Probabilistic risk assessment of fifteen metal(loid)s and their mixtures in surface sediment of Hongze Lake (China) using the diffusive gradients in thin films (DGT) technique

Probabilistic risk assessment of fifteen metal(loid)s and their mixtures in surface sediment of Hongze Lake (China) using the diffusive gradients in thin films (DGT) technique

Freshwater lakes in China face increasing environmental pressures due to rapid urbanization and industrialization, with metal pollution emerging as a significant concern. Despite this, the ecological risk assessment of metal mixtures in lake sediment remains limited. The current study addresses this...

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Bibliographic Details
Main Authors: Changjiang Ma, Yang-Guang Gu, Richard W. Jordan, Shi-Jun Jiang, Meirong Wang
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-06-01
Series:International Journal of Sediment Research
Subjects:
Inclusion-exclusion principle
Aquatic biota
DGT-labile metals
Ecological risk
Metal mixtures
Freshwater lake
Online Access:http://www.sciencedirect.com/science/article/pii/S1001627925000071
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Summary:Freshwater lakes in China face increasing environmental pressures due to rapid urbanization and industrialization, with metal pollution emerging as a significant concern. Despite this, the ecological risk assessment of metal mixtures in lake sediment remains limited. The current study addresses this gap by utilizing the diffusive gradients in thin films (DGT) technique to investigate the distribution and ecological risk of metals and arsenic in surface sediment of Hongze Lake, China. Substantial variations in metal concentrations were found across sampling sites, with average values of manganese (Mn) (1,730.56 μg/L) and iron (Fe) (930.58 μg/L) being notably high. The ecological risk quotient (RQ) values for Mn and Fe exceeded 1 at all sites, indicating substantial ecological risks, while copper (Cu) and arsenic (As) had RQ values near or above 1 at most sites. A joint probabilistic risk assessment using the species sensitivity distribution (SSD) method revealed a 30.31% probability of concurrent toxic effects on aquatic organisms. These results highlight the pressing need for proactive measures to mitigate metal contamination risks in Hongze Lake. The current study provides critical insight into the ecological risks associated with metal pollution and underscores the importance of effective environmental management to preserve the lake's ecosystem.
ISSN:1001-6279

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