0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Environmental Sources Marine & Wildlife Sign in to save

Tracking the sources of atmospheric microplastic using FLEXPART v.

2024 Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Daria Tatsii, Daria Tatsii, Daria Tatsii, Daria Tatsii, Ioanna Evangelou, Lucie Bakels, Lucie Bakels, Lucie Bakels, Lucie Bakels, Lucie Bakels, Lucie Bakels, Lucie Bakels, Daria Tatsii, Daria Tatsii, Daria Tatsii, Daria Tatsii, Daria Tatsii, Daria Tatsii, Silvia Bucci, Silvia Bucci, Silvia Bucci, Silvia Bucci, Silvia Bucci, Silvia Bucci, Ioanna Evangelou, Ioanna Evangelou, Ioanna Evangelou, Ioanna Evangelou, Ioanna Evangelou, Ioanna Evangelou, Ioanna Evangelou, Daria Tatsii, Daria Tatsii, Daria Tatsii, Silvia Bucci, Silvia Bucci, Silvia Bucci, Silvia Bucci, Ioanna Evangelou, Ioanna Evangelou, Ioanna Evangelou, Daria Tatsii, Daria Tatsii, Daria Tatsii, Silvia Bucci, Daria Tatsii, Daria Tatsii, Daria Tatsii, Daria Tatsii, Daria Tatsii, Ioanna Evangelou, Silvia Bucci, Ioanna Evangelou, Ioanna Evangelou, Silvia Bucci, Ioanna Evangelou, Silvia Bucci, Ioanna Evangelou, Silvia Bucci, Ioanna Evangelou, Silvia Bucci, Silvia Bucci, A. Stohl A. Stohl A. Stohl Lucie Bakels, Lucie Bakels, Lucie Bakels, Lucie Bakels, A. Stohl A. Stohl A. Stohl Lucie Bakels, A. Stohl A. Stohl Silvia Bucci, A. Stohl A. Stohl Silvia Bucci, Silvia Bucci, Lucie Bakels, A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl Lucie Bakels, Lucie Bakels, Lucie Bakels, Silvia Bucci, Silvia Bucci, A. Stohl A. Stohl A. Stohl A. Stohl A. Stohl Silvia Bucci, Silvia Bucci, Silvia Bucci, Silvia Bucci, A. Stohl A. Stohl A. Stohl A. Stohl

Summary

Researchers used the FLEXPART atmospheric particle dispersion model to track the sources and transport pathways of atmospheric microplastics detected at monitoring sites around the world, accounting for the complex shapes of microplastic fibres that complicate standard atmospheric transport modelling. The study aimed to reduce uncertainty in source attribution for atmospheric microplastics and characterise the relative contributions of different emission sources including urban areas, oceans, and agricultural regions.

An emerging number of studies highlighted the presence of microplastic in the atmosphere all over the world. The presence of such particles has been observed at the poles, in the marine atmosphere above the surface of the oceans, in clouds, on the fresh snow of high mountains and high concentrations has been observed in the atmospheric fallout in densely populated areas. Despite so, the main sources of atmospheric microplastic are still not well characterized and there are high uncertainties in the attempts of estimating their relative contributions. In addition, the peculiar shape of some of these particles, e.g. the very elongated fibers, complicates tracking their atmospheric transport. In this work, we explore the contribution of different sources adopting a Lagrangian approach to analyze the existing timeseries of microplastic concentrations. To do so, we exploit the new version of the Lagrangian model FLEXPART v11 (L. Bakels et al. 2024, in preparation), which also has the capability of considering the differences in the atmospheric lifetimes of irregular particles such as flattened or elongated plastic film or fibers (D. Tatsii et al. 2023). The results will highlight the areas of main emission for the regions of observations and help advance in our understanding of the sources of atmospheric microplastic pollution.

Sign in to start a discussion.

Share this paper