Author(s): Guomin Lyu; Linrui Shi; Nan Qiao; Xiao Liu; Shunfu Zhang; Qiang Ma; Qiyi Zhang

Linked Author(s):

Keywords: Image velocity measurement; LSPIV; OTV; STIV; Water monitoring

Abstract: This study aims to explore the applicability of multiple image-based flow measurement methods under specific conditions. It comprehensively investigates the results of three mainstream image-based flow measurement methods -- Space Time Image Velocimetry (STIV), Large Scale Particle Image Velocimetry (LSPIV), and Optical Tracking Velocimetry (OTV) -- in open channel conditions to deeply evaluate the applicability and accuracy of each method under specific conditions. The research results show that all three image-based flow measurement algorithms can effectively identify surface flow velocities. Among them, the method with the highest precision in average relative error in surface flow velocity is OTV, with an error of 2.34%, followed by the STIV method with an average relative error of 4.69%, and finally the LSPIV method with an average relative error of 10.13%. Through the in-depth exploration in this study, theoretical and practical support is provided for optimizing image-based flow measurement technology, offering valuable insights for the application of image-based flow measurement technology, and advancing the further application and development of image-based flow measurement technology in engineering practice and scientific research.

DOI: https://doi.org/10.3850/iahr-hic2483430201-470

Year: 2024