Rojas Arques, S., Rubinato, M., Nichols, A. orcid.org/0000-0003-2821-621X et al. (1 more author) (2018) Cost effective measuring technique to simultaneously quantify 2D velocity fields and depth-averaged solute concentrations in shallow water flows. Flow Measurement and Instrumentation. ISSN 0955-5986
Abstract
This paper presents a cost-effective methodology to simultaneously measure mixing processes and surface velocity fields in shallow flows using low cost cameras and lighting. Velocity fields and depth averaged concentration of a soluble fluorescent tracer are obtained using the new techniques and the results verified against traditional point probe measurements in a laboratory flume. An example of simultaneous velocity/concentration measurement is presented for an instantaneous release of tracer into flow around an obstruction. The method will help to improve the understanding of mixing processes in shallow open channel flows. It is anticipated that the technique will be useful in physical modelling studies where the mixing and hydraulic length scales under investigation are in the order of 1-10 m, for example in compound channels and partially vegetated streams.
Metadata
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Copyright, Publisher and Additional Information: | © 2018 The Authors. This is an author produced version of a paper subsequently published in Flow Measurement and Instrumentation. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). | ||||||
Keywords: | Flume experiment; Particle Image Velocimetry (PIV); Planar Concentration Analysis (PCA); Cost-effective; GoPro Hero4 | ||||||
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) | ||||||
Funding Information: |
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Depositing User: | Symplectic Sheffield | ||||||
Date Deposited: | 26 Oct 2018 13:23 | ||||||
Last Modified: | 23 Oct 2019 00:38 | ||||||
Published Version: | https://doi.org/10.1016/j.flowmeasinst.2018.10.022 | ||||||
Status: | Published online | ||||||
Publisher: | Elsevier | ||||||
Refereed: | Yes | ||||||
Identification Number: | https://doi.org/10.1016/j.flowmeasinst.2018.10.022 |
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Filename: Revised Manuscript without Track Changes.pdf
Licence: CC-BY-NC-ND 4.0