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中国北京夏季和冬季大气颗粒物化学成分的比较。

Comparison of chemical compositions in air particulate matter during summer and winter in Beijing, China.

作者信息

Chen Rui, Cheng Jing, Lv Jungang, Wu Lijun, Wu Jing

机构信息

Department of Municipal and Environmental Engineering, School of Civil Engineering, Beijing Jiaotong University, Beijing, 100044, China.

Procuratoral Technology and Information Research Center, Supreme People's Procuratorate, Beijing, 100040, China.

出版信息

Environ Geochem Health. 2017 Aug;39(4):913-921. doi: 10.1007/s10653-016-9862-9. Epub 2016 Aug 8.

Abstract

The development of industry in Beijing, the capital of China, particularly in last decades, has caused severe environmental pollution including particulate matter (PM), dust-haze, and photochemical smog, which has already caused considerable harm to local ecological environment. Thus, in this study, air particle samples were continuously collected in August and December, 2014. And elements (Si, Al, V, Cr, Mn, Fe, Ni, Cu, Zn, Mo, Cd, Ba, Pb and Ti) and ions ([Formula: see text], [Formula: see text], F, Cl, Na, K, Mg, Ca and [Formula: see text]) were analyzed by inductively coupled plasma mass spectrometer and ion chromatography. According to seasonal changes, discuss the various pollution situations in order to find possible particulate matter sources and then propose appropriate control strategies to local government. The results indicated serious PM and metallic pollution in some sampling days, especially in December. Chemical Mass Balance model revealed central heating activities, road dust and vehicles contribute as main sources, account for 5.84-32.05 % differently to the summer and winter air pollution in 2014.

摘要

中国首都北京的工业发展,尤其是在过去几十年里,已经造成了严重的环境污染,包括颗粒物(PM)、雾霾和光化学烟雾,这已经对当地生态环境造成了相当大的危害。因此,在本研究中,于2014年8月和12月连续采集了空气颗粒物样本。并通过电感耦合等离子体质谱仪和离子色谱法分析了元素(硅、铝、钒、铬、锰、铁、镍、铜、锌、钼、镉、钡、铅和钛)和离子([化学式:见原文]、[化学式:见原文]、氟、氯、钠、钾、镁、钙和[化学式:见原文])。根据季节变化,探讨各种污染情况,以找出可能的颗粒物来源,然后向当地政府提出适当的控制策略。结果表明,在一些采样日,尤其是12月,存在严重的颗粒物和金属污染。化学质量平衡模型显示,集中供暖活动、道路扬尘和车辆是主要污染源,对2014年夏季和冬季空气污染的贡献率分别为5.84%-32.05%。

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