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 proceedingChapter


Operational flood forecasting of 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 the handling of 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. (A)

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
StatePublished - 1991

ASJC Scopus subject areas

  • Engineering(all)


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