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Seasonal distribution of microplastics and associated ecological risks in a semi-arid freshwater ecosystem in India

Environmental Pollution 2025 10 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.
Prashant Kumar Jaiswal, V. Vijayan, Sanjeev Kumar, Rajesh Kumar, Ritu Singh

Summary

Researchers measured microplastic contamination across seasons in a semi-arid lake in northwestern India and found significantly higher levels after the monsoon season compared to before. The most common plastics detected were polyethylene, polypropylene, and polystyrene, mostly in the form of fragments and fibers smaller than 500 micrometers. Risk assessments indicated that about 70% of the lake area faces very high ecological risk from microplastic pollution in both seasons.

Study Type Environmental

Microplastics are persistent contaminants across all environmental matrices. However, there is a paucity of studies conducted in semi-arid aquatic environments. The present study investigated the seasonal variations in the distribution and characteristics of microplastics in water samples of Man Sagar Lake in northwestern India. The findings revealed that the average abundance of microplastics in samples was notably lower during the pre-monsoon season (42.93 ± 29.72 particles/L) compared to the post-monsoon season (70.54 ± 36.53 particles/L). A significant difference in microplastic abundance across different sampling locations was observed between the two seasons (F = 7.82, p < 0.0001). The majority of microplastics present in the samples during both seasons measured less than 500 μm in size, with fragments and fibers being the predominant shapes, and transparent being the most common-colored microplastic. The most abundant polymers detected were polyethylene, polypropylene, and polystyrene. Microplastic contamination factor (MCf) and Pollution Load Index (PLI >1) indicated a moderate to high level of microplastic contamination across all the sampling locations in both seasons. Furthermore, the potential ecological risk index (PERI) indicated that nearly 70 % of the lake area falls under the category of very high ecological risk in both seasons. Additionally, Spearman's correlation and PCA were employed to assess the interactions of microplastics with water quality parameters and potential source identification, respectively. The study's findings could help in developing region-specific remediation and prevention strategies by identifying high-risk areas and potential sources contributing to microplastic contamination.

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