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KMID : 1024520150240040403
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Journal of the Environmental Sciences
2015 Volume.24 No. 4 p.403 ~ p.414
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Analysis on Correlation Coefficient of Surface Image Velocimeter (SIV) Using On-site Runoff Image
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Kim Yong-Seok
Yang Sung-Kee
Kim Dong-Su
Kim Seo-jun
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Abstract
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This study is daytime and nighttime runoff image data caused by heavy rain on May 27, 2013 at Oedo Water Treatment Plant of Oedo-Stream, Jeju to compute runoff by applying Surface image velocimeter (SIV) and analyzing correlation according to current. At the same time, current was comparatively analyzed using ADCP observation data and fixed electromagnetic surface current meter (Kalesto) observed at the runoff site. As a result of comparison on resolutions of daytime and nighttime runoff images collected, correlation coefficient corresponding to the range of 0.6~0.7 was 6.8% higher for nighttime runoff image compared to daytime runoff image. On the contrary, correlation coefficient corresponding to the range of 0.9~1.0 was 17% lower. This result implies that nighttime runoff image has lower image quality than daytime runoff image. In the process of computing current using SIV, a rational filtering process for correlation coefficient is needed according to images obtained.
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KEYWORD
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Surface Image Velocimetry, CCTV, Kalesto, Doppler radar, Surface velocity
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