中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China

文献类型:期刊论文

作者Sun, Jian1,6; Shen, Zhenxing1,6; Zhang, Leiming5; Lei, Yali6; Gong, Xuesong6; Zhang, Qian6; Zhang, Tian6; Xu, Hongmei6; Cui, Song4; Wang, Qiyuan1
刊名SCIENCE OF THE TOTAL ENVIRONMENT
出版日期2019-02-01
卷号649页码:1045-1053
关键词Urban fugitive dust Chemical profiles Source identification
ISSN号0048-9697
DOI10.1016/j.scitotenv.2018.08.374
通讯作者Shen, Zhenxing(zxshen@mail.xjtu.edu.cn)
英文摘要Urban fugitive (road and construction) dust PM2.5 samples were collected in 21 cities of seven regions in China. Seven water-soluble ions, eight sub-fractions of carbonaceous components, and 19 elements were determined to investigate the chemical profiles of urban fugitive dust. Among the analyzed chemical compositions and on regional average, the elemental compositions showed the highest proportion (12.5-28.9% in road dust (RD) and 13.1-38.0% in construction dust (CD)), followed by water-soluble ions (5.1-19.0% in RD and 42-16.4% in CD) and carbonaceous fractions (5.4-9.6% in RD and 4.9-9.3% in CD). Chemical compositions measured in CD were all slightly lower than those in RD although statistically insignificant (p > 0.05). Soil dust, which was estimated from Fe concentration, was proved to be the biggest contributor to urban fugitive dust PM2.5 mass. While, it showed a higher contribution in Northern China (71.5%) than in Southern China (52.1%). Higher enrichment factors were found for elemental S. Zn and Pb in RD than CD, reflecting stronger anthropogenic sources (i.e. vehicle exhaust) in RD. Low NO3-/SO42- and high SO42-/K+ ratios both indicated that fugitive dust was strongly influenced by stationary sources (e.g. coal combustion), and this influence was especially strong in Northern China. Coefficients of divergence proved that dust profiles within the same region were more similar than across regions, reflecting that urban fugitive dust was influenced more by local sources than long-range transport. (C) 2018 Elsevier B.V. All rights reserved.
WOS关键词FINE PARTICULATE MATTER ; SAN-JOAQUIN VALLEY ; SOURCE APPORTIONMENT ; ACE-ASIA ; NORTHERN CHINA ; ION CHEMISTRY ; LOESS PLATEAU ; HONG-KONG ; AEROSOL ; PM10
资助项目Chinese Ministry of Science and Technology[2013FY112700] ; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS[SKLLQG1616] ; Fundamental Research Funds for Central Universities of China[xkjc2015002]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000446076500099
出版者ELSEVIER SCIENCE BV
资助机构Chinese Ministry of Science and Technology ; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS ; Fundamental Research Funds for Central Universities of China
源URL[http://ir.ieecas.cn/handle/361006/14690]  
专题地球环境研究所_粉尘与环境研究室
通讯作者Shen, Zhenxing
作者单位1.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Key Lab Aerosol Chem & Phys, Xian 710049, Shaanxi, Peoples R China
2.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Reg Climate Environm Res Temperate East A, Beijing 100029, Peoples R China
3.Minist Environm Protect, South China Inst Environm Sci, Guangzhou, Guangdong, Peoples R China
4.Northeast Agr Univ, Sch Water Conservancy & Civil Engn, Int Joint Res Ctr Persistent Tox Pollutants, Harbin 150030, Heilongjiang, Peoples R China
5.Environm & Climate Change Canada, Sci & Technol Branch, Air Qual Res Div, Toronto, ON, Canada
6.Xi An Jiao Tong Univ, Dept Environm Sci & Engn, Xian 710049, Shaanxi, Peoples R China
推荐引用方式
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Sun, Jian,Shen, Zhenxing,Zhang, Leiming,et al. Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,649:1045-1053.
APA Sun, Jian.,Shen, Zhenxing.,Zhang, Leiming.,Lei, Yali.,Gong, Xuesong.,...&Zhang, Renjian.(2019).Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China.SCIENCE OF THE TOTAL ENVIRONMENT,649,1045-1053.
MLA Sun, Jian,et al."Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China".SCIENCE OF THE TOTAL ENVIRONMENT 649(2019):1045-1053.

入库方式: OAI收割

来源:地球环境研究所

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