Subordinated Brownian motion model for sediment transport.

Phys Rev E Stat Nonlin Soft Matter Phys

Department of Civil Engineering, St. Anthony Falls Laboratory and National Center for Earth-Surface Dynamics, University of Minnesota, Minnesota, USA.

Published: July 2009

Following the introduction of the Brownian motion model for sediment transport by Einstein, several stochastic models have been explored in the literature motivated by the need to reproduce the observed non-Gaussian probability density functions (PDFs) of the sediment transport rates observed in laboratory experiments. Recent studies have presented evidence that PDFs of bed elevation and sediment transport rates depend on time scale (sampling time), but this dependence is not accounted for in any previous stochastic models. Here we propose an extension of Brownian motion, called fractional Laplace motion, as a model for sediment transport which acknowledges the fact that the time over which the gravel particles are in motion is in itself a random variable. We show that this model reproduces the multiscale statistics of sediment transport rates as quantified via a large-scale laboratory experiment.

Download full-text PDF

Source
http://dx.doi.org/10.1103/PhysRevE.80.011111DOI Listing

Publication Analysis

Top Keywords

sediment transport
24
brownian motion
12
motion model
12
model sediment
12
transport rates
12
stochastic models
8
sediment
6
transport
6
motion
5
subordinated brownian
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!