Literature DB >> 31352101

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

Zehua Ji1, Hao Zhang1, Yu Zhang1, Tao Chen1, Ziwei Long1, Meng Li1, Yuansheng Pei2.   

Abstract

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

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

Year:  2019        PMID: 31352101     DOI: 10.1016/j.chemosphere.2019.124425

Source DB:  PubMed          Journal:  Chemosphere        ISSN: 0045-6535            Impact factor:   7.086


  4 in total

1.  Distribution, ecological risk assessment and source identification of pollutants in soils of different land-use types in degraded wetlands.

Authors:  Yangyang Han; Hongjie Wang; Guangming Zhang; Shengqi Zhang; Xingchun Liu; Ling Liu
Journal:  PeerJ       Date:  2022-02-22       Impact factor: 2.984

2.  Biomarkers for pollution in caged mussels from three reservoirs in Bulgaria: A pilot study.

Authors:  Elenka Georgieva; László Antal; Stela Stoyanova; Desislava Aranudova; Iliana Velcheva; Ilia Iliev; Tonka Vasileva; Veselin Bivolarski; Vesela Mitkovska; Tsenka Chassovnikarova; Borislava Todorova; Ifeanyi Emmanuel Uzochukwu; Krisztián Nyeste; Vesela Yancheva
Journal:  Heliyon       Date:  2022-03-07

3.  Pollution, Ecological Risk and Source Identification of Heavy Metals in Sediments from the Huafei River in the Eastern Suburbs of Kaifeng, China.

Authors:  Bingyan Jin; Jinling Wang; Wei Lou; Liren Wang; Jinlong Xu; Yanfang Pan; Jianbiao Peng; Dexin Liu
Journal:  Int J Environ Res Public Health       Date:  2022-09-07       Impact factor: 4.614

4.  Spatial-Temporal Variations, Ecological Risk Assessment, and Source Identification of Heavy Metals in the Sediments of a Shallow Eutrophic Lake, China.

Authors:  Xiaomei Su; Hong Ling; Dan Wu; Qingju Xue; Liqiang Xie
Journal:  Toxics       Date:  2022-01-04
  4 in total

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