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Nonmetric multidimensional scaling and probabilistic ecological risk assessment of trace metals in surface sediments of Daya Bay (China) using diffusive gradients in thin films

文献类型: 外文期刊

作者: Gu, Yang-Guang 1 ; Jiang, Shi-Jun 2 ; Jordan, Richard W. 4 ; Huang, Hong-Hui 1 ; Wu, Feng-Xia 1 ;

作者机构: 1.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China

2.Hohai Univ, Coll Oceanog, Nanjing 245700, Peoples R China

3.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China

4.Yamagata Univ, Fac Sci, Yamagata 9908560, Japan

5.Key Lab Fishery Ecol & Environm, Guangzhou 510300, Guangdong, Peoples R China

6.Minist Agr & Rural Affairs, Key Lab Open Sea Fishery Dev, Guangzhou 510300, Peoples R China

7.Chinese Acad Fishery Sci, Key Lab Big Data South China Sea Fishery Resources, Beijing, Peoples R China

关键词: Aquatic biota; Bioavailability; Daya bay; Ecological risk; Trace metal mixtures; Integral toxicity

期刊名称:SCIENCE OF THE TOTAL ENVIRONMENT ( 影响因子:9.8; 五年影响因子:9.6 )

ISSN: 0048-9697

年卷期: 2023 年 867 卷

页码:

收录情况: SCI

摘要: This research is one main objective to assess combined toxicity of trace metal mixtures in aquatic biota in coastal sed-iments. Coastal sediments around the world are a major reservoir of trace metals from industrial wastewater discharge. Our case study site, Daya Bay in southern China, was selected because it has been under severe man-made impacts. Diffusive gradients in thin films (DGT) technique has proven to be a good method for measuring the bioavailability of trace metals. The bioavailability and distribution of trace metals in surface sediments were investigated along with their possible biological risks. The average bioavailable (DGT-labile) concentrations (mu g/L) were 0.44 (V), 0.51 (Cr), 52.49 (Mn), 0.10 (Co), 1.36 (Ni), 0.74 (Cu), 14.53 (Zn), 0.97 (As), 0.14 (Se), 6.73 (Mo), 0.17 (Cd), 0.27 (Sb), 0.10 (W), and 1.32 (Pb). Nonmetric multidimensional scaling (NMS) is a robust multivariate ordination method that makes no assumptions about the distribution of the underlying data. NMS was used to explore that DGT-labile concentra-tions of trace metals were influenced by sediment properties. NMS results indicated that most DGT-labile trace metals in-fluenced by sediment properties. Risk assessment of single trace metal toxicity revealed that risk quotient (RQ) values for Mn, Cu, Zn and Pb significantly exceeded 1, demonstrating that the toxic effects of these trace metals should be not ig-nored. The probabilistic ecological risk assessment for integral toxicity of one mixture of 14 trace metals revealed that Daya Bay surface sediments had a low probability (9.04 %) of adverse effects on aquatic biota.

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