Scale effect in hazard assessment - application to daily rainfall
dc.contributor.author
dc.date.accessioned
2014-03-25T12:37:49Z
dc.date.available
2014-03-25T12:37:49Z
dc.date.issued
2005
dc.identifier.issn
1680-7340
dc.identifier.uri
dc.description.abstract
Daily precipitation is recorded as the total amount of water collected by a rain-gauge in 24h. Events are modelled as a Poisson process and the 24h precipitation by a Generalized Pareto Distribution (GPD) of excesses. Hazard assessment is complete when estimates of the Poisson rate and the distribution parameters, together with a measure of their uncertainty, are obtained. The shape parameter of the GPD determines the support of the variable: Weibull domain of attraction (DA) corresponds to finite support variables, as should be for natural phenomena. However, Fréchet DA has been reported for daily precipitation, which implies an infinite support and a heavy-tailed distribution. We use the fact that a log-scale is better suited to the type of variable analyzed to overcome this inconsistency, thus showing that using the appropriate natural scale can be extremely important for proper hazard assessment. The approach is illustrated with precipitation data from the Eastern coast of the Iberian Peninsula affected by severe convective precipitation. The estimation is carried out by using Bayesian techniques
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
European Geosciences Union (EGU)
dc.relation.isformatof
Reproducció digital del document publicat a: http://dx.doi.org/10.5194/adgeo-2-117-2005
dc.relation.ispartof
Advances in Geosciences, 2005, núm. 2, p. 117-121
dc.relation.ispartofseries
Articles publicats (D-IMA)
dc.rights
Attribution-NonCommercial-ShareAlike 3.0 Spain
dc.rights.uri
dc.subject
dc.title
Scale effect in hazard assessment - application to daily rainfall
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.embargo.terms
Cap
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
004437
dc.identifier.eissn
1680-7359