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.

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An Analysis of Air Quality Status in Some Part of Singhbhum Shear Zone, Jharkhand

Krishnendu Banerjee*, Manish Kumar Jain**, Surajit Panda***, Sarvesh Chandra Katiyar****
*-*** Department of Environmental Science & Engineering, Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India.
**** Scientist, Ministry of Environment, Forest and Climate Change, Dehradun Regional office, Dehradun, Uttarakhand, India.
Periodicity:June - August'2019
DOI : https://doi.org/10.26634/jce.9.3.15347

Abstract

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.

Keywords

PM10, AQI, EIA, RH, NAAQS

How to Cite this Article?

Banerjee, K., Jain, M. K., Panda, S., & Katiyar, S. C. (2019). An Analysis of Air Quality Status in Some Part of Singhbhum Shear Zone, Jharkhand. i-manager's Journal on Civil Engineering, 9(3), 35-41. https://doi.org/10.26634/jce.9.3.15347

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