J Korean Soc Hazard Mitig 2018; 18(1): 47-55  https://doi.org/10.9798/KOSHAM.2018.18.1.47
Simple Estimation of Return Period for Extreme Storm Events Using Storm Transposition
Lee, Okjeong*, Kim, Kyungmin**, Won, Jeong Eun***, and Kim, Sangdan****
*Member, Ph. D. Student, Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University
**Master’s Course, Division of Earth Environmental System Science, Pukyong National University
***Faculty Course, Department of Environmental Engineering, Pukyong National University
****Member, Professor, Department of Environmental Engineering, Pukyong National University
Correspondence to: Member, Ph. D. Student, Division of Earth Environmental System Science (Major of Environmental Engineering), Pukyong National University (Tel: +82-51-629-6529, Fax: +82-51-629-6523, E-mail: lover1804@nate.com)
Received: September 28, 2017; Revised: October 18, 2017; Accepted: November 20, 2017; Published online: January 31, 2018.
© The Korean Society of Hazard Mitigation. All rights reserved.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
In this study, a simple method for estimating the return period of extreme storm events is proposed. Using the concept of storm transposition, which is mainly applied when calculating probable maximum precipitation by hydro-meteorological method, major storm events in Korea are transposed to the Gangneung and Busan observatories to estimate the non-exceedance probability. The applicability of the proposed method is investigated by comparing the 24-hour duration probability rainfall depth estimated by the proposed method with the corresponding rainfall depth estimated by the frequency analysis which is performed using the annual maximum time series of a single station. The proposed method is unsuitable for the return period less than the data period of the rainfall observatories, but it is expected that it can provide a relatively stable estimation result for the case of the relatively long return period.
Keywords: Extreme Storm, Frequency Analysis, Probability Rainfall Depth, Storm Transposition12


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