Estimation of Storm-centered ARF Using Radar Rainfall by Duration and Return Periods
Eunji Kim, Boosik Kang
Available Online March 2017.
- https://doi.org/10.2991/msam-17.2017.59How to use a DOI?
- Areal Reduction Factor(ARF); radar rainfall; storm-centered method
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Eunji Kim AU - Boosik Kang PY - 2017/03 DA - 2017/03 TI - Estimation of Storm-centered ARF Using Radar Rainfall by Duration and Return Periods BT - 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017) PB - Atlantis Press SP - 263 EP - 266 SN - 1951-6851 UR - https://doi.org/10.2991/msam-17.2017.59 DO - https://doi.org/10.2991/msam-17.2017.59 ID - Kim2017/03 ER -