def SetRoughness(rough_in):
# Import roughness raster
# Create DEM from asc data
anuga.asc2dem(rough_in + '.asc', use_cache=False, verbose=True)
# Create pts from DEM data
anuga.dem2pts(rough_in + '.dem', use_cache=False, verbose=True)
def build_elevation():
"""Create combined elevation data.
Combine all raw elevation data and clip to bounding polygon.
"""
# Create Geospatial data from ASCII files
geospatial_data = {}
for filename in project.ascii_grid_filenames:
log.info('Reading elevation file %s' % filename)
absolute_filename = os.path.join(project.raw_elevation_folder, filename)
anuga.asc2dem(absolute_filename+'.asc',
use_cache=False, verbose=False)
anuga.dem2pts(absolute_filename+'.dem', use_cache=False, verbose=False)
G_grid = anuga.geospatial_data.\
Geospatial_data(file_name=absolute_filename+'.pts',
verbose=False)
geospatial_data[filename] = G_grid.clip(project.bounding_polygon)
# Create Geospatial data from TXT files
for filename in project.point_filenames:
log.info('Reading elevation file %s' % filename)
absolute_filename = os.path.join(project.raw_elevation_folder, filename)
G_points = anuga.geospatial_data.\
Geospatial_data(file_name=absolute_filename,
verbose=False)
geospatial_data[filename] = G_points.clip(project.bounding_polygon)
#####
# Combine, clip and export dataset
#####
G = None
for key in geospatial_data:
G += geospatial_data[key]
G.export_points_file(project.combined_elevation_filestem + '.pts')
# Use for comparision in ARC
# DO WE NEED THIS?
G.export_points_file(project.combined_elevation_filestem + '.txt')
def CreateDomain(topo_in, bound_in, datadir, inlet_btag, outlet_btag, res,
parlist):
# Import Channel topography DEM
# Create DEM from asc data
anuga.asc2dem(topo_in + '.asc', use_cache=False, verbose=True)
# Create DEM from asc data
anuga.dem2pts(topo_in + '.dem', use_cache=False, verbose=True)
# Define boundaries for mesh
# Read in coordinate file
bounding_polygon = anuga.read_polygon(bound_in + '.csv')
print(inlet_btag)
#Determine tag to assign as reflective exterior
for i in numpy.arange(1, 4):
print(i)
if int(i) == int(inlet_btag):
print(str(inlet_btag) + ' already taken')
else:
print(str(i) + ' used as exterior tag')
break
# Create mesh with bounding polygon
domain = anuga.create_domain_from_regions(bounding_polygon,
boundary_tags={
'inlet': [inlet_btag],
'exterior': [i],
'outlet': [outlet_btag]
},
maximum_triangle_area=res,
mesh_filename=parlist + '.msh',
use_cache=False,
verbose=True)
# Name domain and decide where to save
domain.set_name(parlist)
domain.set_datadir('.')
return domain
#------------------------------------------------------------------------------
import anuga
from anuga import rectangular_cross
from anuga import Domain
from anuga import Dirichlet_boundary, Reflective_boundary
#===============================================================================
# Setup Functions
#===============================================================================
filename_root = 'topo'
# Convert an elevation raster into a point file
anuga.asc2dem(filename_root + '.asc', use_cache = False, verbose = True)
anuga.dem2pts(filename_root + '.dem', use_cache = False, verbose = True)
"""
Include the process-specific quantities when creating the domain
"""
# import bounding polygon text file, set boundary tags
bounding_polygon = anuga.read_polygon('outline.csv')
boundary_tags = {'bottom':[0],
'side1':[1],
'side2':[2],
'top':[3],
'side3':[4],
asc_name = 'topography1.asc'
meshname = 'merewether.msh'
dem_name = 'topography1.dem'
args = anuga.get_args()
