Chemical source profiles of fine particles for five different sources in Delhi.
Chemical source profiles of fine particles for five different sources in Delhi.
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DOI：
10.1016/j.chemosphere.2021.129913
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发表时间：
2021-07
期刊：
影响因子：
8.8
通讯作者：
S. Hama;Prashant Kumar;M. S. Alam;D. Rooney;W. Bloss;Zongbo Shi;R. Harrison;L. Crilley;
中科院分区：
文献类型：
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作者：
S. Hama;Prashant Kumar;M. S. Alam;D. Rooney;W. Bloss;Zongbo Shi;R. Harrison;L. Crilley;
建筑和燃烧作物残留物、路边和城市固体废物等来源的排放量增加，导致印度许多城市大气细颗粒物（≤ 2.5 μm; PM 2.5）浓度迅速增加。分析它们的化学特征对于受体模型准确估计不同来源的贡献是重要的。我们已经制定了五个重要的污染物来源的化学源配置文件建设（CON），铺设道路灰尘（PRD），路边生物质燃烧（RBB），固体废物燃烧（SWB），和农作物残留物燃烧（CPB）-在三个密集的运动（冬季，夏季和季风后）在德里和周围。我们获得了源剖面的化学特征，包括含碳物质，如有机碳（OC）和元素碳（EC），水溶性离子（F−、Cl−、NO 2−、NO 3−、SO 4 2−、PO 4 3−、Na+和NH 4+）和元素（Mg、Al、Si、P、S、Cl、K、Ca、Ti、V、Cr、Mn、Fe、Co、Ni、Cu、Zn、As、Br、Rb、Sr、Ba和Pb）。CON以K、Si、Fe、Al、Ca等元素含量最高。珠江三角洲也以地壳元素为主，占分析总量的91%。RBB、SWB和CPB剖面均以有机物为主，分别占PM2.5总量的94%、86.2%和86%。从所调查的来源发展的PM排放概况数据库可用于协助源解析研究，以准确量化空气污染的原因，从而帮助政府机构制定相关的对策。
Increasing emissions from sources such as construction and burning of biomass from crop residues, roadside and municipal solid waste have led to a rapid increase in the atmospheric concentrations of fine particulate matter (≤ 2.5 μm; PM 2.5) over many Indian cities. Analyses of their chemical profiles are important for receptor models to accurately estimate the contributions from different sources. We have developed chemical source profiles for five important pollutant sources-construction (CON), paved road dust (PRD), roadside biomass burning (RBB), solid waste burning (SWB), and crop residue burning (CPB)-during three intensive campaigns (winter, summer and post-monsoon) in and around Delhi. We obtained chemical characterisations of source profiles incorporating carbonaceous material such as organic carbon (OC) and elemental carbon (EC), water-soluble ions (F−, Cl−, NO 2−, NO 3−, SO 4 2−, PO 4 3−, Na+ and NH 4+), and elements (Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, As, Br, Rb, Sr, Ba, and Pb). CON was dominated by the most abundant elements, K, Si, Fe, Al, and Ca. PRD was also dominated by crustal elements, accounting for 91% of the total analysed elements. RBB, SWB and CPB profiles were dominated by organic matter, which accounted for 94%, 86.2% and 86% of the total PM 2.5, respectively. The database of PM emission profiles developed from the sources investigated can be used to assist source apportionment studies for accurate quantification of the causes of air pollution and hence assist governmental bodies in formulating relevant countermeasures.