Predicting The Concentration of Pollutants Chimney Outlet of Western Industries of Bandar Abbas in the Inversion Conditions

In the present study, to investigate the air pollution of the Persian Gulf Special Economic Zone in the west of Bandar Abbas, at first inversions which occurred between 2010 and 2020 were extracted using radio sound. Next, using the AERMOD model, the concentration of PM2.5 - 10, SO2, CO and O3 emissions from 60 chimneys for inversion days in a radius of 20 km was predicted. The results showed that the highest inversion was in January and February with 28 and 26 days per month and the lowest with 11 and 13 days in August and July, respectively. The lowest base of the inversion layer was related to January and February with 10 and 13 m, respectively, and the highest with 408 m was in September. The average annual inversions were 250.8 days per year, which 157.4 were radiation and 93.4 were subsidence. The AERMOD model showed that the concentrations of PM2.5, SO2 and O3 were higher than standard, but PM10 and CO were lower than standard. Southeast winds are the most important parameter in the distribution of pollutants, which causes the smoke column move to the northwest. Predicting the distribution of pollutants can be useful in formulating strategic management in environmental protection and sustainable development.