An adaptive predictive approach for river level forecasting
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hdl:2117/14754
Document typeConference lecture
Defense date2011
PublisherIEEE
Rights accessRestricted access - publisher's policy
Abstract
Efficient flood management requires accurate real time forecasts to allow early warnings, real time control of hydraulics structures or other actions. Commercially available
computing tools typically use, for flow or level forecasting, hydraulic models derived from the numerical approximation of Saint-Venant equations. These tools need powerful computers, accurate knowledge of the riverbed topography and skilled operators with some hydraulic background. This paper presents an alternative approach in which the river network is modeled as a cascade of interconnected input-output systems. Each system is modeled by an adaptive predictive expert model, which provides real-time fast and accurate forecasts over a moving prediction horizon. The main advantages of the approach are: (1) simplicity in the formulation and low computational burden; (2) no need of topographic information on the river waterbeds; (3) operators do
not need strong hydraulic knowledge and the forecast may be done autonomously. The approach is evaluated using real data from the Ebro river basin in Spain.
CitationAguilar, J.V. [et al.]. An adaptive predictive approach for river level forecasting. A: International Conference on Networking, Sensing and Control. "Proceedings of the 20111 IEEE International Conference on Networking, Sensing and Control". Delft: IEEE, 2011, p. 92-97.
ISBN978-1-4244-9572-6
Publisher versionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5874900
Collections
- CoDAlab - Control, Modelització, Identificació i Aplicacions - Ponències/Comunicacions de congressos [155]
- Departament de Matemàtiques - Ponències/Comunicacions de congressos [939]
- FLUMEN - Dinàmica Fluvial i Enginyeria Hidrològica - Ponències/Comunicacions de congressos [81]
- Departament d'Enginyeria Hidràulica, Marítima i Ambiental (fins octubre 2015) - Ponències/Comunicacions de congressos [118]
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