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Research Progress of Microplastic Pollution Status and Risk Assessment of Typical Rivers in China

Journal of Physics Conference Series 2024 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jie Zhang, Lei Hong, Ke Wu, Qun Wang, Mengmeng Li, Li Xu, Li Xu, Jie Jin

Summary

Rivers across China carry substantial microplastic loads, and this review finds that abundance is closely tied to population density, with urban rivers showing higher concentrations than rural ones. More than 60% of microplastics detected in most rivers were smaller than 1 mm — the size range most readily ingested by aquatic organisms and most difficult to remove by conventional treatment. The authors identify sewage plants, surface runoff, and atmospheric deposition as the main sources, and flag gaps in current risk assessment frameworks for river microplastics.

Study Type Environmental

Abstract Microplastics (MPs) have received a lot of attention since they were recognized as an emerging pollutant. Rivers transport 80 % of the land’s MPs to the oceans. With so many rivers in China, the problem of MPs pollution cannot be ignored. This paper collects data related to MPs in typical rivers in China, summarizes the sources of river MPs, and analyses the status of river MPs pollution and risk evaluation. The results show that riverine MPs mainly originate from sewage treatment plants, surface runoff, atmospheric deposition and plastic breakage. MPs abundance is closely related to population density, with urban rivers having higher MPs abundance than other regions. MPs less than 1 mm in size account for more than 60 % of most rivers. At present, the risk assessment of river MPs is mainly based on three methods, namely, the ecological risk index (PHI), the pollution load index (PLI) and the potential ecological risk index (PERI), and the results of the assessment are mostly low risk. There are differences in the results of the assessment models, which need to be applied jointly with each other for continuous improvement.

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