Operational flood forecasting on the River Meuse using on-line identification

P. A. Troch, F. P. De Troch, D. Van Erdeghem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Operational flood forecasting on the River Meuse in Belgium is based on both hydrologic and hydraulic modelling. The hydrologic models take into account the rainfall-runoff relationships for the main subcatchments. This allows to handle the spatially-variable hydrologic behaviour of the total basin. Classical modelling procedures such as a time-invariant stochastic approach, cannot handle problems related to the changing dynamics of the hydrologic processes. This paper discusses a methodology based on on-line estimation of parameters, to model short variations in the response of the main subcatchments of the Meuse. The variation of the parameters is modelled by means of a random walk method. Some objective criteria for evaluation forecasting performance are introduced. It can be concluded that, in general, adaptive modelling improves the real-time performance within the linear framework.

Original languageEnglish (US)
Title of host publicationHydrology for the Water Management of Large River Basins
PublisherPubl by IAHS
Pages379-389
Number of pages11
Edition201
ISBN (Print)0947571973
StatePublished - Jan 1 1991
Externally publishedYes
Event20th General Assembly of the International Union of Geodesy and Geophysics - Vienna, Austria
Duration: Aug 11 1991Aug 24 1991

Publication series

NameIAHS Publication (International Association of Hydrological Sciences)
Number201

Other

Other20th General Assembly of the International Union of Geodesy and Geophysics
CityVienna, Austria
Period8/11/918/24/91

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Troch, P. A., De Troch, F. P., & Van Erdeghem, D. (1991). Operational flood forecasting on the River Meuse using on-line identification. In Hydrology for the Water Management of Large River Basins (201 ed., pp. 379-389). (IAHS Publication (International Association of Hydrological Sciences); No. 201). Publ by IAHS.