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Distribution, ecological risk and source identification of heavy metals in sediments from the Baiyangdian Lake, Northern China

机译:中国北方白洋淀的沉积物中重金属的分布,生态风险和来源识别

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摘要

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.
机译:白洋淀(BYDL)是华北平原最大的植物为主的淡水湿地。它在支持雄安新区建设中发挥着重要作用。本研究调查了BYDL沉积物中的重金属含量(As,Cd,Cu,Cr,Ni,Pb和Zn),以确定其空间分布和潜在的生态风险。然后使用多元视觉统计分析法分析污染物的关系和来源。风险评估结果表明,BYDL的表层沉积物被重金属中度污染至高度污染,主要污染物为Cd,Pb和Zn。高潜在风险区的空间分布主要集中在湖东,西部之间的河道中,Cd,Pb和Zn的高潜在风险水平分布在相似的区域。此外,外生重金属在16 cm深度的沉积物中积累,其含量和风险随深度的增加而急剧下降。此外,统计分析结果表明,沉积物中的Cd,Pb和Zn来自工业来源,As和Cr来自地质过程,养分来自非点源农业污染。总体而言,本研究提供了有关BYDL的生态风险分布和污染源的更多信息,这对于未来污染控制和环境修复的战略设计至关重要。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Chemosphere》 |2019年第12期|124425.1-124425.12|共12页
  • 作者

  • 作者单位

    Beijing Normal Univ Sch Environm Key Lab Water & Sediment Sci Minist Educ 19 Xinjiekouwai St Beijing 100875 Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Spatial distribution; GIS; Heavy metal; Multivariate visual statistical analysis;

    机译:空间分布;地理信息系统重金属;多元视觉统计分析;

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