Conclusions and Recommendations

This study deals with deflning and exploring the principles and methods of hybrid modelling applied to the problem of hydrological forecasting. Hybrid modelling involves two or more modelling paradigms, and the two paradigms considered were hydrological process-based modelling, and data-driven modelling. They were combined using the principles of modularization, as well as parallel and complementary modelling. It has been shown how these two modelling paradigms form hybrid models, and can interact and complement each other in flow forecasting. In the framework of the major case study, the developed models were tested as software components into the operational hydrological forecasting system for the Meuse river basin, based on the Delft/FEWS platform and the HBV model.