Ejemplo n.º 1
0
def simple_model(output_dir):
    start_time = "2018-09-20T12:00"
    model = gs.Model(
        start_time=start_time,
        duration=gs.days(1),
        time_step=gs.minutes(30),
        name="test model for tideflats",
    )
    model.map = MapFromBNA(bna_file)
    model.movers += gs.constant_wind_mover(10, 300, "m/s")

    model.spills += gs.surface_point_line_spill(
        num_elements=100,
        start_position=(5.4, 53.38, 0),
        end_position=(5.8, 53.4, 0),
        release_time=start_time,
    )
    model.outputters += gs.Renderer(
        output_timestep=gs.hours(1),
        map_filename=bna_file,
        output_dir=output_dir,
        formats=['gif'],  # ['gif', 'png']
        image_size=(800, 400),
        # viewport=((4.5, 53.0),
        #           (5.5, 53.5)),
    )

    return model
Ejemplo n.º 2
0
def simple_model(output_dir):
    start_time = "2018-09-20T12:00"
    model = gs.Model(start_time=start_time,
                     duration=gs.days(1),
                     time_step=gs.minutes(30),
                     name="test model for tideflats",
                     )
    model.map = MapFromBNA(bna_file)
    model.movers += gs.constant_wind_mover(10, 300, "m/s")

    model.spills += gs.surface_point_line_spill(num_elements=100,
                                                start_position=(5.4, 53.38, 0),
                                                end_position=(5.8, 53.4, 0),
                                                release_time=start_time,
                                                )
    model.outputters += gs.Renderer(output_timestep=gs.hours(1),
                                    map_filename=bna_file,
                                    output_dir=output_dir,
                                    formats=['gif'],  # ['gif', 'png']
                                    image_size=(800, 400),
                                    # viewport=((4.5, 53.0),
                                    #           (5.5, 53.5)),
                                    )


    return model
Ejemplo n.º 3
0
def make_model():

    print 'initializing the model'
    model = gs.Model(duration=gs.days(5))


    print 'adding outputters'
    budget_file = os.path.join(base_dir, 'GNOME_oil_budget.csv')
    model.outputters += gs.OilBudgetOutput(budget_file)

    print 'adding a spill'
    # We need a spill at the very least
    spill = gs.point_line_release_spill(num_elements=10,  # no need for a lot of elements for a instantaneous release
                                        start_position=(0.0, 0.0, 0.0),
                                        release_time=model.start_time,
                                        amount=1000,
                                        substance='ALASKA NORTH SLOPE (MIDDLE PIPELINE, 1997)',
                                        units='bbl')

    model.spills += spill

    print 'adding a RandomMover:'
    model.movers += gs.RandomMover()

    print 'adding a wind mover:'

    model.movers += gs.constant_wind_mover(speed=10, direction=0, units="m/s")


    model.environment += gs.Water(25, units={"temperature": "C"})

    waves = gs.Waves()
    model.environment += waves

    print 'adding the standard weatherers'
    model.add_weathering()

    return model
Ejemplo n.º 4
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = gs.get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
    gnome_map = gs.MapFromBNA(
        mapfile,
        refloat_halflife=1,  # hours
        raster_size=2048 * 2048  # about 4 MB
    )

    renderer = gs.Renderer(mapfile,
                           images_dir,
                           image_size=(800, 800),
                           projection_class=GeoProjection)

    print 'initializing the model'
    # start_time = datetime(2013, 3, 12, 10, 0)
    start_time = "2013-03-12T10:00"
    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = gs.Model(time_step=gs.minutes(15),
                     start_time=start_time,
                     duration=gs.days(1),
                     map=gnome_map,
                     uncertain=True)

    print 'adding outputters'
    model.outputters += renderer

    netcdf_file = os.path.join(base_dir, 'script_boston.nc')
    gs.remove_netcdf(netcdf_file)
    model.outputters += gs.NetCDFOutput(netcdf_file, which_data='all')

    model.outputters += gs.KMZOutput(
        os.path.join(base_dir, 'script_boston.kmz'))

    print 'adding a RandomMover:'
    model.movers += gs.RandomMover(diffusion_coef=100000)

    print 'adding a wind mover:'

    # series = np.zeros((2, ), dtype=datetime_value_2d)
    # series[0] = (start_time, (5, 180))
    # series[1] = (start_time + timedelta(hours=25), (5, 180))

