Technical Papers
Jun 11, 2013

Suspended Sediment Concentration in Open Channels Using Tsallis Entropy

Publication: Journal of Hydrologic Engineering
Volume 19, Issue 5

Abstract

Concentration of suspended sediment is of fundamental importance in environmental management, assessment of best management practices, water quality evaluation, reservoir ecosystem integrity, and fluvial hydraulics. Assuming time-averaged sediment concentration along a vertical as a random variable, a probability distribution of suspended sediment concentration is derived by maximizing the Tsallis entropy subject to the constraint given by the mean concentration and under the assumption that the sediment concentration is zero at the water surface. For deriving the sediment concentration profile along the vertical, a nonlinear cumulative distribution function is hypothesized and verified with observed data. The derived sediment concentration profile is tested using experimental and field data; however, the clear water surface assumption does not seem to be valid for field data. The Tsallis entropy-based concentration profile method is compared with three sediment concentration profile methods. Comparison shows that the Tsallis entropy-based method is, in general, more accurate than these three methods when judged by the root mean square deviation (RMSD) from observations.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 19Issue 5May 2014
Pages: 966 - 977

History

Received: Feb 20, 2013
Accepted: Jun 7, 2013
Published online: Jun 11, 2013
Discussion open until: Nov 11, 2013
Published in print: May 1, 2014

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Huijuan Cui [email protected]
Graduate Research Assistant, Water Management and Hydrological Science Program, Texas A&M Univ., College Station, TX 77843 (corresponding author). E-mail: [email protected]
Vijay P. Singh, F.ASCE [email protected]
Caroline and William N. Lehrer Distinguished Chair in Water Engineering and Professor, Dept. of Biological and Agricultural Engineering and Dept. of Civil and Environmental Engineering, Texas A&M Univ., 321 Scoates Hall, 2117 TAMU, College Station, TX 77843. E-mail: [email protected]

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