Author(s): Y. Kim; M. Muste; A. Hauet; A. Bradley; L. Weber
Linked Author(s): Marian Muste, Yeri Kim, Larry J. Weber
Keywords: Mobile Large-Scale Particle Image Velocimetry; Surface velocity; Uncertainty analysis; Elemental error
Abstract: The paper describes the rigorous implementation of a standardized uncertainty analysis methodology to velocity measurements conducted with a recently developed non-intrusive technique. The image-based technique, labeled as Mobile Large-Scale Particle Image Velocimetry (MLSPIV), is the last in a series of configurations developed at IIHRHydroscience & Engineering in the last decade. The technique can measure free-surface velocity distribution and discharges in-situ, at gaged and ungaged sites. The paper discusses first the elemental errors involved in the measurement process and groups the errors around the steps comprising the measurement process. Assessment of the elemental errors is made using the best information available in the literature and specially designed experiments and numerical simulations. Finally, using a rigorous engineering standard the elemental errors are propagated to the final MLPSIV velocity measurements. The uncertainty analysis presented in the paper demonstrates both the reliability of the MLSPIV measurements as well as the of the uncertainty assessment methodology, as well as further work to be accomplished.
Year: 2007