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Reducing the operator effect in LSPIV image-based discharge measurements
2023The operator effect is a prominent error source in image-based velocimetry methods. The LSPIV method is known to be sensitive to the parameters and choices of the user, as shown in the literature and emphasized by the results of a video gauging intercomparison, the Video Globe Challenge 2020 (VGC2020) (Le Coz et al., 2021).
Guillaume Bodart +3 more
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River surface target enhancement and background suppression for unseeded LSPIV
Flow Measurement and Instrumentation, 2013Abstract Large-Scale Particle Image Velocimetry (LSPIV) is an image-based technique for nonintrusive streamflow monitoring, where the visibility of flow tracers is one of the main limitations to its application in field conditions. Based on the target characteristics of flow tracers as well as the optical environment of river surface, the paper ...
Zhen Zhang +3 more
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Design of online open channel flow monitoring system based on LSPIV
2020 5th International Conference on Communication, Image and Signal Processing (CCISP), 2020With the change of global climate in recent years, the risk and harm of flood disasters are gradually increasing. Long-term monitoring for prediction and assessment of them open channels is very necessary. Nowadays, hydropower stations often bear more flood discharge costs to help the downstream avoid risks, but there is a lack of a scientific method ...
Xincheng Liu +2 more
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Quantifying the operator effect in LSPIV image-based velocity and discharge measurements
2022<p><span>The operator effect is a prominent error source in image-based velocimetry methods. Video sampling, ortho-rectification parameters, motion analysis parameters and filters can strongly impact velocity and discharge measurements. This has been reported in the literature (e.g.
Guillaume Bodart +3 more
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Comparison of macroturbulence measured using decomposition of PIV, ADV and LSPIV data
Journal of Hydraulic Research, 2011Visualization and length-scale estimates are provided for turbulence in open channel flow over a gravel-bed. Results obtained using the digital particle image velocimetry (PIV) followed by post-processing with proper orthogonal decomposition showed higher and lower velocity regions aligned along a stagnation plane extending from the bed at ...
James F. Fox, Brian J. Belcher
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IP camera-based LSPIV system for on-line monitoring of river flow
2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2017To improve the real-time performance and robustness of the existing Large-Scale Particle Image Velocimetry (LSPIV) system, an IP camera-based LSPIV system has been developed for on-line monitoring of river flow. The camera was refitted to support NIR imaging to enhance the contrast between flow tracers and water surface.
Zhang Zhen +4 more
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Bedform Measurements with LSPIV for Open Channel Flow
Proceedings of the 39th IAHR World Congress, 2022Hao-Che Howard Ho +2 more
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Environmental Monitoring and Assessment
Addressing the critical need for precise streamflow measurements in hydro-environmental research, this study evaluates large-scale particle image velocimetry (LSPIV) using cost-effective closed-circuit television (CCTV) cameras, providing a detailed sensitivity analysis in both laboratory and real-world canal settings.
Seyed Hossein, Mohajeri +3 more
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Addressing the critical need for precise streamflow measurements in hydro-environmental research, this study evaluates large-scale particle image velocimetry (LSPIV) using cost-effective closed-circuit television (CCTV) cameras, providing a detailed sensitivity analysis in both laboratory and real-world canal settings.
Seyed Hossein, Mohajeri +3 more
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Refinement of LSPIV Technique for Monitoring River Surface Flows
Building Partnerships, 2000Ichiro Fujita, Shiro Aya
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VELOCITY AND TURBULENCE MEASUREMENT OF RIVER FLOWS BY LSPIV
Advances in Fluid Modeling and Turbulence Measurements, 2002SHIROU AYA +3 more
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