Literature DB >> 30184520

Chemical source profiles of urban fugitive dust PM2.5 samples from 21 cities across China.

Jian Sun1, Zhenxing Shen2, Leiming Zhang3, Yali Lei4, Xuesong Gong4, Qian Zhang4, Tian Zhang4, Hongmei Xu4, Song Cui5, Qiyuan Wang6, Junji Cao6, Jun Tao7, Ningning Zhang6, Renjian Zhang8.   

Abstract

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 4.2-16.4% 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.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chemical profiles; Source identification; Urban fugitive dust

Year:  2018        PMID: 30184520     DOI: 10.1016/j.scitotenv.2018.08.374

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Acid-extractable heavy metals in PM2.5 over Xi'an, China: seasonal distribution and meteorological influence.

Authors:  Pingping Liu; Yiling Zhang; Tiantian Wu; Zhenxing Shen; Hongmei Xu
Journal:  Environ Sci Pollut Res Int       Date:  2019-11-13       Impact factor: 4.223

2.  Occurrence, source apportionment, and potential human health risks of metal(loid)s and PAHs in dusts from driving school campuses in an urban area of Henan, China.

Authors:  Yinan Chen; Jianhua Ma; Haijing Duan; Changhong Miao
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-14       Impact factor: 4.223

3.  Determination of polychlorinated biphenyls in honeybee, pollen, and honey samples from urban and semi-urban areas in Turkey.

Authors:  Mehmet Ferhat Sari; Emine Gurkan Ayyildiz; Fatma Esen
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-12       Impact factor: 4.223

4.  Spatio⁻Temporal Relationship and Evolvement of Socioeconomic Factors and PM2.5 in China During 1998⁻2016.

Authors:  Yi Yang; Jie Li; Guobin Zhu; Qiangqiang Yuan
Journal:  Int J Environ Res Public Health       Date:  2019-03-30       Impact factor: 3.390

5.  A UAV-Based Air Quality Evaluation Method for Determining Fugitive Emissions from a Quarry during the Railroad Life Cycle.

Authors:  Min-Kyeong Kim; Yelim Jang; Jaeseok Heo; Duckshin Park
Journal:  Sensors (Basel)       Date:  2021-05-05       Impact factor: 3.576

  5 in total

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