Multivariate geostatistical analysis and source identification of heavy metals in the sediment of Poyang Lake in China
文献类型：期刊论文
| 作者 | Dai, Lijun2; Wang, Lingqing2 ; Li, Lianfang1; Liang, Tao2; Zhang, Yongyong2; Ma, Chuanxin3,4; Xing, Baoshan4
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| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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| 出版日期 | 2018-04-15 |
| 卷号 | 621页码:1433-1444 |
| 关键词 | Heavy metal Sediment Geostatistical analysis Self-organizing map Poyang Lake |
| ISSN号 | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2017.10.085 |
| 通讯作者 | Wang, Lingqing(wanglq@igsnrr.ac.cn) |
| 英文摘要 | Heavy 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. |
| WOS关键词 | YANGTZE-RIVER FLOW ; RISK-ASSESSMENT ; SPATIAL-DISTRIBUTION ; SURFACE SEDIMENTS ; ECOLOGICAL RISK ; DONGTING LAKE ; CONTAMINATION ; BIOAVAILABILITY ; SOIL ; ACCUMULATION |
| 资助项目 | National Key Project for Basic Research[2012CB417004] ; National Natural Scientific Foundation of China[41401591] ; National Natural Scientific Foundation of China[41571473] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000424196800140 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Key Project for Basic Research ; National Natural Scientific Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57020]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Lingqing |
| 作者单位 | 1.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Connecticut Agr Expt Stn, Dept Analyt Chem, New Haven, CT 06504 USA 4.Univ Massachusetts, Stockbridge Sch Agr, Amherst, MA 01003 USA |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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