示例#1
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, 'LowerMississippiMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=6)  # hours

    print 'initializing the model'
    start_time = datetime(2012, 9, 15, 12, 0)

    # default to now, rounded to the nearest hour
    model = Model(time_step=600,
                  start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map,
                  uncertain=True)

    print 'adding outputters'
    model.outputters += Renderer(mapfile, images_dir, image_size=(800, 600))

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

    print 'adding a RandomMover:'
    model.movers += RandomMover(diffusion_coef=10000)

    print 'adding a wind mover:'

    series = np.zeros((5, ), dtype=datetime_value_2d)
    series[0] = (start_time, (2, 45))
    series[1] = (start_time + timedelta(hours=18), (2, 90))
    series[2] = (start_time + timedelta(hours=30), (2, 135))
    series[3] = (start_time + timedelta(hours=42), (2, 180))
    series[4] = (start_time + timedelta(hours=54), (2, 225))

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

    print 'adding a cats mover:'
    curr_file = get_datafile(os.path.join(base_dir, 'LMiss.CUR'))
    c_mover = CatsMover(curr_file)

    # but do need to scale (based on river stage)
    c_mover.scale = True
    c_mover.scale_refpoint = (-89.699944, 29.494558)

    # based on stage height 10ft (range is 0-18)
    c_mover.scale_value = 1.027154

    model.movers += c_mover

    print 'adding a spill'
    spill = point_line_release_spill(num_elements=1000,
                                     start_position=(-89.699944, 29.494558,
                                                     0.0),
                                     release_time=start_time)
    model.spills += spill

    return model
def make_model(images_dir=os.path.join(base_dir, 'images')):

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, 'LowerMississippiMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=6)  # hours

    print 'initializing the model'
    start_time = datetime(2012, 9, 15, 12, 0)

    # default to now, rounded to the nearest hour
    model = Model(time_step=600, start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map, uncertain=True)

    print 'adding outputters'
    model.outputters += Renderer(mapfile, images_dir, size=(800, 600))

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

    print 'adding a RandomMover:'
    model.movers += RandomMover(diffusion_coef=10000)

    print 'adding a wind mover:'

    series = np.zeros((5, ), dtype=datetime_value_2d)
    series[0] = (start_time, (2, 45))
    series[1] = (start_time + timedelta(hours=18), (2, 90))
    series[2] = (start_time + timedelta(hours=30), (2, 135))
    series[3] = (start_time + timedelta(hours=42), (2, 180))
    series[4] = (start_time + timedelta(hours=54), (2, 225))

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

    print 'adding a cats mover:'
    curr_file = get_datafile(os.path.join(base_dir, 'LMiss.CUR'))
    c_mover = CatsMover(curr_file)

    # but do need to scale (based on river stage)
    c_mover.scale = True
    c_mover.scale_refpoint = (-89.699944, 29.494558)

    # based on stage height 10ft (range is 0-18)
    c_mover.scale_value = 1.027154

    model.movers += c_mover

    print 'adding a spill'
    spill = point_line_release_spill(num_elements=1000,
                                     start_position=(-89.699944, 29.494558,
                                                     0.0),
                                     release_time=start_time)
    model.spills += spill

    return model
示例#3
0
def make_model(uncertain=False, mode='gnome'):
    '''
    Create a model from the data in sample_data/boston_data
    It contains:
      - the GeoProjection
      - wind mover
      - random mover
      - cats shio mover
      - cats ossm mover
      - plain cats mover
    '''
    start_time = datetime(2013, 2, 13, 9, 0)
    model = Model(start_time=start_time,
                  duration=timedelta(days=2),
                  time_step=timedelta(minutes=30).total_seconds(),
                  uncertain=uncertain,
                  map=MapFromBNA(testdata['boston_data']['map'],
                                 refloat_halflife=1),
                  mode=mode)

