| 1 | """Script for running tsunami inundation scenario for Dampier, 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_urs.py |
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| 5 | The output sww file is stored in project_urs.output_run_time_dir |
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| 6 | |
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| 7 | The scenario is defined by a triangular mesh created from project_urs.polygon, |
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| 8 | the elevation data and a simulated tsunami generated with URS code. |
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| 9 | |
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| 10 | Ole Nielsen and Duncan Gray, GA - 2005 and Jane Sexton, 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 | from os import sep |
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| 19 | from os.path import dirname, basename |
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| 20 | from os import mkdir, access, F_OK |
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| 21 | from shutil import copy |
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| 22 | import time |
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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 |
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| 27 | from anuga.shallow_water import Dirichlet_boundary |
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| 28 | from anuga.shallow_water import File_boundary |
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| 29 | from anuga.shallow_water import Reflective_boundary |
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| 30 | from anuga.shallow_water import Field_boundary |
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| 31 | from Numeric import allclose |
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| 32 | from anuga.shallow_water.data_manager import export_grid |
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| 33 | |
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| 34 | |
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| 35 | from anuga.pmesh.mesh_interface import create_mesh_from_regions |
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| 36 | from anuga.shallow_water.data_manager import start_screen_catcher, copy_code_files,store_parameters |
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| 37 | from anuga_parallel.parallel_api import distribute, numprocs, myid, barrier |
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| 38 | from anuga_parallel.parallel_abstraction import get_processor_name |
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| 39 | from anuga.caching import myhash |
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| 40 | from anuga.damage_modelling.inundation_damage import add_depth_and_momentum2csv, inundation_damage |
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| 41 | from anuga.fit_interpolate.benchmark_least_squares import mem_usage |
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| 42 | |
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| 43 | # Application specific imports |
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| 44 | import project_urs # Definition of file names and polygons |
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| 45 | |
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| 46 | def run_model(**kwargs): |
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| 47 | |
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| 48 | # scenario_name = kwargs['aa_scenario_name'] |
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| 49 | |
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| 50 | #------------------------------------------------------------------------------ |
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| 51 | # Copy scripts to time stamped output directory and capture screen |
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| 52 | # output to file |
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| 53 | #------------------------------------------------------------------------------ |
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| 54 | |
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| 55 | #copy script must be before screen_catcher |
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| 56 | print 'tide',kwargs['tide'] |
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| 57 | kwargs['est_num_trigs']=project_urs.trigs_min |
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| 58 | kwargs['num_cpu']=numprocs |
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| 59 | kwargs['host']=project_urs.host |
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| 60 | kwargs['res_factor']=project_urs.res_factor |
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| 61 | kwargs['starttime']=project_urs.starttime |
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| 62 | kwargs['yieldstep']=project_urs.yieldstep |
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| 63 | kwargs['finaltime']=project_urs.finaltime |
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| 64 | |
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| 65 | kwargs['output_dir']=project_urs.output_run_time_dir |
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| 66 | kwargs['bathy_file']=project_urs.combined_dir_name + '.pts' |
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| 67 | # kwargs['bathy_file']=project_urs.combined_small_dir_name + '.txt' |
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| 68 | kwargs['boundary_file']=project_urs.boundaries_in_dir_name + '.sww' |
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| 69 | |
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| 70 | start_screen_catcher(kwargs['output_dir'], myid, numprocs) |
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| 71 | |
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| 72 | print 'output_dir',kwargs['output_dir'] |
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| 73 | if myid == 0: |
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| 74 | copy_code_files(kwargs['output_dir'],__file__, |
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| 75 | dirname(project_urs.__file__)+sep+ project_urs.__name__+'.py' ) |
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| 76 | |
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| 77 | store_parameters(**kwargs) |
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| 78 | |
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| 79 | barrier() |
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| 80 | |
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| 81 | print "Processor Name:",get_processor_name() |
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| 82 | |
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| 83 | # creates copy of code in output dir |
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| 84 | print 'min triangles', project_urs.trigs_min, |
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| 85 | print 'Note: This is generally about 20% less than the final amount' |
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| 86 | |
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| 87 | |
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| 88 | #-------------------------------------------------------------------------- |
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| 89 | # Create the triangular mesh based on overall clipping polygon with a |
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| 90 | # tagged |
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| 91 | # boundary and interior regions defined in project_urs.py along with |
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| 92 | # resolutions (maximal area of per triangle) for each polygon |
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| 93 | #-------------------------------------------------------------------------- |
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| 94 | #IMPORTANT don't cache create_mesh_from_region and Domain(mesh....) as it |
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| 95 | # causes problems with the ability to cache set quantity which takes alot of times |
