Title :
Analysis and processing of the river model test velocity data based on Digital Particle Image Velocimetry
Author :
Wang, Pengtao ; Bin, Li ; Yu, Guohui ; Sun, Dongpo
Author_Institution :
Coll. of Hydraulic Eng., North China Univ. of Water Conservancy & Electr. Power, Zhengzhou, China
Abstract :
Digital Particle Image Velocimetry (DPIV) is developing rapidly in recent years as a transient flow measurement technology, has gradually become one of the leading methods in river model surface velocity measurement. The key problem of analyzing flow velocity field accurately is post-processing of DPIV data. The errors of the measurement data by DPIV are eliminated by the basic law of water movement. By the tool of MATLAB, we can obtain the whole flow velocity field with interpolation of the discrete data points by using the continuity equation of fluid, Kriging interpolation methods and so on. Finally, the streamlines, velocity isolines and vortex isolines are plot by the theory of hydraulic computation.
Keywords :
computational fluid dynamics; hydraulic systems; image processing; mathematics computing; rivers; velocity measurement; DPIV data; Kriging interpolation methods; MATLAB; digital particle image velocimetry; discrete data points; flow velocity; hydraulic computation; river model surface velocity measurement; river model test velocity data; transient flow measurement technology; velocity isolines; vortex isolines; water movement; Atmospheric measurements; Interpolation; MATLAB; Mathematical model; Particle measurements; Rivers; Velocity measurement; Digital Particle Image Velocimetry; Kriging interpolation; MATLAB; river model test; velocity vector;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5646882