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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

A wave-resolving 2DV Lagrangian approach to model microplastic transport in the nearshore

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.
Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Damien Sous, Damien Sous, Damien Sous, Damien Sous, Vincent Marieu, Damien Sous, Damien Sous, Damien Sous, Vincent Marieu, Damien Sous, Isabel Jalón‐Rojas Isabel Jalón‐Rojas Isabel Jalón‐Rojas Vincent Marieu, Damien Sous, Damien Sous, Damien Sous, Vincent Marieu, Isabel Jalón‐Rojas Damien Sous, Isabel Jalón‐Rojas Vincent Marieu, Damien Sous, Isabel Jalón‐Rojas Isabel Jalón‐Rojas Vincent Marieu, Isabel Jalón‐Rojas

Summary

This study presents a new computer modeling approach to simulate how both floating and sinking microplastics move through wave-dominated nearshore waters, incorporating realistic turbulence, seafloor interactions, and particle settling. Accurate nearshore transport models are critical for predicting where microplastics accumulate along coastlines, how much re-enters the open ocean, and which beaches and coastal ecosystems face the greatest contamination risk.

Study Type Environmental

Abstract. Potentially acting as a source or a sink for plastic pollution to the open ocean, nearshore waters remain a challenging context for predicting the transport and deposition of plastic debris. In this study, we present an advanced modelling approach based on the SWASH wave model and the TrackMPD (v3.0) particle transport model to investigate the transport dynamics of floating and sinking microplastics in wave-dominated environments. This approach introduces novel features such as coupling with advanced turbulence models, simulating resuspension and bedload processes, implementing advanced settling and rising velocity formulations, and enabling parallel computation. The wave laboratory experiments conducted by Forsberg et al. (2020) were simulated to validate the model's ability to reproduce the transport of diverse microplastics (varying in density, shape, and size) along a comprehensive beach profile, capturing the whole water column. Our results underscore the robustness of the proposed model, showing good agreement with experimental data. High-density microplastics moved onshore near the bed accumulating in proximity to the wave-breaking zone, while the distribution of low-density particles varied along the coastal profile depending on the particle properties. The study also sheds light on the primary mechanisms driving microplastic transport, such as Stokes drift, wave asymmetry and settling/rising velocities. Sensitivity analyses on calibration parameters further confirm the robustness of the model results and the influence of these factors on transport patterns. This research establishes the SWASH-TrackMPD approach as a valuable tool, opening avenues for future studies to contextualize laboratory findings within the complexities of real-world nearshore environments and further refine our comprehension of microplastic dynamics across different beaches and wave-climate conditions.

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