Technical Papers
Mar 8, 2018

Flood Frequency Analysis Using Halphen Distribution and Maximum Entropy

Publication: Journal of Hydrologic Engineering
Volume 23, Issue 5

Abstract

Flood frequency analysis (FFA) provides an important basis for determining the construction size of hydraulic facilities. The selection of a suitable distribution and parameter estimation method (D/E procedure) is of vital importance in FFA. In this study, the method of Halphen (HP) distribution, coupled with the principle of maximum entropy (ME), was proposed for FFA. First, the relations among Lagrange multipliers, constraints, and parameters were derived firstly. Annual maximum flood data series at 12 gauging stations and Monte Carlo simulation were used to evaluate the descriptive and predictive abilities of the proposed HP/ME procedure. The proposed HP/ME procedure was compared with the commonly used procedures. It is shown that the HP/ME procedure has the smallest root-mean-square error (RMSE) values for 10 of the 12 sites and the smallest Akaike information criterion (AIC) values for 7 of the 12 sites. The descriptive ability of the HP/ME procedure is good because of its flexible shapes and excellent tail properties. The Monte Carlo simulation results demonstrate that the HP/ME procedure performs well, which gives a narrower 90% confidence interval and produces higher efficiency than other compared procedures in several simulated cases. The proposed HP/ME procedure performs well to estimate design floods at two selected sites and might be suggested as an alternative candidate for hydrologic frequency analysis.

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Acknowledgments

This study was supported by the National Key Research and Development Plan of China (2016YFC0402206) and the National Natural Science Foundation of China (51539009). The authors would like to thank the two anonymous reviewers for their constructive comments, which have led to significant improvement on the presentation and quality of the paper.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 23Issue 5May 2018

History

Received: Jan 20, 2017
Accepted: Oct 13, 2017
Published online: Mar 8, 2018
Published in print: May 1, 2018
Discussion open until: Aug 8, 2018

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Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, People’s Republic of China. E-mail: [email protected]
Shenglian Guo [email protected]
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, People’s Republic of China (corresponding author). E-mail: [email protected]
Lu Chen, Ph.D. [email protected]
Associate Professor, College of Hydropower and Information Engineering, Huazhong Univ. of Science and Technology, Wuhan 430074, People’s Republic of China. E-mail: [email protected]
Ph.D. Candidate, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, People’s Republic of China. E-mail: [email protected]
Professor, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan Univ., Wuhan 430072, People’s Republic of China. E-mail: [email protected]

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