Capabilities of Large-scale Particle Image Velocimetry to characterize shallow free-surface flows

Muste, Marian; Hauet, Alexandre; Fujita, Ichiro; Legoût, Cédric; Ho, Hao‐Che

doi:10.1016/j.advwatres.2014.04.004

Cited by 64 publications

(45 citation statements)

References 30 publications

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“…Large‐scale particle image velocimetry, for example, has been developed for fast and effective discharge estimation of floods, where conventional, intrusive equipment can no longer be used (see, e.g., Muste, Fujita, & Hauet, ). However, it has been reported that more complex, transient flow features can also be investigated with this method (Muste et al, ). Studies have shown that large‐scale particle image velocimetry can also be used to quantify, for example, surface velocities in the proximity of breaking waves and the associated run‐up, as the generated foam is an adequate tracer for the algorithm (e.g., Fleit et al, ; Fleit & Baranya, ).…”

Section: Discussionmentioning

confidence: 99%

A practical framework to assess the hydrodynamic impact of ship waves on river banks

Fleit

Baranya

Krámer

et al. 2019

River Research & Apps

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The temporal alteration of the hydrodynamic regime in rivers due to navigation has significant effects on riverine ecosystems. Most of the key mechanisms and interactions between hydrodynamic and ecological variables have already been revealed; however, the quantitative evaluation of biotic and abiotic variables still stands a challenge. This paper aims to present a thorough, spatiotemporal framework, involving field and computational tools, for the assessment of wave hydrodynamics in the littoral zone of rivers, where its ecological relevance is the most significant. The temporal variation of significant wave heights is derived from high-frequency pressure measurements, offering a well-comparable statistical evaluation of individual wave events considering the duration of different wave intensities. Acoustic Doppler velocimetry (ADV) is used for the assessment of near-bank velocities, from which the secondary wave-related components have been filtered offering relevant validation data for numerical modelling. The small footprint of the ADVs is extended with up-to-date computational fluid dynamics modelling. Wave spectra derived from the pressure measurements are used as boundary conditions for phase-resolved irregular wave modelling with the level set method based numerical model REEF3D. The properly validated model offers the assessment of the most relevant hydrodynamic variables (e.g., velocity or turbulent kinetic energy) in a spatially extended manner, from which the hydrodynamic footprint of the wave events can be interpreted in a statistical fashion. The implementation of the proposed framework is illustrated through a case study at a Hungarian section of the Danube River.

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Section: Discussionmentioning

confidence: 99%

A practical framework to assess the hydrodynamic impact of ship waves on river banks

Fleit

Baranya

Krámer

et al. 2019

River Research & Apps

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“…In the light of such a present status of discharge measurement, the so-called non-intrusive measurement techniques have been paid attention to in recent years, such as a radio-wave velocity meter (RVM) [6,7] or imaging techniques [8][9][10][11][12]. The RVM is usually installed at a bridge to measure streamwise surface velocity continuously at one point by using the effect of the Doppler shift of the surface flow [6,7].…”

Section: Introductionmentioning

confidence: 99%

Discharge Measurements of Snowmelt Flood by Space-Time Image Velocimetry during the Night Using Far-Infrared Camera

Fujita

2017

Water

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Abstract:The space time image velocimetry (STIV) technique is presented and shown to be a useful tool for extracting river flow information non-intrusively simply by taking surface video images. This technique is applied to measure surface velocity distributions on the Uono River on Honshu Island, Japan. At the site, various measurement methods such as a radio-wave velocity meter, an acoustic Doppler current profiler (ADCP) or imaging techniques were implemented. The performance of STIV was examined in various aspects such as a night measurement using a far-infrared-ray (FIR) camera and a comparison to ADCP data for checking measurement accuracy. All the results showed that STIV is capable of providing reliable data for surface velocity and water discharge that agree fairly well with ADCP data. In particular, it was demonstrated that measurements during the night can be conducted without any difficulty using an FIR camera and the STIV technique. In particular, using the FIR camera, the STIV technique can capture water surface features better than conventional cameras even at low resolution. Furthermore, it was demonstrated that measurements during the night can be conducted without any difficulty.

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“…The fact that the MAPE of 9.00% is considerably below the variability of the discharges among multiple profiles (see section 4.4) indicates that the spatiotemporal averaging of multiple profiles is indeed effective to account for a large part of random errors that might result from local errors in the DTMs, water masks or flow velocities. Overall the residual errors are very similar to results from previous LSPIV studies at various sites [ Muste et al ., ].…”

Section: Resultsmentioning

confidence: 99%

Photogrammetric discharge monitoring of small tropical mountain rivers: A case study at Rivière des Pluies, Réunion Island

Stumpf

Augereau

Delacourt

et al. 2016

Water Resources Research

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Reliable discharge measurements are indispensable for an effective management of natural water resources and floods. Limitations of classical current meter profiling and stage‐discharge ratings have stimulated the development of more accurate and efficient gauging techniques such as nonintrusive photogrammetric techniques. Despite many successful applications of large‐scale particle image velocimetry (LSPIV) for short‐term measurements during flood events, there are still very few studies that address its use for long‐term monitoring of small mountain rivers. To fill this gap, this study targets the development and testing of largely autonomous photogrammetric discharge measurement system with a special focus on the application to small mountain river with high discharge variability in the tropics. It proposes several enhancements concerning camera calibration, more efficient processing in image geometry, the automatic detection of the water level as well as the statistical calibration and estimation of the discharge from multiple profiles. A case study which comprises the analysis of several thousand videos spanning over 2.5 year is carried out to test the robustness and accuracy of different processing steps. Comparisons against classical current meter profiling show a mean absolute percentage error of 9.0% after the statistical calibration of the system. The study suggests that LSPIV can already be considered as a valuable tool for the monitoring of torrential flows, whereas further research is still needed to fully integrate nighttime observation and stereophotogrammetric capabilities.

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Capabilities of Large-scale Particle Image Velocimetry to characterize shallow free-surface flows

Cited by 64 publications

References 30 publications

A practical framework to assess the hydrodynamic impact of ship waves on river banks

A practical framework to assess the hydrodynamic impact of ship waves on river banks

Discharge Measurements of Snowmelt Flood by Space-Time Image Velocimetry during the Night Using Far-Infrared Camera

Photogrammetric discharge monitoring of small tropical mountain rivers: A case study at Rivière des Pluies, Réunion Island

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