10), Sulphur Dioxide (SO2), and Nitrogen Dioxide (NOx) absorptions have become a high environmental importance. Urban or semi-urban locations in study area like Ghatsila, Surda, Adityapur, and Mosaboni have more contribution in point source of pollution. It is necessary to predict the effective areal distribution of pollution base. In the present study, air quality index has been calculated to predict the air quality status based on health risk level. Prediction of pollution sources and indexing is possible in remote areas with the combination of statistical and GIS tool. From the analysis, it is obvious that Adityapur is falling in high-risk zone in a risk scale of 10. However, the maximum area is falling in low risk (1-3) zone and some locations are falling in moderate (4-6) risk zone. This study evaluates the overall environmental quality of the study area.
">Air pollution is a major concern in industrial, urban, and semi-urban locations. Health problem are associated with air quality. Monitoring of all components of air pollution like Particulate Matter (PM10), Sulphur Dioxide (SO2), and Nitrogen Dioxide (NOx) absorptions have become a high environmental importance. Urban or semi-urban locations in study area like Ghatsila, Surda, Adityapur, and Mosaboni have more contribution in point source of pollution. It is necessary to predict the effective areal distribution of pollution base. In the present study, air quality index has been calculated to predict the air quality status based on health risk level. Prediction of pollution sources and indexing is possible in remote areas with the combination of statistical and GIS tool. From the analysis, it is obvious that Adityapur is falling in high-risk zone in a risk scale of 10. However, the maximum area is falling in low risk (1-3) zone and some locations are falling in moderate (4-6) risk zone. This study evaluates the overall environmental quality of the study area.