We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Direct numerical simulation of the distribution of floating microplastic particles in an open channel flow
Summary
This study used direct numerical simulation to model the three-dimensional distribution of floating microplastic particles in open channel flow, providing quantitative predictions of how particle buoyancy, size, and turbulence interact to control microplastic concentration profiles in rivers.
Abstract Microplastic fragments in the aquatic environment constitute a major threat for the health and fitness of organisms. However, our quantitative understanding in the microplastic load in typical natural river systems is severely limited due to the large uncertainties associated with the sources and the pathways of the microplastic contamination. To address this knowledge gap, we performed direct numerical simulations of the dynamics and distribution of microplastic particles in turbulent open channel flow at moderate Reynolds numbers. The particle dynamics is characterised by four nondimensional parameters, namely: Reynolds number of the open channel flow (), nondimensional particle diameter () and Galileo () and Stokes () numbers of the particles of which the latter two include the particle‐fluid density ratio (). To limit our scope to the most relevant configuration, we focused on the distribution of weakly buoyant microplastic particles at , whereas the remaining parameters were adjusted to cover the orders of magnitude that can be found in a typical laboratory facility, as well as a natural river. Our simulation results show that the steady‐state microplastic distribution in the turbulent flow is influenced by the Stokes and the Galileo numbers significantly, which ranges from the complete accumulation on the free surface to the homogeneous distribution, and somewhere in between. Moreover, the Galileo number, alongside the flow Reynolds number, were also shown to influence the temporal scaling of the transient behaviour of the gradual accumulation of the microplastics towards the free surface. Both of our findings highlight the complex nature of the particle–turbulence interactions, and motivate further investigations in this approach.
Sign in to start a discussion.
More Papers Like This
Plastic drift : Mapping the course of microplastic transport in turbulent riverine flows.
Researchers conducted laboratory experiments tracking the 3D trajectories of 24 negatively buoyant microplastic particles spanning a range of sizes, shapes, and densities in turbulent open channel flow, generating 720 trajectories to evaluate how well conventional sediment transport models apply to microplastics. Results revealed that the inherent variability in microplastic physical properties challenges direct application of sediment transport concepts to microplastic fate prediction in rivers.
A Lagrangian Model for Microplastics Transport in Rivers
Researchers developed a Lagrangian computational model to simulate how microplastics are transported through river systems, accounting for particle buoyancy, turbulence, and settling behavior. The model provides a tool for predicting microplastic fate and accumulation in freshwater environments.
Computational Analysis of Microplastics Hydrodynamics in Laboratory Experiment
Researchers conducted computational simulations of microplastic hydrodynamics in an open channel using OpenFOAM with turbulent flow modelling, validating the simulation against laboratory experimental results and examining how particle properties influence settling behaviour.
Plastic drift : Mapping the course of microplastic transport in turbulent riverine flows.
Researchers investigated the transport dynamics of 24 negatively buoyant microplastic particles across a spectrum of sizes, shapes, and densities using a 3D particle tracking system in turbulent open channel flow, generating 720 trajectories. They found that particle shape was the dominant determinant of transport behavior, with fibers tending to remain near the water surface at lower forward velocities while spheres stayed closer to the bed with higher forward velocities.
Modeling the settling and resuspension of microplastics in rivers: Effect of particle properties and flow conditions
Researchers developed a mathematical model to simulate how microplastics of different shapes settle and resuspend in rivers, moving beyond the common assumption that all particles are spherical. They found that turbulence has a complex effect, sometimes keeping particles suspended longer and sometimes accelerating their settling, depending on flow conditions. The model reveals that particle shape significantly influences where microplastics end up in river systems.