def make_model(images_dir=os.path.join(base_dir, 'images')): print('get contiguous') kml_file = os.path.join(base_dir, 'contigua.kml') with open(kml_file) as f: contiguous = parser.parse(f).getroot().Document coordinates = contiguous.Placemark.LineString.coordinates.text.split(' ') cont_coord = [] for x in coordinates: x = x.split(',') if len(x) > 1 and float(x[1]) > -12 and float(x[1]) < -3: cont_coord.append([float(x[0]), float(x[1])]) print('initializing the model') start_time = datetime(2022, 1, 22, 12, 0) mapfile = get_datafile(os.path.join(base_dir, './brazil-coast.BNA')) gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours duration = timedelta(days=1) timestep = timedelta(minutes=5) end_time = start_time + duration steps = duration.total_seconds() / timestep.total_seconds() print("Total step: %.4i " % (steps)) # one hour timestep model = Model(start_time=start_time, duration=duration, time_step=timestep, map=gnome_map, uncertain=False, cache_enabled=False) oil_name = 'GENERIC MEDIUM CRUDE' wd = UniformDistribution(low=.0002, high=.0002) subs = GnomeOil(oil_name, initializers=plume_initializers(distribution=wd)) #model.spills += point_line_release_spill(release_time=start_time, start_position=(-35.153, -8.999, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg') #model.spills += point_line_release_spill(release_time=start_time, start_position=(-35.176, -9.135, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg') #model.spills += point_line_release_spill(release_time=start_time, start_position=(-35.062, -9.112, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg') #model.spills += point_line_release_spill(release_time=start_time, start_position=(-34.994, -9.248, 0.0), num_elements=1000, end_release_time=end_time, substance= subs, units='kg') for idx in range(0, len(cont_coord)): model.spills += point_line_release_spill( num_elements=500, start_position=(cont_coord[idx][0], cont_coord[idx][1], 0.0), release_time=start_time, end_release_time=start_time + timedelta(days=1), amount=500, substance=subs, units='kg') #shp_file = os.path.join(base_dir, 'surface_concentration') #scripting.remove_netcdf(shp_file + ".zip") #model.outputters += ShapeOutput(shp_file, # zip_output=False, # surface_conc="kde", # ) print('adding movers:') print('adding a RandomMover:') model.movers += RandomMover(diffusion_coef=10000) print('adding a current mover:') # # this is HYCOM currents curr_file = get_datafile(os.path.join(base_dir, 'currents.nc')) model.movers += GridCurrentMover(curr_file, num_method='Euler') print('adding a grid wind mover:') wind_file = get_datafile(os.path.join(base_dir, 'wind.nc')) #topology_file = get_datafile(os.path.join(base_dir, 'WindSpeedDirSubsetTop.dat')) #w_mover = GridWindMover(wind_file, topology_file) w_mover = GridWindMover(wind_file) w_mover.uncertain_speed_scale = 1 w_mover.uncertain_angle_scale = 0.2 # default is .4 w_mover.wind_scale = 2 model.movers += w_mover print('adding outputters') renderer = Renderer(mapfile, images_dir, image_size=(900, 600), output_timestep=timestep, draw_ontop='forecast') #set the viewport to zoom in on the map: #renderer.viewport = ((-37, -11), (-34, -8)) #alagoas renderer.viewport = ((-36, -10), (-30, 5)) model.outputters += renderer netcdf_file = os.path.join(base_dir, 'contigua.nc') scripting.remove_netcdf(netcdf_file) model.outputters += NetCDFOutput(netcdf_file, which_data='standard', surface_conc='kde') return model
def make_model(): print 'initializing the model' start_time = datetime(2004, 12, 31, 13, 0) model = Model(start_time=start_time, duration=timedelta(days=3), time_step=30 * 60, uncertain=False) print 'adding the map' model.map = GnomeMap() renderer = Renderer(output_dir=images_dir, image_size=(800, 600), output_timestep=timedelta(hours=1), draw_ontop='uncertain') renderer.viewport = ((-76.5, 37.), (-75.8, 38.)) print 'adding outputters' model.outputters += renderer netcdf_file = os.path.join(base_dir, 'script_plume.nc') scripting.remove_netcdf(netcdf_file) model.outputters += NetCDFOutput(netcdf_file, which_data='most', output_timestep=timedelta(hours=2)) print 'adding two spills' # Break the spill into two spills, first with the larger droplets # and second with the smaller droplets. # Split the total spill volume (100 m^3) to have most # in the larger droplet spill. # Smaller droplets start at a lower depth than larger wd = WeibullDistribution(alpha=1.8, lambda_=.00456, min_=.0002) # 200 micron min end_time = start_time + timedelta(hours=24) # at