阿格拉世界遗产地大小分离颗粒物的化学特征和健康风险评估

Rahul Tiwari , Akshay Botle , Sartaj Ahmad Bhat , Prabal P. Singh , Ajay Taneja
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引用次数: 3

摘要

在印度北方邦,对两个交通路口的空气质量进行了评估,分别代表公路污染的GLA和农村污染的Iradatnagar。本研究旨在确定大小分离PM的浓度与金属的特征在不同的交通路口,即(阿格拉和马图拉)。在本研究中,在2018年12月至1月的研究期间,借助Cascade Sioutas冲击器测量了PM2.5-1.0和PM1.0-0.5。PM2.5-1.0的粒径分数在GLA最高(350.92µg/m3),其次是Iradatnagar(329.12µg/m3),而PM1.0-0.5的粒径分数在Iradatnagar的平均值(341.01µg/m3)高于GLA(313.47µg/m3)。与国家环境空气质量标准(60µg/m3)(印度NAAQS)相比,所有采样点的PM2.5平均浓度高出7-8倍。随后用ICP-OES测定了12种金属(Al, Ba, Ca, Cd, Cr, Cu, Fe, Mg, Mn, Ni, Pb和Zn)。铝、钡、钙和镁的浓度高于其他金属。通过主成分分析(PCA)对金属源进行了解析,结果表明,汽车尾气排放对铝、钙、铬、铜、铁和镍的金属负荷影响较大,占总方差的33.6%。PM2.5-1.0的生物利用度较高(5.12-6.46%),PM1.0-0.5的生物利用度最低(4.56-7.055%)。在健康风险评估方面,PM1.0-0.5粒径分数的HQs平均值较高。PM2.5-1.0和PM1.0-0.5分数的GLA HQ值分别为7.95和9.50。总的来说,观察到的总部值远远超过了可接受的水平。成人和儿童的致癌危险因素平均值(1 × 10-6)分别较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Chemical characterization and health risk assessement of size segreated PM at world heritage site, Agra

Chemical characterization and health risk assessement of size segreated PM at world heritage site, Agra

Air quality at two traffic junctions representing GLA indicating pollution at highway and Iradatnagar indicating rural pollution was evaluated in Uttar Pradesh, India. The present study aimed to determine the concentration of size-segregated PM with the characterization of metals at different traffic junctions i.e. (Agra and Mathura). In the study, PM2.5–1.0 and PM1.0–0.5 were measured with the help of Cascade Sioutas Impactor during the study period December to January 2018. The size fraction of PM2.5–1.0 was found to be higher at GLA (350.92 µg/m3) followed by Iradatnagar (329.12 µg/m3), whereas the average value of size fraction of PM1.0–0.5 was found higher at Iradatnagar (341.01 µg/m3) in comparison with GLA (313.47 µg/m3) respectively. The average PM2.5 concentration in all the sampling sites was found to be 7–8 times higher when compared with the National Ambient Air Quality Standards (60 µg/m3) (NAAQS, India). Twelve metals viz. (Al, Ba, Ca, Cd, Cr, Cu, Fe, Mg, Mn, Ni, Pb, and Zn) were subsequently determined by ICP-OES. Al, Ba, Ca, and Mg, were found in higher concentrations in comparison with other metals. Source apportionment of metals was done by PCA (Principal Component Analysis) which shows that metal loading of Al, Ca, Cr, Cu, Fe, and Ni was influenced by vehicular emission with 33.6% constitutes of the total variance. Higher bioavaiablity was observed for PM2.5–1.0 (5.12–6.46%) and least was found for PM1.0–0.5 (4.56–7.055%). For health risk estimation, the average value of HQs was found higher for PM1.0–0.5 size fraction. HQ values were recorded higher for GLA (7.95) for PM2.5–1.0 and (9.50) for PM1.0–0.5 fraction. Overall, the observed HQs values far exceeded the acceptable level. Average value (1 × 106) of carcinogenic risk factor was found higher for an adult and child respectively.

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