1 | """Script for running a tsunami inundation scenario for Sydney, NSW, Australia. |
---|
2 | |
---|
3 | Source data such as elevation and boundary data is assumed to be available in |
---|
4 | directories specified by project.py |
---|
5 | The output sww file is stored in project.outputdir |
---|
6 | |
---|
7 | The scenario is defined by a triangular mesh created from project.polygon, |
---|
8 | the elevation data and a simulated submarine landslide. |
---|
9 | |
---|
10 | Ole Nielsen and Duncan Gray, GA - 2005 and Adrian Hitchman and Jane Sexton, GA - 2006 |
---|
11 | """ |
---|
12 | |
---|
13 | |
---|
14 | #-------------------------------------------------------------------------------# Import necessary modules |
---|
15 | #------------------------------------------------------------------------------- |
---|
16 | |
---|
17 | # Standard modules |
---|
18 | import os |
---|
19 | import time |
---|
20 | |
---|
21 | # Related major packages |
---|
22 | from pyvolution.shallow_water import Domain, Reflective_boundary, Time_boundary |
---|
23 | from pyvolution.data_manager import convert_dem_from_ascii2netcdf, dem2pts |
---|
24 | from pyvolution.combine_pts import combine_rectangular_points_files |
---|
25 | from pyvolution.pmesh2domain import pmesh_to_domain_instance |
---|
26 | from pyvolution.quantity import Quantity |
---|
27 | from geospatial_data import * |
---|
28 | |
---|
29 | # Application specific imports |
---|
30 | import project # Definition of file names and polygons |
---|
31 | from smf import slump_tsunami # Function for submarine mudslide |
---|
32 | |
---|
33 | |
---|
34 | #------------------------------------------------------------------------------- |
---|
35 | # Preparation of topographic data |
---|
36 | # |
---|
37 | # Convert ASC 2 DEM 2 PTS using source data and store result in source data |
---|
38 | # Do for coarse and fine data |
---|
39 | # Fine pts file to be clipped to area of interest |
---|
40 | #------------------------------------------------------------------------------- |
---|
41 | # filenames |
---|
42 | coarsedemname = project.coarsedemname |
---|
43 | finedemname = project.finedemname |
---|
44 | |
---|
45 | |
---|
46 | # coarse data |
---|
47 | convert_dem_from_ascii2netcdf(coarsedemname, use_cache=True, verbose=True) |
---|
48 | #dem2pts(coarsedemname, use_cache=True, verbose=True) |
---|
49 | dem2pts(coarsedemname, |
---|
50 | easting_min=project.eastingmin, |
---|
51 | easting_max=project.eastingmax, |
---|
52 | northing_min=project.northingmin, |
---|
53 | northing_max= project.northingmax, |
---|
54 | use_cache=True, |
---|
55 | verbose=True) |
---|
56 | |
---|
57 | # fine data (clipping the points file to smaller area) |
---|
58 | convert_dem_from_ascii2netcdf(finedemname, use_cache=True, verbose=True) |
---|
59 | dem2pts(finedemname, |
---|
60 | easting_min=project.eastingmin, |
---|
61 | easting_max=project.eastingmax, |
---|
62 | northing_min=project.northingmin, |
---|
63 | northing_max= project.northingmax, |
---|
64 | use_cache=True, |
---|
65 | verbose=True) |
---|
66 | |
---|
67 | |
---|
68 | # combining the coarse and fine data |
---|
69 | combine_rectangular_points_files(project.finedemname + '.pts', |
---|
70 | project.coarsedemname + '.pts', |
---|
71 | project.combineddemname + '.pts') |
---|
72 | |
---|
73 | #------------------------------------------------------------------------------- |
---|
74 | # Create the triangular mesh based on overall clipping polygon with a tagged |
---|
75 | # boundary and interior regions defined in project.py along with |
---|
76 | # resolutions (maximal area of per triangle) for each polygon |
---|
77 | #------------------------------------------------------------------------------- |
---|
78 | #from pmesh.create_mesh import create_mesh_from_regions |
---|
79 | from pmesh.mesh_interface import create_mesh_from_regions |
---|
80 | |
---|
