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Supplementary information files for "The transport and vertical distribution of microplastics in the Mekong River, SE Asia"

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DataCite Commons2025-05-06 更新2025-05-17 收录
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https://repository.lboro.ac.uk/articles/dataset/Supplementary_information_files_for_The_transport_and_vertical_distribution_of_microplastics_in_the_Mekong_River_SE_Asia_/28938317/1
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Supplementary files for article "The transport and vertical distribution of microplastics in the Mekong River, SE Asia"<br><br>Rivers are primary vectors of plastic debris to oceans, but sources, transport mechanisms, and fate of fluvial microplastics (&lt;5 mm) remain poorly understood, impeding accurate predictions of microplastic flux, ecological risk and socio-economic impacts. We report on microplastic concentrations, characteristics and dynamics in the Mekong River, one of the world’s largest and polluting rivers, in Cambodia and Vietnam. Sampling throughout the water column at multiple localities detected an average of 24 microplastics m−3 (0.073 mgl−1). Concentrations increased downstream from rural Kampi, Cambodia (344 km from river mouth; 2 microplastics m−3, 0.006 mgl−1), to Can Tho, Vietnam (83 km from river mouth; 64 microplastics m−3, 0.182 mg l−1) with most microplastics being fibres (53 %), followed by fragments (44 %) and the most common polymer being polyethylene terephthalate (PET) or polyester. Pathways of microplastic pollution are expected to be from urban wastewater highlighting the need for improved wastewater treatment in this region. On average, 86 % of microplastics are transported within the water column and consequently we identified an optimum sampling depth capturing a representative flux value, highlighting that sampling only the water surface substantially biases microplastic concentration predictions. Additionally, microplastic abundance does not linearly follow discharge changes during annual monsoonal floods or mirror siliciclastic sediment transport, as microplastic concentrations decrease rapidly during higher monsoon flows. The findings reveal complex microplastic transport in large rivers and call for improved sampling methods and predictive models to better assess environmental risk and guide policy.<br><br>© The Author(s), CC BY-4.0
提供机构:
Loughborough University
创建时间:
2025-05-06
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