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Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems

Several methods have been used to assess heavy metal contamination in sediments. However, an assessment that considers both composite heavy metal speciation and concentration is necessary to accurately study ecological risks. This study improved the potential ecological risk index method and calcula...

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Autores principales: Cao, Yu, Wang, Ruimin, Liu, Yanyan, Li, Yongjie, Jia, Lifen, Yang, Qingxiang, Zeng, Xiangpeng, Li, Xinlei, Wang, Qiang, Wang, Ruifei, Riaz, Luqman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459401/
https://www.ncbi.nlm.nih.gov/pubmed/37624156
http://dx.doi.org/10.3390/toxics11080650
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author Cao, Yu
Wang, Ruimin
Liu, Yanyan
Li, Yongjie
Jia, Lifen
Yang, Qingxiang
Zeng, Xiangpeng
Li, Xinlei
Wang, Qiang
Wang, Ruifei
Riaz, Luqman
author_facet Cao, Yu
Wang, Ruimin
Liu, Yanyan
Li, Yongjie
Jia, Lifen
Yang, Qingxiang
Zeng, Xiangpeng
Li, Xinlei
Wang, Qiang
Wang, Ruifei
Riaz, Luqman
author_sort Cao, Yu
collection PubMed
description Several methods have been used to assess heavy metal contamination in sediments. However, an assessment that considers both composite heavy metal speciation and concentration is necessary to accurately study ecological risks. This study improved the potential ecological risk index method and calculated the toxicity coefficients of seven heavy metals: Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn). The newly calculated toxicity coefficients were validated by using previously published heavy metal distribution data of the Henan section of the Yellow River. The calculation procedure is based on the principle that the abundance of heavy metals in the environment and their bioavailable forms affect the toxicity of heavy metals. The toxicity coefficients for the seven heavy metals were calculated as follows: As = 10, Cd = 20, Cr = 5, Cu = 2, Ni = 5, Pb = 5, Zn = 1. Ecological risk assessment of the Henan section of the Yellow River using the improved toxicity coefficients revealed that the ecological risk of Cd and total heavy metals is higher than previous calculations, reaching the strength and moderate risk levels, respectively. The improved potential ecological risk index method is more sensitive to heavy metal pollution and thus provides a better indication of ecological risk. This is a necessary improvement to provide more accurate pollution assessments.
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spelling pubmed-104594012023-08-27 Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems Cao, Yu Wang, Ruimin Liu, Yanyan Li, Yongjie Jia, Lifen Yang, Qingxiang Zeng, Xiangpeng Li, Xinlei Wang, Qiang Wang, Ruifei Riaz, Luqman Toxics Article Several methods have been used to assess heavy metal contamination in sediments. However, an assessment that considers both composite heavy metal speciation and concentration is necessary to accurately study ecological risks. This study improved the potential ecological risk index method and calculated the toxicity coefficients of seven heavy metals: Arsenic (As), Cadmium (Cd), Chromium (Cr), Copper (Cu), Nickel (Ni), Lead (Pb), and Zinc (Zn). The newly calculated toxicity coefficients were validated by using previously published heavy metal distribution data of the Henan section of the Yellow River. The calculation procedure is based on the principle that the abundance of heavy metals in the environment and their bioavailable forms affect the toxicity of heavy metals. The toxicity coefficients for the seven heavy metals were calculated as follows: As = 10, Cd = 20, Cr = 5, Cu = 2, Ni = 5, Pb = 5, Zn = 1. Ecological risk assessment of the Henan section of the Yellow River using the improved toxicity coefficients revealed that the ecological risk of Cd and total heavy metals is higher than previous calculations, reaching the strength and moderate risk levels, respectively. The improved potential ecological risk index method is more sensitive to heavy metal pollution and thus provides a better indication of ecological risk. This is a necessary improvement to provide more accurate pollution assessments. MDPI 2023-07-27 /pmc/articles/PMC10459401/ /pubmed/37624156 http://dx.doi.org/10.3390/toxics11080650 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cao, Yu
Wang, Ruimin
Liu, Yanyan
Li, Yongjie
Jia, Lifen
Yang, Qingxiang
Zeng, Xiangpeng
Li, Xinlei
Wang, Qiang
Wang, Ruifei
Riaz, Luqman
Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
title Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
title_full Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
title_fullStr Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
title_full_unstemmed Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
title_short Improved Calculations of Heavy Metal Toxicity Coefficients for Evaluating Potential Ecological Risk in Sediments Based on Seven Major Chinese Water Systems
title_sort improved calculations of heavy metal toxicity coefficients for evaluating potential ecological risk in sediments based on seven major chinese water systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459401/
https://www.ncbi.nlm.nih.gov/pubmed/37624156
http://dx.doi.org/10.3390/toxics11080650
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