dot
Detailansicht
Katalogkarte GBA
Katalogkarte ISBD
Suche präzisieren
Drucken
Download RIS
Hier klicken, um den Treffer aus der Auswahl zu entfernen
Titel Identifying and reducing model structure uncertainty based on analysis of parameter interaction
VerfasserIn Y. Wang, J. Dietrich, F. Voß, M. Pahlow
Medientyp Artikel
Sprache Englisch
ISSN 1680-7340
Digitales Dokument URL
Erschienen In: Large-scale hydrological modelling and the European Union water policies ; Nr. 11 (2007-06-20), S.117-122
Datensatznummer 250009018
Publikation (Nr.) Volltext-Dokument vorhandencopernicus.org/adgeo-11-117-2007.pdf
 
Zusammenfassung
Multi-objective optimization algorithms are widely used for the calibration of conceptual hydrological models. Such algorithms yield a set of Pareto-optimal solutions, reflecting the model structure uncertainty. In this study, a multi-objective optimization strategy is suggested, which aims at reducing the model structure uncertainty by considering parameter interaction within Pareto-optimal solutions. The approach has been used to develop a nested setup of a rainfall-runoff model, which is integrated in a probabilistic meso-/macroscale flood forecasting system. The optimization strategy aided in determining the best combination of a lumped (computationally efficient in operational real time forecasting) and a semi-distributed parameterization of the hydrological model. First results are shown for two subbasins of the Mulde catchment in Germany. The different phenomena of parameter interaction were analysed in this case study to reduce the model structure uncertainties.
 
Teil von