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http://dx.doi.org/10.3741/JKWRA.2016.49.9.749

Research on radar-based risk prediction of sudden downpour in urban area: case study of the metropolitan area  

Yoon, Seongsim (WISE Institute, Hankuk University of Foreign Studies)
Nakakita, Eiichi (Disaster Prevention Research Institute, Kyoto University)
Nishiwaki, Ryuta (Sumitomo Heavy Industries, Ltd.)
Sato, Hiroto (Graduate School of Engineering, Kyoto University)
Publication Information
Journal of Korea Water Resources Association / v.49, no.9, 2016 , pp. 749-759 More about this Journal
Abstract
The aim of this study is to apply and to evaluate the radar-based risk prediction algorithm for damage reduction by sudden localized heavy rain in urban areas. The algorithm is combined with three processes such as "detection of cumulonimbus convective cells that can cause a sudden downpour", "automatic tracking of the detected convective cells", and "risk prediction by considering the possibility of sudden downpour". This algorithm was applied to rain events that people were marooned in small urban stream. As the results, the convective cells were detected through this algorithm in advance and it showed that it is possible to determine the risk of the phenomenon of developing into local heavy rain. When use this risk predicted results for flood prevention operation, it is able to secure the evacuation time in small streams and be able to reduce the casualties.
Keywords
Sudden Downpour; Weather Radar; Urban; Risk Prediction;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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