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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Runs 5 days backtracking simulations of oil particles from different sites in Qatar
Author: Thomas Anselain, Earth and Life Institute, UCLouvain, Belgium
Last modified: 7 April 2022
"""
#%% Import packages
import sys
from datetime import timedelta
from datetime import datetime
from opendrift.readers import reader_netCDF_CF_generic
from opendrift.models.openoil import OpenOil
import os
from netCDF4 import Dataset
from mesh_to_landmask import h5_to_landmask
import calendar
import numpy as np
import geopandas as gpd
basedir = "/export/miro/students/tanselain/OpenOil/"
abbr_to_num = {name: num for num, name in enumerate(calendar.month_abbr) if num}
#%% Beginning of loops
def OpenOil_run(source, mois, year, out) :
path = basedir + f'Simulation_backward/Shape_desalination_plants/Point_station_buffer_decoupe_point_buffer_{source}.shp'
df1 = gpd.read_file(path)
x = len(df1)
print(x)
num =abbr_to_num[mois]
# Take into account the monthly averaged temperature
b = {'Jan': 22.1, 'Feb': 20.85, 'Mar': 22.25, 'Apr': 24.85, 'May': 25.55, 'Jun': 31.25, 'Jul': 32.6, 'Aug': 33.3, 'Sep': 32.55, 'Oct': 30.9, 'Nov': 28.05, 'Dec': 24.35}
temp = b[mois]
# Number of loop in the month
tstart = calendar.timegm([year_int, num, 1, 0, 0, 0])
tend = calendar.timegm([year_int+1 if num == 12 else year_int, num%12+1, 1, 0, 0, 0])
ndays = int((tend-tstart)/86400)
print(mois, ndays)
if mois == 'Sep' :
nb =16
else :
nb = 1
# Simulation loop
for date in range(nb, ndays+1) :
#if source == 'umm_al_houl' and mois == 'Jan' :
# continue
#if source == 'umm_al_houl' and mois == 'Feb' :
# continue
#if source == 'umm_al_houl' and mois == 'Mar' :
# continue
#if source == 'umm_al_houl' and mois == 'Apr' :
# continue
# Find forcing data
forcdir = basedir + f'Simulation_backward'
if year == '2016' :
wind_file = forcdir + f"/Forcing_data/wind/wind_2015_2016.nc"
if year == '2017' or year == '2018' :
wind_file = forcdir + f"/Forcing_data/wind/wind_2016_2018.nc"
if year == '2019' or year == '2020' :
wind_file = forcdir + f"/Forcing_data/wind/wind_2018_2020.nc"
wave_file = forcdir + f"/Forcing_data/waves/{year}/waves_{year}{num:02d}.nc"
mercator_file = forcdir + f"/Forcing_data/currents+tides/{year}/currents+tides_{year}{num:02d}_extended_2px.nc"
bathy_file = forcdir + "/Forcing_data/bathymetry_persian_gulf.nc"
def add_std_names(filename):
# to avoid os error
os.environ["HDF5_USE_FILE_LOCKING"] = "FALSE"
with Dataset(filename, "r+") as f:
for var in f.variables.values():
if not hasattr(var, "standard_name"):
# ECMWF wind files
if var.name == "u10":
setattr(var, "standard_name", "x_wind")
elif var.name == "v10":
setattr(var, "standard_name", "y_wind")
#def invert_ecmwf_wind(filename):
# with Dataset(filename, "r+") as f:
# latvar = f.variables["latitude"]
# lat = np.asarray(latvar[:])
# if lat[1] < lat[0]:
# latvar[:] = lat[::-1]
# uvar, vvar = f.variables["u10"], f.variables["v10"]
# for i in range(uvar.shape[0]):
# uvar[i,:] = np.flipud(np.array(uvar[i]))
# vvar[i,:] = np.flipud(np.array(vvar[i]))
#
#invert_ecmwf_wind(wind_file)
# add_std_names(wind_file)
reader_wind = reader_netCDF_CF_generic.Reader(
filename=wind_file,
name="wind",
proj4='+proj=latlong'
)
reader_waves = reader_netCDF_CF_generic.Reader(
filename=wave_file,
name='waves',
proj4="+proj=latlong"
)
reader_mercator = reader_netCDF_CF_generic.Reader(
filename=mercator_file,
name="mercator",
proj4='+proj=latlong'
)
reader_bathy = reader_netCDF_CF_generic.Reader(
filename= bathy_file,
name="bathy",
proj4='+proj=latlong'
)
#%% Backward simulations of 5 days in each days of a given month
#if year == '2018' and mois == 'Apr' and source == 'ras_laffan' and date <= 3 :
#continue
#if year == '2017' and mois == 'Oct' and source == 'umm_al_houl' and date == 25 :
#continue
o = OpenOil(loglevel=20, weathering_model='noaa')
o.add_reader([reader_mercator, reader_wind, reader_waves])
o.set_config('general:coastline_action', 'stranding')
o.set_config('environment:constant:sea_water_temperature', temp)
o.set_config('environment:constant:sea_water_salinity', 40)
# Seeding some oil particles on
oiltype= 'QATAR MARINE' #'ARABIAN HEAVY' 'QATAR MARINE, OIL & GAS' 'QATAR MARINE, PHILLIPS' 'QATAR MARINE'
start_time=datetime(year_int,num,date) #2020 ou 2019
time_set = timedelta(hours=24)
if mois == 'Dec' and date == 31 :
time_set = timedelta(hours=23)
o.seed_from_shapefile( path, number=5*x, layername=None, #de base 54 et pas 16
featurenum= None, time=start_time+time_set, oil_type=oiltype) #Time begin the next day at midnight
# Adjusting some configuration
o.set_config('processes:dispersion', True)
o.set_config('processes:evaporation', True)
o.set_config('processes:emulsification', True)
o.set_config('drift:vertical_mixing', True)
o.set_config('vertical_mixing:timestep', 2)
# Running model
o.run(steps=5*24*4, time_step=-900, time_step_output=900, outfile=out + f"out_{mois2}_{date}.nc")
# Print and plot results (additionnal)
#o.plot_oil_budget()
#o.plot(fast=False, filename= out + f"out_{mois2}_{date}.png", show=False)
#o.animation(fast=True)
#%% Give combinations station/month/year assessed
year = sys.argv[1] #(2016, 2017, 2018, 2019, 2020)
year_int = int(year)
#list_source = ['ras_laffan', 'abu_fontas', 'umm_al_houl', 'ras_laffan_port']
list_source = ['ras_laffan_port']
list_mois = ['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
#list_mois = ['Sep','Oct','Nov','Dec']
for source in list_source :
for mois in list_mois :
a = {'Jan': 'january', 'Feb': 'february', 'Mar': 'march', 'Apr': 'april', 'May': 'may', 'Jun': 'june', 'Jul': 'july', 'Aug': 'august', 'Sep': 'september', 'Oct': 'october', 'Nov': 'november', 'Dec': 'december'}
mois2 = a[mois]
print(f'The month is {abbr_to_num[mois]:02d}')
OpenOil_run(source, mois, year, basedir + f"Output_backward/{year}/{source}/{mois2}/")