    print 'adding a spill'
    start_position = (144.664166, 13.441944, 0.0)
    end_release_time = start_time + timedelta(hours=6)
    spill_amount = 1000.0
    spill_units = 'kg'
    model.spills += point_line_release_spill(num_elements=1000,
                                             start_position=start_position,
                                             release_time=start_time,
                                             end_release_time=end_release_time,
                                             amount=spill_amount,
                                             units=spill_units,
                                             substance=test_oil)
    spill = model.spills[-1]
    spill_volume = spill.get_mass() / spill.substance.density_at_temp()
    # need a scenario for SimpleMover
    # model.movers += SimpleMover(velocity=(1.0, -1.0, 0.0))

    print 'adding a RandomMover:'
    model.movers += 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=18), (5, 180))

    w_mover = WindMover(Wind(timeseries=series, units='m/s'))

    model.movers += w_mover
    model.environment += w_mover.wind

    print 'adding a cats shio mover:'

    c_mover = CatsMover(testdata['boston_data']['cats_curr2'],
                        tide=Tide(testdata['boston_data']['cats_shio']))

    # c_mover.scale_refpoint should automatically get set from tide object
    c_mover.scale = True  # default value
    c_mover.scale_value = -1

    # tide object automatically gets added by model
    model.movers += c_mover

    print 'adding a cats ossm mover:'

    c_mover = CatsMover(testdata['boston_data']['cats_curr2'],
                        tide=Tide(testdata['boston_data']['cats_ossm']))

    c_mover.scale = True  # but do need to scale (based on river stage)
    c_mover.scale_refpoint = (-70.65, 42.58333, 0.0)
    c_mover.scale_value = 1.

    print 'adding a cats mover:'

    c_mover = CatsMover(testdata['boston_data']['cats_curr3'])
    c_mover.scale = True  # but do need to scale (based on river stage)
    c_mover.scale_refpoint = (-70.78333, 42.39333, 0.0)

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

    # TODO: seg faulting for component mover - comment test for now
    # print "adding a component mover:"
    # comp_mover = ComponentMover(testdata['boston_data']['component_curr1'],
    #                             testdata['boston_data']['component_curr2'],
    #                             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.ref_point = (-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 Weatherer'
    model.environment += Water(311.15)
    skim_start = start_time + timedelta(hours=3)
    model.weatherers += [
        Evaporation(),
        Skimmer(spill_amount * .5,
                spill_units,
                efficiency=.3,
                active_range=(skim_start, skim_start + timedelta(hours=2))),
        Burn(0.2 * spill_volume,
             1.0, (skim_start, InfDateTime('inf')),
             efficiency=0.9)
    ]

    model.outputters += \
        CurrentJsonOutput(model.find_by_attr('_ref_as', 'current_movers',
                                             model.movers, allitems=True))

    return model
示例#4
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, 'SanJuanMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=1,
                           raster_size=1024 * 1024)

    renderer = Renderer(mapfile,
                        images_dir,
                        size=(800, 800),
                        projection_class=GeoProjection)

    renderer.viewport = ((-66.24, 18.39), (-66.1, 18.55))

    print 'initializing the model'
    start_time = datetime(2014, 9, 3, 13, 0)

    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = Model(time_step=900, start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map, uncertain=False)

    print 'adding outputters'
    model.outputters += renderer

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

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

    print 'adding a wind mover:'

    series = np.zeros((2, ), dtype=datetime_value_2d)
    series[0] = (start_time, (0, 270))
    series[1] = (start_time + timedelta(hours=18), (0, 270))

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

    print 'adding a cats shio mover:'

    # need to add the scale_factor for the tide heights file
    curr_file = get_datafile(os.path.join(base_dir, 'EbbTides.cur'))
    tide_file = get_datafile(os.path.join(base_dir, 'EbbTidesShioHt.txt'))

    c_mover = CatsMover(curr_file, tide=Tide(tide_file, scale_factor=.15))

    # this is the value in the file (default)
    c_mover.scale_refpoint = (-66.116667, 18.458333)
    c_mover.scale = True
    c_mover.scale_value = 1.0
    # c_mover.tide.scale_factor = 0.15

    model.movers += c_mover

    print 'adding a cats mover:'

    curr_file = get_datafile(os.path.join(base_dir, 'Offshore.cur'))

    c_mover = CatsMover(curr_file)

