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利用 PMF 研究印度德里地区气溶胶(PM 和 PM )的季节特征及其来源解析:一项为期四年的研究。

Seasonal characteristics of aerosols (PM and PM) and their source apportionment using PMF: A four year study over Delhi, India.

机构信息

CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110 012, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

CSIR-National Physical Laboratory, Dr. K. S. Krishnan Road, New Delhi, 110 012, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.

出版信息

Environ Pollut. 2020 Jul;262:114337. doi: 10.1016/j.envpol.2020.114337. Epub 2020 Mar 10.

Abstract

The present study attempts to explore and compare the seasonal variability in chemical composition and contributions of different sources of fine and coarse fractions of aerosols (PM and PM) in Delhi, India from January 2013 to December 2016. The annual average concentrations of PM and PM were 131 ± 79 μg m (range: 17-417 μg m) and 238 ± 106 μg m (range: 34-537 μg m), respectively. PM and PM samples were chemically characterized to assess their chemical components [i.e. organic carbon (OC), elemental carbon (EC), water soluble inorganic ionic components (WSICs) and heavy and trace elements] and then used for estimation of enrichment factors (EFs) and applied positive matrix factorization (PMF5) model to evaluate their prominent sources on seasonal basis in Delhi. PMF identified eight major sources i.e. Secondary nitrate (SN), secondary sulphate (SS), vehicular emissions (VE), biomass burning (BB), soil dust (SD), fossil fuel combustion (FFC), sodium and magnesium salts (SMS) and industrial emissions (IE). Total carbon contributes ∼28% to the total PM concentration and 24% to the total PM concentration and followed the similar seasonality pattern. SN and SS followed opposite seasonal pattern, where SN was higher during colder seasons while SS was greater during warm seasons. The seasonal differences in VE contributions were not very striking as it prevails evidently most of year. Emissions from BB is one of the major sources in Delhi with larger contribution during winter and post monsoon seasons due to stable meteorological conditions and aggrandized biomass burning (agriculture residue burning in and around the regions; mainly Punjab and Haryana) and domestic heating during the season. Conditional Bivariate Probability Function (CBPF) plots revealed that the maximum concentrations of PM and PM were carried by north westerly winds (north-western Indo Gangetic Plains of India).

摘要

本研究试图探索和比较 2013 年 1 月至 2016 年 12 月印度德里地区细颗粒物(PM)和粗颗粒物(PM)中不同来源气溶胶化学组成和贡献的季节性变化。PM 和 PM 的年均浓度分别为 131±79μg m(范围:17-417μg m)和 238±106μg m(范围:34-537μg m)。对 PM 和 PM 样品进行了化学特征分析,以评估其化学组分[即有机碳(OC)、元素碳(EC)、水溶性无机离子成分(WSICs)和重金属及微量元素],然后用于估算富集因子(EF)并应用正定矩阵因子分解(PMF5)模型,评估其在德里地区的主要来源的季节性变化。PMF 识别出 8 个主要来源,即二次硝酸盐(SN)、二次硫酸盐(SS)、机动车排放(VE)、生物质燃烧(BB)、土壤尘(SD)、化石燃料燃烧(FFC)、钠和镁盐(SMS)和工业排放(IE)。总碳对 PM 浓度的贡献率约为 28%,对 PM 浓度的贡献率约为 24%,且具有相似的季节性变化模式。SN 和 SS 的季节性变化模式相反,其中 SN 在较冷季节较高,而 SS 在较暖季节较高。VE 贡献的季节性差异并不十分显著,因为它在一年中的大部分时间都很明显。由于稳定的气象条件和生物质燃烧的加剧(该地区及周边地区的农业残留物燃烧;主要是旁遮普邦和哈里亚纳邦)以及该季节的家庭取暖,BB 排放是德里的主要来源之一,冬季和后季风季节的贡献较大。条件二元概率函数(CBPF)图显示,PM 和 PM 的最大浓度由西北风携带(印度西北部恒河平原)。

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