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A theory for attractors of microplastic particles in the resonant structures of a 3D eddy

Chaos An Interdisciplinary Journal of Nonlinear Science 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lawrence J. Pratt, Irina I. Rypina

Summary

Researchers developed a theoretical framework predicting the formation of attractors — closed-loop trajectories — for microplastic particles within the resonant structures of three-dimensional ocean eddies. The theory establishes criteria for when such attractors exist and provides a mechanism explaining observed accumulation of small rigid particles in recirculating oceanic flows.

Study Type Environmental

Recent laboratory and numerical investigations have revealed the presence of a variety of attractors, usually in the form of closed loops, for small, rigid spheres in recirculating fluid flows. We present a theory that predicts the presence of such attractors and sets down criteria for their existence in swirling, 3D vortex flows that serve as idealizations of ocean eddies. The three-dimensional fluid circulation in the eddy consists of a horizontal azimuthal flow along with an overturning component, and when this circulation is steady and axially symmetric, the fluid trajectories are confined to a set of nested tori that foliate the container. In this "background" state, a single attractor for slightly buoyant rigid spheres may exist close to the center of the nested tori. When the axisymmetric background flow is perturbed by a non-symmetric, and possibly time-dependent, disturbance, additional attractors can arise within new Kolmogorov-Arnold-Moser tori that appear in the resonant structures created by the disturbance. The tori appear as "islands" in the stroboscopic sections for fluid parcels. Under conditions laid out in the theory, an attracting orbit for slightly buoyant rigid spheres can form near the center of an island. The criteria are tested against numerical simulations of rigid particle trajectories using the Maxey-Riley equations.

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