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

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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


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. -Authors

Original languageEnglish (US)
Pages (from-to)379-389
Number of pages11
JournalUnknown Journal
StatePublished - 1991

ASJC Scopus subject areas

  • General Environmental Science
  • General Earth and Planetary Sciences


Dive into the research topics of 'Operational flood forecasting on the River Meuse using on-line identification'. Together they form a unique fingerprint.

Cite this