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Meta Analysis ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 1 ? Systematic review or meta-analysis. Synthesizes findings across many studies. Strongest evidence. Environmental Sources Sign in to save

Global patterns of lake microplastic pollution: Insights from regional human development levels

The Science of The Total Environment 2024 38 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 75 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Ping Wang, Shiqi Liu, Chunnuan Deng, Dan Chen, Rui Wang, Yaping Wu, A‐Xing Zhu

Summary

A meta-analysis of 351 lakes across 43 countries found microplastic concentrations ranging from 0.09 to 130,000 items/m3 in surface water, with fibers as the dominant shape and polyethylene, polypropylene, and PET as the most common polymers. Countries with lower human development indices actually showed higher contamination levels, suggesting that waste management capacity is a key driver of lake microplastic pollution.

Study Type Review

Microplastics have emerged as a pervasive pollutant across various environmental media. Nevertheless, our understanding of their occurrence, sources, and drivers in global lakes still needs to be completed due to limited data. This study compiled data from 117 studies (2016-May 2024) on microplastic contamination in lake surface water and sediment, encompassing surface water samples in 351 lakes and lake sediment samples in 200 lakes across 43 countries. Using meta-analysis and statistical methods, the study reveals significant regional variability in microplastic pollution, with concentrations ranging from 0.09 to 130,000 items/m in surface water and from 5.41 to 18,100 items/kg in sediment. Most microplastics were under 1 mm in particle size, accounting for approximately 79 % of lake surface water and 76 % of sediment. Transparent and blue microplastics were the most common, constituting 34 % and 21 % of lake surface water and 28 % and 18 % of sediment, respectively. Fibers were the dominant shape, representing 47 % of lake surface water and 48 % of sediment. The primary identified polymer types were polyethylene (PE), polypropylene (PP), and polyethylene terephthalate (PET). Countries like India, Pakistan, and China had higher contamination levels. Positive correlations were found between microplastic abundance in surface water and factors like human footprint index (r = 0.29, p < 0.01), precipitation (r = 0.21, p < 0.05), and net surface solar radiation (r = 0.43, p < 0.001). In contrast, negative correlations were observed with the human development index (r = -0.61, p < 0.01) and wind speed (r = -0.42, p < 0.001). In sediment, microplastics abundance correlated positively with the human footprint index (r = 0.45, p < 0.001). This study underscores the variability in microplastic pollution in global lakes and the role of human activities and environmental factors, offering a valuable reference for future research.

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