Literature DB >> 28755647

Health risk assessment of heavy metals in fish and accumulation patterns in food web in the upper Yangtze River, China.

Yujun Yi1, Caihong Tang2, Tieci Yi3, Zhifeng Yang4, Shanghong Zhang5.   

Abstract

This study aims to concern the distribution of As, Cr, Cd, Hg, Cu, Zn, Pb and Fe in surface sediment, zoobenthos and fishes, and quantify the accumulative ecological risk and human health risk of metals in river ecological system based on the field investigation in the upper Yangtze River. The results revealed high ecological risk of As, Cd, Cu, Hg, Zn and Pb in sediment. As and Cd in fish presented potential human health risk of metals by assessing integrated target hazard quotient results based on average and maximum concentrations, respectively. No detrimental health effects of heavy metals on humans were found by daily fish consumption. While, the total target hazard quotient (1.659) exceeding 1, it meant that the exposed population might experience noncarcinogenic health risks from the accumulative effect of metals. Ecological network analysis model was established to identify the transfer routes and quantify accumulative effects of metals on river ecosystem. Control analysis between compartments showed large predator fish firstly depended on the omnivorous fish. Accumulative ecological risk of metals indicated that zoobenthos had the largest metal propagation risk and compartments located at higher trophic levels were not easier affected by the external environment pollution. CAPSULE: A potential accumulative ecological risk of heavy metal in the food web was quantified, and the noncarcinogenic health risk of fish consumption was revealed for the upper reach of the Yangtze River.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Ecological network; Fish; Health risk; Heavy metals; Yangtze River

Mesh:

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Year:  2017        PMID: 28755647     DOI: 10.1016/j.ecoenv.2017.07.022

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


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