Flood modelling using the distributed event-based SCS-LR model in the Mediterranean Real Collobrier catchment

Autor: Christophe Bouvier, Son G. Nguyen
Přispěvatelé: Hydrosciences Montpellier (HSM), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Hydrological Sciences Journal
Hydrological Sciences Journal, Taylor & Francis, 2019, 64 (11), pp.1351-1369. ⟨10.1080/02626667.2019.1639715⟩
ISSN: 0262-6667
DOI: 10.1080/02626667.2019.1639715⟩
Popis: International audience; Event-based models are often used for flood prediction because they require fewer data than morecomplex models and account for a small number of parameters. We present the performance of such amodel in simulating Mediterranean floods, with a focus on the initialization and on the impact of therainfall uncertainties on the calibration of the model. The distributed event-based parsimonious SoilConservation Service Lag-and-Route (SCS-LR) model was applied in the Real Collobrier catchment,France, which has a very high density of raingauges. The initial condition of the model was highlycorrelated with predictors, such as baseflow or soil water content. A reduction in the raingauge densitycan markedly change the calibration of the model. As the density of raingauges is generally low in mostcatchments, the uncertainties associated with rainfall measurement are thus expected either to maskthe actual accuracy of the model, or to alter the model parameters
Databáze: OpenAIRE