CASE STUDIES
Feb 20, 2009

Regional Flood Estimations in Red River Using L -Moment-Based Index-Flood and Bulletin 17B Procedures

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Publication: Journal of Hydrologic Engineering
Volume 14, Issue 9

Abstract

L -moment-based index-flood method (LMIF) is used in a regional flood frequency analysis of the Red River of the North basin. The results are appraised with respect to the traditional methods based on the 1982 Interagency Advisory Committee on Water Data (Bulletin 17B) procedure. The L -moments approach detects the necessity of subdividing the basin into three main homogeneous hydrologic regions through hierarchical clustering techniques, regionalization, distribution fittings, and simulations. Each region has a unique index-flood growth curve. The dominant distributions include the Pearson Type III, the generalized Pareto, and the generalized extreme value. For a certain number of gauged sites, the quantiles obtained by the LMIF differ significantly from those obtained by pursuing the Bulletin 17B-regression procedures. Generally, the latter gives lower quantiles for most sites. Overall, the LMIF is effective in identifying homogeneous regions, coherent in statistical distribution fitting, and free from state boundary issues. The investigation also illustrates the flexibility of the method in allowing flood estimations for a special regulated region and a main stem region. Further studies on the use of the LMIF on a national or global scale are recommended.

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Acknowledgments

The research was partially funded by the Waffle Project, Environmental Energy, and Environmental Research Center, University of North Dakota, Grand Forks, N.D.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 14Issue 9September 2009
Pages: 1002 - 1016

History

Received: May 6, 2008
Accepted: Feb 18, 2009
Published online: Feb 20, 2009
Published in print: Sep 2009

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Yeo H. Lim, M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, School of Engineering and Mines, Univ. of North Dakota, 243 Centennial Drive Stop 8115, Grand Forks, ND 58202-8115. E-mail: [email protected]
Donovan L. Voeller [email protected]
Graduate Research Assistant, Dept. of Civil Engineering, School of Engineering and Mines, Univ. of North Dakota, 243 Centennial Drive Stop 8115, Grand Forks, ND 58202-8115. E-mail: [email protected]

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