TECHNICAL PAPERS
Jan 16, 2004

Probabilistic Modeling of Bed-Load Composition

Publication: Journal of Hydraulic Engineering
Volume 130, Issue 2

Abstract

This paper proposes that the changes which occur in composition of the bed load during the transport of mixed-grain-size sediments are largely controlled by the distributions of critical entrainment shear stress for the various size fractions. This hypothesis is examined for a unimodal sediment mixture by calculating these distributions with a discrete particle model and using them in a probabilistic calculation of bed-load composition. The estimates of bed-load composition compare favorably with observations of fractional transport rates made in a laboratory flume for the same sediment, suggesting that the hypothesis is reasonable. The analysis provides additional insight, in terms of grain mechanics, into the processes that determine bed-load composition. These insights strongly suggest that better prediction methods will result from taking account of the variation of threshold within size fractions, something that most previous studies have neglected.

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Published In

Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 130Issue 2February 2004
Pages: 129 - 139

History

Received: Nov 19, 2001
Accepted: May 29, 2003
Published online: Jan 16, 2004
Published in print: Feb 2004

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Authors

Affiliations

Ian McEwan
Reader, Dept. of Engineering, Univ. of Aberdeen, Aberdeen, AB24 3UE, UK (corresponding author).
Michael Sørensen
Professor, Dept. of Statistics and Operations Research, Univ. of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen Ø, Denmark.
John Heald
Research Fellow, Dept. of Engineering, Univ. of Aberdeen, Aberdeen, AB24 3UE, UK.
Simon Tait
Senior Lecturer, Dept. of Civil and Structural Engineering, Univ. of Sheffield, Sheffield, UK.
Gavin Cunningham
Engineer, Cundall Johnston & Partners, Horsely House, Regent Centre, Newcastle-upon-Tyne, NE3 3LU, UK.
Derek Goring
Principal Scientist, National Institute of Water and Atmospheric Research, Christchurch, New Zealand.
Brian Willetts
Professor, Dept. of Engineering, Univ. of Aberdeen, Aberdeen, AB24 3UE, UK.

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