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. Marine & Wildlife Sign in to save

Memory effects in wave-induced microplastic transport

arXiv (Cornell University) 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Eby, Mary, Cummins, Cathal

Summary

Researchers developed an improved model for wave-induced microplastic transport that incorporates the Basset-Boussinesq history force using a multistep integration scheme, extending the applicability of existing transport models to larger microplastic particle sizes in ocean surface waves of arbitrary depth. The study demonstrates that memory effects in particle-wave interactions produce transport behavior that departs significantly from simple Stokes drift predictions.

Study Type Environmental

Microplastics are transported by ocean surface waves in ways that depart significantly from the Stokes drift of fluid parcels, and accurate modeling of this transport requires accounting for forces beyond linear drag. Existing modeling of microplastic transport often neglect the Basset-Boussinesq history force, effectively limiting their use to the smallest particle sizes. Here, we extend the applicability of these models by implementing the history term with a multistep integration scheme, allowing us to capture the transport of larger microplastics in linear surface waves of arbitrary depth. We quantify when the Basset-Boussinesq history force significantly affects microplastic transport by surface gravity waves. We show that memory effects become the leading-order horizontal drag once $S=St/γ^2$ exceeds a critical value $S\approx 0.25$, where $St$ is the Stokes number and $γ$ is the density ratio of the particle and the fluid. The corresponding critical $St$ number is found to be a factor of about three smaller than that given by classical inertial estimates that neglect history effects. These results help provide regime maps that can be used to indicate when history effects can be safely neglected. Our simulations also reveal that history effects significantly increase horizontal transport distances and enhance orbit shearing of particle ensembles.

Share this paper