Original paper

A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates

Volume: 541, Pages: 816 - 823
Published: Oct 1, 2016
Abstract
We estimate local and regional Generalized Extreme Value (GEV) distribution parameters for flood frequency analysis in a multilevel, hierarchical Bayesian framework, to explicitly model and reduce uncertainties. As prior information for the model, we assume that the GEV location and scale parameters for each site come from independent log-normal distributions, whose mean parameter scales with the drainage area. From empirical and theoretical...
Paper Details
Title
A hierarchical Bayesian GEV model for improving local and regional flood quantile estimates
Published Date
Oct 1, 2016
Volume
541
Pages
816 - 823
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.