    # this is the value in the file (default)
    # c_mover.scale_refpoint = (-66.082836, 18.469334)
    c_mover.scale_refpoint = (-66.084333333, 18.46966667)
    c_mover.scale = True
    c_mover.scale_value = 0.1

    model.movers += c_mover

    print 'adding a spill'

    end_time = start_time + timedelta(hours=12)
    spill = point_line_release_spill(num_elements=1000,
                                     release_time=start_time,
                                     start_position=(-66.16374,
                                                     18.468054, 0.0),
                                     # start_position=(-66.129099,
                                     #                 18.465332, 0.0),
                                     # end_release_time=end_time,
                                     )

    model.spills += spill

    return model
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, './DelawareRiverMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=1)  # hours

    renderer = Renderer(mapfile, images_dir, size=(800, 800),
                        projection_class=GeoProjection)

    print 'initializing the model'
    start_time = datetime(2012, 8, 20, 13, 0)

    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = Model(time_step=900, start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map, uncertain=False)

    print 'adding outputters'
    model.outputters += renderer

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

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

    print 'adding a wind mover:'

    series = np.zeros((2, ), dtype=datetime_value_2d)
    series[0] = (start_time, (5, 270))
    series[1] = (start_time + timedelta(hours=18), (5, 270))

    wind_file = get_datafile(os.path.join(base_dir, r"ConstantWind.WND"))
   # wind = Wind(filename=wind_file)
    wind = Wind(timeseries=series, units='m/s')
    w_mover = WindMover(wind)
    #w_mover = WindMover(Wind(timeseries=series, units='knots'))
    model.movers += w_mover

    print 'adding a cats shio mover:'

    curr_file = get_datafile(os.path.join(base_dir, r"./FloodTides.cur"))
    tide_file = get_datafile(os.path.join(base_dir, r"./FloodTidesShio.txt"))

    c_mover = CatsMover(curr_file, tide=Tide(tide_file))

    # this is the value in the file (default)
    c_mover.scale_refpoint = (-75.081667,38.7995)
    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 mover:'

    curr_file = get_datafile(os.path.join(base_dir,
                             r"./Offshore.cur"))
    c_mover = CatsMover(curr_file)

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

    c_mover.scale = True
    c_mover.scale_refpoint = (-74.7483333,38.898333)
    c_mover.scale_value = .03
    model.movers += c_mover
# 
# pat1Angle 315; pat1Speed 30; pat1SpeedUnits knots; pat1ScaleToValue 0.314426 # these are from windows they don't match Mac values...
# pat2Angle 225; pat2Speed 30; pat2SpeedUnits knots; pat2ScaleToValue 0.032882
# scaleBy WindStress
 
    print 'adding a component mover:'

    curr_file1 = get_datafile(os.path.join(base_dir, r"NW30ktwinds.cur"))
    curr_file2 = get_datafile(os.path.join(base_dir, r"SW30ktwinds.cur"))
    comp_mover = ComponentMover(curr_file1, curr_file2, wind)
    #todo: following is not working when model is saved out - fix
    #comp_mover = ComponentMover(curr_file1, curr_file2, Wind(timeseries=series, units='m/s'))
    #comp_mover = ComponentMover(curr_file1, curr_file2, wind=Wind(filename=wind_file))

    comp_mover.ref_point = (-75.263166,39.1428333)
    comp_mover.pat1_angle = 315
    comp_mover.pat1_speed = 30
    comp_mover.pat1_speed_units = 1
    #comp_mover.pat1ScaleToValue = .314426
    comp_mover.pat1_scale_to_value = .502035
    comp_mover.pat2_angle = 225
    comp_mover.pat2_speed = 30
    comp_mover.pat2_speed_units = 1
    #comp_mover.pat2ScaleToValue = .032882
    comp_mover.pat2_scale_to_value = .021869

    model.movers += comp_mover

    print 'adding a spill'

    end_time = start_time + timedelta(hours=12)
    spill = point_line_release_spill(num_elements=1000,
                                     start_position=(-75.262319,
                                                     39.142987, 0.0),
                                     release_time=start_time)
                                     #end_release_time=end_time)

