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Multivariate geostatistical analysis and source identification of heavy metals in the sediment of Poyang Lake in China
Dai, Lijun1; Wang, Lingqing1; Li, Lianfang2; Liang, Tao1; Zhang, Yongyong1; Ma, Chuanxin3,4; Xing, Baoshan3
2018-04-15
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
Volume621Pages:1433-1444
Corresponding AuthorWang, Lingqing(wanglq@igsnrr.ac.cn)
AbstractHeavy metals in lake sediment have become a great concern because their remobilization has frequently occurred under hydrodynamic disturbance in shallow lakes. In this study, heavy metals (Cr, Cu, Cd, Pb, and Zn) concentrations in the surface and core sediments of the largest freshwater lake in China, Poyang Lake, were investigated. Geostatistical prediction maps of heavy metals distribution in the surface sediment were completed as well as further data mining. Based on the prediction maps, the ranges of Cr, Cu, Cd, Pb, and Zn concentrations in the surface sediments of the entire lake were 96.2-175.2, 38.3-127.6, 0.2-2.3, 22.5-77.4, and 72.3-254.4 mg/kg, respectively. A self-organizing map (SOM) was applied to find the inner element relation of heavy metals in the sediment cores. K-means clustering of the self-organizing map was also completed to define the Euclidian distance of heavy metals in the sediment cores. The geoaccumulation index (I-geo) for Poyang Lake indicated a varying degree of heavy metal contamination in the surface sediment, especially for Cu. The heavy metal contamination in the sediment profiles had similar pollution levels as those of surface sediment, except for Cd. Correlation matrix mapping and principal component analysis (PCA) were used to support the idea that Cr, Pb, and Zn may be mainly derived from both lithogenic and human activities, such as atmospheric and river inflow transportation, whereas Cu and Cd may be mainly contributed from anthropogenic sources, such as mining activities and fertilizer application. (c) 2017 Elsevier B.V. All rights reserved.
KeywordHeavy metal Sediment Geostatistical analysis Self-organizing map Poyang Lake
DOI10.1016/j.scitotenv.2017.10.085
WOS KeywordYANGTZE-RIVER FLOW ; RISK-ASSESSMENT ; SPATIAL-DISTRIBUTION ; SURFACE SEDIMENTS ; ECOLOGICAL RISK ; DONGTING LAKE ; CONTAMINATION ; BIOAVAILABILITY ; SOIL ; ACCUMULATION
Indexed BySCI
Language英语
Funding ProjectNational Key Project for Basic Research[2012CB417004] ; National Natural Scientific Foundation of China[41401591] ; National Natural Scientific Foundation of China[41571473]
Funding OrganizationNational Key Project for Basic Research ; National Natural Scientific Foundation of China
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000424196800140
PublisherELSEVIER SCIENCE BV
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57021
Collection中国科学院地理科学与资源研究所
Corresponding AuthorWang, Lingqing
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
3.Univ Massachusetts, Stockbridge Sch Agr, Amherst, MA 01003 USA
4.Connecticut Agr Expt Stn, Dept Analyt Chem, New Haven, CT 06504 USA
Recommended Citation
GB/T 7714
Dai, Lijun,Wang, Lingqing,Li, Lianfang,et al. Multivariate geostatistical analysis and source identification of heavy metals in the sediment of Poyang Lake in China[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2018,621:1433-1444.
APA Dai, Lijun.,Wang, Lingqing.,Li, Lianfang.,Liang, Tao.,Zhang, Yongyong.,...&Xing, Baoshan.(2018).Multivariate geostatistical analysis and source identification of heavy metals in the sediment of Poyang Lake in China.SCIENCE OF THE TOTAL ENVIRONMENT,621,1433-1444.
MLA Dai, Lijun,et al."Multivariate geostatistical analysis and source identification of heavy metals in the sediment of Poyang Lake in China".SCIENCE OF THE TOTAL ENVIRONMENT 621(2018):1433-1444.
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