IEECAS OpenIR  > 黄土与第四纪地质国家重点实验室(2010~)
Pollution characteristics, spatial distribution, and source identification of heavy metals in road dust in a central eastern city in China: a comprehensive survey
Zhao, Guoyong1,2; Zhang, Ronglei1; Han, Yan1; Meng, Jianing1; Qiao, Qiang1; Li, Hetan1
Corresponding AuthorHan, Yan(hanyan@xynu.edu.cn)
2021-12-01
Source PublicationENVIRONMENTAL MONITORING AND ASSESSMENT
ISSN0167-6369
Volume193Issue:12Pages:13
AbstractRoad dust enriched with heavy metals (HMs) is detrimental to ecosystems and human health in urban environments. In this study, it is to explore the concentrations, spatial distribution, contaminated levels, and source identification of six HMs (lead (Pb), zinc (Zn), copper (Cu), cobalt (Co), chromium (Cr), and nickel (Ni)) based on 130 road dusts in Xinyang urban area. The results indicated that the contents of Pb, Zn, Cu, and Co were higher than the background values in more than 99% of the samples, and their average concentrations were 15.2, 9.2, 8.6, and 6.3 times the background value, respectively. The spatial distribution of high-value areas for Pb, Zn, Cu, Cr, and Ni was more similar, which was associated with traffic density near major roads and population and settlement patterns. Co was relatively different from the five elements, which was distributed in the areas of residence, commerce, and industry. Furthermore, the investigated HMs were clearly polluted, with Pb, Zn, Cu, and Co indicating high levels of contamination, while Cr and Ni were moderately polluted. The comprehensive pollution of the six HMs was mostly moderate to heavy in this study. Moreover, three sources of HMs designated by correlation analysis (CA) and principal component analysis (PCA) were mixed traffic emissions and industrial waste for Cu and Cr; automotive emissions for Pb, Ni, and Zn; and mixed domestic waste and industrial activities for Co, with contributions of 42.3%, 46.4%, and 11.3% via the principal component analysis-multiple linear regression (PCA-MLR) model. The multi-factor index for pollution assessment combined with source identification is extremely effective and practical for providing reliable data support and a theoretical reference for pollution monitoring and governance.
KeywordHeavy metals Road dust Pollution assessment Source identification Spatial distribution
DOI10.1007/s10661-021-09584-z
WOS KeywordXIAN 2ND RINGROAD ; STREET DUST ; RISK-ASSESSMENT ; SOURCE APPORTIONMENT ; FUNCTIONAL AREAS ; HUMAN EXPOSURE ; URBAN TOPSOIL ; CONTAMINATION ; SOIL ; MULTIVARIATE
Indexed BySCI ; SCI
Language英语
Funding Projectintercollegiate Key Scientific Research Projects of Henan Province[22A610012] ; Scientific Research Foundation of Graduate School of Xinyang Normal University[2020KYJJ07] ; Nanhu Scholars Program for Young Scholars of XYNU ; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS[SKLLQG2039] ; Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection[STKF-201928]
WOS Research AreaEnvironmental Sciences & Ecology
Funding Organizationintercollegiate Key Scientific Research Projects of Henan Province ; Scientific Research Foundation of Graduate School of Xinyang Normal University ; Nanhu Scholars Program for Young Scholars of XYNU ; State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, CAS ; Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection
WOS SubjectEnvironmental Sciences
WOS IDWOS:000717993000001
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/17289
Collection黄土与第四纪地质国家重点实验室(2010~)
Corresponding AuthorHan, Yan
Affiliation1.Xinyang Normal Univ, Sch Geog Sci, Key Lab Synergist Prevent Water & Soil Environm P, Xinyang 464000, Henan, Peoples R China
2.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710054, Shanxi, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Guoyong,Zhang, Ronglei,Han, Yan,et al. Pollution characteristics, spatial distribution, and source identification of heavy metals in road dust in a central eastern city in China: a comprehensive survey[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2021,193(12):13.
APA Zhao, Guoyong,Zhang, Ronglei,Han, Yan,Meng, Jianing,Qiao, Qiang,&Li, Hetan.(2021).Pollution characteristics, spatial distribution, and source identification of heavy metals in road dust in a central eastern city in China: a comprehensive survey.ENVIRONMENTAL MONITORING AND ASSESSMENT,193(12),13.
MLA Zhao, Guoyong,et al."Pollution characteristics, spatial distribution, and source identification of heavy metals in road dust in a central eastern city in China: a comprehensive survey".ENVIRONMENTAL MONITORING AND ASSESSMENT 193.12(2021):13.
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