    model.spills += spill

    return model
示例#6
0
def make_model(images_dir, uncertain=False):
    '''
    Create a model from the data in sample_data/boston_data
    It contains:
      - the GeoProjection
      - wind mover
      - random mover
      - cats shio mover
      - cats ossm mover
      - plain cats mover
    '''
    mapfile = get_datafile(os.path.join(datafiles, './MassBayMap.bna'))

    start_time = datetime(2013, 2, 13, 9, 0)
    model = Model(start_time=start_time,
                  duration=timedelta(days=2),
                  time_step=timedelta(minutes=30).total_seconds(),
                  uncertain=uncertain,
                  map=MapFromBNA(mapfile, refloat_halflife=1))

    print 'adding a renderer'

    model.outputters += Renderer(mapfile, images_dir, size=(800, 600))

    print 'adding a spill'
    start_position = (144.664166, 13.441944, 0.0)
    end_release_time = start_time + timedelta(hours=6)
    model.spills += point_line_release_spill(num_elements=1000,
                                        start_position=start_position,
                                        release_time=start_time,
                                        end_release_time=end_release_time)

    # need a scenario for SimpleMover
    # model.movers += SimpleMover(velocity=(1.0, -1.0, 0.0))

    print 'adding a RandomMover:'
    model.movers += 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=18), (5, 180))

    w_mover = WindMover(Wind(timeseries=series, units='m/s'))

    model.movers += w_mover
    model.environment += w_mover.wind

    print 'adding a cats shio mover:'

    d_file1 = get_datafile(os.path.join(datafiles, './EbbTides.cur'))
    d_file2 = get_datafile(os.path.join(datafiles, './EbbTidesShio.txt'))
    c_mover = CatsMover(d_file1, tide=Tide(d_file2))

    # c_mover.scale_refpoint should automatically get set from tide object
    c_mover.scale = True  # default value
    c_mover.scale_value = -1

    # tide object automatically gets added by model
    model.movers += c_mover

    print 'adding a cats ossm mover:'

    d_file1 = get_datafile(os.path.join(datafiles,
                           './MerrimackMassCoast.cur'))
    d_file2 = get_datafile(os.path.join(datafiles,
                           './MerrimackMassCoastOSSM.txt'))
    c_mover = CatsMover(d_file1, tide=Tide(d_file2))

    c_mover.scale = True  # but do need to scale (based on river stage)
    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:'

    d_file1 = get_datafile(os.path.join(datafiles, 'MassBaySewage.cur'))
    c_mover = CatsMover(d_file1)
    c_mover.scale = True  # but do need to scale (based on river stage)
    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

    print 'adding a Weatherer'
    weatherer = Weatherer()
    model.weatherers += weatherer

    return model
示例#7
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=1)  # hours

    renderer = Renderer(mapfile, images_dir, size=(800, 800),
                        projection_class=GeoProjection)

    print 'initializing the model'
    start_time = datetime(2013, 3, 12, 10, 0)

    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = Model(time_step=900, start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map, uncertain=False)

    print 'adding outputters'
    model.outputters += renderer

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

    print 'adding a RandomMover:'
    model.movers += 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=18), (5, 180))

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

    print 'adding a cats shio mover:'

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

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

    # print "adding a component mover:"
    # component_file1 =  os.path.join( base_dir, r"./WAC10msNW.cur")
    # component_file2 =  os.path.join( base_dir, r"./WAC10msSW.cur")

    print 'adding a spill'

    end_time = start_time + timedelta(hours=12)
    spill = point_line_release_spill(num_elements=1000,
                                     start_position=(-70.911432,
                                                     42.369142, 0.0),
                                     release_time=start_time,
                                     end_release_time=end_time)

    model.spills += spill

    return model
示例#8
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, 'DelawareRiverMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=1)  # hours

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

    print 'initializing the model'
    start_time = datetime(2012, 8, 20, 13, 0)

