A new method for estimating sedimental integrated toxicity of heavy metal mixtures to aquatic biota: a case study
文献类型： 外文期刊
作者： Gu, Yang-Guang 1 ; Gao, Yan-Peng 4 ;
作者机构： 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China
2.Key lab Fishery Ecol & Environm, Guangzhou, Guangdong, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Open Sea Fishery Dev, Guangzhou 510300, Peoples R China
4.Guangdong Univ Technol, Inst Environm Hlth & Pollut Control, Guangzhou 510006, Peoples R China
5.Guangdong Univ Technol, Sch Environm Sci & Engn, Guangzhou 510006, Peoples R China
关键词： Heavy metals; Sediments; Toxic response factors; Cd toxic equivalent concentration; Probability risk assessment
期刊名称：ECOTOXICOLOGY （ 影响因子：2.823； 五年影响因子：2.958 ）
ISSN： 0963-9292
年卷期： 2021 年 30 卷 2 期
页码：
收录情况： SCI
摘要： The existing methods of measuring combined toxicity of heavy metal mixtures in environment do not fully consider three major factors (i.e., number of heavy metal species, aquatic biota, all investigated sites as an entity). Herein, a new method named joint probabilistic risk (JPR) method is proposed for evaluating the combined toxicity of heavy metal mixtures to aquatic biota. In this new method, the above three factors are fully taken into account. In order to evaluate the feasibility of the new method, the Pearl River Estuary (PRE) is selected as a case study. Concentrations of heavy metals (Cd, Pb, Cr, Ni, Cu, and Zn) in surface sediments of PRE are investigated and toxic equivalent factors (TEFs) of these heavy metals are calculated. Based on TEFs, sedimental concentrations of heavy metals of PRE are converted to Cd toxic equivalent concentration (Cd-eq), while the Cd toxicity data (Cd-to) are extracted from the literature. The probability density curves for Cd-eq and Cd-to are constructed and the overlap area is quantified as 0.2497. This indicates that the surface sediments of PRE have a 24.97% probability of toxic effect towards aquatic biota. Finally, this new method is validated by two indirect methods of mERMq and mPELq.
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