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- Title
Usefulness of the reversible jump Markov chain Monte Carlo model in regional flood frequency analysis.
- Authors
Ribatet, M.; Sauquet, E.; Grésillon, J. M.; Ouarda, T. B. M. J.
- Abstract
Regional flood frequency analysis is a convenient way to reduce estimation uncertainty when few data are available at the gauging site. In this work, a model that allows a non-null probability to a regional fixed shape parameter is presented. This methodology is integrated within a Bayesian framework and uses reversible jump techniques. The performance on stochastic data of this new estimator is compared to two other models: a conventional Bayesian analysis and the index flood approach. Results show that the proposed estimator is absolutely suited to regional estimation when only a few data are available at the target site. Moreover, unlike the index flood estimator, target site index flood error estimation seems to have less impact on Bayesian estimators. Some suggestions about configurations of the pooling groups are also presented to increase the performance of each estimator.
- Publication
Water Resources Research, 2007, Vol 43, Issue 8, pn/a
- ISSN
0043-1397
- Publication type
Article
- DOI
10.1029/2006WR005525