IAHR World Congress, 2019

Stochastic Sediment Transport in Time Persistent Flow Events

Serena Y. Hung 1 Christina W. Tsai 2
1Civil Engineering Department, National Taiwan University, PhD candidate, Taiwan
2Civil Engineering Department, National Taiwan University, Professor, Taiwan

This study is an embryonic research attempting to apply the stochastic diffusion particle tracking model (SD-PTM) with fractional Brownian motion (fBm) to sediment transport in open channel flows. The mathematical property of correlated increments in fBm makes it a potential method to model random particle trajectories under the impact of the long-time persistence events such as the larger flow events. Particles during such flow events have an increasing/decreasing statistical dependency on flow and can thus be modeled by SD-PTM with fBm. In the study, one-dimensional simulation is presented based on 10,000 random particle trajectories.

Keywords: fractional Brownian motion, stochastic diffusion particle tracking model, stochastic sediment transport

Serena Y. Hung
Serena Y. Hung








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