Applicability of various clustering techniques for regional frequency analysis

Kyung Duk Kim; Jun Haeng Heo; Woo Sung Nam; Eun Woo Shin

Applicability of various clustering techniques for regional frequency analysis

Kyung Duk Kim, Jun Haeng Heo, Woo Sung Nam, Eun Woo Shin

Department of Civil and Environmental Engineering

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

1 Citation (Scopus)

Abstract

Regional analysis of annual maximum precipitation data was conducted by using index-flood method based on L-moments. Annual maximum rainfall series for the durations of 1, 2, 6, and 24 hours were collected at 337 gauging stations in Korea. The identification of homogeneous regions was performed based on cluster analysis such as hierarchical and nonhierarchical techniques. As the results, various cluster analyses can be used to group appropriate sites into a region for regional analysis and to estimate more reliable quantiles.

Original language	English
Title of host publication	Proceedings of the 2004 World Water and Environmetal Resources Congress
Subtitle of host publication	Critical Transitions in Water and Environmental Resources Management
Editors	G. Sehlke, D.F. Hayes, D.K. Stevens
Pages	1538-1546
Number of pages	9
Publication status	Published - 2004
Event	2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management - Salt Lake City, UT, United States Duration: 2004 Jun 27 → 2004 Jul 1

Publication series

Name	Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management

Other

Other	2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management
Country	United States
City	Salt Lake City, UT
Period	04/6/27 → 04/7/1

All Science Journal Classification (ASJC) codes

Engineering(all)

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Kim, K. D., Heo, J. H., Nam, W. S., & Shin, E. W. (2004). Applicability of various clustering techniques for regional frequency analysis. In G. Sehlke, D. F. Hayes, & D. K. Stevens (Eds.), Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management (pp. 1538-1546). (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).

Kim, Kyung Duk ; Heo, Jun Haeng ; Nam, Woo Sung ; Shin, Eun Woo. / Applicability of various clustering techniques for regional frequency analysis. Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. editor / G. Sehlke ; D.F. Hayes ; D.K. Stevens. 2004. pp. 1538-1546 (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).

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title = "Applicability of various clustering techniques for regional frequency analysis",

abstract = "Regional analysis of annual maximum precipitation data was conducted by using index-flood method based on L-moments. Annual maximum rainfall series for the durations of 1, 2, 6, and 24 hours were collected at 337 gauging stations in Korea. The identification of homogeneous regions was performed based on cluster analysis such as hierarchical and nonhierarchical techniques. As the results, various cluster analyses can be used to group appropriate sites into a region for regional analysis and to estimate more reliable quantiles.",

author = "Kim, {Kyung Duk} and Heo, {Jun Haeng} and Nam, {Woo Sung} and Shin, {Eun Woo}",

year = "2004",

language = "English",

isbn = "0784407371",

series = "Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management",

pages = "1538--1546",

editor = "G. Sehlke and D.F. Hayes and D.K. Stevens",

booktitle = "Proceedings of the 2004 World Water and Environmetal Resources Congress",

note = "2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management ; Conference date: 27-06-2004 Through 01-07-2004",

}

Kim, KD, Heo, JH, Nam, WS & Shin, EW 2004, Applicability of various clustering techniques for regional frequency analysis. in G Sehlke, DF Hayes & DK Stevens (eds), Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management, pp. 1538-1546, 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management, Salt Lake City, UT, United States, 04/6/27.

Applicability of various clustering techniques for regional frequency analysis. / Kim, Kyung Duk; Heo, Jun Haeng; Nam, Woo Sung; Shin, Eun Woo.

Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. ed. / G. Sehlke; D.F. Hayes; D.K. Stevens. 2004. p. 1538-1546 (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).

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

TY - GEN

T1 - Applicability of various clustering techniques for regional frequency analysis

AU - Kim, Kyung Duk

AU - Heo, Jun Haeng

AU - Nam, Woo Sung

AU - Shin, Eun Woo

PY - 2004

Y1 - 2004

N2 - Regional analysis of annual maximum precipitation data was conducted by using index-flood method based on L-moments. Annual maximum rainfall series for the durations of 1, 2, 6, and 24 hours were collected at 337 gauging stations in Korea. The identification of homogeneous regions was performed based on cluster analysis such as hierarchical and nonhierarchical techniques. As the results, various cluster analyses can be used to group appropriate sites into a region for regional analysis and to estimate more reliable quantiles.

AB - Regional analysis of annual maximum precipitation data was conducted by using index-flood method based on L-moments. Annual maximum rainfall series for the durations of 1, 2, 6, and 24 hours were collected at 337 gauging stations in Korea. The identification of homogeneous regions was performed based on cluster analysis such as hierarchical and nonhierarchical techniques. As the results, various cluster analyses can be used to group appropriate sites into a region for regional analysis and to estimate more reliable quantiles.

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M3 - Conference contribution

AN - SCOPUS:23844485992

SN - 0784407371

T3 - Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management

SP - 1538

EP - 1546

BT - Proceedings of the 2004 World Water and Environmetal Resources Congress

A2 - Sehlke, G.

A2 - Hayes, D.F.

A2 - Stevens, D.K.

T2 - 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management

Y2 - 27 June 2004 through 1 July 2004

ER -

Kim KD, Heo JH, Nam WS, Shin EW. Applicability of various clustering techniques for regional frequency analysis. In Sehlke G, Hayes DF, Stevens DK, editors, Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmental Resources Management. 2004. p. 1538-1546. (Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management).

Applicability of various clustering techniques for regional frequency analysis

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All Science Journal Classification (ASJC) codes

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