Geographical features and management strategies for microplastic loads in freshwater lakes

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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Publication Details

Journal
npj Clean Water
Published
2025-04-07
DOI
https://doi.org/10.1038/s41545-025-00459-1
Citations
14
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
7.05

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article

Geographical features and management strategies for microplastic loads in freshwater lakes

Xuerui Niu, Ping Gong, Yunqiao Zhou, Jiamin Zeng et al.
14 citations
npj Clean Water
Microplastics and Plastic Pollution
7.05
article

Geographical features and management strategies for microplastic loads in freshwater lakes

Xuerui Niu, Ping Gong, Yunqiao Zhou, Jiamin Zeng, Qiuzhen Yin, Lei Chai, Xiaoping Wang, Li Xu, Hui‐Ning Dong, Ruixuan Zhang
article en
14 citations

Abstract

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.

npj Clean WaterVol. 8(1)
Beijing Municipal Ecological and Environmental Monitoring Center (CN), Institute of Tibetan Plateau Research (CN), Beijing Academy of Agricultural and Forestry Sciences (CN), University of Chinese Academy of Sciences (CN), China Agricultural University (CN), Lanzhou University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 2%
Microplastics and Plastic Pollution
7.05
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