Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)

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

Authors
Eunji Kim, Boosik Kang
Corresponding Author
Eunji Kim
Available Online March 2017.
DOI
https://doi.org/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.
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Proceedings
2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2017
ISBN
978-94-6252-324-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-17.2017.59How to use a DOI?
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  -