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http://dx.doi.org/10.3741/JKWRA.2008.41.11.1153

Study on Flood Prediction System Based on Radar Rainfall Data  

Kim, Won-Il (River Environment Technology Institute of Suwon University)
Oh, Kyoung-Doo (Dept. Civil Engineering, Korea Military Academy)
Ahn, Won-Sik (Dept. Civil Engineering, Suwon University)
Jun, Byong-Ho (Dept. Civil Engineering, Korea Military Academy)
Publication Information
Journal of Korea Water Resources Association / v.41, no.11, 2008 , pp. 1153-1162 More about this Journal
Abstract
The use of radar rainfall for hydrological appraisal has been a challenge due to the limitations in raw data generation followed by the complex analysis needed to come up with precise data interpretation. In this study, RAIDOM (RAdar Image DigitalizatiOn Method) has been developed to convert synthetic radar CAPPI(Constant Altitude Plan Position Indicator) image data from Korea Meteorological Administration into digital format in order to come up with a more practical and useful radar image data. RAIDOM was used to examine a severe local rainstorm that occurred in July 2006 as well as two other separate events that caused heavy floods on both upper and mid parts of the HanRiver basin. A distributed model was developed based on the available radar rainfall data. The Flood Hydrograph simulation has been found consistent with actual values. The results show the potentials of RAIDOM and the distributed model as tools for flood prediction. Furthermore, these findings are expected to extend the usefulness of radar rainfall data in hydrological appraisal.
Keywords
Radar rainfall; CAPPI; Distributed model;
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