alg = args.alg
verbose = args.verbose
if myid == 0:
# Unzip asc from zip file
import zipfile as zf
if verbose: print('Reading ASC from ' + zip_name)
zf.ZipFile(zip_name).extract(asc_name)
# Create DEM from asc data
anuga.asc2dem(asc_name, verbose=verbose, use_cache=use_cache)
# Create pts file for onshore DEM
anuga.dem2pts(dem_name, verbose=verbose, use_cache=use_cache)
#------------------------------------------------------------------------------
# Create the triangular mesh based on overall clipping polygon with a tagged
# boundary and interior regions defined in project.py along with
# resolutions (maximal area of per triangle) for each polygon
#------------------------------------------------------------------------------
remainder_res = 2.0
houses_res = 1.0
merewether_res = 1.0
holes_res = 1.0
interior_regions = [[project.poly_merewether, merewether_res]]
asc_name = 'topography1.asc'
meshname = 'merewether.msh'
dem_name = 'topography1.dem'
args = anuga.get_args()
alg = args.alg
verbose = args.verbose
if myid == 0:
# Unzip asc from zip file
import zipfile as zf
if verbose: print 'Reading ASC from ' + zip_name
zf.ZipFile(zip_name).extract(asc_name)
# Create DEM from asc data
anuga.asc2dem(asc_name, verbose=verbose, use_cache=use_cache)
# Create pts file for onshore DEM
anuga.dem2pts(dem_name, verbose=verbose, use_cache=use_cache)
#------------------------------------------------------------------------------
# Create the triangular mesh based on overall clipping polygon with a tagged
# boundary and interior regions defined in project.py along with
# resolutions (maximal area of per triangle) for each polygon
#------------------------------------------------------------------------------
remainder_res = 2.0
houses_res = 1.0
merewether_res = 1.0
holes_res = 1.0
interior_regions = [[project.poly_merewether, merewether_res]]
def VegCreate(name_in, quantity_name):
easting_min = None
easting_max = None
northing_min = None
northing_max = None
anuga.asc2dem(name_in + '.asc', use_cache=False, verbose=True)
infile = NetCDFFile(name_in + '.dem', netcdf_mode_r)
ncols = int(infile.ncols)
nrows = int(infile.nrows)
xllcorner = float(infile.xllcorner) # Easting of lower left corner
yllcorner = float(infile.yllcorner) # Northing of lower left corner
cellsize = float(infile.cellsize)
NODATA_value = float(infile.NODATA_value)
dem_elevation = infile.variables['elevation']
# Assign default values
if easting_min is None: easting_min = xllcorner
if easting_max is None: easting_max = xllcorner + ncols * cellsize
if northing_min is None: northing_min = yllcorner
if northing_max is None: northing_max = yllcorner + nrows * cellsize
y = np.arange(nrows, dtype=np.float)
y = yllcorner + (nrows - 1) * cellsize - y * cellsize
x = np.arange(ncols, dtype=np.float)
x = xllcorner + x * cellsize
xx, yy = np.meshgrid(x, y)
xx = xx.flatten()
yy = yy.flatten()
flag = np.logical_and(
np.logical_and((xx <= easting_max), (xx >= easting_min)),
np.logical_and((yy <= northing_max), (yy >= northing_min)))
dem = dem_elevation[:].flatten()
id = np.where(flag)[0]
xx = xx[id]
yy = yy[id]
dem = dem[id]
data_flag = dem != NODATA_value
data_id = np.where(data_flag)
points = np.zeros((len(data_id[0]), 3))
points[:, 0] = xx[data_id] - easting_min
points[:, 1] = yy[data_id] - northing_min
points[:, 2] = dem[data_id]
x_ = np.arange(0, np.ceil(points[:, 0].max() + 1))
y_ = np.arange(0, np.ceil(points[:, 1].max() + 1))
grid_x, grid_y = np.meshgrid(x_, y_)
grid_z = np.zeros_like(grid_x)
dem = dem_elevation[:]
dem = dem.data
grid_z = dem
