Rectification of Image Velocity Results (RIVeR): A simple and user-friendly toolbox for large scale water surface Particle Image Velocimetry (PIV) and Particle Tracking Velocimetry (PTV)

Abstract LSPIV (Large Scale Particle Image Velocimetry) and LSPTV (Large Scale Particle Tracking Velocimetry) are used as relatively low-cost and non-intrusive techniques for water-surface velocity analysis and flow discharge measurements in rivers or large-scale hydraulic models. This paper describes a methodology based on state-of-the-art tools (for example, that apply classical PIV/PTV analysis) resulting in large-scale surface-flow characterization according to the first operational version of the RIVeR (Rectification of Image Velocity Results). RIVeR is developed in Matlab and is designed to be user-friendly. RIVeR processes large-scale water-surface characterization such as velocity fields or individual trajectories of floating tracers. This work describes the wide range of application of the techniques for comparing measured surface flows in hydraulic physical models to flow discharge estimates for a wide range of flow events in rivers (for example, low and high flows).

[1]  Volker Weitbrecht,et al.  A low-cost airborne velocimetry system: proof of concept , 2015 .

[2]  É. Mémin,et al.  Wavelets and Optical Flow Motion Estimation , 2013 .

[3]  Ichiro Fujita,et al.  Application of aerial LSPIV to the 2002 flood of the Yodo River using a helicopter mounted high density video camera , 2011 .

[4]  Sang Joon Lee,et al.  A new two-frame particle tracking algorithm using match probability , 1996 .

[5]  Jérôme Le Coz,et al.  Gauging extreme floods on YouTube: application of LSPIV to home movies for the post‐event determination of stream discharges , 2016 .

[6]  R. Adrian Twenty years of particle image velocimetry , 2005 .

[7]  Donald W. Knight,et al.  The application of LS-PIV to a small irregular river for inbank and overbank flows , 2012 .

[8]  R. Adrian,et al.  Scattering particle characteristics and their effect on pulsed laser measurements of fluid flow: speckle velocimetry vs particle image velocimetry. , 1984, Applied optics.

[9]  Marian Muste,et al.  Large‐scale particle image velocimetry for measurements in riverine environments , 2008 .

[10]  Eize J. Stamhuis,et al.  Basics and principles of particle image velocimetry (PIV) for mapping biogenic and biologically relevant flows , 2006, Aquatic Ecology.

[11]  Ichiro Fujita,et al.  Development of a non‐intrusive and efficient flow monitoring technique: The space‐time image velocimetry (STIV) , 2007 .

[12]  F. P. Haeni,et al.  Evaluating a Radar-Based, Non Contact Streamflow Measurement System in the San Joaquin River at Vernalis, California , 2004 .

[13]  Holger Nobach,et al.  Background extraction from double-frame PIV images , 2005 .

[14]  Richard J. Perkins,et al.  Particle Tracking in Turbulent Flows , 1989 .

[15]  Roger A. Pielke,et al.  Sensitivity of June near‐surface temperatures and precipitation in the eastern United States to historical land cover changes since European settlement , 2008 .

[16]  Wernher Brevis,et al.  Integrating cross-correlation and relaxation algorithms for particle tracking velocimetry , 2011 .

[17]  Ana Silva,et al.  COSMOS: A lightweight coastal video monitoring system , 2012, Comput. Geosci..

[18]  Dongsu Kim,et al.  Correlation analysis of spatio-temporal images for estimating two-dimensional flow velocity field in a rotating flow condition , 2015 .

[19]  Anton Kruger,et al.  Large-scale particle image velocimetry for flow analysis in hydraulic engineering applications , 1998 .

[20]  William Thielicke,et al.  PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB , 2014 .

[21]  Guillaume Dramais,et al.  Performance of image-based velocimetry (LSPIV) applied to flash-flood discharge measurements in Mediterranean rivers. , 2010 .

[22]  J. Le Coz,et al.  Image-based velocity and discharge measurements in field and laboratory river engineering studies using the free Fudaa-LSPIV software , 2014 .

[23]  Peter Stansby,et al.  Unsteady surface-velocity field measurement using particle tracking velocimetry , 1995 .

[24]  Alex Liberzon,et al.  Ieee Transactions on Instrumentation and Measurement 1 Long-duration Time-resolved Piv to Study Unsteady Aerodynamics , 2022 .

[25]  Anton Kruger,et al.  River gauging using PIV techniques: a proof of concept experiment on the Iowa River , 2003 .

[26]  Yen-Chang Chen,et al.  A fast method of flood discharge estimation , 2004 .

[27]  V. T. Chow Open-channel hydraulics , 1959 .

[28]  Janne Heikkilä,et al.  A four-step camera calibration procedure with implicit image correction , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[29]  Chao-Lin Chiu,et al.  Maximum and Mean Velocities and Entropy in Open-Channel Flow , 1995 .

[30]  André Paquier,et al.  Application and evaluation of LS-PIV technique for the monitoring of river surface velocities in high flow conditions , 2008 .

[31]  John D. Austin,et al.  Adaptive histogram equalization and its variations , 1987 .

[32]  R. Adrian Particle-Imaging Techniques for Experimental Fluid Mechanics , 1991 .

[33]  Chin H. Wu,et al.  An entropy‐based surface velocity method for estuarine discharge measurement , 2014 .

[34]  Azriel Rosenfeld,et al.  Fast two-frame multiscale dense optical flow estimation using discrete wavelet filters. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[35]  R. Adrian,et al.  A Kalman tracker for super-resolution PIV , 2000 .