Stochastic Prediction of Sediment Transport in Sand-Gravel Bed Rivers
Publication: Journal of Hydraulic Engineering
Volume 128, Issue 4
Abstract
Classical deterministic bedload transport predictors are applied to sand-gravel bed rivers. The turbulent bed shear stress is modeled according to a probability distribution to obtain realistic bedload transport rates at incipient motion. In extending the predictors to stochastic predictors for nonuniform sediment, many parameters that represent near-bed turbulence and the particle size distribution must be chosen. The parameters that give realistic results are chosen by analyzing the results of a new experimental flume dataset with relatively large water depths. Choosing other combinations of parameters may give equal total bedload transport rates, but at the cost of large errors in fractional transport rates. Attention is given to the hiding-exposure phenomenon and a hindrance effect related to nonuniform sediment. Validation based on two independent field datasets shows that successful predictions of particle sizes near the threshold for motion are feasible using the stochastic approach, while the deterministic approach gives successful predictions well above incipient motion.
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Published In
Journal of Hydraulic Engineering
Volume 128 • Issue 4 • April 2002
Pages: 412 - 425
Copyright
Copyright © 2002 American Society of Civil Engineers.
History
Received: May 9, 2000
Published online: Apr 1, 2002
Published in print: Apr 2002
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