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http://dx.doi.org/10.5322/JESI.2015.24.4.403

Analysis on Correlation Coefficient of Surface Image Velocimeter (SIV) Using On-site Runoff Image  

Kim, Yong-Seok (Department of Civil Engineering, Jeju National University)
Yang, Sung-Kee (Department of Civil Engineering, Jeju National University)
Kim, Dong-Su (Department of Civil & Env. Engineering, Dankook University)
Kim, Seojun (Department of Civil & Env. Engineering, Dankook University)
Publication Information
Journal of Environmental Science International / v.24, no.4, 2015 , pp. 403-414 More about this Journal
Abstract
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.
Keywords
Surface Image Velocimetry; CCTV; Kalesto; Doppler radar; Surface velocity;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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