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Use of Simulated and Observed Meteorology for Air Quality Modeling and Source Ranking for an Industrial Region

Author

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  • Awkash Kumar

    (Environmental Science and Engineering Department, Indian Institute of Technology, Bombay, Mumbai 400 076, Maharashtra, India
    SAGE, Sustainable Approach for Green Environment, Powai, Mumbai 400 076, Maharashtra, India)

  • Anil Kumar Dikshit

    (Environmental Science and Engineering Department, Indian Institute of Technology, Bombay, Mumbai 400 076, Maharashtra, India)

  • Rashmi S. Patil

    (Environmental Science and Engineering Department, Indian Institute of Technology, Bombay, Mumbai 400 076, Maharashtra, India)

Abstract

The Gaussian-based dispersion model American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) is being used to predict concentration for air quality management in several countries. A study was conducted for an industrial area, Chembur of Mumbai city in India, to assess the agreement of observed surface meteorology and weather research and forecasting (WRF) output through AERMOD with ground-level NO x and PM 10 concentrations. The model was run with both meteorology and emission inventory. When results were compared, it was observed that the air quality predictions were better with the use of WRF output data for a model run than with the observed meteorological data. This study showed that the onsite meteorological data can be generated by WRF which saves resources and time, and it could be a good option in low-middle income countries (LIMC) where meteorological stations are not available. Also, this study quantifies the source contribution in the ambient air quality for the region. NO x and PM 10 emission loads were always observed to be high from the industries but NO x concentration was high from vehicular sources and PM 10 concentration was high from industrial sources in ambient concentration. This methodology can help the regulatory authorities to develop control strategies for air quality management in LIMC.

Suggested Citation

  • Awkash Kumar & Anil Kumar Dikshit & Rashmi S. Patil, 2021. "Use of Simulated and Observed Meteorology for Air Quality Modeling and Source Ranking for an Industrial Region," Sustainability, MDPI, vol. 13(8), pages 1-15, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:8:p:4276-:d:534641
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    References listed on IDEAS

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    1. Huff, Gregg & Angeles, Luis, 2011. "Globalization, industrialization and urbanization in Pre-World War II Southeast Asia," Explorations in Economic History, Elsevier, vol. 48(1), pages 20-36, January.
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    Cited by:

    1. Yucheng He & Sanika Ravindra Nishandar & Rufus David Edwards & Marko Princevac, 2023. "Air Quality Modeling of Cooking Stove Emissions and Exposure Assessment in Rural Areas," Sustainability, MDPI, vol. 15(7), pages 1-14, March.

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