def test_dissolution_mass_balance(oil, temp, num_elems, expected_mb, on):
'''
Fuel Oil #6 does not exist...
'''
et = floating(substance=oil)
diss = Dissolution(waves)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
element_type=et,
num_elements=num_elems)[:2]
print 'num spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount
model_time = (sc.spills[0].get('release_time') +
timedelta(seconds=time_step))
diss.on = on
diss.prepare_for_model_run(sc)
diss.initialize_data(sc, sc.num_released)
diss.prepare_for_model_step(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
if on:
assert np.isclose(sc.mass_balance['dissolution'], expected_mb)
else:
assert 'dissolution' not in sc.mass_balance
def test_dissolution_k_ow(oil, temp, num_elems, k_ow, on):
'''
Here we are testing that the molar averaged oil/water partition
coefficient (K_ow) is getting calculated with reasonable values
'''
et = floating(substance=oil)
diss = Dissolution(waves)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
element_type=et,
num_elements=num_elems)[:2]
print 'num spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount
# we don't want to query the oil database, but get the sample oil
assert sc.spills[0].element_type.substance.record.id is None
model_time = (sc.spills[0].release_time + timedelta(seconds=time_step))
diss.on = on
diss.prepare_for_model_run(sc)
diss.initialize_data(sc, sc.num_released)
diss.prepare_for_model_step(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
assert all(np.isclose(sc._data_arrays['partition_coeff'], k_ow))
def test_dissolution_k_ow(oil, temp, num_elems, k_ow, on):
'''
Here we are testing that the molar averaged oil/water partition
coefficient (K_ow) is getting calculated with reasonable values
'''
et = floating(substance=oil)
diss = Dissolution(waves)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
element_type=et,
num_elements=num_elems)[:2]
print 'num spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount
# we don't want to query the oil database, but get the sample oil
assert sc.spills[0].element_type.substance.record.id is None
model_time = (sc.spills[0].release_time +
timedelta(seconds=time_step))
diss.on = on
diss.prepare_for_model_run(sc)
diss.initialize_data(sc, sc.num_released)
diss.prepare_for_model_step(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
assert all(np.isclose(sc._data_arrays['partition_coeff'], k_ow))
def test_dissolution(oil, temp, num_elems, on):
'''
Fuel Oil #6 does not exist...
'''
et = floating(substance=oil)
diss = Dissolution(waves)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
element_type=et,
num_elements=num_elems)[:2]
print 'num spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount
model_time = (sc.spills[0].get('release_time') +
timedelta(seconds=time_step))
diss.on = on
diss.prepare_for_model_run(sc)
diss.initialize_data(sc, sc.num_released)
diss.prepare_for_model_step(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
if on:
print sc._data_arrays
assert all(np.isclose(sc._data_arrays['partition_coeff'], 511.445))
assert sc.mass_balance['dissolution'] > 0
print "sc.mass_balance['dissolution']"
print sc.mass_balance['dissolution']
else:
assert 'dissolution' not in sc.mass_balance
def test_dissolution_droplet_size(oil, temp, num_elems, drop_size, on):
'''
Here we are testing that the molar averaged oil/water partition
coefficient (K_ow) is getting calculated with reasonable values
'''
et = floating(substance=oil)
disp = NaturalDispersion(waves, water)
diss = Dissolution(waves)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
element_type=et,
num_elements=num_elems)[:2]
print 'num_spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount, sc.spills[0].units
model_time = (sc.spills[0]
.release_time + timedelta(seconds=time_step))
print 'model_time = ', model_time
print 'time_step = ', time_step
# we don't want to query the oil database, but get the sample oil
assert sc.spills[0].element_type.substance.record.id is None
disp.on = on
diss.on = on
disp.prepare_for_model_run(sc)
diss.prepare_for_model_run(sc)
disp.initialize_data(sc, sc.num_released)
diss.initialize_data(sc, sc.num_released)
for i in range(3):
disp.prepare_for_model_step(sc, time_step, model_time)
diss.prepare_for_model_step(sc, time_step, model_time)
disp.weather_elements(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
print 'droplet_avg_size:', sc._data_arrays['droplet_avg_size']
assert np.allclose(sc._data_arrays['droplet_avg_size'], drop_size[i])
def test_dissolution_droplet_size(oil, temp, num_elems, drop_size, on):
'''
Here we are testing that the molar averaged oil/water partition
coefficient (K_ow) is getting calculated with reasonable values
'''
et = floating(substance=oil)
disp = NaturalDispersion(waves, water)
diss = Dissolution(waves, wind)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
element_type=et,
num_elements=num_elems)[:2]
print 'num_spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount, sc.spills[0].units
model_time = (sc.spills[0]
.release_time + timedelta(seconds=time_step))
print 'model_time = ', model_time
print 'time_step = ', time_step
# we don't want to query the oil database, but get the sample oil
assert sc.spills[0].element_type.substance.record.id is None
disp.on = on
diss.on = on
disp.prepare_for_model_run(sc)
diss.prepare_for_model_run(sc)
disp.initialize_data(sc, sc.num_released)
diss.initialize_data(sc, sc.num_released)
for i in range(3):
disp.prepare_for_model_step(sc, time_step, model_time)
diss.prepare_for_model_step(sc, time_step, model_time)
disp.weather_elements(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
print 'droplet_avg_size:', sc._data_arrays['droplet_avg_size']
assert np.allclose(sc._data_arrays['droplet_avg_size'], drop_size[i])
def test_dissolution_k_ow(oil, temp, num_elems, k_ow, on):
'''
Here we are testing that the molar averaged oil/water partition
coefficient (K_ow) is getting calculated with reasonable values
Note: for now droplets are calculated in natural dispersion so
natural dispersion is required for the dissolution algorithm
'''
diss = Dissolution(waves, wind)
disp = NaturalDispersion(waves, water)
(sc, time_step) = weathering_data_arrays(diss.array_types,
water,
substance=oil,
num_elements=num_elems)[:2]
print 'num spills:', len(sc.spills)
print 'spill[0] amount:', sc.spills[0].amount
# we don't want to query the oil database, but get the sample oil
#assert sc.spills[0].substance.record.id is None
model_time = (sc.spills[0].release_time +
timedelta(seconds=time_step))
disp.on = on
diss.on = on
disp.prepare_for_model_run(sc)
diss.prepare_for_model_run(sc)
disp.initialize_data(sc, sc.num_released)
diss.initialize_data(sc, sc.num_released)
disp.prepare_for_model_step(sc, time_step, model_time)
diss.prepare_for_model_step(sc, time_step, model_time)
disp.weather_elements(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
assert all(np.isclose(sc._data_arrays['partition_coeff'], k_ow))
def test_dissolution_mass_balance(oil, temp, wind_speed,
num_elems, expected_mb, on):
'''
Test a single dissolution step.
