We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Reply for Comment on “Modeling the settling and resuspension of microplastics in rivers: Effect of particle properties and flow conditions”, published by Akdogan and Guven [Water Research 260 (2024) 121900]”
AI summary Read the abstract
Researchers responded to peer comments on their microplastic settling and resuspension model for rivers, clarifying their use of Prandtl mixing length theory in estimating settling velocities and defending the formulation of mass-balance equations for microplastic transport across river compartments.
This reply addresses the comments by Deng et al. (2025), who raised concerns about the application of Prandtl's mixing length theory in estimating microplastic settling velocity and the formulation of mass-balance equations for microplastic transport amongst the river compartments. We clarify the relevant points from the original article to prevent potential misunderstandings by readers.
More Papers Like This
Comment on “Modeling the settling and resuspension of microplastics in rivers: Effect of particle properties and flow conditions”, published by Akdogan and Guven [Water Research 260 (2024) 121900]
AI summary Read the abstract
This is a brief technical comment on mathematical errors in a previously published model for microplastic settling in rivers, pointing out a misapplication of mixing length theory and flawed mass conservation equations. While not a standalone study, such methodological corrections matter because models used to predict microplastic transport in rivers need to be accurate to inform pollution assessments and regulatory decisions.
Modeling the settling and resuspension of microplastics in rivers: Effect of particle properties and flow conditions
AI summary Read the abstract
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.
Microplastic dynamics within turbulence for improved modelling and monitoring strategies
AI summary Read the abstract
This study developed improved models for predicting microplastic distribution and transport within river systems, accounting for turbulence effects and the exchange between suspended load and bedload. The authors identified that existing sediment transport models fail to capture the behavior of low-density plastic particles in turbulent flow. More accurate models are needed to predict where microplastics accumulate in rivers and estimate their flux to the ocean.
Comment on egusphere-2024-2788
AI summary Read the abstract
Researchers developed a reduced-complexity model of microplastic erosion, transport, and deposition in river systems, building on established sediment transport methods to explore how fluvial processes trap and store microplastics as they move from terrestrial sources toward the marine environment, finding that rivers may represent an important global reservoir of microplastic pollution.
Settling velocity of microplastics in turbulent open-channel flow
AI summary Read the abstract
Researchers studied how microplastic particles settle in turbulent river-like flow conditions compared to still water and developed a new formula to predict their behavior. They found that turbulence altered settling velocities by as much as 26% depending on particle properties, with larger, heavier particles being less influenced by water turbulence. The findings are important for building better models of how microplastics are transported and distributed in rivers and other flowing waterways.
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.