One decade of multi-objective calibration approaches in hydrological modelling: A review [Une décennie d'approches de calage multi-objectifs en modélisation hydrologique: Une revue]

Efstratiadis, A; Koutsoyiannis, D

dc.contributor.author	Efstratiadis, A	en
dc.contributor.author	Koutsoyiannis, D	en
dc.date.accessioned	2014-03-01T11:45:09Z
dc.date.available	2014-03-01T11:45:09Z
dc.date.issued	2010	en
dc.identifier.issn	0262-6667	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/37249
dc.subject	Equifinality	en
dc.subject	Hybrid calibration	en
dc.subject	Multi-objective evolutionary algorithms	en
dc.subject	Multiple responses	en
dc.subject	Soft data	en
dc.subject	Uncertainty	en
dc.subject.classification	Water Resources	en
dc.subject.other	Equifinality	en
dc.subject.other	Hybrid calibration	en
dc.subject.other	Multi-objective evolutionary algorithms	en
dc.subject.other	Multiple response	en
dc.subject.other	Soft data	en
dc.subject.other	Uncertainty	en
dc.subject.other	Calibration	en
dc.subject.other	Inverse kinematics	en
dc.subject.other	Multiobjective optimization	en
dc.subject.other	Site selection	en
dc.subject.other	Evolutionary algorithms	en
dc.subject.other	algorithm	en
dc.subject.other	calibration	en
dc.subject.other	data set	en
dc.subject.other	hydrological modeling	en
dc.subject.other	hydrology	en
dc.subject.other	literature review	en
dc.subject.other	multiobjective programming	en
dc.subject.other	optimization	en
dc.subject.other	parameterization	en
dc.subject.other	uncertainty analysis	en
dc.title	One decade of multi-objective calibration approaches in hydrological modelling: A review [Une décennie d'approches de calage multi-objectifs en modélisation hydrologique: Une revue]	en
heal.type	other	en
heal.identifier.primary	10.1080/02626660903526292	en
heal.identifier.secondary	http://dx.doi.org/10.1080/02626660903526292	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	One decade after the first publications on multi-objective calibration of hydrological models, we summarize the experience gained so far by underlining the key perspectives offered by such approaches to improve parameter identification. After reviewing the fundamentals of vector optimization theory and the algorithmic issues, we link the multi-criteria calibration approach with the concepts of uncertainty and equifinality. Specifically, the multi-criteria framework enables recognition and handling of errors and uncertainties, and detection of prominent behavioural solutions with acceptable trade-offs. Particularly in models of complex parameterization, a multiobjective approach becomes essential for improving the identifiability of parameters and augmenting the information contained in calibration by means of both multi-response measurements and empirical metrics (""soft"" data), which account for the hydrological expertise. Based on the literature review, we also provide alternative techniques for dealing with conflicting and non-commeasurable criteria, and hybrid strategies to utilize the information gained towards identifying promising compromise solutions that ensure consistent and reliable calibrations. © 2010 IAHS Press.	en
heal.publisher	TAYLOR & FRANCIS LTD	en
heal.journalName	Hydrological Sciences Journal	en
dc.identifier.doi	10.1080/02626660903526292	en
dc.identifier.isi	ISI:000278012900006	en
dc.identifier.volume	55	en
dc.identifier.issue	1	en
dc.identifier.spage	58	en
dc.identifier.epage	78	en