points = np.vstack(
(grid_x.flatten() + easting_min, grid_y.flatten() + northing_min,
grid_z.flatten())).T
infile.close()
interp = NearestNDInterpolator(points[:, 0:2], points[:, 2])
coord = domain.get_centroid_coordinates(absolute=True)
z_ = interp(coord)
print 'Veg Load: saving interpolated file: ', name_in + '_interp.npy'
np.save(name_in + '_interp.npy', z_)
dem_asc_file = 'data/dem.asc'
dem_cdf_file = 'data/dem.dem'
dem_pts_file = 'data/dem.pts'
mesh_file = 'jakarta.msh'
init_stage = 17
inflow_stage = init_stage+10+5
base_scale = 2 # 1 -> ~3 meter wide triangles
default_res = 100 * base_scale # Background resolution
# coordinates extracted out of boundary layer
bounding_polygon = [(704627,9.30357e+06), (704937,9.30354e+06), (705274,9.30368e+06), (705246,9.30445e+06), (704679,9.30491e+06), (704646,9.30526e+06), (705521,9.30634e+06), (705961,9.30702e+06), (706430,9.30703e+06), (706449,9.30741e+06), (706229,9.30769e+06), (704918,9.30769e+06), (704890,9.30667e+06), (704019,9.30582e+06), (704057,9.30488e+06), (703789,9.30459e+06), (704359,9.3042e+06), (704627,9.30357e+06)]
# Create NetCDF file from asc data
res = anuga.asc2dem(dem_asc_file, use_cache=cache, verbose=verbose)
# Create pts file from dem
anuga.dem2pts(dem_cdf_file, use_cache=cache, verbose=verbose)
interior_regions = [] # this makes huge mesh [bounding_polygon, base_scale] ]
# name + list of segments
boundary_tags = { 'in': [0] } # {'in': [0], 'other': [1,2,3,4] }
#------------------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#------------------------------------------------------------------------------
domain = anuga.create_domain_from_regions(bounding_polygon,
def build_elevation():
"""Create combined elevation data.
Combine all raw elevation data and clip to bounding polygon.
"""
# if no elevation to combine, we *must* have a combined elevation file
if not project.point_filenames:
if not project.combined_elevation_file:
abort('No raw elevation data and no combined elevation data!?')
return
# user wants us to create combined elevation, make output filename
project.combined_elevation_file = os.path.join(project.topographies_folder,
'combined_elevation.pts')
# # Create Geospatial data from ASCII files
# geospatial_data = {}
# if not project.ascii_grid_filenames == []:
# for filename in project.ascii_grid_filenames:
# absolute_filename = join(project.topographies_folder, filename)
#
# anuga.asc2dem(absolute_filename+'.asc',
# use_cache=False,
# verbose=True)
#
# anuga.dem2pts(absolute_filename+'.dem', use_cache=False, verbose=True)
#
# G_grid = anuga.geospatial_data.Geospatial_data(file_name=absolute_filename+'.pts',verbose=True)
#
# print 'Clip geospatial object'
# geospatial_data[filename] = G_grid.clip(project.bounding_polygon)
# Create Geospatial data from TXT files
geospatial_data = {}
for filename in project.point_filenames:
log.info('Reading elevation file %s' % filename)
absolute_filename = os.path.join(project.raw_elevation_directory, filename)
name_stem = absolute_filename[:-4] # remove 'asc'
log.info('name_stem=%s' % name_stem)
anuga.asc2dem(absolute_filename, use_cache=False, verbose=True)
anuga.dem2pts(name_stem+'.dem', use_cache=False, verbose=True)
pts_filename = name_stem + '.pts'
G_points = anuga.geospatial_data.\
Geospatial_data(file_name=pts_filename, verbose=False)
geospatial_data[filename] = G_points.clip(project.bounding_polygon)
#####
# Combine, clip and export dataset
#####
G = None
for key in geospatial_data:
G += geospatial_data[key]
G.export_points_file(project.combined_elevation_file)
