Impact de l'aggrégation spatiale des entrées et des paramètres sur la performance des modèles pluie-débit: une étude théorique fondée sur des bassins versants chimères
Autor: | Andréassian, V., Oddos, A., Michel, C., Anctil, F., Charles Perrin, Loumagne, C. |
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Přispěvatelé: | Qualité et fonctionnement hydrologique des systèmes aquatiques (UR QHAN), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), Université Laval [Québec] (ULaval) |
Jazyk: | angličtina |
Rok vydání: | 2004 |
Předmět: | |
Zdroj: | Water Resources Research Water Resources Research, American Geophysical Union, 2004, 40 (5), pp.9. ⟨10.1029/2003WR002854⟩ Scopus-Elsevier |
ISSN: | 0043-1397 1944-7973 |
DOI: | 10.1029/2003WR002854⟩ |
Popis: | International audience; This paper examines the respective merits of aggregative and disaggregative approaches in hydrological modeling and aims at determining how to identify the most appropriate level of spatial distribution in rainfall-runoff modeling. The lumped approach is compared with two types of semi-distributed approaches to assess the relative importance of rainfall and parameter distribution on modeling results. In order to base these comparisons on a large number of definitely heterogeneous basins, we introduce chimera watersheds. Chimera watersheds associate two actual watersheds of similar size to constitute a third, highly heterogeneous virtual basin, where the knowledge of spatialized flows makes it possible to test disaggregated approaches and to compare them to the lumped approach. We show that the greatest portion (two-thirds) of improvement contributed by spatial distribution comes from accounting for rainfall variability. If spatial distribution is considered to be a useful direction leading to improving the reliability of hydrological models, we believe that efforts should be directed first and foremost towards the use of spatially distributed rainfall data and only secondary to the disaggregation of watershed (land-surface) parameters. |
Databáze: | OpenAIRE |
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