Titre :
|
Data-based mechanistic modelling and forecasting of hydrological systems
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Titre original:
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Bases de données mécanistes et prévisions de systémes hydrologiques
|
Auteurs :
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M. Lees
|
Type de document :
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article/chapitre/communication
|
Année de publication :
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2000
|
Format :
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15-34
|
Langues:
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= Anglais
|
Catégories :
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CARACTERISTIQUES HYDROLOGIQUES
MATHEMATIQUES STATISTIQUES
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Mots-clés:
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BASE DE DONNEES
;
PREVISION DE CRUE
;
ALGORITHME
;
TEMPS REEL
;
VARIABILITE TEMPORELLE
;
FILTRE DE KALMAN
;
SERIE CHRONOLOGIQUE
|
Résumé :
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The paper presents a data-driven approach to the modelling and forecasting of hydrological systems based on nonlinear time-series analysis. Time varying parameters are estimated using a combined Kalman filter and fixed-interval-smoother, a state-dependent parameter relations are identified leading to nonlinear extensions to common time-series models. Rainfall-runoff and flood routing case studies are included to demonstrate the power of the modelling and forecasting methods. Optimal system identification techniques are required to objectively identify parallel flow pathways.
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Source :
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Journal of hydroinformatics, vol n°02 1
|