# Use for comparision in ARC
# DO WE NEED THIS?
try:
(stem, _) = project.combined_elevation_file.rsplit('.', 1)
except ValueError:
stem = project.combined_elevation_file
G.export_points_file(stem + '.txt')
for i in np.arange(0, 9):
Parameters[i] = str(Parameter_names[i]) + " " + str(Parameter_vals[i])
#Save Parameter List as Metadata
with open(identifier + '_par.txt', 'w') as f:
for item in Parameters:
f.write(str(item) + "\n")
#Save Parameter List as Pkl
fname = identifier + '_par.pkl'
pickle_out = open(fname, "wb")
pickle.dump(Parameters, pickle_out)
# Import Channel topography DEM
# Create DEM from asc data
anuga.asc2dem(topo_in + '.asc', use_cache=False, verbose=True)
# Create DEM from asc data
anuga.dem2pts(topo_in + '.dem', use_cache=False, verbose=True)
# Define boundaries for mesh
# Read in coordinate file
bounding_polygon = anuga.read_polygon(bound_in + '.csv')
# Create mesh with bounding polygon
domain = anuga.create_domain_from_regions(bounding_polygon,
boundary_tags={
'inlet': [inlet_btag],
'exterior': [ref_btag],
'outlet': [outlet_btag]
},
maximum_triangle_area=res,
time00 = time.time()
#------------------------------------------------------------------------------
# Preparation of topographic data
# Convert GEOTIFF to NC to ASC 2 DEM 2 PTS using source data and store result in source data
#------------------------------------------------------------------------------
# Create nc from geotif data
VHIRL_conversions.geotif2nc(dataset, '/tmp/'+name_stem)
# Create ASC from nc data
VHIRL_conversions.nc2asc('/tmp/'+name_stem, name_stem)
# Create DEM from asc data
anuga.asc2dem(name_stem+'.asc', use_cache=v_cache, verbose=v_verbose)
# Create pts file for onshore DEM
anuga.dem2pts(name_stem+'.dem', use_cache=v_cache, verbose=v_verbose)
#------------------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#------------------------------------------------------------------------------
domain = anuga.create_domain_from_regions(bounding_polygon,
boundary_tags={'land_sse': [0],
'land_s': [1],
'bottom': [2],
'ocean_wsw': [3],
'ocean_w': [4],
#------------------------------------------------------------------------------
# Do the domain creation on processor 0
#------------------------------------------------------------------------------
if myid == 0:
#------------------------------------------------------------------------------
# Preparation of topographic data
# Convert ASC 2 DEM 2 PTS using source data and store result in source data
#------------------------------------------------------------------------------
# Unzip asc from zip file
import zipfile as zf
if project.verbose: print 'Reading ASC from cairns.zip'
zf.ZipFile(project.name_stem+'.zip').extract(project.name_stem+'.asc')
# Create DEM from asc data
anuga.asc2dem(project.name_stem+'.asc', use_cache=project.cache,
verbose=project.verbose)
# Create pts file for onshore DEM
anuga.dem2pts(project.name_stem+'.dem', use_cache=project.cache,
verbose=project.verbose)
#------------------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#------------------------------------------------------------------------------
domain = anuga.create_domain_from_regions(project.bounding_polygon,
boundary_tags={'top': [0],
'ocean_east': [1],
'bottom': [2],
'onshore': [3]},
# Data for Tides
#------------------------------------------------------------------------------
v_tide = ${tide}
####### Do not change anything below this line #######
######################################################
jobstart = time.time()
# Create ASC from nc data
VHIRL_conversions.nc2asc(dataset, name_stem, zone=zone)
# Create DEM from asc data
anuga.asc2dem(name_stem+'.asc', use_cache=v_cache, verbose=v_verbose)
# Create pts file for onshore DEM
anuga.dem2pts(name_stem+'.dem', use_cache=v_cache, verbose=v_verbose)
#------------------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#------------------------------------------------------------------------------
domain = anuga.create_domain_from_regions(busselton_extent,
boundary_tags={'land_sse': [0],
'land_s': [1],
'bottom': [2],
'ocean_wsw': [3],
'ocean_w': [4],
# coding: utf-8
import os
import time
import sys
import anuga
from anuga import distribute, myid, numprocs, finalize
#------------------------------------------------------------------------------
# Do the domain creation on processor 0
#------------------------------------------------------------------------------
if myid == 0:
# Create DEM from asc data
anuga.asc2dem('11_fbe_c.asc', use_cache=False, verbose=True)
# Create DEM from asc data
anuga.dem2pts('11_fbe_c.dem', use_cache=False, verbose=True)
bounding_polygon = anuga.read_polygon('channel.csv')
domain = anuga.create_domain_from_regions(bounding_polygon,
boundary_tags={'exterior': [1]},
maximum_triangle_area=1,
mesh_filename='11f.msh',
use_cache=False,
verbose=True)
#Name domain
domain.set_name('11_fbe_c')
domain.set_datadir('.')
