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Updated: Jun 10, 2025

Image-based Lagrangian Particle Tracking in Bed-load Experiments
Published on: July 20, 2017
Modified stochastic diffusion particle-tracking model (MSDPTM) incorporating energy cascade theory and eddy
Shi-Wei Lin1, Shiv Mohan1, Christina W Tsai1
1Department of Civil Engineering, National Taiwan University, Taipei City 10617, Taiwan.
Abstract:
This study presents a modified stochastic diffusion particle tracking model (MSDPTM) that incorporates energy cascade theory to more accurately simulate suspended sediment transport. The impact of turbulent eddies on sediment particles is an intermittent process, which is also considered in this study. The study examines the time correlation between eddies using eddy turnover time and finds that closer-scale eddies exhibit higher correlations than those farther apart. The statistical properties of particle movement, such as the ensemble mean and variance of particle trajectories, have been calculated and compared with the stochastic diffusion particle tracking model (SDPTM) results. Notably, MSDPTM with intermittency demonstrates a significantly larger ensemble mean of particle trajectories in the streamwise direction than other particle tracking models. The proposed model is validated through comparison with available data, showing its enhanced performance. The results of the simulation indicate that MSDPTM outperforms SDPTM, especially when the intermittency effect of eddies is considered.
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