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[Distribution, Risk, and Influencing Factors of Microplastics in Surface Water of Huangshui River Basin].
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Researchers collected 63 surface water samples across the Huangshui River Basin on the Qinghai-Tibet Plateau during the wet season, using metallographic microscopy and Fourier infrared spectroscopy to characterize microplastic distribution, and applied risk index and pollution load index models to evaluate ecological risks.
In order to explore the distribution of microplastics in the freshwater environment of Qinghai-Tibet Plateau, 63 surface water samples were collected in Huangshui River basin of Qinghai province during the wet season, and the distribution characteristics and main influencing factors of microplastics in the surface water were analyzed by means of metallographic microscope, Fourier infrared spectroscopy, field investigation, and image data analysis. The potential ecological risks of microplastics were evaluated using risk index (H) and pollution load index (PLI) models. The abundance of microplastics in surface water ranged from 665-8780 n·m-3, with the highest average abundance of 5414 n·m-3 in Huangyuan County. The abundance of microplastics increased from upstream to downstream. The main colors of microplastics were transparent (67%) and black (17%), and the particle size was less than 50 μm (70%). Polyethylene (66%) and polypropylene (12%) were the main polymer types. The abundance of microplastics was positively correlated with cultivated land area, precipitation, and ultraviolet intensity, but the opposite results were observed in dissolved oxygen, redox potential, and wind speed. Additionally, the potential ecological risk of surface water in the Huangshui River basin was relatively low.
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Researchers investigated microplastic occurrence, spatial distribution drivers, and risk assessment in surface water of Taihu Lake, Taipu River, and Huangpu River in China's Yangtze River Delta using field sampling, stereomicroscopy, and Fourier transform infrared spectroscopy. Network analysis was applied to identify driving factors behind the spatial distribution patterns of microplastic pollution across these interconnected freshwater systems.
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