def generate_cairns_domain(gpu=False):
#-----------------------------------------------------------------------
# Preparation of topographic data
# Convert ASC 2 DEM 2 PTS using source data
# and store result in source data
#-----------------------------------------------------------------------
# Create DEM from asc data
anuga.asc2dem(project.name_stem+'.asc', use_cache=True, verbose=True)
# Create pts file for onshore DEM
anuga.dem2pts(project.name_stem+'.dem', use_cache=True, verbose=True)
#-----------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#-----------------------------------------------------------------------
domain = anuga.create_domain_from_regions(project.bounding_polygon,
boundary_tags={'top': [0],
'ocean_east': [1],
'bottom': [2],
'onshore': [3]},
maximum_triangle_area=project.default_res,
mesh_filename=project.meshname,
interior_regions=project.interior_regions,
use_cache=True,
verbose=True)
if gpu :
#domain.__class__ = GPU_domain
domain = GPU_domain(domain=domain)
# Print some stats about mesh and domain
print 'Number of triangles = ', len(domain)
#print 'The extent is ', domain.get_extent()
#print domain.statistics()
#-----------------------------------------------------------------------
# Setup parameters of computational domain
#-----------------------------------------------------------------------
domain.set_name('cairns_' + project.scenario) # Name of sww file
domain.set_datadir('.') # Store sww output here
domain.set_minimum_storable_height(0.01) # Store only depth > 1cm
domain.set_flow_algorithm('tsunami')
#-----------------------------------------------------------------------
# Setup initial conditions
#-----------------------------------------------------------------------
tide = 0.0
domain.set_quantity('stage', tide)
domain.set_quantity('friction', 0.0)
domain.set_quantity('elevation',
filename=project.name_stem + '.pts',
use_cache=True,
verbose=True,
alpha=0.1)
#-----------------------------------------------------------------------
# Setup information for slide scenario
# (to be applied 1 min into simulation
#-----------------------------------------------------------------------
if project.scenario == 'slide':
# Function for submarine slide
tsunami_source = anuga.slide_tsunami(length=35000.0,
depth=project.slide_depth,
slope=6.0,
thickness=500.0,
x0=project.slide_origin[0],
y0=project.slide_origin[1],
alpha=0.0,
domain=domain,
verbose=True)
#-----------------------------------------------------------------------
# Setup boundary conditions
#-----------------------------------------------------------------------
print 'Available boundary tags', domain.get_boundary_tags()
Bd = anuga.Dirichlet_boundary([tide, 0, 0]) # Mean water level
Bs = anuga.Transmissive_stage_zero_momentum_boundary(domain)
# Neutral boundary
if project.scenario == 'fixed_wave':
