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Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust
Tian, Shuhan1,2; Liang, Tao1,2; Li, Kexin1,2; Wang, Lingqing1,2
2018-08-15
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume633Pages:958-966
Corresponding AuthorLiang, Tao(liangt@igsnrr.ac.cn) ; Li, Kexin(likx@igsnrr.ac.cn)
AbstractTo better assess pollution and offer efficient protection for local residents, it is necessary to both conduct an exhaustive investigation into pollution levels and quantify its contributing sources and paths. As it is the biggest light rare earth element (REE) reserve in the world, Bayan Obo deposit releases large amounts of heavy metals into the surrounding environment. In this study, road dust from zones located at different distances to the mining area was collected and sieved using seven sizes. This allowed for subsequent analysis of size-dependent influences of mining activities. A receptor model was used to quantitatively assess mine contributions. REE distribution patterns and other REE parameters were compared with those in airborne particulates and the surrounding soil to analyze pollution paths. Results showed that 27 metals were rated as moderately to extremely polluted (2 < geo-accumulation index < 6) in both mine processing and residential areas. REEs are the most polluted elements, followed by Mo, Cd, Pb, and Ag. Although mining contribution to pollution levels increased with decreasing distance and size, 35% of REEs and 6% of other polluted metals in residential area road dust originated directly from the mine. The provenance index (PI) calculated using the REE parameters confirmed this result. While the REE distribution pattern showed that airborne particulates may not be the path for mining-derived particles, they may be one for other sources. (C) 2018 Published by Elsevier B.V.
KeywordREEs Mining contamination Quantification Pollution path
DOI10.1016/j.scitotenv.2018.03.227
WOS KeywordHEALTH-RISK ASSESSMENT ; ATMOSPHERIC PARTICULATE MATTER ; DIFFERENT FUNCTIONAL AREAS ; HEAVY-METALS ; BAYAN OBO ; INNER-MONGOLIA ; SEDIMENT PROVENANCES ; SPATIAL-DISTRIBUTION ; EXHAUST EMISSIONS ; FUJIAN PROVINCE
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571473] ; National Natural Science Foundation of China[41401591]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000432475300092
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54799
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiang, Tao; Li, Kexin
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 10049, Peoples R China
Recommended Citation
GB/T 7714
Tian, Shuhan,Liang, Tao,Li, Kexin,et al. Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,633:958-966.
APA Tian, Shuhan,Liang, Tao,Li, Kexin,&Wang, Lingqing.(2018).Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust.SCIENCE OF THE TOTAL ENVIRONMENT,633,958-966.
MLA Tian, Shuhan,et al."Source and path identification of metals pollution in a mining area by PMF and rare earth element patterns in road dust".SCIENCE OF THE TOTAL ENVIRONMENT 633(2018):958-966.
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