Regional frequency analysis of annual maximum precipitation in South Korea

Woo Sung Nam; Jun Haeng Heo; Kyung Duk Kim; Young Seok Lee

Regional frequency analysis of annual maximum precipitation in South Korea

Woo Sung Nam, Jun Haeng Heo, Kyung Duk Kim, Young Seok Lee

Department of Civil and Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Single-site analysis is not appropriate if the record length is shorter than target return period T. Sample sizes of annual maximum rainfall data in Korea are usually smaller than 50 years. Therefore, it is essential to use regional frequency analysis for estimating rainfall quantiles of more than 100 years return period of rainfall quantiles. In this research, regional rainfall frequency analysis is performed for annual maximum rainfall data of South Korea. Homogeneous regions are identified by cluster analysis. An appropriate distribution is chosen by goodness-of-fit test. The generalized logistic model (GLO) is found to be an appropriate distribution as a result of goodness-of-fit measure. Simulation experiments are performed to check the performance of three frequency analysis techniques such as at-site frequency analysis, index flood method, and regional shape estimation method.

Original language	English
Title of host publication	31st IAHR Congress 2005
Subtitle of host publication	Water Engineering for the Future, Choices and Challenges
Editors	Jun Byong-Ho, Il Lee Sang, Seo Il Won, Choi Gye-Woon
Publisher	Korea Water Resources Association
Pages	5614-5623
Number of pages	10
ISBN (Electronic)	8987898245, 9788987898247
Publication status	Published - 2005
Event	31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges - Seoul, Korea, Republic of Duration: 2005 Sep 11 → 2005 Sep 16

Publication series

Name	31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges

Conference

Conference	31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges
Country/Territory	Korea, Republic of
City	Seoul
Period	05/9/11 → 05/9/16

Bibliographical note

Publisher Copyright:
© 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. All Rights Reserved.

All Science Journal Classification (ASJC) codes

Engineering (miscellaneous)
Environmental Science (miscellaneous)
Water Science and Technology

Cite this

Nam, W. S., Heo, J. H., Kim, K. D., & Lee, Y. S. (2005). Regional frequency analysis of annual maximum precipitation in South Korea. In J. Byong-Ho, I. L. Sang, S. I. Won, & C. Gye-Woon (Eds.), 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges (pp. 5614-5623). (31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges). Korea Water Resources Association.

Nam, Woo Sung ; Heo, Jun Haeng ; Kim, Kyung Duk et al. / Regional frequency analysis of annual maximum precipitation in South Korea. 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. editor / Jun Byong-Ho ; Il Lee Sang ; Seo Il Won ; Choi Gye-Woon. Korea Water Resources Association, 2005. pp. 5614-5623 (31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges).

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abstract = "Single-site analysis is not appropriate if the record length is shorter than target return period T. Sample sizes of annual maximum rainfall data in Korea are usually smaller than 50 years. Therefore, it is essential to use regional frequency analysis for estimating rainfall quantiles of more than 100 years return period of rainfall quantiles. In this research, regional rainfall frequency analysis is performed for annual maximum rainfall data of South Korea. Homogeneous regions are identified by cluster analysis. An appropriate distribution is chosen by goodness-of-fit test. The generalized logistic model (GLO) is found to be an appropriate distribution as a result of goodness-of-fit measure. Simulation experiments are performed to check the performance of three frequency analysis techniques such as at-site frequency analysis, index flood method, and regional shape estimation method.",

author = "Nam, {Woo Sung} and Heo, {Jun Haeng} and Kim, {Kyung Duk} and Lee, {Young Seok}",

note = "Publisher Copyright: {\textcopyright} 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. All Rights Reserved.; 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges ; Conference date: 11-09-2005 Through 16-09-2005",

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language = "English",

series = "31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges",

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Nam, WS, Heo, JH, Kim, KD & Lee, YS 2005, Regional frequency analysis of annual maximum precipitation in South Korea. in J Byong-Ho, IL Sang, SI Won & C Gye-Woon (eds), 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges, Korea Water Resources Association, pp. 5614-5623, 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges, Seoul, Korea, Republic of, 05/9/11.

Regional frequency analysis of annual maximum precipitation in South Korea. / Nam, Woo Sung; Heo, Jun Haeng; Kim, Kyung Duk et al.

31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. ed. / Jun Byong-Ho; Il Lee Sang; Seo Il Won; Choi Gye-Woon. Korea Water Resources Association, 2005. p. 5614-5623 (31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Regional frequency analysis of annual maximum precipitation in South Korea

AU - Nam, Woo Sung

AU - Heo, Jun Haeng

AU - Kim, Kyung Duk

AU - Lee, Young Seok

PY - 2005

Y1 - 2005

N2 - Single-site analysis is not appropriate if the record length is shorter than target return period T. Sample sizes of annual maximum rainfall data in Korea are usually smaller than 50 years. Therefore, it is essential to use regional frequency analysis for estimating rainfall quantiles of more than 100 years return period of rainfall quantiles. In this research, regional rainfall frequency analysis is performed for annual maximum rainfall data of South Korea. Homogeneous regions are identified by cluster analysis. An appropriate distribution is chosen by goodness-of-fit test. The generalized logistic model (GLO) is found to be an appropriate distribution as a result of goodness-of-fit measure. Simulation experiments are performed to check the performance of three frequency analysis techniques such as at-site frequency analysis, index flood method, and regional shape estimation method.

AB - Single-site analysis is not appropriate if the record length is shorter than target return period T. Sample sizes of annual maximum rainfall data in Korea are usually smaller than 50 years. Therefore, it is essential to use regional frequency analysis for estimating rainfall quantiles of more than 100 years return period of rainfall quantiles. In this research, regional rainfall frequency analysis is performed for annual maximum rainfall data of South Korea. Homogeneous regions are identified by cluster analysis. An appropriate distribution is chosen by goodness-of-fit test. The generalized logistic model (GLO) is found to be an appropriate distribution as a result of goodness-of-fit measure. Simulation experiments are performed to check the performance of three frequency analysis techniques such as at-site frequency analysis, index flood method, and regional shape estimation method.

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Nam WS, Heo JH, Kim KD, Lee YS. Regional frequency analysis of annual maximum precipitation in South Korea. In Byong-Ho J, Sang IL, Won SI, Gye-Woon C, editors, 31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges. Korea Water Resources Association. 2005. p. 5614-5623. (31st IAHR Congress 2005: Water Engineering for the Future, Choices and Challenges).

Regional frequency analysis of annual maximum precipitation in South Korea

Abstract

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Bibliographical note

All Science Journal Classification (ASJC) codes

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