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http://dx.doi.org/10.3741/JKWRA.2010.43.2.153

Identification of Factors Affecting Errors of Velocity Calculation on Application of MLSPIV and Analysys of its Errors through Labortory Experiment  

Kim, Young-Sung (K-water Institute, Korea Water Resources Corporation)
Lee, Hyun-Seok (K-water Institute, Korea Water Resources Corporation)
Publication Information
Journal of Korea Water Resources Association / v.43, no.2, 2010 , pp. 153-165 More about this Journal
Abstract
Large-Scale Particle Image Velocimetry (LSPIV) is an extension of particle image velocimetry (PIV) for measurement of flows spanning large areas in laboratory or field conditions. LSPIV is composed of six elements - seeding, illumination, recording, image transformation, image processing, postprocessing - based on PIV. Possible error elements at each step of Mobile LSPIV (MLSPIV), which is a mobile version of LSPIV, in field applications are identified and summarized the effect of the errors which were quantified in the previous studies. The total number of elemental errors is 27, and five error sources were evaluated previously, seven elemental errors are not effective to the current MLSPIV system. Among 15 elemental errors, four errors - sampling time, image resolution, tracer, and wind - are investigated through an experiment at a laboratory to figure out how those errors affect to velocity calculation. The analysis to figure out the effect of the number of images used for image processing on the velocity calculation error shows that if over 50 images or more are used, the error due to it goes below 1 %. The effect of the image resolution on velocity calculation was investigated through various image resolution using digital camera. Low resolution image set made 3 % of velocity calculation error comparing with high resolution image set as a reference. For the effect of tracers and wind, the wind effect on tracer is decreasing remarkably with increasing the flume bulk velocity. To minimize the velocity evaluation error due to wind, tracers with high specific gravity is favorable.
Keywords
MLSPIV; Elemental Errors; Number of Images; Image Resolution; Tracer; Wind;
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