IGSNRR OpenIR
Combining multiple methods for provenance discrimination based on rare earth element geochemistry in lake sediment
Wang, Lingqing1,2; Han, Xiaoxiao1,2; Ding, Shiming2,3; Liang, Tao1,2; Zhang, Yongyong1,2; Xiao, Jun4,5; Dong, Linlin6; Zhang, Haidong6
2019-07-01
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume672Pages:264-274
Corresponding AuthorWang, Lingqing(wanglq@igsnrr.ac.cn) ; Xiao, Jun(xiaojun@ieecas.cn)
AbstractGeochemical properties of rare earth elements (REEs) have the potential to represent the provenance and depositional history of surface sediment in aquatic environments. In this study, both surface and core sediment samples were collected from Dongting Lake to investigate the distribution characteristics and source of REEs by combining the methodologies of geostatistics, positive matrix factorization (PMF) model, discriminant function (DF), and provenance index (PI) based on REEs geochemical parameters. The results indicated that the total REEs content in sediment samples ranged from 129.12 to 284.02 mu g g(-1), with the average REEs content calculated to be 197.95 mu g g(-1). Light REEs (LREEs) comprised >90% of the total REEs, indicating that there was an enrichment of LREEs in the sediment samples. The REEs of the surface sediment showed strong spatial variation, with relatively high values located in Eastern Dongting Lake and relatively lower levels in Western Dongting Lake. Moreover, the vertical distributions of Sigma REEs, Sigma LREEs and Sigma HREEs at most sampling sites behaved similarly with rapid increase until about 6-8 cm, followed by a downward trend with some irregularities. The strong association between most REEs confirmed that they often have a positive correlation and co-existence in sediment. The PMF model revealed that most of the REEs in the surface sediment were derived from natural sources with some anthropogenic inputs also serving as contributing sources. The DF and PI results indicated that the REEs distribution pattern in the surface sediment of Dongting Lake was similar to that of the Yangtze River, suggesting that Yangtze River had been more of an influence on sediment loads than the upstream tributaries. This study highlights the broader applicability of the REEs tracing method in sediment transport processes and can provide new knowledge regarding source apportionment analysis of sediment-related contaminants in aquatic environments. (C) 2019 Elsevier B.V. All rights reserved.
KeywordRare earth element Sediment Positive matrix factorization Discriminant function Provenance index Lake
DOI10.1016/j.scitotenv.2019.03.484
WOS KeywordDONGTING LAKE ; YANGTZE-RIVER ; ANTHROPOGENIC GADOLINIUM ; HEAVY-METALS ; SOURCE APPORTIONMENT ; CHANGJIANG YANGTZE ; SURFACE SEDIMENTS ; MIDDLE REACH ; MINING AREA ; FRACTIONATION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41401591] ; National Natural Science Foundation of China[41571473] ; Youth Innovation Promotion Association of CAS[2015336] ; National Key Project for Basic Research[2012CB417004]
Funding OrganizationNational Natural Science Foundation of China ; Youth Innovation Promotion Association of CAS ; National Key Project for Basic Research
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000466979400027
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/59181
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Lingqing; Xiao, Jun
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 100049, Peoples R China
3.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Jiangsu, Peoples R China
4.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China
5.Chinese Acad Sci, Ctr Excellence Quaternary Sci & Global Change, Xian 710061, Shaanxi, Peoples R China
6.Suzhou Acad Agr Sci, Suzhou 215155, Peoples R China
Recommended Citation
GB/T 7714
Wang, Lingqing,Han, Xiaoxiao,Ding, Shiming,et al. Combining multiple methods for provenance discrimination based on rare earth element geochemistry in lake sediment[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2019,672:264-274.
APA Wang, Lingqing.,Han, Xiaoxiao.,Ding, Shiming.,Liang, Tao.,Zhang, Yongyong.,...&Zhang, Haidong.(2019).Combining multiple methods for provenance discrimination based on rare earth element geochemistry in lake sediment.SCIENCE OF THE TOTAL ENVIRONMENT,672,264-274.
MLA Wang, Lingqing,et al."Combining multiple methods for provenance discrimination based on rare earth element geochemistry in lake sediment".SCIENCE OF THE TOTAL ENVIRONMENT 672(2019):264-274.
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