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Identification of a flow-routing model for the Red River network

Authors :
Andrea Castelletti
Marco Lovera
Francesca Pianosi
Source :
IFAC Proceedings Volumes. 45:1037-1042
Publication Year :
2012
Publisher :
Elsevier BV, 2012.

Abstract

Flow routing models are an essential tool for water systems planning and management. In the last few years, advances in modelling capability, enhanced data availability, and increasing computational power have made the use of large, process-based, flow-routing models more common. However, the computational burden of such models still prevents their systematic application for operational purposes. This paper presents an alternative, data-driven approach to the identification of a flow-routing model both in one-step-ahead prediction and simulation mode, and demonstrates it by application to the Red River network, in Northern Vietnam. In particular, MIMO time-invariant models for the network are considered, their parameters are estimated using subspace model identification techniques and their performance is assessed with respect to the available data. Results show that the non-linear process of flow propagation is accurately reproduced both in prediction and simulation using very low order models.

Details

ISSN :
14746670
Volume :
45
Database :
OpenAIRE
Journal :
IFAC Proceedings Volumes
Accession number :
edsair.doi.dedup.....b2b5f262335525cf910bfa5461449862