    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = Model(time_step=900, start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map, uncertain=False)

    print 'adding outputters'
    model.outputters += renderer

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

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

    print 'adding a wind mover:'

    # wind_file = get_datafile(os.path.join(base_dir, 'ConstantWind.WND'))
    # wind = Wind(filename=wind_file)

    series = np.zeros((2, ), dtype=datetime_value_2d)
    series[0] = (start_time, (5, 270))
    series[1] = (start_time + timedelta(hours=25), (5, 270))

    wind = Wind(timeseries=series, units='m/s')

    # w_mover = WindMover(Wind(timeseries=series, units='knots'))
    w_mover = WindMover(wind)
    model.movers += w_mover

    print 'adding a cats shio mover:'

    curr_file = get_datafile(os.path.join(base_dir, 'FloodTides.cur'))
    tide_file = get_datafile(os.path.join(base_dir, 'FloodTidesShio.txt'))

    c_mover = CatsMover(curr_file, tide=Tide(tide_file))

    # this is the value in the file (default)
    c_mover.scale_refpoint = (-75.081667, 38.7995)
    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 mover:'

    curr_file = get_datafile(os.path.join(base_dir, 'Offshore.cur'))
    c_mover = CatsMover(curr_file)

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

    c_mover.scale = True
    c_mover.scale_refpoint = (-74.7483333, 38.898333)
    c_mover.scale_value = .03
    model.movers += c_mover
    #
    # these are from windows they don't match Mac values...
    # pat1Angle 315;
    # pat1Speed 30; pat1SpeedUnits knots;
    # pat1ScaleToValue 0.314426
    #
    # pat2Angle 225;
    # pat2Speed 30; pat2SpeedUnits knots;
    # pat2ScaleToValue 0.032882
    # scaleBy WindStress

    print 'adding a component mover:'

    # if only using one current pattern
    # comp_mover = ComponentMover(curr_file1, None, wind)
    #
    # todo: following is not working when model is saved out - fix
    # comp_mover = ComponentMover(curr_file1, curr_file2,
    #                             Wind(timeseries=series, units='m/s'))
    # comp_mover = ComponentMover(curr_file1, curr_file2,
    #                             wind=Wind(filename=wind_file))

    curr_file1 = get_datafile(os.path.join(base_dir, 'NW30ktwinds.cur'))
    curr_file2 = get_datafile(os.path.join(base_dir, 'SW30ktwinds.cur'))
    comp_mover = ComponentMover(curr_file1, curr_file2, wind)

    comp_mover.scale_refpoint = (-75.263166, 39.1428333)

    comp_mover.pat1_angle = 315
    comp_mover.pat1_speed = 30
    comp_mover.pat1_speed_units = 1
    # comp_mover.pat1ScaleToValue = .314426
    comp_mover.pat1_scale_to_value = .502035

    comp_mover.pat2_angle = 225
    comp_mover.pat2_speed = 30
    comp_mover.pat2_speed_units = 1
    # comp_mover.pat2ScaleToValue = .032882
    comp_mover.pat2_scale_to_value = .021869

    model.movers += comp_mover

    print 'adding a spill'

    end_time = start_time + timedelta(hours=12)
    spill = point_line_release_spill(num_elements=1000,
                                     release_time=start_time,
                                     # end_release_time=end_time,
                                     start_position=(-75.262319,
                                                     39.142987, 0.0),
                                     )

    model.spills += spill

    return model
def make_model(images_dir=os.path.join(base_dir, 'images')):
    print 'initializing the model'

    start_time = datetime(2013, 2, 13, 9, 0)

