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首页> 外文期刊>Environmental Science & Technology >Source-Specific Health Risk Analysis on Participate Trace Elements: Coal Combustion and Traffic Emission As Major Contributors in Wintertime Beijing
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Source-Specific Health Risk Analysis on Participate Trace Elements: Coal Combustion and Traffic Emission As Major Contributors in Wintertime Beijing

机译:特定来源的特定来源健康风险分析:冬季北京主要贡献者为煤炭燃烧和交通排放

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摘要

Source apportionment studies of particulate matter (PM) link chemical composition to emission sources, while health risk analyses link health outcomes and chemical composition. There are limited studies to link emission sources and health risks from ambient measurements. We show such an attempt for particulate trace elements. Elements in PM2.5 were measured in wintertime Beijing, and the total concentrations of 14 trace elements were 1.3-7.3 times higher during severe pollution days than during low pollution days. Fe, Zn, and Pb were the most abundant elements independent of the PM pollution levels. Chemical fractionation shows that Pb, Mn, Cd, As, Sr, Co, V, Cu, and Ni were present mainly in the bioavailable fraction. Positive matrix factorization was used to resolve the sources of particulate trace elements into dust, oil combustion, coal combustion, and traffic-related emissions. Traffic-related emission contributed 65% of total mass of the measured elements during low pollution days. However, coal combustion dominated (58%) during severe pollution days. By combining element-specific health risk analyses and source apportionment results, we conclude that traffic-related emission dominates the health risks by particulate trace elements during low pollution days, while coal combustion becomes equally or even more important during moderate and severe pollution days.
机译:颗粒物(PM)的源分配研究将化学成分与排放源联系起来,而健康风险分析则将健康结果与化学成分联系起来。将排放源与环境测量中的健康风险联系起来的研究很少。我们展示了对微粒痕量元素的这种尝试。在北京冬季测量PM2.5中的元素,严重污染天的14种微量元素的总含量比低污染天高1.3-7.3倍。 Fe,Zn和Pb是最丰富的元素,与PM污染水平无关。化学分馏显示,Pb,Mn,Cd,As,Sr,Co,V,Cu和Ni主要存在于生物利用级分中。使用正矩阵分解将微粒痕量元素的来源分解为粉尘,燃油燃烧,燃煤和交通相关排放。在低污染天,与交通有关的排放占被测元素总质量的65%。但是,在严重污染天中,煤炭燃烧占主导地位(58%)。通过结合特定元素的健康风险分析和源分配结果,我们得出结论,与交通有关的排放在低污染天主要是由微粒痕量元素引起的健康风险,而在中度和重度污染天燃煤同等甚至更为重要。

著录项

  • 来源
    《Environmental Science & Technology》 |2018年第19期|10967-10974|共8页
  • 作者单位

    Chinese Acad Sci, Inst Earth & Environm, Key Lab Aerosol Chem & Phys, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China;

    Chinese Acad Sci, Inst Earth & Environm, Key Lab Aerosol Chem & Phys, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China;

    COE Lab Thermofisher Sci Technol, Shanghai 201206, Peoples R China;

    Chinese Acad Sci, Inst Earth & Environm, Key Lab Aerosol Chem & Phys, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China;

    Univ Macau, Fac Sci & Technol, Dept Civil & Environm Engn, Taipa 999078, Macao, Peoples R China;

    Peking Univ, Coll Environm Sci & Engn, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100871, Peoples R China;

    Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China;

    Chinese Acad Sci, Inst Earth & Environm, Key Lab Aerosol Chem & Phys, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China;

    Chinese Acad Sci, Inst Earth & Environm, Key Lab Aerosol Chem & Phys, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing 100029, Peoples R China;

    Chinese Acad Sci, Inst Atmospher Phys, RCE TEA, Beijing 100029, Peoples R China;

    Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland;

    Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland;

    Natl Univ Ireland Galway, Sch Phys, Univ Rd, Galway H91 CF50, Ireland;

    Chinese Acad Sci, Inst Earth & Environm, Key Lab Aerosol Chem & Phys, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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