2015
DOI: 10.1016/j.atmosres.2015.04.017
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Source apportionment of airborne particulates through receptor modeling: Indian scenario

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Cited by 196 publications
(96 citation statements)
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“…Zn has different range of enrichment factor with the mean of 164.46 (Fig. 4 right axis), which is associated with activities mainly originated from anthropogenic sources such as traffic and industrial emission (Banerjee et al, 2015). Previous study by Zhang et al (2015) collected 24-h PM 2.5 samples every sixth day in Wuhan from August 2012 to July 2013, and the results about the EFs are traceable.…”
Section: Enrichment Factormentioning
confidence: 99%
See 1 more Smart Citation
“…Zn has different range of enrichment factor with the mean of 164.46 (Fig. 4 right axis), which is associated with activities mainly originated from anthropogenic sources such as traffic and industrial emission (Banerjee et al, 2015). Previous study by Zhang et al (2015) collected 24-h PM 2.5 samples every sixth day in Wuhan from August 2012 to July 2013, and the results about the EFs are traceable.…”
Section: Enrichment Factormentioning
confidence: 99%
“…The characteristics of PM sources have been widely investigated in previous studies all around world, including China, as reviewed by (Karagulian et al, 2015), and several methods of receptor modeling have been used for identification and apportionment of PM (Viana et al, 2008). Enrichment Factor (EF) and Positive Matrix Factorization (PMF) are widely used because they only require observation data at the receptor site other than detailed prior knowledge of the sources and source profiles, and tools to perform these analyses are widely available (Schauer, et al, 2006;Yu et al, 2013;Gao et al, 2014;Banerjee et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Aerosols are also associated with nutrient recycling and governing atmospheric chemistry (Kanakidou et al, 2018). Aerosol interaction with radiation mainly constitutes its radiative forcing of climate change (Bellouin et al, 2005;Bond et al, 2013) while it also modifies the climate by means of cloud formation processes (Seinfeld et al, 2016). Aerosol-radiation interaction necessitates understanding of spectrally varying aerosol optical properties, which are associated with particle size distribution, chemical composition, morphology, and mixing states.…”
mentioning
confidence: 99%
“…Significant uncertainties in estimating airborne particulate regional heterogeneity and its subsequent interactions with earth system have recently engrossed diverse groups of researchers to undergo extensive investigations (BANERJEE et al 2015). The approaches were mainly towards exploring dust radiative forcing, modifications in cloud microphysical properties, understanding roles in mediating physical and biogeochemical exchanges, ocean fertilization, food security and, in certain cases, more specifically on initiating adverse health impacts (BANERJEE and SRI-VASTAVA 2011;KUMAR et al 2015a, b).…”
mentioning
confidence: 99%