Source apportionment of airborne particulates through receptor modeling: Indian scenario

被引:171
作者
Banerjee, Tirthankar [1 ]
Murari, Vishnu [1 ]
Kumar, Manish [1 ]
Raju, M. P. [2 ]
机构
[1] Banaras Hindu Univ, Inst Environm & Sustainable Dev, Varanasi 221005, Uttar Pradesh, India
[2] Indian Inst Trop Meteorol, Phys & Dynam Trop Cloud Grp, Pune, Maharashtra, India
关键词
Aerosol; Indo-Gangetic Plain; Particulate; Receptor model; Source apportionment; Tracers; POSITIVE MATRIX FACTORIZATION; PARTICLE-SIZE DISTRIBUTION; URBAN REGION; CHEMICAL-CHARACTERIZATION; SOURCE IDENTIFICATION; AMBIENT AIR; ELEMENTAL COMPOSITION; ATMOSPHERIC AEROSOLS; INDUSTRIAL SITES; SEASONAL-VARIATIONS;
D O I
10.1016/j.atmosres.2015.04.017
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Airborne particulate chemistry mostly governed by associated sources and apportionment of specific sources is extremely essential to delineate explicit control strategies. The present submission initially deals with the publications (1980s-2010s) of Indian origin which report regional heterogeneities of particulate concentrations with reference to associated species. Such meta-analyses clearly indicate the presence of reservoir of both primary and secondary aerosols in different geographical regions. Further, identification of specific signatory molecules for individual source category was also evaluated in terms of their scientific merit and repeatability. Source signatures mostly resemble international profile while, in selected cases lack appropriateness. In India, source apportionment (SA) of airborne particulates was initiated way back in 1985 through factor analysis, however, principal component analysis (PCA) shares a major proportion of applications (34%) followed by enrichment factor (EF, 27%), chemical mass balance (CMB, 15%) and positive matrix factorization (PMF, 9%). Mainstream SA analyses identify earth crust and road dust resuspensions (traced by Al, Ca, Fe, Na and Mg) as a principal source (6-73%) followed by vehicular emissions (traced by Fe, Cu, Pb, Cr, Ni, Mn, Ba and Zn; 5-65%), industrial emissions (traced by Co, Cr, Zn, V, Ni, Mn, Cd; 0-60%), fuel combustion (traced by K, NH4+, SO4-, As, Te, S, Mn; 4-42%), marine aerosols (traced by Na, Mg, K; 0-15%) and biomass/refuse burning (traced by Cd, V, K, Cr, As, TC, Na, K, NH4+, NO3-, OC; 1-42%). In most of the cases, temporal variations of individual source contribution for a specific geographic region exhibit radical heterogeneity possibly due to unscientific orientation of individual tracers for specific source and well exaggerated by methodological weakness, inappropriate sample size, implications of secondary aerosols and inadequate emission inventories. Conclusively, a number of challenging issues and specific recommendations have been included which need to be considered for a scientific apportionment of particulate sources in different geographical regions of India. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:167 / 187
页数:21
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