Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/10958
DC FieldValueLanguage
dc.contributor.authorSavvidou, Eleni-
dc.contributor.authorEfstratiadis, Andreas-
dc.contributor.authorKoussis, Antonis D.-
dc.contributor.authorKoukouvinos, Antonis-
dc.contributor.authorSkarlatos, Dimitrios-
dc.date.accessioned2018-04-20T05:22:48Z-
dc.date.available2018-04-20T05:22:48Z-
dc.date.issued2018-02-11-
dc.identifier.citationWater, 2018, vol. 10, no. 2en_US
dc.identifier.issn20734441-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/10958-
dc.description.abstractIn this paper, a new methodology for delineating Hydrological Response Units (HRUs), based on the Curve Number (CN) concept, is presented. Initially, a semi-automatic procedure in a GIS environment is used to produce basin maps of distributed CN values as the product of the three classified layers, soil permeability, land use/land cover characteristics and drainage capacity. The map of CN values is used in the context of model parameterization, in order to identify the essential number and spatial extent of HRUs and, consequently, the number of control variables of the calibration problem. The new approach aims at reducing the subjectivity introduced by the definition of HRUs and providing parsimonious modelling schemes. In particular, the CN-based parameterization (1) allows the user to assign as many parameters as can be supported by the available hydrological information, (2) associates the model parameters with anticipated basin responses, as quantified in terms of CN classes across HRUs, and (3) reduces the effort for model calibration, simultaneously ensuring good predictive capacity. The advantages of the proposed approach are demonstrated in the hydrological simulation of the Nedontas River Basin, Greece, where parameterizations of different complexities are employed in a recently improved version of the HYDROGEIOS model. A modelling experiment with a varying number of HRUs, where the parameter estimation problem was handled through automatic optimization, showed that the parameterization with three HRUs, i.e., equal to the number of flow records, ensured the optimal performance. Similarly, tests with alternative HRU configurations confirmed that the optimal scores, both in calibration and validation, were achieved by the CN-based approach, also resulting in parameters values across the HRUs that were in agreement with their physical interpretation.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofWateren_US
dc.rights© This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen_US
dc.subjectCalibrationen_US
dc.subjectCurve numberen_US
dc.subjectDistributed hydrological modellingen_US
dc.subjectGISen_US
dc.subjectHYDROGEIOS modeling frameworken_US
dc.subjectHydrological response unitsen_US
dc.subjectParameterizationen_US
dc.titleThe curve number concept as a driver for delineating Hydrological Response Unitsen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationNational Technical University Of Athensen_US
dc.collaborationNational Observatory of Athensen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.countryGreeceen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/w10020194en_US
dc.relation.issue2en_US
dc.relation.volume10en_US
cut.common.academicyear2017-2018en_US
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
crisitem.journal.journalissn2073-4441-
crisitem.journal.publisherMDPI-
crisitem.author.deptDepartment of Civil Engineering and Geomatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-2732-4780-
crisitem.author.parentorgFaculty of Engineering and Technology-
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