# Huge 50m wave starting after 60 seconds and lasting 1 hour.
Bw=anuga.Transmissive_n_momentum_zero_t_momentum_set_stage_boundary(
domain=domain,
function=lambda t: [(60<t<3660)*50, 0, 0])
domain.set_boundary({'ocean_east': Bw,
'bottom': Bs,
'onshore': Bd,
'top': Bs})
if project.scenario == 'slide':
# Boundary conditions for slide scenario
domain.set_boundary({'ocean_east': Bd,
'bottom': Bd,
'onshore': Bd,
'top': Bd})
if gpu:
if '-gpu' in sys.argv:
domain.using_gpu = True
print " --> Enable GPU version"
return domain
xvec = range(ncols)
for i in range(nrows):
srow = ' '.join([ str(x) for x in elev[i, :] ])
fid.write(srow)
fid.write('\n')
fid.close()
metafilename = 'okada.prj'
fid = open(metafilename, 'w')
fid.write("""Projection UTM
Zone 54
Datum WGS84
Zunits NO
Units METERS
Spheroid WGS84
Xshift 0.0000000000
Yshift 10000000.0000000000
Parameters
""")
fid.close()
import anuga
anuga.asc2dem(filename)
anuga.dem2pts(filename)
#from anuga.culvert_flows.culvert_class import Culvert_flow
#from anuga.culvert_flows.culvert_routines import boyd_generalised_culvert_model
# Application specific imports
#from floodpoint import *
#from polygons import *
#from breaklines import *
#from culverts import *
#------------------------------------------------------------------------------
# Preparation of topographic data
# Convert ASC 2 DEM 2 PTS using source data and store result in source data
#------------------------------------------------------------------------------
# Create DEM from asc data
anuga.asc2dem(project_minecraft.tmppath + 'mc_heightv2_utm.asc',
use_cache=False,
verbose=verbose)
# Create pts file for onshore DEM
anuga.dem2pts(project_minecraft.tmppath + 'mc_heightv2_utm.dem',
use_cache=False,
verbose=verbose)
#------------------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#------------------------------------------------------------------------------
bounding_polygon = anuga.read_polygon(project_minecraft.configpath +
'extent_minecraft.csv')
meshname = project_minecraft.tmppath + 'output_minecraft.msh'
Import operator-specific version of domain function
"""
from anuga.operators.sed_transport.sed_transport_utils import create_domain_from_regions_sed
"""
Import file conversion and quantity setting functions for vegetation file
"""
from anuga.operators.sed_transport.file_conversion.generic_asc2dem import generic_asc2dem
from anuga.operators.sed_transport.file_conversion.generic_dem2pts import generic_dem2pts
from anuga.operators.sed_transport.sed_transport_utils import set_quantity_NNeigh
#===============================================================================
# Setup Functions
#===============================================================================
# Convert an elevation raster into a point file
anuga.asc2dem('topo.asc', use_cache=False, verbose=True)
anuga.dem2pts('topo.dem', use_cache=False, verbose=True)
"""
Include the process-specific quantities when creating the domain
"""
evolved_quantities = ['stage', 'xmomentum', 'ymomentum', 'concentration']
other_quantities=['elevation', 'friction', 'height', 'xvelocity', \
'yvelocity', 'x', 'y', 'vegetation', 'diffusivity']
# import bounding polygon text file, set boundary tags
bounding_polygon = anuga.read_polygon('outline.csv')
boundary_tags = {
'bottom': [0],
'side1': [1],
'side2': [2],
#------------------------------------------------------------------------------
print 'project.bounding_polygon', project.bounding_polygon
print 'project.combined_elevation_basename', project.combined_elevation_basename
# Create Geospatial data from ASCII files
geospatial_data = {}
if not project.ascii_grid_filenames == []:
for filename in project.ascii_grid_filenames:
absolute_filename = join(project.topographies_folder, filename)
# convert_dem_from_ascii2netcdf(absolute_filename,
# basename_out=absolute_filename,
# use_cache=True,
# verbose=True)
# dem2pts(absolute_filename, use_cache=True, verbose=True)
anuga.asc2dem(absolute_filename + '.asc',
use_cache=False,
verbose=True)
anuga.dem2pts(absolute_filename + '.dem',
use_cache=False,
verbose=True)
G_grid = anuga.geospatial_data.Geospatial_data(
file_name=absolute_filename + '.pts', verbose=True)
print 'Clip geospatial object'
geospatial_data[filename] = G_grid.clip(project.bounding_polygon)
# Create Geospatial data from TXT files
if not project.point_filenames == []:
for i in range(0, len(project.point_filenames)):
filename = project.point_filenames[i]
# for filename in project.point_filenames:
nx=len(mat['xh'][0,4][0])
ny=len(mat['yh'][0,4][0])
f=open('talcahuano4.asc','w')
f.write('ncols\t%i\n'%(nx))
f.write('nrows\t%i\n'%(ny))
f.write('xllcorner\t%.2f\n'%(x.min()))
f.write('yllcorner\t%.2f\n'%(y.min()))
f.write('cellsize\t%.2f\n'%(54.))