this point only one non-weathering substance is allowed; this should change in the future substance=NonWeatheringSubstance(standard_density=900, initializers=plume_initializers(distribution=wd)) spill = subsurface_plume_spill(num_elements=50, start_position=(-76.126872, 37.680952, 1700.0), release_time=start_time, distribution=wd, amount=90, # default volume_units=m^3 units='m^3', end_release_time=end_time, # substance='oil_crude', #substance=NonWeatheringSubstance(standard_density=900), substance=substance, #density=900, ) model.spills += spill wd = WeibullDistribution(alpha=1.8, lambda_=.00456, max_=.0002) # 200 micron max spill = point_line_release_spill(num_elements=50, units='m^3', start_position=(-76.126872, 37.680952, 1800.0), release_time=start_time, amount=90, #element_type=plume(distribution=wd, # density=900.0) #substance = NonWeatheringSubstance(initializers=plume_initializers(distribution=wd)) substance=substance ) model.spills += spill print 'adding a RandomMover:' model.movers += RandomMover(diffusion_coef=50000) print 'adding a RiseVelocityMover:' model.movers += RiseVelocityMover() print 'adding a RandomMover3D:' model.movers += RandomMover3D(vertical_diffusion_coef_above_ml=5, vertical_diffusion_coef_below_ml=.11, mixed_layer_depth=10) # print 'adding a wind mover:' # series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d) # series[0] = (start_time, (30, 90)) # series[1] = (start_time + timedelta(hours=23), (30, 90)) # wind = Wind(timeseries=series, units='knot') # # default is .4 radians # w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0) # # model.movers += w_mover print 'adding a simple mover:' s_mover = SimpleMover(velocity=(0.0, -.3, 0.0)) model.movers += s_mover return model
def make_model(images_dir=os.path.join(base_dir, 'images')): print 'initializing the model' start_time = datetime(2012, 10, 25, 0, 1) # start_time = datetime(2015, 12, 18, 06, 01) # 1 day of data in file # 1/2 hr in seconds model = Model(start_time=start_time, duration=timedelta(hours=2), time_step=900) mapfile = get_datafile(os.path.join(base_dir, 'nyharbor.bna')) print 'adding the map' '''TODO: sort out MapFromBna's map_bounds parameter... it does nothing right now, and the spill is out of bounds''' model.map = MapFromBNA(mapfile, refloat_halflife=0.0) # seconds # draw_ontop can be 'uncertain' or 'forecast' # 'forecast' LEs are in black, and 'uncertain' are in red # default is 'forecast' LEs draw on top renderer = Renderer(mapfile, images_dir, image_size=(1024, 768)) # renderer.viewport = ((-73.5, 40.5), (-73.1, 40.75)) # renderer.viewport = ((-122.9, 45.6), (-122.6, 46.0)) print 'adding outputters' model.outputters += renderer netcdf_file = os.path.join(base_dir, 'script_ny_plume.nc') scripting.remove_netcdf(netcdf_file) model.outputters += NetCDFOutput(netcdf_file, which_data='all') print 'adding two spills' # Break the spill into two spills, first with the larger droplets # and second with the smaller droplets. # Split the total spill volume (100 m^3) to have most # in the larger droplet spill. # Smaller droplets start at a lower depth than larger end_time = start_time + model.duration # wd = WeibullDistribution(alpha=1.8, # lambda_=.00456, # min_=.0002) # 200 micron min # # spill = subsurface_plume_spill(num_elements=10, # start_position=(-74.15, # 40.5, # 7.2), # release_time=start_time, # distribution=wd, # amount=90, # default volume_units=m^3 # units='m^3', # end_release_time=end_time, # density=600) # # model.spills += spill # wd = WeibullDistribution(alpha=1.8, # lambda_=.00456, # max_=.0002) # 200 micron max oil_name = 'ALASKA NORTH SLOPE (MIDDLE PIPELINE, 1997)' wd = UniformDistribution(low=.0002, high=.0002) spill = point_line_release_spill(num_elements=10, amount=90, units='m^3', start_position=(-74.15, 40.5, 7.2), release_time=start_time, substance = GnomeOil(oil_name,initializers=plume_initializers(distribution=wd)) #element_type=plume(distribution=wd, #substance_name='ALASKA NORTH SLOPE (MIDDLE PIPELINE, 1997)') ) model.spills += spill print 'adding a RandomMover:' model.movers += RandomMover(diffusion_coef=50000) print 'adding a RiseVelocityMover:' model.movers += RiseVelocityMover() print 'adding a RandomMover3D:' # model.movers += RandomMover3D(vertical_diffusion_coef_above_ml=5, # vertical_diffusion_coef_below_ml=.11, # mixed_layer_depth=10) # the url is broken, update and include the following four lines # url = ('http://geoport.whoi.edu/thredds/dodsC/clay/usgs/users/jcwarner/Projects/Sandy/triple_nest/00_dir_NYB05.ncml') # gc = GridCurrent.from_netCDF(url) # u_mover = PyCurrentMover(gc, default_num_method='RK2') # model.movers += u_mover # print 'adding a wind mover:' # series = np.zeros((2, ), dtype=gnome.basic_types.datetime_value_2d) # series[0] = (start_time, (30, 90)) # series[1] = (start_time + timedelta(hours=23), (30, 90)) # wind = Wind(timeseries=series, units='knot') # # default is .4 radians # w_mover = gnome.movers.WindMover(wind, uncertain_angle_scale=0) # # model.movers += w_mover print 'adding a simple mover:' # s_mover = SimpleMover(velocity=(0.0, -.3, 0.0)) # model.movers += s_mover return model