    # 1/2 hr in seconds
    model = Model(start_time=start_time,
                  duration=timedelta(days=2),
                  time_step=30 * 60,
                  uncertain=False)

    print 'adding the map'
    mapfile = get_datafile(os.path.join(base_dir, 'GuamMap.bna'))
    model.map = MapFromBNA(mapfile, refloat_halflife=6)  # hours

    print 'adding outputters'
    renderer = Renderer(mapfile, images_dir, image_size=(800, 600))
    renderer.viewport = ((144.6, 13.4), (144.7, 13.5))
    model.outputters += renderer

    netcdf_file = os.path.join(base_dir, 'script_guam.nc')
    scripting.remove_netcdf(netcdf_file)

    model.outputters += NetCDFOutput(netcdf_file, which_data='all')

    print 'adding a spill'
    end_time = start_time + timedelta(hours=6)
    spill = point_line_release_spill(num_elements=10,
                                     start_position=(144.664166,
                                                     13.441944, 0.0),
                                     release_time=start_time,
                                     end_release_time=end_time)
    model.spills += spill

    print 'adding a RandomMover:'
    model.movers += RandomMover(diffusion_coef=50000)

    print 'adding a wind mover:'
    series = np.zeros((4, ), dtype=datetime_value_2d)
    series[0] = (start_time, (5, 135))
    series[1] = (start_time + timedelta(hours=23), (5, 135))
    series[2] = (start_time + timedelta(hours=25), (5, 0))
    series[3] = (start_time + timedelta(hours=48), (5, 0))

    wind = Wind(timeseries=series, units='knot')
    w_mover = WindMover(wind)
    model.movers += w_mover
    model.environment += w_mover.wind

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

    c_mover.scale = True
    c_mover.scale_refpoint = (144.601, 13.42)
    c_mover.scale_value = .15

    model.movers += c_mover

    print 'adding a cats shio mover:'
    curr_file = get_datafile(os.path.join(base_dir, 'WACFloodTide.cur'))
    tide_file = get_datafile(os.path.join(base_dir, 'WACFTideShioHts.txt'))

    c_mover = CatsMover(curr_file, tide=Tide(tide_file))

    # this is different from the value in the file!
    c_mover.scale_refpoint = (144.621667, 13.45)

    c_mover.scale = True
    c_mover.scale_value = 1

    # will need the fScaleFactor for heights files
    # c_mover.time_dep.scale_factor = 1.1864
    c_mover.tide.scale_factor = 1.1864

    model.movers += c_mover
    model.environment += c_mover.tide

    return model
示例#10
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, './MassBayMap.bna'))
    gnome_map = MapFromBNA(mapfile, refloat_halflife=1)  # hours

    renderer = Renderer(mapfile,
                        images_dir,
                        size=(800, 800),
                        projection_class=GeoProjection)

    print 'initializing the model'
    start_time = datetime(2013, 3, 12, 10, 0)

    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = Model(time_step=900,
                  start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map,
                  uncertain=False)

    print 'adding outputters'
    model.outputters += renderer

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

    print 'adding a RandomMover:'
    model.movers += 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=18), (5, 180))

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

    print 'adding a cats shio mover:'

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

    c_mover = CatsMover(curr_file, tide=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 = get_datafile(
        os.path.join(base_dir, r"./MerrimackMassCoast.cur"))
    tide_file = get_datafile(
        os.path.join(base_dir, r"./MerrimackMassCoastOSSM.txt"))
    c_mover = CatsMover(curr_file, tide=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 = get_datafile(os.path.join(base_dir, r"MassBaySewage.cur"))
    c_mover = 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 = get_datafile(os.path.join(base_dir, r"./WAC10msNW.cur"))
    component_file2 = get_datafile(os.path.join(base_dir, r"./WAC10msSW.cur"))
    comp_mover = 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 = start_time + timedelta(hours=12)
    spill = point_line_release_spill(num_elements=1000,
                                     start_position=(-70.911432, 42.369142,
                                                     0.0),
                                     release_time=start_time,
                                     end_release_time=end_time)

    model.spills += spill

    return model
示例#11
0
def make_model(images_dir=os.path.join(base_dir, 'images')):
    print 'initializing the model'

    start_time = datetime(2013, 2, 13, 9, 0)

