def verify_input():
# get the data from input folder
val1 = v1.get()
chem_type = get_chemType(val1)
chem_file = get_chemFile(chem_type)
region_file = CUR_PATH + './Input/Region.xlsx'
release_file = CUR_PATH + './Input/ChemRelease.xlsx'
start_date_temp = '2005 1 1'
end_date_temp = '2005 12 31'
if chem_type != 'Nanomaterial':
load_data_nonNano = LoadData(chem_type, chem_file, region_file,
release_file, start_date_temp,
end_date_temp)
chem_params, presence, env, climate, bgConc, release, release_scenario = load_data_nonNano.run_loadData(
)
else:
time, presence, env, climate, bgConc, chem_params, release, release_scenario = load_data(
region_file, release_file, chem_file, start_date_temp,
end_date_temp)
chem_txt4 = Label(text='Chemical:', bg=bg_col).place(x=140, y=170)
chem_name = StringVar(window, value=chem_params['name'])
entry1 = Entry(window,
textvariable=chem_name,
bg='lightgrey',
state='disabled')
entry1.place(x=220, y=170, width=250)
chem_txt5 = Label(text='Region:', bg=bg_col).place(x=140, y=200)
region_name = StringVar(window, value=env['name'])
entry2 = Entry(window,
textvariable=region_name,
bg='lightgrey',
state='disabled')
entry2.place(x=220, y=200, width=250)
chem_txt6 = Label(text='Release:', bg=bg_col).place(x=140, y=230)
release_scenario = StringVar(window, value=release_scenario)
entry3 = Entry(window,
textvariable=release_scenario,
bg='lightgrey',
state='disabled')
entry3.place(x=220, y=230, width=250)
return chem_params, env, release_scenario
def run_model(self):
if self.chem_type != 'Nanomaterial':
# load data
data = LoadData(self.chem_type, self.chem_file, self.region_file,
self.release_file, self.start_date, self.end_date)
chemParams, presence, env, climate, bgConc, release, release_scenario = data.run_loadData(
)
V_bulk_list = [
env['airV'], env['fwV'], env['sedFWV'], env['swV'],
env['sedSWV'], env['soilV1'], env['soilV2'], env['soilV3'],
env['soilV4']
]
sim_days = self.simulation_days()
funC_df_list = []
funM_df_list = []
else:
# load data
time, presence, env, climate, bgConc, chemParams, release, release_scenario = load_data(
self.region_file, self.release_file, self.chem_file,
self.start_date, self.end_date)
V_bulk_list = [
env['airV'], env['freshwV'], env['sedFWV'], env['seawV'],
env['sedSWV'], env['soilV1'], env['soilV2'], env['soilV3'],
env['soilV4']
]
if self.run_option == 1:
if self.chem_type == 'NonionizableOrganic':
date_array, process_array, funC_kg_1, funC_kg_1_sub, funM_kg_1, funM_kg_1_sub = \
org_solver(self.start_date, sim_days, presence, env, climate, chemParams, bgConc, release)
funC_df_list = [funC_kg_1, funC_kg_1_sub]
funM_df_list = [funM_kg_1, funM_kg_1_sub]
elif self.chem_type == 'IonizableOrganic' or self.chem_type == 'Metal':
date_array, process_array, funC_kg_1, funC_kg_2, funC_kg_3, funC_kg_1_sub, funC_kg_2_sub, funC_kg_3_sub, \
funM_kg_1, funM_kg_2, funM_kg_3, funM_kg_1_sub, funM_kg_2_sub, funM_kg_3_sub = \
ion_solver(self.chem_type, self.start_date, sim_days, presence, env, climate, chemParams, bgConc, release)
funC_df_list = [
funC_kg_1, funC_kg_1_sub, funC_kg_2, funC_kg_2_sub,
funC_kg_3, funC_kg_3_sub
]
funM_df_list = [
funM_kg_1, funM_kg_1_sub, funM_kg_2, funM_kg_2_sub,
funM_kg_3, funM_kg_3_sub
]
elif self.chem_type == 'Nanomaterial':
# run option 1 is for a single run
date_array, process_array, funC_kg, funC_kg_sub, funM_kg, funM_kg_sub, \
funC_kg_1, funC_kg_2, funC_kg_3, funM_kg_1, funM_kg_2, funM_kg_3 = \
nano_solver(self.start_date, time, presence, env, climate, chemParams, bgConc, release)
funC_df_list = [funC_kg_1, funC_kg_2, funC_kg_3]
funM_df_list = [funM_kg_1, funM_kg_2, funM_kg_3]
# generate results and plots
result = GenerateResult()
result.store_output(self.chem_type, chemParams['name'], env['name'],
release_scenario, release, date_array,
process_array, V_bulk_list, funC_df_list,
funM_df_list, self.output_file_path,
self.file_name)
