Air pollution is a major concern in industrial, urban and semi-urban locations. Health problem are associate with air quality. Monitoring of all components of air pollution like particulate matter (PM10), sulphur dioxide (SO2), and nitrogen dioxide (NOx) absorptions becomes a high environmental importance.Urban or semi-urban locations in study area like Ghatsila, Surda, Adityapur, 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 zoneina risk scale of 10. However, the maximum area is falling in low risk (1-3) zone and some locations are falling in mode rate (4-6) risk zone. This study evaluate the overall environmental quality of the study area.