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Microplastic pollution in Pearl River networks: Characteristic, potential sources, and migration pathways

Water Research 2025 26 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 63 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Jun Wang Jun Wang Huan Wang, Huan Wang, Huan Wang, Huan Wang, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Yi Liu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Tingting Zhu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Huan Wang, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Yi Liu, Jun Wang Yi Liu, Jun Wang Jun Wang Yi Liu, Yi Liu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Yi Liu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Tingting Zhu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Yi Liu, Jun Wang Jun Wang Jun Wang Jun Wang Tingting Zhu, Jun Wang Jun Wang Jun Wang Jun Wang Tingting Zhu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Yi Liu, Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang Jun Wang

Summary

Researchers surveyed microplastic pollution across the Pearl River Basin in China, one of the country's largest river systems, and found microplastics in every water sample at an average of about 1,093 particles per liter. Population density and rainwater runoff were the main factors driving contamination levels, with rainfall washing plastics from land into the river. Since the Pearl River supplies water for millions of people, these findings raise concerns about microplastic exposure through drinking water sources.

Study Type Environmental

Microplastic (MP) pollution has become a global environmental problem with profound impacts on aquatic ecosystems. Although the topic of MPs has attracted high attention, the sources, transport pathway, and removal of MPs in river networks is still unclear. Here, we conducted a field survey across the Pearl River Basin (PRB) (> 4.5 × 10 km) and collected the water samples to characterize the spatial distribution of MPs using a Laser Direct Infrared (LDIR) chemical imaging system. The MPs were detected in all samples with an average abundance of 1092.86 items/L, in which polyamide (PA), polyurethane (PU), and polyvinyl chloride (PVC) are the main polymer types. Population and surface runoff were identified as major factors influencing the concentrations of MPs. The Partial Least Squares Structural Equation Modeling (PLS-PM) analysis revealed that precipitation-induced surface runoff is a major pathway for MPs transferring from terrestrial environment to river networks. River hydraulic dynamics were found to have considerable influence on the selective removal of MPs from water column in the river channel. The smooth state (Froude number, Fr <0.23) promotes while the rough state (Fr > 0.23) inhibits the deposition of MPs from water column to sediments. In particular, the smooth state facilitates the deposition of large-sized and high-density MPs from the water column to sediments. The deposition processes in river channel cause considerable fractionation of polymer types and size of riverine MPs. This study provides the first-hand MP pollution status in the networks of the PRB and provide insights into sources, spatial distribution characteristics, and transmission mechanism of MPs in river networks, which would provide theoretical bases and experimental reference for river water quality management and risk control of MPs for governor, stakeholders, and policy makers.

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