Bathymetry and discharge estimation in large and data-scarce rivers using an entropy-based approach

Kechnit, D., Tshimanga, R.M., Ammari, A. et al. (5 more authors) (2024) Bathymetry and discharge estimation in large and data-scarce rivers using an entropy-based approach. Hydrological Sciences Journal, 69 (15). pp. 2109-2123. ISSN 0262-6667

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2024 IAHS. This is an author produced version of an article published in Hydrological Sciences Journal. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: bathymetry, discharge, entropy approach, large rivers, near-surface velocity
Dates:
  • Published: 17 November 2024
  • Published (online): 27 September 2024
  • Accepted: 23 August 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 15 Nov 2024 10:07
Last Modified: 04 Dec 2024 14:28
Status: Published
Publisher: Taylor & Francis
Identification Number: 10.1080/02626667.2024.2402933
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Accepted Version


Embargoed until: 27 September 2025

Filename: kechnit et al. (2024b).pdf

Request a copy

file not available

Export

Statistics