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Multivariate statistical and lead isotopic analyses approach to identify heavy metal sources in topsoil from the industrial zone of Beijing Capital Iron and Steel Factory
Zhu, Guangxu1,2; Guo, Qingjun2; Xiao, Huayun1; Chen, Tongbin2; Yang, Jun2
2017-06-01
Source PublicationENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN0944-1344
Volume24Issue:17Pages:14877-14888
Corresponding AuthorZhu, Guangxu(zhuguangxu@mail.gyig.ac.cn) ; Guo, Qingjun(guoqj@igsnrr.ac.cn)
AbstractHeavy metals are considered toxic to humans and ecosystems. In the present study, heavy metal concentration in soil was investigated using the single pollution index (PIi), the integrated Nemerow pollution index (PIN), and the geoaccumulation index (Igeo) to determine metal accumulation and its pollution status at the abandoned site of the Capital Iron and Steel Factory in Beijing and its surrounding area. Multivariate statistical (principal component analysis and correlation analysis), geostatistical analysis (ArcGIS tool), combined with stable Pb isotopic ratios, were applied to explore the characteristics of heavy metal pollution and the possible sources of pollutants. The results indicated that heavy metal elements show different degrees of accumulation in the study area, the observed trend of the enrichment factors, and the geoaccumulation index was Hg > Cd > Zn > Cr > Pb > Cu ae As > Ni. Hg, Cd, Zn, and Cr were the dominant elements that influenced soil quality in the study area. The Nemerow index method indicated that all of the heavy metals caused serious pollution except Ni. Multivariate statistical analysis indicated that Cd, Zn, Cu, and Pb show obvious correlation and have higher loads on the same principal component, suggesting that they had the same sources, which are related to industrial activities and vehicle emissions. The spatial distribution maps based on ordinary kriging showed that high concentrations of heavy metals were located in the local factory area and in the southeast-northwest part of the study region, corresponding with the predominant wind directions. Analyses of lead isotopes confirmed that Pb in the study soils is predominantly derived from three Pb sources: dust generated during steel production, coal combustion, and the natural background. Moreover, the ternary mixture model based on lead isotope analysis indicates that lead in the study soils originates mainly from anthropogenic sources, which contribute much more than the natural sources. Our study could not only reveal the overall situation of heavy metal contamination, but also identify the specific pollution sources.
KeywordSoil Heavy metal Pollution assessment Sources identification Multivariate statistical analysis Pb isotopes
DOI10.1007/s11356-017-9055-9
WOS KeywordNORTHEAST CHINA ; SOURCE APPORTIONMENT ; AGRICULTURAL SOILS ; POLLUTION SOURCES ; RIVER SEDIMENTS ; RISK-ASSESSMENT ; TRACE-ELEMENTS ; AIR-POLLUTION ; PB ISOTOPES ; URBAN SOILS
Indexed BySCI
Language英语
Funding ProjectNational High Technology Research and Development Program of China (973 Program)[2014CB238906] ; National Natural Science Foundation of China[41425014] ; National Natural Science Foundation of China[41625006] ; China Postdoctoral Science Foundation[2015 M582578] ; Feature Institute Program of the Chinese Academy of Sciences
Funding OrganizationNational High Technology Research and Development Program of China (973 Program) ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Feature Institute Program of the Chinese Academy of Sciences
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000402997700029
PublisherSPRINGER HEIDELBERG
Citation statistics
Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/63399
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu, Guangxu; Guo, Qingjun
Affiliation1.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550081, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Ctr Environm Remediat, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Guangxu,Guo, Qingjun,Xiao, Huayun,et al. Multivariate statistical and lead isotopic analyses approach to identify heavy metal sources in topsoil from the industrial zone of Beijing Capital Iron and Steel Factory[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2017,24(17):14877-14888.
APA Zhu, Guangxu,Guo, Qingjun,Xiao, Huayun,Chen, Tongbin,&Yang, Jun.(2017).Multivariate statistical and lead isotopic analyses approach to identify heavy metal sources in topsoil from the industrial zone of Beijing Capital Iron and Steel Factory.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,24(17),14877-14888.
MLA Zhu, Guangxu,et al."Multivariate statistical and lead isotopic analyses approach to identify heavy metal sources in topsoil from the industrial zone of Beijing Capital Iron and Steel Factory".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 24.17(2017):14877-14888.
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