Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/36316
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorSaeidifarzad, B-
dc.creatorNourani, V-
dc.creatorAalami, MT-
dc.creatorChau, KW-
dc.date.accessioned2016-04-15T08:37:12Z-
dc.date.available2016-04-15T08:37:12Z-
dc.identifier.issn2073-4441en_US
dc.identifier.urihttp://hdl.handle.net/10397/36316-
dc.language.isoenen_US
dc.publisherMolecular Diversity Preservation International (MDPI)en_US
dc.rights© 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).en_US
dc.rightsThe following publication Saeidifarzad, B.; Nourani, V.; Aalami, M.T.; Chau, K.-W. Multi-Site Calibration of Linear Reservoir Based Geomorphologic Rainfall-Runoff Models. Water 2014, 6, 2690-2716 is available at https://dx.doi.org/10.3390/w6092690en_US
dc.subjectRainfall-runoff modelingen_US
dc.subjectGeomorphological modelen_US
dc.subjectLinear reservoiren_US
dc.subjectMulti-site calibrationen_US
dc.subjectCalibration strategiesen_US
dc.subjectSouth Fork Eel River watersheden_US
dc.titleMulti-site calibration of linear reservoir based Geomorphologic rainfall-runoff modelsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2690en_US
dc.identifier.epage2716en_US
dc.identifier.volume6en_US
dc.identifier.issue9en_US
dc.identifier.doi10.3390/w6092690en_US
dcterms.abstractMulti-site optimization of two adapted event-based geomorphologic rainfall-runoff models was presented using Non-dominated Sorting Genetic Algorithm (NSGA-II) method for the South Fork Eel River watershed, California. The first model was developed based on Unequal Cascade of Reservoirs (UECR) and the second model was presented as a modified version of Geomorphological Unit Hydrograph based on Nash's model (GUHN). Two calibration strategies were considered as semi-lumped and semi-distributed for imposing (or unimposing) the geomorphology relations in the models. The results of models were compared with Nash's model. Obtained results using the observed data of two stations in the multi-site optimization framework showed reasonable efficiency values in both the calibration and the verification steps. The outcomes also showed that semi-distributed calibration of the modified GUHN model slightly outperformed other models in both upstream and downstream stations during calibration. Both calibration strategies for the developed UECR model during the verification phase showed slightly better performance in the downstream station, but in the upstream station, the modified GUHN model in the semi-lumped strategy slightly outperformed the other models. The semi-lumped calibration strategy could lead to logical lag time parameters related to the basin geomorphology and may be more suitable for data-based statistical analyses of the rainfall-runoff process.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationWater (Switzerland), Sep. 2014, v. 6, no. 9, p. 2690-2716-
dcterms.isPartOfWater (Switzerland)-
dcterms.issued2014-
dc.identifier.isiWOS:000342902900009-
dc.identifier.scopus2-s2.0-84907185235-
dc.identifier.rosgroupid2014001233-
dc.description.ros2014-2015 > Academic research: refereed > Publication in refereed journalen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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