f.write('NODATA_value\t-9999\n')
for j in range(ny):
s=''
for i in range(nx):
s+='%.7f '%z[ny-j-1,i]
f.write('%s\n'%s)
f.close()
anuga.asc2dem('talcahuano4.asc', use_cache=True, verbose=True)
anuga.dem2pts('talcahuano4.dem')
#ahora quiero sacar la triangulacion e interpolacion
domain = anuga.Domain('talcahuano4.msh', use_cache=False, verbose=True)
domain.set_quantity('elevation', filename='talcahuano4.pts')
t=domain.get_triangles()
xy=domain.get_nodes()
xt,yt,zt,t=domain.get_quantity('elevation').get_vertex_values()
plt.figure()
plt.pcolormesh(x-b[:,0].min(),y-b[:,1].min(),z,cmap=cm.gray)
plt.tripcolor(xt,yt,t,zt,cmap=cm.gist_earth)
plt.contour(x-b[:,0].min(),y-b[:,1].min(),z,[0.],colors='w')
plt.axis('equal')
def generate_cairns_domain(gpu=False):
#-----------------------------------------------------------------------
# Preparation of topographic data
# Convert ASC 2 DEM 2 PTS using source data
# and store result in source data
#-----------------------------------------------------------------------
# Create DEM from asc data
anuga.asc2dem(project.name_stem + '.asc', use_cache=True, verbose=True)
# Create pts file for onshore DEM
anuga.dem2pts(project.name_stem + '.dem', use_cache=True, verbose=True)
#-----------------------------------------------------------------------
# Create the triangular mesh and domain based on
# overall clipping polygon with a tagged
# boundary and interior regions as defined in project.py
#-----------------------------------------------------------------------
domain = anuga.create_domain_from_regions(
project.bounding_polygon,
boundary_tags={
'top': [0],
'ocean_east': [1],
'bottom': [2],
'onshore': [3]
},
maximum_triangle_area=project.default_res,
mesh_filename=project.meshname,
interior_regions=project.interior_regions,
use_cache=True,
verbose=True)
if gpu:
#domain.__class__ = GPU_domain
domain = GPU_domain(domain=domain)
# Print some stats about mesh and domain
print 'Number of triangles = ', len(domain)
#print 'The extent is ', domain.get_extent()
#print domain.statistics()
#-----------------------------------------------------------------------
# Setup parameters of computational domain
#-----------------------------------------------------------------------
domain.set_name('cairns_' + project.scenario) # Name of sww file
domain.set_datadir('.') # Store sww output here
domain.set_minimum_storable_height(0.01) # Store only depth > 1cm
domain.set_flow_algorithm('tsunami')
#-----------------------------------------------------------------------
# Setup initial conditions
#-----------------------------------------------------------------------
tide = 0.0
domain.set_quantity('stage', tide)
domain.set_quantity('friction', 0.0)
domain.set_quantity('elevation',
filename=project.name_stem + '.pts',
use_cache=True,
verbose=True,
alpha=0.1)
#-----------------------------------------------------------------------
# Setup information for slide scenario
# (to be applied 1 min into simulation
#-----------------------------------------------------------------------
if project.scenario == 'slide':
# Function for submarine slide
tsunami_source = anuga.slide_tsunami(length=35000.0,
depth=project.slide_depth,
slope=6.0,
thickness=500.0,
x0=project.slide_origin[0],
y0=project.slide_origin[1],
alpha=0.0,
domain=domain,
verbose=True)
#-----------------------------------------------------------------------
# Setup boundary conditions
#-----------------------------------------------------------------------
print 'Available boundary tags', domain.get_boundary_tags()
Bd = anuga.Dirichlet_boundary([tide, 0, 0]) # Mean water level
Bs = anuga.Transmissive_stage_zero_momentum_boundary(domain)
# Neutral boundary
if project.scenario == 'fixed_wave':
