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| Titel |
A physically-based parsimonious hydrological model for flash floods in Mediterranean catchments |
| VerfasserIn |
H. Roux, D. Labat, P.-A. Garambois, M.-M. Maubourguet, J. Chorda, D. Dartus |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 11, no. 9 ; Nr. 11, no. 9 (2011-09-27), S.2567-2582 |
| Datensatznummer |
250009679
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| Publikation (Nr.) |
 copernicus.org/nhess-11-2567-2011.pdf |
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| Zusammenfassung |
| A spatially distributed hydrological model, dedicated to flood simulation,
is developed on the basis of physical process representation (infiltration,
overland flow, channel routing). Estimation of model parameters requires
data concerning topography, soil properties, vegetation and land use. Four
parameters are calibrated for the entire catchment using one flood event.
Model sensitivity to individual parameters is assessed using Monte-Carlo
simulations. Results of this sensitivity analysis with a criterion based on
the Nash efficiency coefficient and the error of peak time and runoff are
used to calibrate the model. This procedure is tested on the Gardon d'Anduze
catchment, located in the Mediterranean zone of southern France. A first
validation is conducted using three flood events with different
hydrometeorological characteristics. This sensitivity analysis along with
validation tests illustrates the predictive capability of the model and
points out the possible improvements on the model's structure and
parameterization for flash flood forecasting, especially in ungauged basins.
Concerning the model structure, results show that water transfer through the
subsurface zone also contributes to the hydrograph response to an extreme
event, especially during the recession period. Maps of soil saturation
emphasize the impact of rainfall and soil properties variability on these
dynamics. Adding a subsurface flow component in the simulation also greatly
impacts the spatial distribution of soil saturation and shows the importance
of the drainage network. Measures of such distributed variables would help
discriminating between different possible model structures. |
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