tsunami_source) |
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| 192 | domain.set_quantity('stage', slide + stagestep) |
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| 193 | |
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| 194 | print 'That took %.2f seconds' %(time.time()-t0) |
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| 195 | |
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| 196 | print 'finished' |
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