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Using dynamic release modeling to predict historic and current macro- and microplastic releases

Resources Conservation and Recycling 2024 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Zipeng Liu, Bernd Nowack

Summary

Using a dynamic material flow model, researchers tracked how macro- and microplastics have been released to the Swiss environment from 1950 to 2022 across 35 product categories and 183 release pathways. The model found that per-capita plastic use peaked around 2010 and has since declined slightly, but over the full period roughly 27 kg of macroplastics and 4 kg of microplastics per person were released to the environment — providing a quantitative baseline for designing more targeted reduction policies.

Confronting the pervasive challenge of plastic pollution, our study pioneers a dynamic release model to quantify the historic and current plastic emissions. Utilizing Dynamic Probabilistic Material Flow Analysis (DPMFA) coupled to a release model, we comprehensively tracked emissions of macro- and microplastics in Switzerland from 1950 to 2022, covering 35 product categories and 183 release pathways for seven polymers (LDPE, HDPE, PP, PS, EPS, PVC, PET). The plastic usage exhibited a “Peak Plastic” around the year 2010 with a subsequent decrease in per capita use of plastics from 120±5 to 107±5 kg/cap in 2022. Over the considered timeframe, 27±1 kg/cap of macroplastics and 4 ± 1 kg/cap of microplastics were released to the environment, with the most substantial contributions coming from LDPE and PET. The overall emission factor was 0.66±0.07 % for macroplastics and 0.010±0.01 % for microplastics. The model can provide a crucial framework for crafting targeted interventions toward sustainable plastic lifecycle management.

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