Nutrients and metal(loid)s in surface sediments of the Chishui River: A DGT-based assessment of the last natural tributary of the upper Yangtze River (China)
文献类型： 外文期刊
作者： Xia, Wei 1 ; Zhang, Tian-Xin 2 ; Li, Xue 1 ; Gao, Yanpeng 3 ; Jordan, Richard W. 4 ; Su, Hong 2 ; Jiang, Shi-Jun 5 ; Gu, Yang-Guang 6 ;
作者机构： 1.Moutai Inst, Dept Resources & Environm, Dept Food Sci & Engn, Renhuai 564507, Peoples R China
2.Jinan Univ, Coll Life Sci & Technol, Guangzhou 510632, Peoples R China
3.Guangdong Univ Technol, Inst Environm Hlth & Pollut Control, Guangzhou 510006, Peoples R China
4.Yamagata Univ, Fac Sci, Yamagata 9908560, Japan
5.Hainan Univ, State Key Lab Marine Resource Utilizat South China, Haikou 570228, Peoples R China
6.Chinese Acad Fishery Sci, South China Sea Fisheries Res Inst, Guangzhou 510300, Peoples R China
7.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519000, Peoples R China
关键词： Sediments; Ecotoxicological risk; Metals; Aquatic biota; DGT technique; SPI model
期刊名称：ENVIRONMENTAL RESEARCH （ 影响因子：7.7； 五年影响因子：7.7 ）
ISSN： 0013-9351
年卷期： 2025 年 275 卷
页码：
收录情况： SCI
摘要： This study investigates the distribution and probabilistic ecotoxicological risk assessment of nutrients and metal (loid)s in the Chishui River, the last natural tributary of the upper Yangtze River, which plays a crucial role in maintaining regional biodiversity and water quality. Understanding the impact of contaminants in this ecologically significant river is essential for effective environmental management. Sediment samples were analyzed using diffusive gradients in thin films (DGT) to measure labile concentrations of nutrients and metal(loid)s, revealing significant spatial variability. Concentrations of PO4-P, NH4-N, NO3-N, and metal(loid)s such as Mn, Fe, Cu, and Zn varied notably across sampling sites. Risk quotient (RQ) analysis identified Mn as posing the highest ecological risk, followed by Cu and Fe. A combined probabilistic risk assessment using the SPI (Species Sensitivity Distribution-Probabilistic Risk Assessment-Inclusion-Exclusion Principle) model indicated a 32.46 % probability of toxic effects from nutrient and metal(loid) mixtures on aquatic organisms. This study underscores the effectiveness of DGT technology in assessing bioavailable contaminants and highlights the need for targeted risk management strategies to mitigate ecological impacts in the Chishui River.
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