    # w_mover = WindMover(Wind(timeseries=series, units='m/s'))
    # model.movers += w_mover
    # model.environment += w_mover.wind

    w_mover = gs.constant_wind_mover(5, 180, units='m/s')
    model.movers += w_mover
    print 'adding a cats shio mover:'

    curr_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTides.cur"))
    tide_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTidesShio.txt"))

    c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))
    # this is the value in the file (default)
    c_mover.scale_refpoint = (-70.8875, 42.321333)
    c_mover.scale = True
    c_mover.scale_value = -1

    model.movers += c_mover

    # TODO: cannot add this till environment base class is created
    # model.environment += c_mover.tide

    print 'adding a cats ossm mover:'

    # ossm_file = get_datafile(os.path.join(base_dir,
    #                          r"./MerrimackMassCoastOSSM.txt"))
    curr_file = gs.get_datafile(
        os.path.join(base_dir, "MerrimackMassCoast.cur"))
    tide_file = gs.get_datafile(
        os.path.join(base_dir, "MerrimackMassCoastOSSM.txt"))
    c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))

    # but do need to scale (based on river stage)
    c_mover.scale = True
    c_mover.scale_refpoint = (-70.65, 42.58333)
    c_mover.scale_value = 1.
    model.movers += c_mover
    model.environment += c_mover.tide

    print 'adding a cats mover:'
    curr_file = gs.get_datafile(os.path.join(base_dir, "MassBaySewage.cur"))
    c_mover = gs.CatsMover(curr_file)

    # but do need to scale (based on river stage)

    c_mover.scale = True
    c_mover.scale_refpoint = (-70.78333, 42.39333)

    # the scale factor is 0 if user inputs no sewage outfall effects
    c_mover.scale_value = .04

    model.movers += c_mover

    # pat1Angle 315;
    # pat1Speed 19.44; pat1SpeedUnits knots;
    # pat1ScaleToValue 0.138855
    #
    # pat2Angle 225;
    # pat2Speed 19.44; pat2SpeedUnits knots;
    # pat2ScaleToValue 0.05121
    #
    # scaleBy WindStress

    print "adding a component mover:"
    component_file1 = gs.get_datafile(os.path.join(base_dir, "WAC10msNW.cur"))
    component_file2 = gs.get_datafile(os.path.join(base_dir, "WAC10msSW.cur"))
    comp_mover = gs.ComponentMover(component_file1, component_file2,
                                   w_mover.wind)

    # todo: callback did not work correctly below - fix!
    # comp_mover = ComponentMover(component_file1,
    #                             component_file2,
    #                             Wind(timeseries=series, units='m/s'))

    comp_mover.scale_refpoint = (-70.855, 42.275)
    comp_mover.pat1_angle = 315
    comp_mover.pat1_speed = 19.44
    comp_mover.pat1_speed_units = 1
    comp_mover.pat1ScaleToValue = .138855
    comp_mover.pat2_angle = 225
    comp_mover.pat2_speed = 19.44
    comp_mover.pat2_speed_units = 1
    comp_mover.pat2ScaleToValue = .05121

    model.movers += comp_mover

    print 'adding a spill'

    end_time = gs.asdatetime(start_time) + gs.hours(12)
    spill = gs.point_line_release_spill(num_elements=100,
                                        start_position=(-70.911432, 42.369142,
                                                        0.0),
                                        release_time=start_time,
                                        end_release_time=end_time)

    model.spills += spill

    return model
Ejemplo n.º 5
0
                            grid_topology=topology)

mapfile = 'Waddensea_ijsselmeer_6.bna'
land_map = gs.MapFromBNA(mapfile)

model.map = TideflatMap(land_map, tideflat)

print 'Adding current'
model.movers += current_mover

print 'Adding RandomMover'
model.movers += gs.RandomMover(diffusion_coeff=50000)

print 'adding a wind mover:'

model.movers += gs.constant_wind_mover(**Wind)

print 'adding spill'
spill = gs.surface_point_line_spill(num_elements=100,
                                    start_position=SpillPosition,
                                    end_position=(SpillPosition[0],
                                                  SpillPosition[1] - 0.1, 0),
                                    release_time=asdatetime(start_time),
                                    amount=5000,
                                    units='kg',
                                    name='My spill')
model.spills += spill

model.outputters += gs.NetCDFOutput(os.path.join(out_dir, 'test_output.nc'),
                                    which_data='most',
                                    output_timestep=dT_OUT)
Ejemplo n.º 6
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = gs.get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
    gnome_map = gs.MapFromBNA(mapfile,
                              refloat_halflife=1,  # hours
                              raster_size=2048 * 2048  # about 4 MB
                              )

    renderer = gs.Renderer(mapfile,
                           images_dir,
                           image_size=(800, 800),
                           projection_class=GeoProjection)

