Table 15.

Recent studies on air pollution forecasting using three dimensional model.

Method	Pollutant	Country	Inputs	Ref.
WRF-Chem	PM10	Poland	Meteorological data, emission data	[94]
Models-3/CMAQ	O3	United States	Meteorological information, emission rates from sources	[27]
CMAQ-MOS	PM10, NO2	China	Wind field (U, V), temperature field (Ts), relative humidity (RH)	[65]
CMAQ-ANNs	PM10, SO2	China	Wind field (U, V), temperature field (Ts), relative humidity (RH), concentrations of PM2.5, PM10, SO2, NO2, O3	[65]
WRF-ADMS	Perfluoromethylcyclohexane	Tunis	Initial and boundary conditions, topography, land use and soil data, exit diameter, release point height, flow rate, temperature, hourly averaged meteorological data	[83]
Coupled WRF-SFIRE with WRF-Chem	Fire somke	United States	Fuel categories, FINN emission factors,	[95]
CALPUFF-WRF	SO2	Sultan	land use categories, terrain elevations, surface and upper air meteorological observations or meteorological fields	[85]
WRF-Chem	O3	United States	No detailed description	[92]
WRF/Chem-MADRID	O3, PM2.5	United States	No detailed description	[93]
CALPUFF	Total suspended particulate (TSP)	Israel	Temperature, relative humidity, barometric pressure, 10 min average wind speed and direction, cloud cover, topographic data	[84]
AERMOD	Total suspended particulate (TSP)	Israel	Meteorological data (Temperature, relative humidity, barometric pressure, 10 min average wind speed and direction) from two site, cloud cover, topographic data	[84]