Dolcetti, G. orcid.org/0000-0002-0992-0319 and García Nava, H. (2019) Wavelet spectral analysis of the free surface of turbulent flows. Journal of Hydraulic Research, 57 (2). pp. 211-226. ISSN 0022-1686
Abstract
This work demonstrates the applicability of the wavelet directional method as a means of characterizing the free surface dynamics in shallow turbulent flows using a small number of sensors. The measurements are obtained with three conductance wave probes in a laboratory flume, in a range of subcritical flow conditions where the Froude number was smaller than one, and the bed was homogeneously rough. The characteristic spatial scale of the surface elevation is found to correspond to the wavelength of stationary waves oriented against the flow. The spectrum of the dominant distribution of waves is characterized in terms of an angular spreading function. A new procedure to estimate the mean surface velocity based on measurements of the surface elevation at only two locations is proposed. The results can inform the development of more accurate models of the surface behaviour, with applications for the remote sensing of rivers and open channel flows.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 International Association for Hydro-Environment Engineering and Research. This is an author-produced version of a paper subsequently published in Journal of Hydraulic Research. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Air–water interface interactions; gravity waves; hydrodynamic waves; laboratory studies; velocity measurements |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 29 Sep 2020 11:14 |
Last Modified: | 29 Sep 2020 11:14 |
Status: | Published |
Publisher: | Informa UK Limited |
Refereed: | Yes |
Identification Number: | 10.1080/00221686.2018.1478896 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:165810 |