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| 96 | |
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| 97 | if myid == 0: |
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| 98 | |
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| 99 | print 'start create mesh from regions' |
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| 100 | |
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| 101 | create_mesh_from_regions(project_urs.poly_all, |
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| 102 | boundary_tags={'back': [4, 5], 'side': [3, 6], |
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| 103 | 'ocean': [0, 1, 2]}, |
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| 104 | maximum_triangle_area=project_urs.res_poly_all, |
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| 105 | interior_regions=project_urs.interior_regions, |
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| 106 | filename=project_urs.meshes_dir_name+'.msh', |
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| 107 | use_cache=False, |
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| 108 | verbose=True) |
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| 109 | barrier() |
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| 110 | |
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| 111 | |
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| 112 | #------------------------------------------------------------------------- |
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| 113 | # Setup computational domain |
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| 114 | #------------------------------------------------------------------------- |
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| 115 | print 'Setup computational domain' |
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| 116 | #from caching import cache |
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| 117 | |
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| 118 | #domain = cache(Domain, (meshes_dir_name), {'use_cache':True, 'verbose':True}, verbose=True) |
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| 119 | #above don't work |
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| 120 | domain = Domain(project_urs.meshes_dir_name+'.msh', use_cache=False, verbose=True) |
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| 121 | |
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| 122 | print domain.statistics() |
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| 123 | print 'triangles',len(domain) |
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| 124 | |
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| 125 | kwargs['act_num_trigs']=len(domain) |
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| 126 | |
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| 127 | #------------------------------------------------------------------------- |
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| 128 | # Setup initial conditions |
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| 129 | #------------------------------------------------------------------------- |
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| 130 | if myid == 0: |
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| 131 | |
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| 132 | print 'Setup initial conditions' |
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| 133 | |
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| 134 | from polygon import Polygon_function |
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| 135 | #following sets the stage/water to be offcoast only |
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| 136 | IC = Polygon_function( [(project_urs.poly_mainland, -1.0)], default = kwargs['tide'], |
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| 137 | geo_reference = domain.geo_reference) |
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| 138 | domain.set_quantity('stage', IC) |
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| 139 | domain.set_quantity('friction', kwargs['friction']) |
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| 140 | |
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| 141 | print 'Start Set quantity' |
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| 142 | |
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| 143 | domain.set_quantity('elevation', |
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| 144 | filename = kwargs['bathy_file'], |
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| 145 | use_cache = True, |
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| 146 | verbose = True, |
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| 147 | alpha = kwargs['alpha']) |
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| 148 | print 'Finished Set quantity' |
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| 149 | barrier() |
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| 150 | |
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| 151 | |
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| 152 | #------------------------------------------------------ |
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| 153 | # Distribute domain to implement parallelism !!! |
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| 154 | #------------------------------------------------------ |
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| 155 | |
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| 156 | if numprocs > 1: |
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| 157 | domain=distribute(domain) |
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| 158 | |
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| 159 | #------------------------------------------------------ |
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| 160 | # Set domain parameters |
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| 161 | #------------------------------------------------------ |
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| 162 | print 'domain id', id(domain) |
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| 163 | domain.set_name(kwargs['aa_scenario_name']) |
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| 164 | domain.set_datadir(kwargs['output_dir']) |
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| 165 | domain.set_default_order(2) # Apply second order scheme |
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| 166 | domain.set_minimum_storable_height(0.01) # Don't store anything less than 1cm |
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| 167 | domain.set_store_vertices_uniquely(False) |
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| 168 | domain.set_quantities_to_be_stored(['stage', 'xmomentum', 'ymomentum']) |
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| 169 | |
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| 170 | |
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| 171 | #------------------------------------------------------------------------- |
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| 172 | # Setup boundary conditions |
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| 173 | #------------------------------------------------------------------------- |
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| 174 | print 'Available boundary tags', domain.get_boundary_tags() |
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| 175 | print 'domain id', id(domain) |
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| 176 | #print 'Reading Boundary file',project_urs.boundaries_dir_namea + '.sww' |
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| 177 | |
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| 178 | Bf = Field_boundary(kwargs['boundary_file'], |
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| 179 | domain, time_thinning=kwargs['time_thinning'], mean_stage=kwargs['tide'], |
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| 180 | use_cache=True, verbose=True) |
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| 181 | |
