The heavy flood has been increased due to the climate change from global warming and accelerated urbanization. The urban basin have the high impermeability, short concentration time and increased storms brings serious flooding damage. Therefore the flood prediction system is required for the forecast of urban inundation to reduce property damage and injury to people. In this study, Flood Nomograph(F-N) is developed to forecast only with rainfall information at a selected urban district with high inundation possibility. This study showed the applicability of Flood Nomograph for real-time forecast flooding according to rainfall intensity and rainfall duration effectively and verified by urban runoff model.
In recent years, as the occurrence of torrential rainfall in urban area which caused by global climate change has increased, the flood damage also has increased. It's because careful consideration of increase tendency for rainfall wasn't given to the hydraulic structure design standard and the occurrence of rainfall which exceed the design probability rainfall has actually increased. This paper suggests the regression equation which presents the extreme rainfall value in a probability function. The regression equation is made from the observed data and it can be used in design. As a result of the research, it is possible to apply the regression equation to disaster safety assessment of extreme rainfall when the hydraulic structures are designed.
The present paper describes applicability in practice for the design rainfall by the analysis of characteristics of the probability rainfall. In general, the size of hydraulic structures is determined by the rainfall suitability of the design rainfall is very important. To this end, in the last 50 years historical hourly rainfall data for each return period and duration of rainfall issued by more than the probability for rainfall occurrence and rainfall characteristics such as size and periodicity causes were analyzed. In addition, the annual trend of average rainfall events greater than the probability were analyzed. This study shows excess rainfall caused by the number of occurrence of rainfall return period were much more than that, the average rainfall exceeds the rainfall was growing up. Therefore, to adopt the probable rainfall as the design rainfall can not meet the flood protection as it aims.
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