- for this, we need a dispersion weatherer to give us a droplet size
distribution.
Fuel Oil #6 does not exist...
'''
waves = build_waves_obj(wind_speed, 'knots', 270, temp)
wind = waves.wind
water = waves.water
disp = NaturalDispersion(waves, water)
diss = Dissolution(waves, wind)
all_array_types = diss.array_types.union(disp.array_types)
(sc, time_step) = weathering_data_arrays(all_array_types,
water,
num_elements=num_elems,
units='kg',
amount_per_element=1.0
)[:2]
print 'time_step: {}'.format(time_step)
print 'num spills:', len(sc.spills)
print 'spill[0] amount: {} {}'.format(sc.spills[0].amount,
sc.spills[0].units)
print 'temperature = ', temp
print 'wind = ',
print '\n'.join(['\t{} {}'.format(ts[1][0], waves.wind.units)
for ts in waves.wind.timeseries])
print
# we don't want to query the oil database, but get the sample oil
#assert sc.spills[0].substance.record.id is None
initial_amount = sc.spills[0].amount
model_time = (sc.spills[0].release_time +
timedelta(seconds=time_step))
disp.on = on
disp.prepare_for_model_run(sc)
disp.initialize_data(sc, sc.num_released)
diss.on = on
diss.prepare_for_model_run(sc)
diss.initialize_data(sc, sc.num_released)
disp.prepare_for_model_step(sc, time_step, model_time)
diss.prepare_for_model_step(sc, time_step, model_time)
disp.weather_elements(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
if on:
print ('fraction dissolved: {}'
.format(sc.mass_balance['dissolution'] / initial_amount)
)
print ('fraction dissolved: {:.2%}'
.format(sc.mass_balance['dissolution'] / initial_amount)
)
print sc.mass_balance['dissolution'], expected_mb
assert np.isclose(sc.mass_balance['dissolution'], expected_mb,
rtol=1e-4)
else:
assert 'dissolution' not in sc.mass_balance
def test_dissolution_mass_balance(oil, temp, wind_speed,
num_elems, expected_mb, on):
'''
Test a single dissolution step.
- for this, we need a dispersion weatherer to give us a droplet size
distribution.
Fuel Oil #6 does not exist...
'''
et = floating(substance=oil)
waves = build_waves_obj(wind_speed, 'knots', 270, temp)
water = waves.water
disp = NaturalDispersion(waves, water)
diss = Dissolution(waves)
all_array_types = diss.array_types.union(disp.array_types)
(sc, time_step) = weathering_data_arrays(all_array_types,
water,
element_type=et,
num_elements=num_elems,
units='kg',
amount_per_element=1.0
)[:2]
print 'time_step: {}'.format(time_step)
print 'num spills:', len(sc.spills)
print 'spill[0] amount: {} {}'.format(sc.spills[0].amount,
sc.spills[0].units)
print 'temperature = ', temp
print 'wind = ',
print '\n'.join(['\t{} {}'.format(ts[1][0], waves.wind.units)
for ts in waves.wind.timeseries])
print
# we don't want to query the oil database, but get the sample oil
assert sc.spills[0].element_type.substance.record.id is None
initial_amount = sc.spills[0].amount
model_time = (sc.spills[0].release_time +
timedelta(seconds=time_step))
disp.on = on
disp.prepare_for_model_run(sc)
disp.initialize_data(sc, sc.num_released)
diss.on = on
diss.prepare_for_model_run(sc)
diss.initialize_data(sc, sc.num_released)
disp.prepare_for_model_step(sc, time_step, model_time)
diss.prepare_for_model_step(sc, time_step, model_time)
disp.weather_elements(sc, time_step, model_time)
diss.weather_elements(sc, time_step, model_time)
if on:
print ('fraction dissolved: {}'
.format(sc.mass_balance['dissolution'] / initial_amount)
)
print ('fraction dissolved: {:.2%}'
.format(sc.mass_balance['dissolution'] / initial_amount)
)
print sc.mass_balance['dissolution'], expected_mb
assert np.isclose(sc.mass_balance['dissolution'], expected_mb)
else:
assert 'dissolution' not in sc.mass_balance