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| 182 | kwargs['input_start_time']=domain.starttime |
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| 183 | |
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| 184 | print 'finished reading boundary file' |
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| 185 | |
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| 186 | Br = Reflective_boundary(domain) |
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| 187 | Bd = Dirichlet_boundary([kwargs['tide'],0,0]) |
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| 188 | |
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| 189 | print'set_boundary' |
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| 190 | |
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| 191 | domain.set_boundary({'back': Br, |
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| 192 | 'side': Bd, |
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| 193 | 'ocean': Bf}) |
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| 194 | print'finish set boundary' |
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| 195 | |
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| 196 | #---------------------------------------------------------------------------- |
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| 197 | # Evolve system through time |
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| 198 | #---------------------------------------------------------------------------- |
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| 199 | |
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| 200 | t0 = time.time() |
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| 201 | |
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| 202 | for t in domain.evolve(yieldstep = 240, finaltime = kwargs['starttime']): |
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| 203 | domain.write_time() |
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| 204 | domain.write_boundary_statistics(tags = 'ocean') |
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| 205 | |
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| 206 | for t in domain.evolve(yieldstep = kwargs['yieldstep'], finaltime = 21600 |
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| 207 | ,skip_initial_step = True): |
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| 208 | domain.write_time() |
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| 209 | domain.write_boundary_statistics(tags = 'ocean') |
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| 210 | |
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| 211 | for t in domain.evolve(yieldstep = 240, finaltime = kwargs['finaltime'] |
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| 212 | ,skip_initial_step = True): |
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| 213 | domain.write_time() |
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| 214 | domain.write_boundary_statistics(tags = 'ocean') |
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| 215 | |
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| 216 | x, y = domain.get_maximum_inundation_location() |
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| 217 | q = domain.get_maximum_inundation_elevation() |
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| 218 | |
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| 219 | print 'Maximum runup observed at (%.2f, %.2f) with elevation %.2f' %(x,y,q) |
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| 220 | |
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| 221 | print 'That took %.2f seconds' %(time.time()-t0) |
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| 222 | |
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| 223 | kwargs['completed']=str(time.time()-t0) |
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| 224 | |
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| 225 | if myid == 0: |
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| 226 | #store_parameters(**kwargs) |
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| 227 | |
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| 228 | print 'memory usage before del domain',mem_usage() |
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| 229 | #del domain |
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| 230 | print 'memory usage after del domain',mem_usage() |
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| 231 | |
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| 232 | |
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| 233 | swwfile = kwargs['output_dir']+kwargs['aa_scenario_name'] |
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| 234 | print 'swwfile',swwfile |
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| 235 | |
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| 236 | export_grid(swwfile, extra_name_out = 'town', |
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| 237 | quantities = ['speed'], # '(xmomentum**2 + ymomentum**2)**0.5' defaults to elevation |
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| 238 | # quantities = ['elevation','depth','stage','speed'], # '(xmomentum**2 + ymomentum**2)**0.5' defaults to elevation |
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| 239 | timestep = None, |
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| 240 | reduction = max, |
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| 241 | cellsize = 25, |
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| 242 | NODATA_value = -9999, |
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| 243 | easting_min = project_urs.eastingmin, |
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| 244 | easting_max = project_urs.eastingmax, |
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| 245 | northing_min = project_urs.northingmin, |
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| 246 | northing_max = project_urs.northingmax, |
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| 247 | verbose = True, |
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| 248 | origin = None, |
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| 249 | datum = 'WGS84', |
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| 250 | format = 'asc') |
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| 251 | |
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| 252 | buildings_filename = project_urs.buildings_filename |
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| 253 | buildings_filename_out = project_urs.buildings_filename_out |
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| 254 | |
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| 255 | #inundation_damage(swwfile+'.sww', buildings_filename, buildings_filename_out) |
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| 256 | print '\n Augmented building file written to %s \n' \ |
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| 257 | %buildings_filename_out |
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| 258 | barrier() |
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| 259 | |
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| 260 | #------------------------------------------------------------- |
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| 261 | if __name__ == "__main__": |
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| 262 | |
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| 263 | run_model(file_name=project_urs.home+'detail.csv', aa_scenario_name=project_urs.scenario_name, |
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| 264 | ab_time=project_urs.time, res_factor= project_urs.res_factor, tide=project_urs.tide, user=project_urs.user, |
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| 265 | alpha = project_urs.alpha, friction=project_urs.friction, |
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| 266 | time_thinning = project_urs.time_thinning, |
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| 267 | dir_comment=project_urs.dir_comment) |
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| 268 | |
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| 269 | |
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