81 | meshname = project.meshname4+'.msh' |
---|
82 | |
---|
83 | interior_res1 = 25000 |
---|
84 | interior_res2 = 1315 |
---|
85 | print 'interior resolution', interior_res1, interior_res2 |
---|
86 | |
---|
87 | # Read in files containing polygon points (generated by GIS) |
---|
88 | # and construct list of interior polygons into interior_regions. |
---|
89 | |
---|
90 | def get_polygon_from_file(filename): |
---|
91 | """ Function to read in output from GIS determined polygon |
---|
92 | """ |
---|
93 | fid = open(filename) |
---|
94 | lines = fid.readlines() |
---|
95 | fid.close() |
---|
96 | |
---|
97 | polygon = [] |
---|
98 | for line in lines[1:]: |
---|
99 | fields = line.split(',') |
---|
100 | x = float(fields[1]) |
---|
101 | y = float(fields[2]) |
---|
102 | polygon.append([x, y]) |
---|
103 | |
---|
104 | return polygon |
---|
105 | |
---|
106 | num_polygons = 3 |
---|
107 | fileext = '.csv' |
---|
108 | filename = project.polygonptsfile |
---|
109 | |
---|
110 | interior_regions = [] |
---|
111 | |
---|
112 | for p in range(3, num_polygons+1): |
---|
113 | thefilename = filename + str(p) + fileext |
---|
114 | print 'reading in polygon points', thefilename |
---|
115 | interior_polygon = get_polygon_from_file(thefilename) |
---|
116 | interior_regions.append([interior_polygon, interior_res1]) |
---|
117 | |
---|
118 | print 'number of interior polygons: ', len(interior_regions) |
---|
119 | |
---|
120 | #print 'Number of interior polygons: ', len(interior_regions) |
---|
121 | |
---|
122 | # original |
---|
123 | #interior_regions = [] |
---|
124 | #interior_regions = [[project.harbour_polygon_2, interior_res1], |
---|
125 | # [project.botanybay_polygon_2, interior_res1]] |
---|
126 | |
---|
127 | # finer set |
---|
128 | #interior_regions = [[project.newpoly1, interior_res1], |
---|
129 | # #[project.parrariver, interior_res1], #remove for second run |
---|
130 | # [project.south1, interior_res1], |
---|
131 | # [project.finepolymanly, interior_res2], |
---|
132 | # [project.finepolyquay, interior_res2]] |
---|
133 | |
---|
134 | #FIXME: Fix caching of this one once the mesh_interface is ready |
---|
135 | from caching import cache |
---|
136 | |
---|
137 | #_ = cache(create_mesh_from_regions, |
---|
138 | # project.diffpolygonall, |
---|
139 | # {'boundary_tags': {'bottom': [0], |
---|
140 | # 'right1': [1], 'right0': [2], |
---|
141 | # 'right2': [3], 'top': [4], 'left1': [5], |
---|
142 | # 'left2': [6], 'left3': [7]}, |
---|
143 | # 'maximum_triangle_area': 100000, |
---|
144 | # 'filename': meshname, |
---|
145 | # 'interior_regions': interior_regions}, |
---|
146 | # verbose = True) |
---|
147 | |
---|
148 | _ = cache(create_mesh_from_regions, |
---|
149 | project.diffpolygonall_test, |
---|
150 | {'boundary_tags': {'bottom': [0], 'right': [1], |
---|
151 | 'top': [2], 'left': [3]}, |
---|
152 | 'maximum_triangle_area': 100000, |
---|
153 | 'filename': meshname, |
---|
154 | 'interior_regions': interior_regions}, |
---|
155 | verbose = True) |
---|
156 | |
---|
157 | #mesh_geo_reference: |
---|
158 | #------------------------------------------------------------------------------- |
---|
159 | # Setup computational domain |
---|
160 | #------------------------------------------------------------------------------- |
---|
161 | |
---|
162 | domain = pmesh_to_domain_instance(meshname, Domain, |
---|
163 | use_cache = True, |
---|
164 | verbose = True) |
---|
165 | |
---|
166 | print 'Number of triangles = ', len(domain) |
---|
167 | print 'The extent is ', domain.get_extent() |
---|
168 | print domain.statistics() |
---|
169 | |
---|
170 | domain.set_name(project.basename4) |
---|
171 | domain.set_datadir(project.outputdir) |
---|
172 | domain.set_quantities_to_be_stored(['stage', 'xmomentum', 'ymomentum']) |
---|
173 | |
---|
174 | |
---|
175 | |
---|
176 | |
---|
177 | #------------------------------------------------------------------------------- |
