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| Titel |
Correction of upstream flow and hydraulic state with data assimilation in the context of flood forecasting |
| VerfasserIn |
S. Ricci, A. Piacentini, O. Thual, E. Pape, G. Jonville |
| 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 ; 15, no. 11 ; Nr. 15, no. 11 (2011-11-23), S.3555-3575 |
| Datensatznummer |
250013031
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| Publikation (Nr.) |
 copernicus.org/hess-15-3555-2011.pdf |
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| Zusammenfassung |
| The present study describes the assimilation of river water level
observations and the resulting improvement in flood forecasting.
The Kalman Filter algorithm was built on top of a one-dimensional hydraulic model
which describes the Saint-Venant equations. The assimilation algorithm folds in two steps: the first one was
based on the assumption that the upstream flow can be adjusted using a
three-parameter correction; the second one consisted of directly correcting
the hydraulic state. This procedure was applied using a four-day sliding window
over the flood event. The background error covariances for water level
and discharge were represented with anisotropic correlation functions where the
correlation length upstream of the observation points is larger than the
correlation length downstream of the observation points.
This approach was motivated by the implementation of a Kalman Filter algorithm
on top of a diffusive flood wave propagation model. The study was carried out on the Adour and the Marne Vallage (France)
catchments. The correction of the upstream flow as well as the control of the
hydraulic state during the flood event leads to a significant improvement in
the water level and discharge in both analysis and forecast modes. |
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