Scaling, partial-scaling and classical methods of IDF curve estimation

Veneziano, D; Lepore, C; Langousis, A; Furcolo, P

dc.contributor.author	Veneziano, D	en
dc.contributor.author	Lepore, C	en
dc.contributor.author	Langousis, A	en
dc.contributor.author	Furcolo, P	en
dc.date.accessioned	2014-03-01T02:54:10Z
dc.date.available	2014-03-01T02:54:10Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36683
dc.title	Scaling, partial-scaling and classical methods of IDF curve estimation	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	We describe a new class of IDF curve estimation methods based on the marginal distributions of rainfall intensity in intervals of different duration d and compare them to standard procedures that use historical annual maxima. First we develop and test the new methods assuming multifractal rainfall and then generalize the procedures for partial or complete lack of scaling. In the case of multifractal rainfall, a scale-invariance condition links the marginal distributions for different values of d and makes parameterization especially lean. We compare the new and existing IDF methods using historical and synthetic rainfall records. The use of marginal rather than annual-maximum information increases the stability and robustness of the new IDF estimators against outliers. Hence the new methods are applicable also to a few years of continuous rainfall data. While conventional methods frequently assume independent multiplicative effects of duration and return period on the IDF values, the new methods are capable of modeling the dependencies that are often observed in empirical IDF curves. In complexity, the new methods are comparable to the conventional ones.	en