Unit hydrograph and effective precipitation identification

Nalbantisa, I; Obled, Ch; Rodriguez, JY

dc.contributor.author	Nalbantisa, I	en
dc.contributor.author	Obled, Ch	en
dc.contributor.author	Rodriguez, JY	en
dc.date.accessioned	2014-03-01T01:11:34Z
dc.date.available	2014-03-01T01:11:34Z
dc.date.issued	1995	en
dc.identifier.issn	0022-1694	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/11712
dc.subject	Evaluation Framework	en
dc.subject	Product Model	en
dc.subject	rainfall-runoff models	en
dc.subject	Sampling Effect	en
dc.subject	Synthetic Data	en
dc.subject	Transfer Function	en
dc.subject	Unit Hydrograph	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Water Resources	en
dc.subject.other	effective precipitation	en
dc.subject.other	model calibration	en
dc.subject.other	rainfall	en
dc.subject.other	rainfall/runoff model	en
dc.subject.other	unit hydrograph	en
dc.subject.other	Calibration	en
dc.subject.other	Hydrographs	en
dc.subject.other	Identification	en
dc.subject.other	Modelling	en
dc.subject.other	Precipitation	en
dc.subject.other	Runoff	en
dc.subject.other	Unit	en
dc.title	Unit hydrograph and effective precipitation identification	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0022-1694(94)02625-L	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0022-1694(94)02625-L	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	A recently proposed method for calibrating lumped rainfall-runoff models, called FDTFERUHDIT, is analysed and evaluated on synthetic data. Based on the Unit Hydrograph concept this method performs a simultaneous identification of the excess rainfall series and the transfer function or unit hydrograph through an alternating iterative procedure without presuming any runoff production model or applying any arbitrary baseflow removal. A general evaluation framework was built to allow for generation of realistic data both error-free and contaminated with controlled errors. The problems of the method's convergence and sensitivity to errors in the data and the model structure assumed are tackled. A rather exhaustive series of tests involve also evaluations of the effects of a priori choices of optimisation algorithms and their parameters, as well as assessments of sampling effects. Combinations of these factors are also tested. Finally, useful guidelines for practical use of the new identification approach are derived. © 1995.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Journal of Hydrology	en
dc.identifier.doi	10.1016/0022-1694(94)02625-L	en
dc.identifier.isi	ISI:A1995QY98900008	en
dc.identifier.volume	168	en
dc.identifier.issue	1-4	en
dc.identifier.spage	127	en
dc.identifier.epage	157	en