期刊
CHEMOSPHERE
卷 237, 期 -, 页码 -出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chemosphere.2019.124425
关键词
Spatial distribution; GIS; Heavy metal; Multivariate visual statistical analysis
资金
- Major Science and Technology Program for Water Pollution Control and Treatment [2018ZX07110004]
- National Natural Science Foundation of China [51579009, 51879012]
- Beijing municipal science and technology plan projects [Z181100005518005]
Baiyangdian Lake (BYDL) is the largest plant-dominated freshwater wetland in the North China Plain. It plays an important role in supporting the construction of Xiongan New Area. Heavy metals contents (As, Cd, Cu, Cr, Ni, Pb, and Zn) in the sediments from BYDL are investigated to determine their spatial distribution and potential ecological risk in this study. Then the relationship and sources of contaminants were analyzed using a multivariate visual statistical analysis. The risk assessment results reveal that the surface sediments of BYDL are moderately to highly polluted by heavy metals, and the primary contaminants are Cd, Pb, and Zn. The spatial distribution of high potential risk regions mainly concentrate in the stream corridor between the east and west of the lake, and the distribution of high potential risk level of Cd, Pb, and Zn occur in a similar region. Additionally, exogenetic heavy metals are accumulated in the sediment cores within a depth of 16 cm, and their contents and risk decreased sharply with the increasing of depth. Furthermore, the results of statistical analysis implied that the Cd, Pb, and Zn in sediments are derived from industrial sources, the As and Cr from the geological process and the nutrients are from the nonpoint agricultural pollution. Overall, this study gives more information about the ecological risk distribution and pollution sources of BYDL, which is essential for the strategic design of future pollution control and environmental remediation. (C) 2019 Elsevier Ltd. All rights reserved.
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