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Revealing Microplastic risks in stratified water columns of the East China Sea offshore

Water Research 2024 18 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Qiqi Chen, Qiqi Chen, Jiawei Li, Yuanyuan Tang Yuanyuan Tang, Yang Liu, Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Qiqi Chen, Yuanyuan Tang Yixin Liao, Qiqi Chen, Yixin Liao, Jiawei Li, Yuanyuan Tang Jiawei Li, Yixuan Cai, Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Jiawei Li, Yixuan Cai, Lili Liu, Yuanyuan Tang Yixin Liao, Yixin Liao, Yuanyuan Tang Yuanyuan Tang Yixuan Cai, Yuanyuan Tang, Yuanyuan Tang Lili Liu, Lili Liu, Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang, Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang, Jiawei Li, Yuanyuan Tang, Yuanyuan Tang Yuanyuan Tang, Yuanyuan Tang Yuanyuan Tang Yuanyuan Tang

Summary

This study mapped microplastic distribution across different depth layers in the East China Sea and assessed their potential toxicity to marine organisms. Significant differences in microplastic characteristics were found between water layers, with certain depths posing higher ecological risks. Since the East China Sea is an important fishing ground, understanding how microplastics distribute through the water column helps assess risks to seafood safety and human health.

Body Systems
Study Type Environmental

Microplastics have been proven to impact a broad range of marine species significantly. This study investigated the vertical distribution characteristics of microplastics (MPs) to verify their potential toxicity, distribution patterns, and affecting probability on organisms offshore of the East China Sea (ECS), China. Significant variations in MP characteristics across stratified water layers were identified and corroborated through artificial neural network (ANN) analysis. By a combination of species sensitivity distribution (SSD), risk quotient (RQ) and joint probability curves (JPC) method, this study gave the regional risk thresholds and current risk distributions. Based on SSD, the derived predicted no-effect concentration for the ecosystem was 52.0 items/L (95 % confidence interval: 13.7-262.8 items/L), with the 5 % species hazardous concentration at 103.6 items/L. The RQ assessment results indicated varying ecological risk levels across different water layers, with the highest risks transitioning from north to south and from surface to bottom layers. Most sites exhibited a moderate risk level, with the highest risks identified in surface water near the Yangtze River Estuary, China. Conversely, the JPC analysis suggested a minimal ecological risk across the study area, emphasizing variable ecological risk contingent on species presence. This study underscores the importance of examining surface and intermediate water layers for marine habitats and organisms, highlighting the necessity of prioritizing investigations into the distribution of MPs across different water layers in the ECS, particularly focusing on buoyant polyester fibers present in the upper water column and the layers beneath the offshore surface.

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