    # 1/2 hr in seconds
    model = Model(start_time=start_time,
                  duration=timedelta(days=2),
                  time_step=30 * 60,
                  uncertain=False)

    print 'adding the map'
    mapfile = get_datafile(os.path.join(base_dir, 'GuamMap.bna'))
    model.map = MapFromBNA(mapfile, refloat_halflife=6)  # hours

    print 'adding outputters'
    renderer = Renderer(mapfile, images_dir, image_size=(800, 600))
    renderer.viewport = ((144.6, 13.4), (144.7, 13.5))
    model.outputters += renderer

    netcdf_file = os.path.join(base_dir, 'script_guam.nc')
    scripting.remove_netcdf(netcdf_file)

    model.outputters += NetCDFOutput(netcdf_file, which_data='all')

    print 'adding a spill'
    end_time = start_time + timedelta(hours=6)
    spill = point_line_release_spill(num_elements=10,
                                     start_position=(144.664166, 13.441944,
                                                     0.0),
                                     release_time=start_time,
                                     end_release_time=end_time)
    model.spills += spill

    print 'adding a RandomMover:'
    model.movers += RandomMover(diffusion_coef=50000)

    print 'adding a wind mover:'
    series = np.zeros((4, ), dtype=datetime_value_2d)
    series[0] = (start_time, (5, 135))
    series[1] = (start_time + timedelta(hours=23), (5, 135))
    series[2] = (start_time + timedelta(hours=25), (5, 0))
    series[3] = (start_time + timedelta(hours=48), (5, 0))

    wind = Wind(timeseries=series, units='knot')
    w_mover = WindMover(wind)
    model.movers += w_mover
    model.environment += w_mover.wind

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

    c_mover.scale = True
    c_mover.scale_refpoint = (144.601, 13.42)
    c_mover.scale_value = .15

    model.movers += c_mover

    print 'adding a cats shio mover:'
    curr_file = get_datafile(os.path.join(base_dir, 'WACFloodTide.cur'))
    tide_file = get_datafile(os.path.join(base_dir, 'WACFTideShioHts.txt'))

    c_mover = CatsMover(curr_file, tide=Tide(tide_file))

    # this is different from the value in the file!
    c_mover.scale_refpoint = (144.621667, 13.45)

    c_mover.scale = True
    c_mover.scale_value = 1

    # will need the fScaleFactor for heights files
    # c_mover.time_dep.scale_factor = 1.1864
    c_mover.tide.scale_factor = 1.1864

    model.movers += c_mover
    model.environment += c_mover.tide

    return model
示例#12
0
def make_model(uncertain=False, mode='gnome'):
    '''
    Create a model from the data in sample_data/boston_data
    It contains:
      - the GeoProjection
      - wind mover
      - random mover
      - cats shio mover
      - cats ossm mover
      - plain cats mover
    '''
    start_time = datetime(2013, 2, 13, 9, 0)
    model = Model(start_time=start_time,
                  duration=timedelta(days=2),
                  time_step=timedelta(minutes=30).total_seconds(),
                  uncertain=uncertain,
                  map=MapFromBNA(testdata['boston_data']['map'],
                                 refloat_halflife=1),
                  mode=mode)

    print 'adding a spill'
    start_position = (144.664166, 13.441944, 0.0)
    end_release_time = start_time + timedelta(hours=6)
    spill_amount = 1000.0
    spill_units = 'kg'
    model.spills += point_line_release_spill(num_elements=1000,
                                             start_position=start_position,
                                             release_time=start_time,
                                             end_release_time=end_release_time,
                                             amount=spill_amount,
                                             units=spill_units,
                                             substance=test_oil)
    spill = model.spills[-1]
    spill_volume = spill.get_mass() / spill.substance.density_at_temp()
    # need a scenario for SimpleMover
    # model.movers += SimpleMover(velocity=(1.0, -1.0, 0.0))

    print 'adding a RandomMover:'
    model.movers += 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=18), (5, 180))

    w_mover = WindMover(Wind(timeseries=series, units='m/s'))

    model.movers += w_mover
    model.environment += w_mover.wind

    print 'adding a cats shio mover:'

    c_mover = CatsMover(testdata['boston_data']['cats_curr2'],
                        tide=Tide(testdata['boston_data']['cats_shio']))

    # c_mover.scale_refpoint should automatically get set from tide object
    c_mover.scale = True  # default value
    c_mover.scale_value = -1

