Identifying Size-Segregated Particulate Matter (PM2.5, PM10 and SPM) Sources in an Industrial Town of India

dc.contributor.author	Yadav A.K.; Sahoo S.K.; Kumar A.V.; Shirin S.; Jamal A.; Patra A.C.; Dubey J.S.; Thakur V.K.; Lenka P.; Singh S.; Jha V.; Tripathi R.M.
dc.date.accessioned	2025-05-23T11:17:44Z
dc.description.abstract	Singrauli coal fields are air polluted in an industrial town in India. The contribution of anthropogenic activities to increased particulate matter (PM) in the study area has been calculated. The size-segregated PM was collected in 2016 and 2017 and carried out for morphological and composition analysis. PCA (principal component analysis) and PMF (positive matrix factorization) were applied to quantify for identification and apportionment of sources. Based on the study, biomass burning and vehicular emission were the primary source of particulate matter; and PCA and PMF identify the contribution of biomass burning, vehicular emission, mining activity, resuspended dust, secondary inorganic aerosols, and traffic-related emission as the major sources of particulate matter in Singrauli coalfield. © 2023, The Author(s) under exclusive licence to Institute of Earth Environment, Chinese Academy Sciences.
dc.identifier.doi	https://doi.org/10.1007/s41810-023-00191-8
dc.identifier.uri	http://172.23.0.11:4000/handle/123456789/7754
dc.relation.ispartofseries	Aerosol Science and Engineering
dc.title	Identifying Size-Segregated Particulate Matter (PM2.5, PM10 and SPM) Sources in an Industrial Town of India

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