Spatiotemporal Variations in Black Carbon Aerosol Concentration and Its Correlation with Meteorological Parameters and Other Pollutants in India

Authors

  • Vivek Kumar India Meteorological Department (IMD), Ministry of Earth Sciences, New Delhi, India
  • P. C. S. Devara Centre of Excellence in Ocean-Atmospheric Science and Technology (ACOAST) & Environmental Science and Health (ACESH), Amity University Haryana (AUH), Gurugram, India
  • Vijay Kumar Soni India Meteorological Department (IMD), Ministry of Earth Sciences, New Delhi, India

DOI:

https://doi.org/10.54302/cj91dh35

Abstract

BC (Black Carbon), a significant contributor to particulate matter and air pollution, forms through incomplete combustion and exerts significant impact on regional atmospheric environment and human health. The evaluation of BC aerosols and co-emitted pollutants is of immense interest to develop an efficient mitigation strategy. This paper investigates the spatial and temporal relationships among key air pollutants, including PM10, PM2.5, BC, CO, NO, NO2, NOx, SO2, Ozone, and benzene, across seven monitoring stations in India from 2018 to 2021. Seasonal variations underscore the impact of changing emission patterns and meteorological conditions on air quality. This analysis delves into atmospheric boundary layer dynamics and ventilation coefficients, emphasizing the need for understanding local atmospheric conditions for effective pollution control. The findings provide valuable insights for policymakers and environmental researchers, suggesting the importance of season-specific strategies to address air pollution and its health and environmental consequences. This research contributes to a deeper understanding of urban air pollution dynamics and offers guidance for targeted interventions to improve air quality and public health.

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Published

2026-01-01

How to Cite

[1]
“Spatiotemporal Variations in Black Carbon Aerosol Concentration and Its Correlation with Meteorological Parameters and Other Pollutants in India”, MAUSAM, vol. 77, no. 1, pp. 219–234, Jan. 2026, doi: 10.54302/cj91dh35.

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