We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Transport of anisotropic particles under waves
AI summary Read the abstract
A computer model showed that non-spherical particles (like many microplastic fragments and fibers) behave differently from spherical ones in wave-driven water flow, affecting how they orient and where they travel. Accounting for particle shape is important for accurately predicting where microplastic debris accumulates in coastal and ocean environments.
Using a numerical model, we analyse the effects of shape on both the orientation and transport of anisotropic particles in wavy flows. The particles are idealized as prolate and oblate spheroids, and we consider the regime of small Stokes and particle Reynolds numbers. We find that the particles preferentially align into the shear plane with a mean orientation that is solely a function of their aspect ratio. This alignment, however, differs from the Jeffery orbits that occur in the residual shear flow (that is, the Stokes drift velocity field) in the absence of waves. Since the drag on an anisotropic particle depends on its alignment with the flow, this preferred orientation determines the effective drag on the particles, which in turn impacts their net downstream transport. We also find that the rate of alignment of the particles is not constant and depends strongly on their initial orientation; thus, variations in initial particle orientation result in dispersion of anisotropic-particle plumes. We show that this dispersion is a function of the particle’s eccentricity and the ratio of the settling and wave time scales. Due to this preferential alignment, we find that a plume of anisotropic particles in waves is on average transported farther but dispersed less than it would be if the particles were randomly oriented. Our results demonstrate that accurate prediction of the transport of anisotropic particles in wavy environments, such as microplastic particles in the ocean, requires the consideration of these preferential alignment effects.
More Papers Like This
Inertial effects on the transport of an anisotropic particle in surface gravity waves
AI summary Read the abstract
Researchers modeled the transport and rotation of ellipsoidal particles — representing microplastic fibers and other non-spherical shapes — in surface ocean waves. They found that particle shape significantly affects horizontal drift, with elongated particles drifting at different rates than spheres. These results indicate that accurately predicting the transport of fiber microplastics in the ocean requires accounting for particle shape.
Wave-averaged motion of small particles in surface gravity waves: Effect of particle shape on orientation, drift, and dispersion
AI summary Read the abstract
This study uses mathematical modeling to show that the shape of a small particle — such as a microplastic fragment — determines how it orients itself, drifts, and spreads when carried by ocean surface waves. This matters for predicting where microplastics accumulate in the ocean, since non-spherical fibers and fragments move very differently from spheres under the same wave conditions.
Orientation dynamics of nonspherical particles under surface gravity waves
AI summary Read the abstract
This experimental study found that non-spherical particles (like many microplastic fragments) orient themselves in specific ways when exposed to surface ocean waves, affecting how they move and sink. These orientation effects are not captured in simple spherical particle models, suggesting current microplastic transport predictions may be inaccurate.
Wave-averaged motion of small particles in surface gravity waves: effect of particle shape on orientation, drift, and dispersion
AI summary Read the abstract
This study modeled how the shape of particles like microplastics affects their movement, orientation, and drift in ocean surface waves. Researchers found that elongated or asymmetric particles behave very differently from spheres, influencing how far and where they travel. Better understanding of shape-dependent transport is needed to accurately predict how microplastics distribute across ocean surfaces.
Settling of inertial nonspherical particles in wavy flow
AI summary Read the abstract
Lab experiments showed that plastic particles of different shapes — rods, disks, and spheres — settle at different rates in wavy water, and waves can both speed up and slow down their sinking. Understanding how particle shape affects transport in ocean currents is key to predicting where microplastics accumulate.
Research digests by email
When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.