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Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir

Shahe Reservoir of Northern Canal Basin was selected as the study area. Nineteen surface (0~20 cm) sediment samples and three sediment core samples were collected to analyze the spatial distribution characteristics of As, Cd, Cu, Mn, Pb and Zn in the sediments. The geo-accumulation index, potential...

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Autores principales: Sun, Wen, Yang, Ke, Li, Risheng, Chen, Tianqing, Xia, Longfei, Sun, Xubo, Wang, Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519956/
https://www.ncbi.nlm.nih.gov/pubmed/36171256
http://dx.doi.org/10.1038/s41598-022-20540-w
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author Sun, Wen
Yang, Ke
Li, Risheng
Chen, Tianqing
Xia, Longfei
Sun, Xubo
Wang, Zhao
author_facet Sun, Wen
Yang, Ke
Li, Risheng
Chen, Tianqing
Xia, Longfei
Sun, Xubo
Wang, Zhao
author_sort Sun, Wen
collection PubMed
description Shahe Reservoir of Northern Canal Basin was selected as the study area. Nineteen surface (0~20 cm) sediment samples and three sediment core samples were collected to analyze the spatial distribution characteristics of As, Cd, Cu, Mn, Pb and Zn in the sediments. The geo-accumulation index, potential ecological risk index and risk assessment code were used to evaluate heavy metal pollution, as well as its potential risk was analyzed according to the speciation of heavy metals. Results showed that the average enrichment factors of heavy metals compared to the background value in soil of Beijing were ranked at the order as the point source pollution area > the central area of the reservoir > the downstream area of the reservoir > the Nansha River > the upstream area of the reservoir > the Beisha River, namely, 2.57 times, 2.06 times, 1.97 times, 1.95 times, 1.87 times and 1.85 times, respectively. The sediment core samples in the central area of the reservoir and the inlet of the Beisha River showed a trend of increasing firstly and then decreasing with the change of depth. Pollution assessment results showed that sediment was moderately contaminated or moderately to strongly contaminated by As, but the other heavy metals were not polluted or lightly polluted. The potential ecological risk index of all sampling sites was less than 150, showing a low ecological risk. As Cr and Cu were mainly in the speciation of residues, with low bioavailability. Although the content of Mn and Zn were low, they showed high bioavailability. Based on correlation analysis and principal component analysis, it was speculated that the sources of various heavy metal pollution in the sediment were similar, which were possibly input from the external wastewater. The heavy metals in sediment were positively related to nutrients and organic matter, indicating that all of them were mostly from the same point polluted sources.
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spelling pubmed-95199562022-09-30 Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir Sun, Wen Yang, Ke Li, Risheng Chen, Tianqing Xia, Longfei Sun, Xubo Wang, Zhao Sci Rep Article Shahe Reservoir of Northern Canal Basin was selected as the study area. Nineteen surface (0~20 cm) sediment samples and three sediment core samples were collected to analyze the spatial distribution characteristics of As, Cd, Cu, Mn, Pb and Zn in the sediments. The geo-accumulation index, potential ecological risk index and risk assessment code were used to evaluate heavy metal pollution, as well as its potential risk was analyzed according to the speciation of heavy metals. Results showed that the average enrichment factors of heavy metals compared to the background value in soil of Beijing were ranked at the order as the point source pollution area > the central area of the reservoir > the downstream area of the reservoir > the Nansha River > the upstream area of the reservoir > the Beisha River, namely, 2.57 times, 2.06 times, 1.97 times, 1.95 times, 1.87 times and 1.85 times, respectively. The sediment core samples in the central area of the reservoir and the inlet of the Beisha River showed a trend of increasing firstly and then decreasing with the change of depth. Pollution assessment results showed that sediment was moderately contaminated or moderately to strongly contaminated by As, but the other heavy metals were not polluted or lightly polluted. The potential ecological risk index of all sampling sites was less than 150, showing a low ecological risk. As Cr and Cu were mainly in the speciation of residues, with low bioavailability. Although the content of Mn and Zn were low, they showed high bioavailability. Based on correlation analysis and principal component analysis, it was speculated that the sources of various heavy metal pollution in the sediment were similar, which were possibly input from the external wastewater. The heavy metals in sediment were positively related to nutrients and organic matter, indicating that all of them were mostly from the same point polluted sources. Nature Publishing Group UK 2022-09-28 /pmc/articles/PMC9519956/ /pubmed/36171256 http://dx.doi.org/10.1038/s41598-022-20540-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sun, Wen
Yang, Ke
Li, Risheng
Chen, Tianqing
Xia, Longfei
Sun, Xubo
Wang, Zhao
Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir
title Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir
title_full Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir
title_fullStr Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir
title_full_unstemmed Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir
title_short Distribution characteristics and ecological risk assessment of heavy metals in sediments of Shahe reservoir
title_sort distribution characteristics and ecological risk assessment of heavy metals in sediments of shahe reservoir
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9519956/
https://www.ncbi.nlm.nih.gov/pubmed/36171256
http://dx.doi.org/10.1038/s41598-022-20540-w
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