    print 'initializing the model'
    # start_time = datetime(2013, 3, 12, 10, 0)
    start_time = "2013-03-12T10:00"
    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = gs.Model(time_step=gs.minute(15),
                     start_time=start_time,
                     duration=gs.days(1),
                     map=gnome_map,
                     uncertain=True)

    print 'adding outputters'
    model.outputters += renderer

    netcdf_file = os.path.join(base_dir, 'script_boston.nc')
    gs.remove_netcdf(netcdf_file)
    model.outputters += gs.NetCDFOutput(netcdf_file, which_data='all')

    model.outputters += gs.KMZOutput(os.path.join(base_dir, 'script_boston.kmz'))

    print 'adding a RandomMover:'
    model.movers += gs.RandomMover(diffusion_coef=100000)

    print 'adding a wind mover:'

    # series = np.zeros((2, ), dtype=datetime_value_2d)
    # series[0] = (start_time, (5, 180))
    # series[1] = (start_time + timedelta(hours=25), (5, 180))


    # w_mover = WindMover(Wind(timeseries=series, units='m/s'))
    # model.movers += w_mover
    # model.environment += w_mover.wind

    w_mover = gs.constant_wind_mover(5, 180, units='m/s')
    model.movers += w_mover
    print 'adding a cats shio mover:'

    curr_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTides.cur"))
    tide_file = gs.get_datafile(os.path.join(base_dir, r"./EbbTidesShio.txt"))

    c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))
    # this is the value in the file (default)
    c_mover.scale_refpoint = (-70.8875, 42.321333)
    c_mover.scale = True
    c_mover.scale_value = -1

    model.movers += c_mover

    # TODO: cannot add this till environment base class is created
    # model.environment += c_mover.tide

    print 'adding a cats ossm mover:'

    # ossm_file = get_datafile(os.path.join(base_dir,
    #                          r"./MerrimackMassCoastOSSM.txt"))
    curr_file = gs.get_datafile(os.path.join(base_dir,
                                "MerrimackMassCoast.cur"))
    tide_file = gs.get_datafile(os.path.join(base_dir,
                                "MerrimackMassCoastOSSM.txt"))
    c_mover = gs.CatsMover(curr_file, tide=gs.Tide(tide_file))

    # but do need to scale (based on river stage)
    c_mover.scale = True
    c_mover.scale_refpoint = (-70.65, 42.58333)
    c_mover.scale_value = 1.
    model.movers += c_mover
    model.environment += c_mover.tide

    print 'adding a cats mover:'
    curr_file = gs.get_datafile(os.path.join(base_dir, "MassBaySewage.cur"))
    c_mover = gs.CatsMover(curr_file)

    # but do need to scale (based on river stage)

    c_mover.scale = True
    c_mover.scale_refpoint = (-70.78333, 42.39333)

    # the scale factor is 0 if user inputs no sewage outfall effects
    c_mover.scale_value = .04

    model.movers += c_mover

    # pat1Angle 315;
    # pat1Speed 19.44; pat1SpeedUnits knots;
    # pat1ScaleToValue 0.138855
    #
    # pat2Angle 225;
    # pat2Speed 19.44; pat2SpeedUnits knots;
    # pat2ScaleToValue 0.05121
    #
    # scaleBy WindStress

    print "adding a component mover:"
    component_file1 = gs.get_datafile(os.path.join(base_dir, "WAC10msNW.cur"))
    component_file2 = gs.get_datafile(os.path.join(base_dir, "WAC10msSW.cur"))
    comp_mover = gs.ComponentMover(component_file1, component_file2, w_mover.wind)

    # todo: callback did not work correctly below - fix!
    # comp_mover = ComponentMover(component_file1,
    #                             component_file2,
    #                             Wind(timeseries=series, units='m/s'))

    comp_mover.scale_refpoint = (-70.855, 42.275)
    comp_mover.pat1_angle = 315
    comp_mover.pat1_speed = 19.44
    comp_mover.pat1_speed_units = 1
    comp_mover.pat1ScaleToValue = .138855
    comp_mover.pat2_angle = 225
    comp_mover.pat2_speed = 19.44
    comp_mover.pat2_speed_units = 1
    comp_mover.pat2ScaleToValue = .05121

    model.movers += comp_mover

    print 'adding a spill'

    end_time = gs.asdatetime(start_time) + hours(12)
    spill = point_line_release_spill(num_elements=100,
                                     start_position=(-70.911432,
                                                     42.369142, 0.0),
                                     release_time=start_time,
                                     end_release_time=end_time)

    model.spills += spill

    return model