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dc.contributor.authorVan de Vyver, Hans
dc.date2017-09-21
dc.date.accessioned2018-09-12T14:17:29Z
dc.date.available2018-09-12T14:17:29Z
dc.identifier.citationVan de Vyver, Hans. A multiscaling model of an intensity-duration-frequency relationship for extreme precipitation, STAHY 2017 workshop, 21-22 September 2017, Warsaw, Poland.
dc.identifier.urihttps://orfeo.belnet.be/handle/internal/7060
dc.descriptionRainfall intensity-duration-frequency (IDF) curves are one of the most commonly used tools in water resources engineering. They give an idea of how return levels of extreme rainfall intensities vary with duration over a range of return periods. The simple scaling property of extreme rainfall intensities determines the form of IDF-relationships. It is assumed that the annual maximum intensity follows the generalized extreme value (GEV) distribution. As well known, the resulting location- and scale-parameter of the GEV-distribution possess the simple scaling property. Although, the simple scaling hypothesis is commonly used as a reasonable working assumption, the multiscaling approach provides a more general framework. We present a new IDF-relationship that is formulated on the basis of the multiscaling property. It turns out that the GEV-parameters (location and scale) have a different scaling exponent. The new model has thus one additional parameter compared to the simple scaling IDF model. Next, we apply a Bayesian framework to estimate the IDF-models, and to choose the most appropriate model. It is shown that the model performance is increased when using the multiscaling approach. The new model for IDF-curves reproduces the data very well, and has a reasonable degree of complexity without overfitting on the data.en_US
dc.languageengen_US
dc.titleA multiscaling model of an intensity-duration-frequency relationship for extreme precipitationen_US
dc.typeConferenceen_US
dc.subject.frascatiMathematicsen_US
dc.subject.frascatiEarth and related Environmental sciencesen_US
dc.subject.frascatiCivil engineeringen_US
dc.audienceScientificen_US
dc.audience
Orfeo.peerreviewedNo


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