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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Sign in to save

Geographical features and management strategies for microplastic loads in freshwater lakes

npj Clean Water 2025 13 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 58 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Hui‐Ning Dong, Ruixuan Zhang, Hui‐Ning Dong, Qiuzhen Yin, Xuerui Niu, Ruixuan Zhang, Ping Gong, Xiaoping Wang Xiaoping Wang Yunqiao Zhou, Xuerui Niu, Xiaoping Wang Xiaoping Wang Ruixuan Zhang, Xuerui Niu, Xiaoping Wang Xiaoping Wang Xiaoping Wang Ping Gong, Li Xu, Jiamin Zeng, Jiamin Zeng, Jiamin Zeng, Ping Gong, Yunqiao Zhou, Jiamin Zeng, Lei Chai, Xiaoping Wang Xuerui Niu, Xuerui Niu, Jiamin Zeng, Ping Gong, Qiuzhen Yin, Li Xu, Ruixuan Zhang, Yunqiao Zhou, Ping Gong, Yunqiao Zhou, Qiuzhen Yin, Xiaoping Wang Xiaoping Wang Xiaoping Wang

Summary

Researchers used machine learning to predict microplastic concentrations in lakes worldwide, estimating that the top 20 meters of global lake water holds roughly 10,167 tons of microplastics — equivalent to 508 million plastic bottles. Agricultural land use and urban development near waterways were the strongest predictors of contamination, with North America, Africa, and Asia showing the heaviest loads.

In recent years, microplastic contamination in freshwater lakes has become a significant environmental concern. Despite this, there remains a lack of comprehensive understanding of the distribution patterns and regional characteristics of microplastic loads in global lacustrine environments under a unified standard. To address this gap, our study utilizes Machine Learning (the random forest algorithm), combined with number-to-mass transformation techniques to generate a global prediction. The results indicate an average microplastic concentration of 0.57 items/m3 in lakes and reservoirs worldwide, with an accumulated microplastic load of 10167 tons within top 20 m of water—equivalent to 508 million plastic bottles. The primary sources of microplastics are linked to agricultural land use and the proportion of urban areas within watersheds. Notably, the highest microplastic loads are observed in North America, Africa, and Asia, though the contributing factors vary, including concentration-dependent and area-dependent influences, as well as differences in shape composition. These findings provide valuable insights that can guide the development of targeted policies to effectively mitigate microplastic pollution in freshwater ecosystems.

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