TECHNICAL PAPERS
Jul 1, 1997

Rational Approach to Comparison of Flood Distributions by Simulation

Publication: Journal of Hydrologic Engineering
Volume 2, Issue 3

Abstract

A nonparametric Bayesian simulation procedure, Pólya resampling, is presented for comparing statistical distributions D and estimation methods E for at-site flood frequency analysis. The methodology does not rely on the hypothesis of a parent distribution and compares the models on the basis of expected cost. It is applied to the Québec-Ontario region. The statistical distribution minimizing expected cost depends mainly on the ratio of underestimation to overestimation costs. When these costs are similar, the gamma distribution performs well. When overestimation costs are more important, the normal distribution minimizes expected cost. And when underestimation costs are larger, the Gumbel distribution is preferred. However, this only tells us that the systematic use of these distributions is preferable to the systematic use of other distributions considered in the study. A dynamic procedure, which selects a D/E combination on the basis of some sample statistics, may give better results. In particular, a simple dynamic procedure based on the observed coefficients of variation and skewness is shown to outperform the gamma and Gumbel distributions for extrapolation when underestimation and overestimation costs are similar.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 2Issue 3July 1997
Pages: 95 - 103

History

Published online: Jul 1, 1997
Published in print: Jul 1997

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Authors

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V. Fortin
PhD student, NSERC/Hydro-Québec Chair on Statistical Hydro., Institut National de la Recherche Scientifique, P.O. Box 7500, Sainte-Foy (Québec) Canada G1V 4C7.
B. Bobée
Chairman, NSERC/Hydro-Québec Chair on Statistical Hydro., Institut National de la Recherche Scientifique, P.O. Box 7500, Sainte-Foy (Québec) Canada G1V 4C7.
J. Bernier
Invited Prof., NSERC/Hydro-Québec Chair on Statistical Hydro., Institut National de la Recherche Scientifique, P.O. Box 7500, Sainte-Foy (Québec) Canada G1V 4C7.

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