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Technical note: On the importance of a three-dimensional approach for modelling the transport of neustic microplastics

2019 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Isabel Jalón‐Rojas, Xiao Hua Wang, Erick Fredj

Summary

Researchers modeled the transport of buoyant microplastics in surface waters using a 3D Lagrangian approach, finding that ignoring vertical mixing significantly underestimates horizontal dispersal distances compared to 2D models. The results highlight the importance of three-dimensional modeling for accurately predicting where microplastics end up in marine environments.

Abstract. Understanding and estimating the distribution and transport of microplastics in marine environments has been recognized as a major global research issue. Most of the existing research on transport modelling has focused on low-dense particles floating in surface waters, using a 2D Lagrangian approach and ignoring the vertical displacement of particles. In this work, we evaluate to what extent the vertical movement of particles within surface waters by mixing processes may affect the horizontal transport and fate of microplastics. The aim is to determinate whether a 2D approach is sufficient for the accurate modelling of neustic-microplastics transport or a 3D approach is necessary. For this purpose, we compare visually and statistically the microplastics transport patterns of three simulations in a coastal system: one using a 2D approach; and two using a 3D approach with weak and strong vertical turbulence, respectively. The 2D simulation roughly reproduced the transport and accumulation patterns, but accurate results required a 3D approach. This was particularly important for strong vertical turbulence and regions characterized by strong vertical current shear. Moreover, a 2D approach can lead to errors in the results even with negligible turbulence due to simplifications in the velocity field. A 3D modelling approach is therefore key to an accurate estimation and prediction of microplastics distribution in coastal systems, and consequently for planning mitigation and cleaning programs.

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