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Updated: Jan 16, 2026

Image-based Lagrangian Particle Tracking in Bed-load Experiments
Published on: July 20, 2017
Dynamics of microplastics bedload transport in turbulent open channel flows over smooth and rough beds
Usama Ijaz1, Abul B M Baki1, Weiming Wu1
1Department of Civil and Environmental Engineering, Clarkson University, Potsdam, NY, USA.
Abstract:
Microplastics (MPs) in aquatic environments pose a growing ecological threat, yet their bedload transport dynamics remain poorly quantified. This study introduces a novel formulation to predict the bedload layer thickness δMP and average bedload transport velocity uMP of MPs under turbulent open-channel flows. Using 80 controlled flume experiments covering a wide range of microplastic types, bed roughness configurations, and flow conditions, further supported by data from existing literature, new empirical models are developed. The proposed new empirical formula for δMP based on the Shields number and relative density, reduces the prediction error by 75 % compared to the existing sediment-based formulas. Additionally, to explicitly quantify the uMP in the bedload layer, an empirical formula incorporating the relative roughness has been established, with a 14.05 % error, substantially outperforming the existing approaches. These findings demonstrate the critical role of particle density and bed characteristics in shaping the MP bedload transport dynamics and offer a robust framework for improving MPs transport models in riverine systems.
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