Technical Papers
Aug 9, 2023

One-Dimensional Velocity Distribution in Seepage Bed Open Channels Using Tsallis Entropy

Publication: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9, Issue 4

Abstract

In the present study, a one-dimensional experimental velocity profile measured in seepage channels is evaluated by Tsallis entropy theory considering time-averaged velocity as a random variable. The velocity data was observed by conducting the experiments in the laboratory flume over the flat sand bed for no seepage and seepage discharge. The proposed velocity profile based on the Tsallis entropy model is tested with laboratory observations. Various efficiency criteria, root mean square error (RMSE), and Nash-Sutcliffe efficiency (NSE) coefficient, are used to verify the validity and accuracy of the proposed model. The Tsallis entropy-based 1D velocity distributions produced by various shape parameters agreed satisfactorily with experimental data and compared well. According to observations, the shape parameter a=0.2 leads to the best fit of the cumulative distribution function and velocity for the centre line of the channel. It is shown that the Tsallis entropy can be used to make accurate velocity predictions in active seepage channels.

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Data Availability Statement

All data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 9Issue 4December 2023

History

Received: Nov 21, 2022
Accepted: Jun 20, 2023
Published online: Aug 9, 2023
Published in print: Dec 1, 2023
Discussion open until: Jan 9, 2024

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Assistant Professor, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela, Odisha 769008, India (corresponding author). ORCID: https://orcid.org/0000-0003-4291-4209. Email: [email protected]
Harsh Kumar [email protected]
Postgraduate Student, Dept. of Civil Engineering, National Institute of Technology Rourkela, Rourkela, Odisha 769008, India. Email: [email protected]
Professor, Dept. of Civil Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam 781039, India. ORCID: https://orcid.org/0000-0001-6001-8411. Email: [email protected]

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Cited by

  • Entropic velocity distribution for sediment-laden flows with a modified dip estimation model at data-scarce river sites, Hydrological Sciences Journal, 10.1080/02626667.2024.2335272, (1-19), (2024).

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