def make_model(images_dir=os.path.join(base_dir, 'images2')): print('initializing the model') start_time = datetime(int(sys.argv[1]), int(sys.argv[2]), int(sys.argv[3]), int(sys.argv[4]), int(sys.argv[5])) mapfile = get_datafile(os.path.join(base_dir, './brazil-coast.bna')) gnome_map = MapFromBNA(mapfile, refloat_halflife=6) # hours # # the image output renderer # global renderer #duration = timedelta(minutes=5) #timestep = timedelta(minutes=5) duration = timedelta(minutes=5) timestep = timedelta(minutes=5) endtime = start_time + duration steps = duration.total_seconds() / timestep.total_seconds() print("Total step: %.4i " % (steps)) model = Model(start_time=start_time, duration=duration, time_step=timestep, map=gnome_map, uncertain=False, cache_enabled=False) oil_name = 'GENERIC MEDIUM CRUDE' wd = UniformDistribution(low=.0002, high=.0002) subs = GnomeOil(oil_name, initializers=plume_initializers(distribution=wd)) #print 'adding a spill' #spill = point_line_release_spill(num_elements=122, # start_position=(-35.14, # -9.40, 0.0), # release_time=start_time) #model.spills += spill #spill2 = spatial_release_spill(-35.14,-9.40, 0.0, start_time) #model.spills += spill2 #print 'load nc' #netcdf_file = os.path.join(base_dir, 'maceio.nc') #relnc = InitElemsFromFile(netcdf_file,release_time=start_time) #relnc = InitElemsFromFile(netcdf_file,index=5) #spillnc = Spill(release=relnc) #print spillnc.release.num_elements #print spillnc.release.name #print spillnc.substance #print relnc._init_data['age'] #print relnc.release_time #model.spills += spillnc #model._load_spill_data() #for sc in model.spills.items(): # sc.prepare_for_model_run() #print(relnc.num_elements) #print(relnc.num_released) # add particles - it works print('adding particles') # Persistent oil spill in contiguous zone border if int(sys.argv[6]) == 1: release = release_from_splot_data(start_time, 'contiguous.txt') print("Adding new particles") model.spills += Spill(release=release, substance=subs) # Particles from previows simulation step try: f = open('step.txt') f.close() release2 = release_from_splot_data(start_time, 'step.txt') model.spills += Spill(release=release2, substance=subs) except IOError: print('No previous step, using only contiguous.txt') #assert rel.num_elements == exp_num_elems #assert len(rel.start_position) == exp_num_elems #cumsum = np.cumsum(exp) #for ix in xrange(len(cumsum) - 1): # assert np.all(rel.start_position[cumsum[ix]] == # rel.start_position[cumsum[ix]:cumsum[ix + 1]]) #assert np.all(rel.start_position[0] == rel.start_position[:cumsum[0]]) #spnc = Spill(release=None) #spnc.release = relnc print('adding a RandomMover:') #model.movers += RandomMover(diffusion_coef=10000, uncertain_factor=2) model.movers += RandomMover(diffusion_coef=10000) print('adding a current mover:') # # this is HYCOM currents curr_file = get_datafile(os.path.join(base_dir, 'corrente15a28de09.nc')) model.movers += GridCurrentMover(curr_file, num_method='Euler') print('adding a grid wind mover:') wind_file = get_datafile(os.path.join(base_dir, 'vento15a28de09.nc')) #topology_file = get_datafile(os.path.join(base_dir, 'WindSpeedDirSubsetTop.dat')) #w_mover = GridWindMover(wind_file, topology_file) w_mover = GridWindMover(wind_file) w_mover.uncertain_speed_scale = 1 w_mover.uncertain_angle_scale = 0.2 # default is .4 w_mover.wind_scale = 2 model.movers += w_mover print('adding outputters') renderer = Renderer(mapfile, images_dir, image_size=(900, 600), output_timestep=timestep, draw_ontop='forecast') #set the viewport to zoom in on the map: #renderer.viewport = ((-37, -11), (-34, -8)) #alagoas renderer.viewport = ((-55, -34), (-30, 5)) #1/4 N alagoas model.outputters += renderer netcdf_file = os.path.join(base_dir, 'step.nc') scripting.remove_netcdf(netcdf_file) model.outputters += NetCDFOutput(netcdf_file, which_data='standard', surface_conc='kde') return model