Data reconciliation of an open channel flow network using modal decomposition | Réconciliation de données d'un réseau hydraulique à surface libre à l'aide de la décomposition modale
2009
Wu, Qingfang | Litrico, Xavier | Bayen, Alexandre | DPT OF CIVIL AND ENVIRONMENTAL ENGINEERING U.C. BERKELEY USA ; Partenaires IRSTEA ; Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) | Gestion de l'Eau, Acteurs, Usages (UMR G-EAU) ; Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-AgroParisTech-Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF)-Institut de Recherche pour le Développement (IRD [Occitanie])-Centre International de Hautes Etudes Agronomiques Méditerranéennes - Institut Agronomique Méditerranéen de Montpellier (CIHEAM-IAMM) ; Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)-Centre International de Hautes Études Agronomiques Méditerranéennes (CIHEAM)
[Departement_IRSTEA]Eaux [TR1_IRSTEA]ARCEAU
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Afficher plus [+] Moins [-]anglais. This article presents a method to estimate flow variables for an open channel network governed by the linearized Saint-Venant equations and subject to periodic forcing. The discharge at the upstream end of the system and the stage at the downstream end of the system are defined as the model input, which we can measure; the flow properties at selected internal locations, as well as the other external boundary conditions, are defined as the output which we would like to estimate. A spatially-dependent transfer matrix in the frequency domain is constructed to relate the model input and output using modal decomposition. A data reconciliation technique is used to incorporate the error in the measured data and results in a set of reconciliated external boundary conditions; subsequently, the flow properties at any location in the system can be accurately constructed from the inputmeasurements. The applicability and effectiveness of the method is demonstrated with a case study of the river flow subject to tidal forcing in the Sacramento-San Joaquin Delta, in California. The proposed method gives an accurate estimation of the flow properties at intermediate locations within the channel network.
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