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Factors Influencing the Spatial Distribution of Microplastics in Lakes with the Example of Dianchi Lake

Water 2025 1 citation ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 43 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Chunnuan Deng, Yuejiao Huang, Yao Hu, Quan Zhang, Hui Zhao

Summary

Scientists studied how underwater slope, water depth, and distance from pollution sources affect where microplastics accumulate within Dianchi Lake in China. Counterintuitively, they found that microplastics were most concentrated at the lake's center rather than near its shores, and that underwater slope — not depth or proximity to pollution sources — was the strongest predictor of distribution. Understanding within-lake distribution patterns helps identify ecological hotspots and informs smarter placement of monitoring stations.

The spatial law and influencing factors of microplastics in lakes are an important part of microplastic research. This study focused on exploring the influences of factors such as the underwater slope, water depth, and pollution source/shore distance of a lake on the spatial distribution of lake MPs (microplastics). The relationships between the underwater slope, other factors, and the concentration of MPs were analyzed. The results showed that the average abundance of MPs in Dianchi Lake was 129 n/m3, and the spatial distribution pattern was higher in the lake center and lower in the lake shore. The correlation analysis showed that MP abundance was not significantly associated with distance to pollution sources or water depth, but it was significantly correlated with slope (p < 0.05) and offshore distance (p < 0.01). There was a significant negative correlation between the abundance of MPs and the underwater slope. The greater the underwater slope, the lower the abundance of MPs; the smaller the underwater slope, the higher the abundance of MPs. There was a significant positive correlation between the abundance of MPs and offshore distance. The abundance of MPs increased with increasing offshore distance. These new discoveries will help us better understand the spatial patterns of MPs in lakes.

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