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Flood Runoff Calculation Using Disaster Surveillance CCTV

Author(s): Sung-Kee Yang; Yong-Seok Kim; Bo-Sung Kang; Myung-Soo Kang

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Abstract: The present study aims to apply a surface image velocimeter (SIV) system to video images captured with CCTV and estimate the flood discharge. The CCTV was installed at the Hancheon Bridge of the Han Cheon in Jeju Island (Korea) for disaster surveillance, and five flood events occurred in 2012 were used. During the image analyses, input parameters, interrogation areas and searching areas were determined with proper calibration procedures. To check for accuracy and applicability of SIV, the velocities and flood discharges estimated by SIV were compared with the measured ones by an elec tromagnetic surface velocimeter, Kalisto. Fig. 1. Flow velocity vector distribution of daytime video (left) and night video (right). The comparison results showed fairly good agreements. The RMSE (Root Mean Square Error) values between two instruments showed a range of 4.13 and 14.2, and the determination coefficients reached 0.75 through 0.85. It means that the SIV could be used as a good alternative method for other traditional velocity measuring instruments in measuring flood discharges.

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Year: 2018

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