Journal article
Capabilities of Large-scale Particle Image Velocimetry to characterize shallow free-surface flows
Advances in water resources, Vol.70, pp.160-171
08/01/2014
DOI: 10.1016/j.advwatres.2014.04.004
Abstract
Irrespective of their spatial extent, free-surface shallow flows are challenging measurement environments for most instruments due to the relatively small depths and velocities typically associated with these flows. A promising candidate for enabling measurements in such conditions is Large-scale Particle Image Velocimetry (LSPIV). This technique uses a non-intrusive approach to measure two-dimensional surface velocity fields with high spatial and temporal resolutions. Although there are many publications documenting the successful use of LSPIV in various laboratory and field open-channel flow situations, its performance has not been equally substantiated for measurement in shallow flows. This paper aims at filling in this gap by demonstrating the capabilities of LSPIV to: (a) accurately evaluate complex flow patterns in shallow channel flows; and (b) estimate depth in shallow flows using exclusively LSPIV measurements. The demonstration is provided by LSPIV measurements in three shallow flow laboratory situations with flow depths ranging from 0.05 to 0.31 m. The obtained measurements illustrate the LSPIV flexibility and reliability in measuring velocities in shallow and low-velocity (near-zero) flows. Moreover, the technique is capable to evaluate and map velocity-derived quantities that are difficult to document with alternative measurement techniques (e.g. vorticity and shear stress distributions and mapping of large-scale structure in the body of water). (C) 2014 Elsevier Ltd. All rights reserved.
Details
- Title: Subtitle
- Capabilities of Large-scale Particle Image Velocimetry to characterize shallow free-surface flows
- Creators
- M. Muste - University of IowaA. Hauet - TDFI. Fujita - Kobe UniversityC. Legout - LTHE, F-38041 Grenoble 09, FranceH. -C. Ho - Zhejiang Ocean University
- Resource Type
- Journal article
- Publication Details
- Advances in water resources, Vol.70, pp.160-171
- Publisher
- Elsevier
- DOI
- 10.1016/j.advwatres.2014.04.004
- ISSN
- 0309-1708
- eISSN
- 1872-9657
- Number of pages
- 12
- Grant note
- Fundamental Research Funds for the Central Universities Iowa Flood Center, IIHR-Hydroscience Engineering
- Language
- English
- Date published
- 08/01/2014
- Academic Unit
- IIHR--Hydroscience and Engineering; Geographical and Sustainability Sciences
- Record Identifier
- 9984460341202771
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