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

DOI

10.2991/msam-17.2017.59How to use a DOI?

Keywords

Areal Reduction Factor(ARF); radar rainfall; storm-centered method

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 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  - 10.2991/msam-17.2017.59
ID  - Kim2017/03
ER  -