TECHNICAL PAPERS
Nov 13, 2009

Design Flood Hydrograph Based on Multicharacteristic Synthesis Index Method

Publication: Journal of Hydrologic Engineering
Volume 14, Issue 12

Abstract

Flood events consist of flood peaks and flood volumes for various durations that are mutually correlated and need to be described by multiple variables. Conventional flood frequency analysis methods are generally based on the univariate distributions of either flood peaks or flood volumes, and hence only provide a limited assessment of flood events. In this paper, a multicharacteristic synthesis index (MSI) method is developed to describe flood hydrographs in an integrated way by considering the multiple characteristics synthetically, such as flood peak, 1-day maximum flood volume, 3-day maximum flood volume, 7-day maximum flood volume, etc. Annual maximum flood hydrograph series are sampled and then are transformed into corresponding MSI series by the MSI method. The quantile of the MSI series corresponding to a specified design return period is estimated by conventional flood frequency analysis method. A procedure for derivation of design flood hydrograph based on the MSI quantile is proposed. An application at the Geheyan reservoir in China is given. Results show that the MSI method can provide a new way for derivation and reassessment of design flood hydrographs.

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Acknowledgments

This study was supported by the Chinese National Nature Research Foundation (Grant No. UNSPECIFIED50609017) and the Ministry of Water Resources of China (Grant No. UNSPECIFIED200701015). The writers thank the editor and anonymous reviewers whose comments and suggestions helped to clarify and improve the quality of this paper.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 14Issue 12December 2009
Pages: 1359 - 1364

History

Received: Mar 31, 2006
Accepted: Jun 29, 2009
Published online: Nov 13, 2009
Published in print: Dec 2009

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Authors

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Dr., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China. E-mail: [email protected]
Shenglian Guo [email protected]
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China (corresponding author). E-mail: [email protected]
Associate Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China. E-mail: [email protected]
Dr., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China. E-mail: [email protected]
Dr., State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, China. E-mail: [email protected]

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