# Huge 50m wave starting after 60 seconds and lasting 1 hour.
Bw = anuga.Transmissive_n_momentum_zero_t_momentum_set_stage_boundary(
domain=domain, function=lambda t: [(60 < t < 3660) * 50, 0, 0])
domain.set_boundary({
'ocean_east': Bw,
'bottom': Bs,
'onshore': Bd,
'top': Bs
})
if project.scenario == 'slide':
# Boundary conditions for slide scenario
domain.set_boundary({
'ocean_east': Bd,
'bottom': Bd,
'onshore': Bd,
'top': Bd
})
if gpu:
if '-gpu' in sys.argv:
domain.using_gpu = True
print " --> Enable GPU version"
return domain
#------------------------------------------------------------------------------
# Preparation of topographic data
# Convert ASC 2 DEM 2 PTS using source data and store result in source data
#------------------------------------------------------------------------------
# unzip .asc file from zip file
import zipfile as zf
path_to_data_dir = 'C:/anuga/thesis/pwrj_initcond/'
if project.verbose: print 'Reading ASC from pwrjdem.zip'
zf.ZipFile(path_to_data_dir + project.name_stem +
'.zip').extract(project.name_stem + '.asc')
zf.ZipFile(path_to_data_dir + project.name_stem +
'.zip').extract(project.name_stem + '.prj')
# building DEM from ASC data
anuga.asc2dem(project.name_stem + '.asc',
use_cache=project.cache,
verbose=project.verbose)
# create PTS file from onshore DEM
anuga.dem2pts(project.name_stem + '.dem',
use_cache=project.cache,
verbose=project.verbose)
#------------------------------------------------------------------------------
# Create the triangular mesh and domain based on overall clipping
# polygons with a tagged boundary and interior regions as defined
# in project.py
#------------------------------------------------------------------------------
domain = anuga.create_domain_from_regions(
project.bounding_polygon,
boundary_tags={
import project
import anuga
# Application specific imports
#from floodpoint import *
#from polygons import *
#from breaklines import *
#from culverts import *
#------------------------------------------------------------------------------
# Preparation of topographic data
# Convert ASC 2 DEM 2 PTS using source data and store result in source data
#------------------------------------------------------------------------------
# Create DEM from asc data
anuga.asc2dem(project.tmppath + 'dtm_utm.mean.asc',
use_cache=False,
verbose=verbose)
# Create pts file for onshore DEM
anuga.dem2pts(project.tmppath + 'dtm_utm.mean.dem',
use_cache=False,
verbose=verbose)
bounding_polygon = anuga.read_polygon(project.configpath + 'extent.csv')
#------------------------------------------------------------------------------
# Prepare breaklines
#
#------------------------------------------------------------------------------
conn_params = "host=titania dbname=research user=geodan"
conn = psycopg2.connect(conn_params)
cur = conn.cursor()
"""
Import file conversion and quantity setting functions for vegetation file
"""
from anuga.operators.sed_transport.file_conversion.generic_asc2dem import generic_asc2dem
from anuga.operators.sed_transport.file_conversion.generic_dem2pts import generic_dem2pts
from anuga.operators.sed_transport.sed_transport_utils import set_quantity_NNeigh
#===============================================================================
# Setup Functions
#===============================================================================
# Convert an elevation raster into a point file
anuga.asc2dem('topo.asc', use_cache = False, verbose = True)
anuga.dem2pts('topo.dem', use_cache = False, verbose = True)
"""
Include the process-specific quantities when creating the domain
"""
evolved_quantities = ['stage', 'xmomentum', 'ymomentum', 'concentration']
other_quantities=['elevation', 'friction', 'height', 'xvelocity', \
'yvelocity', 'x', 'y', 'vegetation', 'diffusivity']
# import bounding polygon text file, set boundary tags
bounding_polygon = anuga.read_polygon('outline.csv')
boundary_tags = {'bottom':[0],
# In[1]:
import os
import time
import sys
import anuga
from math import sin, pi, exp
# In[2]:
# Create DEM from asc data
anuga.asc2dem('C://Users//ps29626//Desktop//NewAnugaRun//11_fbe_c.asc',
use_cache=False,
verbose=True)
# Create DEM from asc data
anuga.dem2pts('11_fbe_c.dem', use_cache=False, verbose=True)
# Create roughness raster from asc data
#anuga.asc2dem('11_man_c.asc', use_cache=False, verbose=True)
# Create roughness raster from asc data
#anuga.dem2pts('11_man_c.dem', use_cache=False,
# verbose=True)
# In[3]:
bounding_polygon = anuga.read_polygon('extent.csv')
