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A method for measuring the emissions of in situ agricultural plastic film microplastics by ultraviolet and mechanical abrasion

The Science of The Total Environment 2021 27 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Shu-Yan Ren, Hong‐Gang Ni

Summary

Researchers developed a method to measure in situ microplastic emissions from agricultural plastic films under combined UV and mechanical abrasion, providing the first quantitative approach to assess how field conditions cause polyethylene and PVC films to fragment into microplastics.

Agricultural plastic film (APF) is widely used in modern agriculture. Under natural environmental conditions, the structure, surface properties and mechanical properties of APFs change because of sunlight, wind and other factors and gradually break into debris, resulting in the generation of microplastics (MPs). Studies have reported that the MPs concentration in soil is positively correlated with the use intensity and duration of APFs. Unfortunately, to the best of our knowledge, no method to measure the emissions of in situ APFs has been developed. In this study, the effects of mechanical abrasion driven by wind on MPs fragmentation by polyethylene (PE) and polyvinyl chloride (PVC) APFs with the increase of exposure time were investigated. Meanwhile, based on the release rate model of PS fragmented MPs under natural sunlight, a modified model to quantify the effect of ultraviolet (UV) radiation exposure duration on the production of APF fragmented MPs was developed. Based on these models, the amount of MPs produced from APFs in farmland in China was estimated. The national annual MPs mass emissions from APFs in agricultural soil were approximately 5 × 10 to 6.8 × 10 tons in 2018 due to wind and 6.5 × 10 tons due to sunlight, and the total emission level due to both wind and sunlight was 5.1 × 10 to 7.0 × 10 tons. Compared with that of wind, the contribution of UV radiation to MPs emission is smaller. Our estimates are comparable to data reported in previous studies, indicating that our models have good practical applications and are of great significance for predicting MPs production from APFs in farmland.

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