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Estimation of Storm-centered ARF Using Radar Rainfall by Duration and Return Periods

机译:雷达降雨估计雷达降雨量的估计持续时间和返回期

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Design flood estimation, the application of the Areal Reduction Factor (ARF) is essential to convert the point rainfall to areal rainfall for the reference area. ARF calculation methods are largely divided into fixed-area method and storm-centered method. Since ARF is calculated by independent frequency analysis of maximum annual areal rainfall and point rainfall. On the other hand, storm-centered method is that make the maximum rainfall occur by spatial transition of each rainfall event to the center of the analysis watershed. Using the radar rainfall data, it is possible to calculate the real ARFs. In this study, the storm-centered ARFs were estimated by using radar data of the flood season (June to September) of 2007-2012 provided by Korea Meteorological Administration. Also, the center rainfall of the radar data were classified by the probability rainfall based on gauge rainfall data, and storm-centered ARFs were compared with fixed-area ARFs by duration and return period.
机译:设计洪水估计,所以减少因子(ARF)的应用对于将点降雨转化为参考区域的区域降雨。 ARF计算方法主要分为固定区域方法和居中性的方法。由于ARF是通过最大年粒度降雨和点降雨的独立频率分析来计算。另一方面,以风暴为中心的方法是通过对分析分析中心的每次降雨事件的空间过渡来进行最大的降雨。使用雷达降雨数据,可以计算真实的ARF。在这项研究中,通过使用韩国气象管理提供的2007 - 2012年汛期(6月至9月)的雷达数据估计了雨中的ARF。此外,雷达数据的中心降雨量通过基于测量的降雨数据的概率降雨来分类,并且通过持续时间和返回期与定期的ARF进行静止的ARF。

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