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| Titel |
Estimation of antecedent wetness conditions for flood modelling in northern Morocco |
| VerfasserIn |
Y. Tramblay, R. Bouaicha, L. Brocca, W. Dorigo, C. Bouvier, S. Camici, E. Servat |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 16, no. 11 ; Nr. 16, no. 11 (2012-11-23), S.4375-4386 |
| Datensatznummer |
250013581
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| Publikation (Nr.) |
 copernicus.org/hess-16-4375-2012.pdf |
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| Zusammenfassung |
| In northern Morocco are located most of the dams and reservoirs of the country,
while this region is affected by severe rainfall events causing
floods. To improve the management of the water regulation structures, there
is a need to develop rainfall–runoff models to both maximize the storage
capacity and reduce the risks caused by floods. In this study, a model is
developed to reproduce the flood events for a 655 km2
catchment located upstream of the 6th largest dam in Morocco.
Constrained by data availability, a standard event-based model combining a
SCS-CN (Soil Conservation Service Curve
Number) loss model and a Clark unit hydrograph was developed for hourly
discharge simulation using 16 flood events that occurred between 1984 and
2008. The model was found satisfactory to reproduce the runoff and the
temporal evolution of floods, even with limited rainfall data. Several
antecedent wetness conditions estimators for the catchment were compared
with the initial condition of the model. Theses estimators include an
antecedent discharge index, an antecedent precipitation index and a
continuous daily soil moisture accounting model (SMA), based on
precipitation and evapotranspiration. The SMA model performed the best to
estimate the initial conditions of the event-based hydrological model
(R2 = 0.9). Its daily output has been compared with ASCAT
and AMSR-E remote sensing data products, which were both able to reproduce with
accuracy the daily simulated soil moisture dynamics at the catchment scale.
This same approach could be implemented in other catchments of this region
for operational purposes. The results of this study suggest that remote
sensing data are potentially useful to estimate the soil moisture conditions
in the case of ungauged catchments in Northern Africa. |
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