Literature DB >> 30851539

Fraction spatial distributions and ecological risk assessment of heavy metals in the sediments of Baiyangdian Lake.

Zehua Ji1, Yu Zhang1, Hao Zhang1, Changxing Huang1, Yuansheng Pei2.   

Abstract

Baiyangdian Lake has been the ecological foundation of the Xiongan New Area, a newly developing economic zone in northern China since 2017, meaning that it is increasingly significant to recognize the contamination of the lake. In this work, the spatial distribution and ecological risk of heavy metals in the lake sediments were examined based on field investigation, multivariate statistical analyses and X-ray diffraction techniques (XRD). The results showed that the heavy metals in sediments pose moderate to high risks in most of the sample sites. The heavily contaminated sites presented more unstable chemical (exchangeable and reducible) fractions, and the ecological risk is highly sensitive to the exchangeable fraction in highly contaminative sites. The results of statistical analyses demonstrated that metal fractions were significantly correlated with physicochemical properties, and TP, TN and TOC exhibited a strong correlation with the exchangeable fraction of As, Cd, Pb and Zn. In contrast, Fe and Mn were weakly correlated with the fractions, which due to the high proportion of the nutrient elements in the sediment. Furthermore, the results from the XRD patterns demonstrated that the mineralogy phases of the various heavy metals contributed to the different chemical fractions. Those results demonstrated that further research on metal fraction distribution and influencing factors in the sediment should be implemented to ascertain the degree of toxicity to carry out effective strategies to remediate the lake sediment.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Baiyangdian lake; Heavy metal fractions; Multivariate statistical analyses; Risk assessment; XRD

Mesh:

Substances:

Year:  2019        PMID: 30851539     DOI: 10.1016/j.ecoenv.2019.02.062

Source DB:  PubMed          Journal:  Ecotoxicol Environ Saf        ISSN: 0147-6513            Impact factor:   6.291


  3 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.  Spatial Distributions and Intrinsic Influence Analysis of Cr, Ni, Cu, Zn, As, Cd and Pb in Sediments from the Wuliangsuhai Wetland, China.

Authors:  Huilan Zhang; Piaopiao Liang; Ying Liu; Xinglei Wang; Yahong Bai; Yunxin Xing; Chunli Wei; Yuanyuan Li; Yiming Liu; Yu Hu
Journal:  Int J Environ Res Public Health       Date:  2022-08-31       Impact factor: 4.614

3.  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
  3 in total

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