4.6 Article

Mass, composition, and sources of particulate matter in residential and traffic sites of an urban environment

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ENVIRONMENTAL GEOCHEMISTRY AND HEALTH
卷 45, 期 5, 页码 2031-2050

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SPRINGER
DOI: 10.1007/s10653-022-01327-4

关键词

Particulate matter; Characterization; Seasonal variation; Source apportionment; Receptor modeling

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This study aims to assess the mass, composition, and sources of PM10 and PM2.5 in Vellore city. Results showed that the traffic site had higher concentrations compared to the residential site. Elements with crustal origin dominated the composition, and SO42- accounted for the highest proportion of ions. Elemental carbon contributed more to PM mass in traffic sites than residential sites. Different sources identified include road dust, crustal material, secondary aerosol, traffic, and cooking.
Present study aims to assess the mass, composition, and sources of PM10 and PM2.5 (particulate matter having aerodynamic diameter less than or equal to 10 and 2.5 mu m aerodynamic diameter, respectively) in Vellore city. Seasonal samples collected in traffic and residential sites were analyzed for ions, elements, organic carbon (OC), and elemental carbon (EC). Source apportionment of PM10 and PM2.5 is carried out using Chemical Mass Balance, Unmix, Positive Matrix Factorization and Principal Component Analysis receptor models. Results showed that traffic site had higher annual concentration (PM2.5 = 62 +/- 32 and PM10 = 112 +/- 23 mu g m(-3)) when compared to residential site (PM2.5 = 54 +/- 22 and PM10 = 98 +/- 20 mu g m(-3)). Al, Ca, Fe, K, and Mg known to have crustal origin dominated the element composition irrespective of PM size and sampling site. Among ions, SO42- accounted highest in both sites with an average of 70 and 60% to PM2.5 and PM10 ionic mass. Elemental carbon contribution to PM mass was found highest in traffic site (PM2.5 = 17 to 23% and PM10 = 8 to 10%) than residential site (PM2.5 = 9 to 17% and PM10 = 4 to 8%). Elements, ions, OC, and EC accounted 12, 28, 34, and 16% of PM2.5 mass and 12, 21, 20, and 8% of PM10 mass, respectively. Different sources identified by the receptor models are resuspended road dust, crustal material, secondary aerosol, traffic, non-exhaust vehicular emissions, secondary nitrate, construction, cooking, and biomass burning. Since Vellore is aspiring to be a smart city, this study can help the policymakers in effectively curbing PM.

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