USE OF MULTIPLE-TIME-STEP INFORMATION IN RAINFALL-RUNOFF MODELING

NALBANTIS, I

dc.contributor.author	NALBANTIS, I	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/123456789/11714
dc.subject	Continuous Time Models	en
dc.subject	Flood Forecasting	en
dc.subject	Model Calibration	en
dc.subject	Production Function	en
dc.subject	rainfall-runoff modelling	en
dc.subject	rainfall-runoff models	en
dc.subject	Runoff Generation	en
dc.subject	Real Time	en
dc.subject	Transfer Function	en
dc.subject.classification	Engineering, Civil	en
dc.subject.classification	Geosciences, Multidisciplinary	en
dc.subject.classification	Water Resources	en
dc.subject.other	AUTOMATIC CALIBRATION	en
dc.subject.other	OBSERVABILITY	en
dc.subject.other	OPTIMIZATION	en
dc.subject.other	UNIQUENESS	en
dc.subject.other	ALGORITHMS	en
dc.title	USE OF MULTIPLE-TIME-STEP INFORMATION IN RAINFALL-RUNOFF MODELING	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/0022-1694(94)02567-U	en
heal.identifier.secondary	http://dx.doi.org/10.1016/0022-1694(94)02567-U	en
heal.language	English	en
heal.publicationDate	1995	en
heal.abstract	A methodology is proposed for using information from daily hydrological records in rainfall-runoff models that operate on time bases much shorter than a day. First, the calibration problem is tackled. Parameters of the model runoff generating component or production function are identified on a long series of daily data and then are adjusted effectively to the final subdaily time step. The transfer function component is estimated independently through the FDTF-ERUHDIT method based on limited event-based data on the final time step. The two functions are then brought together to form a new model, the derived model. Subsequently, the latter model is used in an operational context only in flood periods after it has been initialised through the daily model and some of its state variables have been tuned. The methodology for both model calibration and initialisation is evaluated and compared with the direct calibration and use of continuous-time models, Two well-known conceptual rainfall-runoff models (SACRAMENTO and TANK) are tested within a framework that is set up on real-world data from a Creek basin. The methodology proposed proved very efficient for model calibration on the basis of inappropriate data sets that comprise long daily observations and continuous charts for only some flood events. This commonly appears in the planning phase of a flood forecasting system. Also, an effective method for model initialisation is proposed that is useful in real-time flood forecasting.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	JOURNAL OF HYDROLOGY	en
dc.identifier.doi	10.1016/0022-1694(94)02567-U	en
dc.identifier.isi	ISI:A1995QE03800008	en
dc.identifier.volume	165	en
dc.identifier.issue	1-4	en
dc.identifier.spage	135	en
dc.identifier.epage	159	en