A regional Bayesian POT model for flood frequency analysis

Simple item page
dc.creatorRibatet, Mathieu
dc.creatorSauquet, Eric
dc.creatorGrésillon, Jean-Michel
dc.creatorOuarda, Taha B. M. J.
dc.date2008-02-04
dc.date.accessioned2026-07-07T09:18:36Z
dc.date.available2026-07-07T09:18:36Z
dc.descriptionFlood frequency analysis is usually based on the fitting of an extreme value distribution to the local streamflow series. However, when the local data series is short, frequency analysis results become unreliable. Regional frequency analysis is a convenient way to reduce the estimation uncertainty. In this work, we propose a regional Bayesian model for short record length sites. This model is less restrictive than the index flood model while preserving the formalism of "homogeneous regions". The performance of the proposed model is assessed on a set of gauging stations in France. The accuracy of quantile estimates as a function of the degree of homogeneity of the pooling group is also analysed. The results indicate that the regional Bayesian model outperforms the index flood model and local estimators. Furthermore, it seems that working with relatively large and homogeneous regions may lead to more accurate results than working with smaller and highly homogeneous regions.
dc.identifierhttps://arxiv.org/abs/0802.0433
dc.identifierhttp://arxiv.org/abs/0802.0433
dc.identifierStochastic Environmental Research and Risk Assessment 21, 4 (2006) 327-339
dc.identifierdoi:10.1007/s00477-006-0068-z
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/154084
dc.subjectApplications
dc.titleA regional Bayesian POT model for flood frequency analysis
dc.typetext

Files

Collections

arXiv