Atmospheric dispersion model to predict the impact of gaseous pollutant in an industrial and mining cluster

Abstract

Dispersion modeling approach was applied for the determination of SO2 and NO2 pollution in the ambient air. The model performance has been evaluated by comparing the measured and predicted concentrations of SO2 and NO2. This has been tested to measure the air quality and predicted incremental value of pollutant’s concentrations by using the data available from the industrial and mining cluster for a period of one year covering from March’ 2015 to February’ 2016 where more accuracy and specific result oriented is concerned. The maximum cumulative predicted value of SO2 is 6.99 µg/m3 and NO2 is 15.98 µg/m3. It has been found that the overall resultant concentrations are far below the prescribed standard in all stations. As revealed from the present research that, there is no such pollution impact to the nearby villages where industrial and mining activities are concerned in the study area. This paper can be used as better reference for further and future research in the area, as there is no such study has been carried out before in the specific area.

Keywords

• Ambient air
• Atmospheric dispersion model (AERMOD)
• Industrial and mining
• Nitrogen dioxide (NO2)
• Sulfur dioxide (SO2)