Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China

To assess the spatial distribution characteristics and health risk of heavy metals (Cu, Zn, Ni, Cd, Pb, and Cr) in surface sediment of the Hai River and its tributaries in Tianjin, China, 32 surface sediment samples were collected. All the heavy metals mainly occurred in residue, except Cd. Cd prima...

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Autores principales:	Mengxin Kang, Yimei Tian, Haiya Zhang, Cheng Wan
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	fraction hai river health risk heavy metals self-organizing map surface sediment Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/e08f88d0e6414ab989e0cb9ac7a9c9ab
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spelling	oai:doaj.org-article:e08f88d0e6414ab989e0cb9ac7a9c9ab2021-11-06T11:22:28ZSpatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China0273-12231996-973210.2166/wst.2021.322https://doaj.org/article/e08f88d0e6414ab989e0cb9ac7a9c9ab2021-09-01T00:00:00Zhttp://wst.iwaponline.com/content/84/6/1487https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732To assess the spatial distribution characteristics and health risk of heavy metals (Cu, Zn, Ni, Cd, Pb, and Cr) in surface sediment of the Hai River and its tributaries in Tianjin, China, 32 surface sediment samples were collected. All the heavy metals mainly occurred in residue, except Cd. Cd primarily existed in the exchangeable fraction and posed a high risk to the aquatic environment. The mean values of pollution index followed a decreasing trend of Cu > Cd > Ni > Pb > Cr > Zn. The results of health risk assessment showed that the heavy metals were not a threat to local residents and Cr and Pb were the main contributors to the health risk. The carcinogenic risk posed by Cr was two orders of magnitude higher than that posed by Cd. A self-organizing map divided the 32 sites into three clusters and more attention should be paid to cluster 3. The results will be conducive to understanding the heavy metal pollution patterns and implementing effective and accurate management programs. HIGHLIGHTS Cu, Zn, Ni, Pb, and Cr mainly occurred in residue.; Cd primarily existed in exchangeable fraction.; Based on the values, eight sites were moderately polluted.; The health risk posed by Cr should not be ignored.; The self-organizing map (SOM) divided the 32 sampling sites into three clusters and cluster 3 should be paid more attention.;Mengxin KangYimei TianHaiya ZhangCheng WanIWA Publishingarticlefractionhai riverhealth riskheavy metalsself-organizing mapsurface sedimentEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 6, Pp 1487-1497 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fraction hai river health risk heavy metals self-organizing map surface sediment Environmental technology. Sanitary engineering TD1-1066
spellingShingle	fraction hai river health risk heavy metals self-organizing map surface sediment Environmental technology. Sanitary engineering TD1-1066 Mengxin Kang Yimei Tian Haiya Zhang Cheng Wan Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China
description	To assess the spatial distribution characteristics and health risk of heavy metals (Cu, Zn, Ni, Cd, Pb, and Cr) in surface sediment of the Hai River and its tributaries in Tianjin, China, 32 surface sediment samples were collected. All the heavy metals mainly occurred in residue, except Cd. Cd primarily existed in the exchangeable fraction and posed a high risk to the aquatic environment. The mean values of pollution index followed a decreasing trend of Cu > Cd > Ni > Pb > Cr > Zn. The results of health risk assessment showed that the heavy metals were not a threat to local residents and Cr and Pb were the main contributors to the health risk. The carcinogenic risk posed by Cr was two orders of magnitude higher than that posed by Cd. A self-organizing map divided the 32 sites into three clusters and more attention should be paid to cluster 3. The results will be conducive to understanding the heavy metal pollution patterns and implementing effective and accurate management programs. HIGHLIGHTS Cu, Zn, Ni, Pb, and Cr mainly occurred in residue.; Cd primarily existed in exchangeable fraction.; Based on the values, eight sites were moderately polluted.; The health risk posed by Cr should not be ignored.; The self-organizing map (SOM) divided the 32 sampling sites into three clusters and cluster 3 should be paid more attention.;
format	article
author	Mengxin Kang Yimei Tian Haiya Zhang Cheng Wan
author_facet	Mengxin Kang Yimei Tian Haiya Zhang Cheng Wan
author_sort	Mengxin Kang
title	Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China
title_short	Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China
title_full	Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China
title_fullStr	Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China
title_full_unstemmed	Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China
title_sort	spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the hai river and its tributaries in tianjin, china
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/e08f88d0e6414ab989e0cb9ac7a9c9ab
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Spatial distribution characteristics and health risk assessment of heavy metals in surface sediment of the Hai River and its tributaries in Tianjin, China

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