Temporal and Spatial Analysis of Trace Metal Ecotoxicity in Sediments of Chaohu Lake, China

Overview

Journal Toxics

Date 2025 Jan 8

PMID 39771138

Authors

Wenguang Luo

Zongjun Li

Ran Yi

Lijuan Han

Senlin Zhu

Affiliations

Soon will be listed here.

Abstract

The species sensitivity distribution (SSD) analysis for aquatic ecosystems has been increasingly used in risk assessment. However, existing analyses of the impact of trace metals in lake sediments on aquatic organisms often neglect the spatiotemporal variability of trace metal release. This oversight can result in ecological risk assessments that lack specificity. To address this gap, we collected 32 core sediment samples from Lake Chaohu to systematically investigate the ecological toxicological risks posed by the release of eight trace metal indicators into the overlying water column under four hydrological scenarios throughout the year. Results indicated that only Cu, Pb, and Zn exhibit persistent toxicological risks. The comprehensive ecological toxicological risk of sediment trace metals showed spatial differences, increasing from the western region to the eastern region, i.e., western region < central region < eastern region. Seasonally, the risk levels are ordered as follows: May < September < November to April of the following year < June to August. The eastern region in summer (June to August) was identified as the high-risk area and period for trace metal pollution in sediments. Based on these conclusions, it is recommended to implement pollution control and environmental monitoring measures in the eastern region during the summer to effectively control the pollution and ecological risks of trace metals.

Citing Articles

Environmental Risk Assessment of Trace Metal Pollution: A Statistical Perspective.

Ogwu M, Izah S, Sawyer W, Amabie T Environ Geochem Health. 2025; 47(4):94.

PMID: 40019615 PMC: 11870910. DOI: 10.1007/s10653-025-02405-z.

References

Gu Y, Huang H, Jiang S, Gong X, Liao X, Dai M . Appraising ecotoxicological risk of mercury species and their mixtures in sediments to aquatic biota using diffusive gradients in thin films (DGT). Sci Total Environ. 2022; 825:154069. DOI: 10.1016/j.scitotenv.2022.154069. View

Luo W, Yue Y, Lu J, Pang L, Zhu S . Sediment phosphate release flux under hydraulic disturbances in the shallow lake of Chaohu, China. Environ Sci Pollut Res Int. 2022; 29(40):60843-60851. DOI: 10.1007/s11356-022-20102-7. View

Shao D, Zhan Y, Zhou W, Zhu L . Current status and temporal trend of heavy metals in farmland soil of the Yangtze River Delta Region: Field survey and meta-analysis. Environ Pollut. 2016; 219:329-336. DOI: 10.1016/j.envpol.2016.10.023. View

Zhu S, Zhang Z, Zagar D . Mercury transport and fate models in aquatic systems: A review and synthesis. Sci Total Environ. 2018; 639:538-549. DOI: 10.1016/j.scitotenv.2018.04.397. View

Fang T, Yang K, Wang H, Fang H, Liang Y, Zhao X . Trace metals in sediment from Chaohu Lake in China: Bioavailability and probabilistic risk assessment. Sci Total Environ. 2022; 849:157862. DOI: 10.1016/j.scitotenv.2022.157862. View

Su K, Wang Q, Li L, Cao R, Xi Y . Water quality assessment of Lugu Lake based on Nemerow pollution index method. Sci Rep. 2022; 12(1):13613. PMC: 9365778. DOI: 10.1038/s41598-022-17874-w. View

Albarano L, Lofrano G, Costantini M, Zupo V, Carraturo F, Guida M . Comparison of in situ sediment remediation amendments: Risk perspectives from species sensitivity distribution. Environ Pollut. 2020; 272:115995. DOI: 10.1016/j.envpol.2020.115995. View

Del Signore A, Hendriks A, Lenders H, Leuven R, Breure A . Development and application of the SSD approach in scientific case studies for ecological risk assessment. Environ Toxicol Chem. 2016; 35(9):2149-61. DOI: 10.1002/etc.3474. View

Zhang S, Zeng X, Sun P, Ni T . Ecological risk characteristics of sediment-bound heavy metals in large shallow lakes for aquatic organisms: The case of Taihu Lake, China. J Environ Manage. 2023; 342:118253. DOI: 10.1016/j.jenvman.2023.118253. View

10.

Amato E, Marasinghe Wadige C, Taylor A, Maher W, Simpson S, Jolley D . Field and laboratory evaluation of DGT for predicting metal bioaccumulation and toxicity in the freshwater bivalve Hyridella australis exposed to contaminated sediments. Environ Pollut. 2018; 243(Pt B):862-871. DOI: 10.1016/j.envpol.2018.09.004. View

11.

Li X, Yang Y, Yang J, Fan Y, Qian X, Li H . Rapid diagnosis of heavy metal pollution in lake sediments based on environmental magnetism and machine learning. J Hazard Mater. 2021; 416:126163. DOI: 10.1016/j.jhazmat.2021.126163. View

12.

He W, Qin N, Kong X, Liu W, He Q, Wang Q . Water quality benchmarking (WQB) and priority control screening (PCS) of persistent toxic substances (PTSs) in China: necessity, method and a case study. Sci Total Environ. 2013; 472:1108-20. DOI: 10.1016/j.scitotenv.2013.11.119. View

13.

Fox D, van Dam R, Fisher R, Batley G, Tillmanns A, Thorley J . Recent Developments in Species Sensitivity Distribution Modeling. Environ Toxicol Chem. 2020; 40(2):293-308. DOI: 10.1002/etc.4925. View

14.

Backhaus T, Faust M . Predictive environmental risk assessment of chemical mixtures: a conceptual framework. Environ Sci Technol. 2012; 46(5):2564-73. DOI: 10.1021/es2034125. View

15.

Lee M, Lee J, An Y, Park C, Lee S, Park J . Development of water quality criteria for arsenic to protect aquatic life based on species sensitivity distribution. Ecotoxicol Environ Saf. 2019; 189:109933. DOI: 10.1016/j.ecoenv.2019.109933. View

16.

Fang T, Lu W, Cui K, Li J, Yang K, Zhao X . Distribution, bioaccumulation and trophic transfer of trace metals in the food web of Chaohu Lake, Anhui, China. Chemosphere. 2018; 218:1122-1130. DOI: 10.1016/j.chemosphere.2018.10.107. View

17.

Qin Y, Tao Y . Pollution status of heavy metals and metalloids in Chinese lakes: Distribution, bioaccumulation and risk assessment. Ecotoxicol Environ Saf. 2022; 248:114293. DOI: 10.1016/j.ecoenv.2022.114293. View

18.

Yang J, Sun F, Su H, Tao Y, Chang H . Multiple Risk Assessment of Heavy Metals in Surface Water and Sediment in Taihu Lake, China. Int J Environ Res Public Health. 2022; 19(20). PMC: 9603460. DOI: 10.3390/ijerph192013120. View

19.

Hoppe S, Sundbom M, Borg H, Breitholtz M . Predictions of Cu toxicity in three aquatic species using bioavailability tools in four Swedish soft freshwaters. Environ Sci Eur. 2015; 27(1):25. PMC: 5044935. DOI: 10.1186/s12302-015-0058-1. View

20.

Lu R, Rong S, Wu J, Yue W, Li Q . Pollution Assessment and SSD-Based Ecological Assessment of Heavy Metals in Multimedia in the Coast of Southeast China. Int J Environ Res Public Health. 2022; 19(23). PMC: 9736362. DOI: 10.3390/ijerph192316022. View