Decoding temporal patterns and trends of PM10 pollution over Delhi: a multi-year analysis (2015–2022)
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s10661-024-12638-7.pdf
Reference79 articles.
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2. Alang, A. K., & Aggarwal, S. G. (2022). Five-year ground-based observation trend of PM2.5 and PM10, and comparison with MERRA-2 data over India. Asian Journal of Atmospheric Environment, 16(3), 12–33. https://doi.org/10.5572/ajae.2022.039
3. Althuwaynee, O. F., Balogun, A., & Al Madhoun, W. (2020). Air pollution hazard assessment using decision tree algorithms and bivariate probability cluster polar function: Evaluating inter-correlation clusters of PM10 and other air pollutants. Giscience & Remote Sensing, 57(2), 207–226. https://doi.org/10.1080/15481603.2020.1712064
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5. Banoo, R., Sharma, S. K., Gadi, R., Gupta, S., & Mandal, T. K. (2020). Seasonal variation of carbonaceous species of PM10 over urban sites of National Capital Region of India. Aerosol Science and Engineering, 4(2), 111–123. https://doi.org/10.1007/s41810-020-00058-2
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