---|
178 | # Set up scenario (tsunami_source is a callable object used with set_quantity) |
---|
179 | #------------------------------------------------------------------------------- |
---|
180 | |
---|
181 | tsunami_source = slump_tsunami(length=30000.0, |
---|
182 | depth=400.0, |
---|
183 | slope=6.0, |
---|
184 | thickness=176.0, |
---|
185 | radius=3330, |
---|
186 | dphi=0.23, |
---|
187 | x0=project.slump_origin[0], |
---|
188 | y0=project.slump_origin[1], |
---|
189 | alpha=0.0, |
---|
190 | domain=domain) |
---|
191 | |
---|
192 | #print 'testing', tsunami_source.get_integral() |
---|
193 | |
---|
194 | #------------------------------------------------------------------------------- |
---|
195 | # Setup initial conditions |
---|
196 | #------------------------------------------------------------------------------- |
---|
197 | |
---|
198 | G = Geospatial_data(project.test_pts, project.test_elev) #points, attributes |
---|
199 | domain.set_quantity('stage', 0) #tsunami_source) |
---|
200 | domain.set_quantity('friction', 0.0) # supplied by Benfield, initial value 0.03 |
---|
201 | domain.set_quantity('elevation', alpha = 10.0,#G, alpha = 550.0, |
---|
202 | #filename = project.combineddemname + '.pts', |
---|
203 | filename = project.coarsedemname + '.pts', |
---|
204 | use_cache = False, |
---|
205 | verbose = True) |
---|
206 | |
---|
207 | from pyvolution.least_squares import fit_to_mesh_file, DEFAULT_ALPHA |
---|
208 | |
---|
209 | #Add elevation data to the mesh |
---|
210 | #fit_to_mesh_file(mesh_file, point_file, mesh_output_file, DEFAULT_ALPHA, |
---|
211 | # verbose=True, expand_search=True, precrop=True) |
---|
212 | #pointname = project.coarsedemname + '.pts' |
---|
213 | #mesh_elevname = project.meshelevname |
---|
214 | #cache(fit_to_mesh_file,(meshname, |
---|
215 | # pointname, |
---|
216 | # mesh_elevname, |
---|
217 | # DEFAULT_ALPHA), |
---|
218 | # {'verbose': True, |
---|
219 | # 'expand_search': True, |
---|
220 | # 'precrop': True} |
---|
221 | # ,dependencies = [meshname, pointname] |
---|
222 | # #,evaluate = True |
---|
223 | # ,verbose = False |
---|
224 | # ) |
---|
225 | |
---|
226 | #------------------------------------------------------------------------------- |
---|
227 | # Setup boundary conditions (all reflective) |
---|
228 | #------------------------------------------------------------------------------- |
---|
229 | |
---|
230 | print 'Available boundary tags', domain.get_boundary_tags() |
---|
231 | |
---|
232 | Br = Reflective_boundary(domain) |
---|
233 | |
---|
234 | #domain.set_boundary( {'bottom': Br, 'right1': Br, 'right0': Br, |
---|
235 | # 'right2': Br, 'top': Br, 'left1': Br, |
---|
236 | # 'left2': Br, 'left3': Br} ) |
---|
237 | domain.set_boundary( {'bottom': Br, 'right': Br, 'left': Br, 'top': Br} ) |
---|
238 | #domain.set_boundary( {'bottom': Br, 'right1': Br, 'right0': Br, |
---|
239 | # 'right2': Br, 'top': Br, 'left1': Br, |
---|
240 | # 'left2': Br, 'left3': Br} ) |
---|
241 | |
---|
242 | |
---|
243 | #------------------------------------------------------------------------------- |
---|
244 | # Evolve system through time |
---|
245 | #------------------------------------------------------------------------------- |
---|
246 | |
---|
247 | import time |
---|
248 | t0 = time.time() |
---|
249 | thisfile = project.integraltimeseries+'.csv' |
---|
250 | fid = open(thisfile, 'w') |
---|
251 | |
---|
252 | # original |
---|
253 | for t in domain.evolve(yieldstep = 1, finaltime = 10): |
---|
254 | domain.write_time() |
---|
255 | domain.write_boundary_statistics(tags = 'bottom') |
---|
256 | stagestep = domain.get_quantity('stage') |
---|
257 | s = '%.2f, %.2f\n' %(t, stagestep.get_integral()) |
---|
258 | fid.write(s) |
---|
259 | |
---|
260 | print 'That took %.2f seconds' %(time.time()-t0) |
---|
261 | |
---|
262 | |
---|
263 | |
---|