On the representation of hyetograph characteristics by stochastic rainfall models

Koutsoyiannis, D; Mamassis, N

dc.contributor.author	Koutsoyiannis, D	en
dc.contributor.author	Mamassis, N	en
dc.date.accessioned	2014-03-01T01:16:50Z
dc.date.available	2014-03-01T01:16:50Z
dc.date.issued	2001	en
dc.identifier.issn	0022-1694	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14256
dc.subject	Hyetograph	en
dc.subject	Point process	en
dc.subject	Rainfall	en
dc.subject	Scaling	en
dc.subject	Stochastic models	en
dc.subject	Storm	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Water Resources	en
dc.subject.other	Mathematical models	en
dc.subject.other	Rain	en
dc.subject.other	Random processes	en
dc.subject.other	Storms	en
dc.subject.other	Hyetographs	en
dc.subject.other	Hydrology	en
dc.subject.other	data set	en
dc.subject.other	hydrological modeling	en
dc.subject.other	rainfall	en
dc.subject.other	storm	en
dc.subject.other	Greece	en
dc.subject.other	United States	en
dc.title	On the representation of hyetograph characteristics by stochastic rainfall models	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0022-1694(01)00441-3	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0022-1694(01)00441-3	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	Two stochastic models of the rainfall process, belonging to different categories, are compared in terms of how well they reproduce certain hyetograph characteristics. The first is the scaling model of storm hyetograph, which belongs to the category of storm-based models. The second is the Bartlett-Lewis rectangular pulse model, the most widespread among the category of point process models. The scaling model is further developed introducing one more parameter to better-fit historical data. The Bartlett-Lewis model is theoretically studied to extract mathematical relationships for the intra-storm structure. The inter-comparison is based on the storm hyetographs of a data set from Greece and another one from USA. The different storms are identified in each data set and classified according to their duration. Both models are fitted using the characteristics of storms. The comparison shows that the scaling model of storm hyetograph agrees well with the structure of historical hyetographs whereas the Bartlett-Lewis rectangular pulse model exhibits some discrepancies in either its original version or its random parameter version. However, it is shown that the performance of the Bartlett-Lewis model is significantly improved, and becomes comparable to that of the scaling model, by introducing a power-law dependence of its cell related parameters (duration and rate of arrivals) on the storm duration. © 2001 Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Hydrology	en
dc.identifier.doi	10.1016/S0022-1694(01)00441-3	en
dc.identifier.isi	ISI:000170358900005	en
dc.identifier.volume	251	en
dc.identifier.issue	1-2	en
dc.identifier.spage	65	en
dc.identifier.epage	87	en