    # tide object automatically gets added by model
    model.movers += c_mover

    print 'adding a cats ossm mover:'

    c_mover = CatsMover(testdata['boston_data']['cats_curr2'],
                        tide=Tide(testdata['boston_data']['cats_ossm']))

    c_mover.scale = True  # but do need to scale (based on river stage)
    c_mover.scale_refpoint = (-70.65, 42.58333, 0.0)
    c_mover.scale_value = 1.

    print 'adding a cats mover:'

    c_mover = CatsMover(testdata['boston_data']['cats_curr3'])
    c_mover.scale = True  # but do need to scale (based on river stage)
    c_mover.scale_refpoint = (-70.78333, 42.39333, 0.0)

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

    # TODO: seg faulting for component mover - comment test for now
    # print "adding a component mover:"
    # comp_mover = ComponentMover(testdata['boston_data']['component_curr1'],
    #                             testdata['boston_data']['component_curr2'],
    #                             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.ref_point = (-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 Weatherer'
    model.environment += Water(311.15)
    skim_start = start_time + timedelta(hours=3)
    model.weatherers += [Evaporation(),
                         Skimmer(spill_amount * .5,
                                 spill_units,
                                 efficiency=.3,
                                 active_start=skim_start,
                                 active_stop=skim_start + timedelta(hours=2)),
                         Burn(0.2 * spill_volume, 1.0, skim_start,
                              efficiency=0.9)]

    model.outputters += \
        CurrentJsonOutput(model.find_by_attr('_ref_as', 'current_movers',
                                             model.movers, allitems=True))

    return model
示例#13
0
def make_model(images_dir=os.path.join(base_dir, 'images')):

    # create the maps:

    print 'creating the maps'
    mapfile = get_datafile(os.path.join(base_dir, 'SanJuanMap.bna'))
    gnome_map = MapFromBNA(mapfile,
                           refloat_halflife=1,
                           raster_size=1024 * 1024)

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

    renderer.viewport = ((-66.24, 18.39), (-66.1, 18.55))

    print 'initializing the model'
    start_time = datetime(2014, 9, 3, 13, 0)

    # 15 minutes in seconds
    # Default to now, rounded to the nearest hour
    model = Model(time_step=900,
                  start_time=start_time,
                  duration=timedelta(days=1),
                  map=gnome_map,
                  uncertain=False)

    print 'adding outputters'
    model.outputters += renderer

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

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

    print 'adding a wind mover:'

    series = np.zeros((2, ), dtype=datetime_value_2d)
    series[0] = (start_time, (0, 270))
    series[1] = (start_time + timedelta(hours=18), (0, 270))

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

    print 'adding a cats shio mover:'

    # need to add the scale_factor for the tide heights file
    curr_file = get_datafile(os.path.join(base_dir, 'EbbTides.cur'))
    tide_file = get_datafile(os.path.join(base_dir, 'EbbTidesShioHt.txt'))

    c_mover = CatsMover(curr_file, tide=Tide(tide_file, scale_factor=.15))

    # this is the value in the file (default)
    c_mover.scale_refpoint = (-66.116667, 18.458333)
    c_mover.scale = True
    c_mover.scale_value = 1.0
    # c_mover.tide.scale_factor = 0.15

    model.movers += c_mover

    print 'adding a cats mover:'

    curr_file = get_datafile(os.path.join(base_dir, 'Offshore.cur'))

    c_mover = CatsMover(curr_file)

    # this is the value in the file (default)
    # c_mover.scale_refpoint = (-66.082836, 18.469334)
    c_mover.scale_refpoint = (-66.084333333, 18.46966667)
    c_mover.scale = True
    c_mover.scale_value = 0.1

    model.movers += c_mover

    print 'adding a spill'

    end_time = start_time + timedelta(hours=12)
    spill = point_line_release_spill(
        num_elements=1000,
        release_time=start_time,
        start_position=(-66.16374, 18.468054, 0.0),
        # start_position=(-66.129099,
        #                 18.465332, 0.0),
        # end_release_time=end_time,
    )

    model.spills += spill

    return model