Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Use of Meta-Heuristic Techniques in Rainfall-Runoff Modelling

Each year, extreme floods, which appear to be occurring more frequently in recent years (owing to climate change), lead to enormous economic damage and human suffering around the world. It is therefore imperative to be able to accurately predict both the occurrence time and magnitude of peak discharge in advance of an impending flood event. The use of meta-heuristic techniques in rainfall-runof...

Rainfall-Runoff Modelling Using Genetic Programming

The problem of accurately determining river flows from rainfall, evaporation and other factors, occupies an important place in hydrology. The rainfall-runoff process is believed to be highly non-linear, time varying, spatially distributed and not easily described by simple models. Practitioners in water resources have embraced data-driven modelling approaches enthusiastically, as they are perce...

Rainfall Runoff Modelling Based on Genetic Programming

The runoff formation process is believed to be highly non-linear, time varying, spatially distributed, and not easily described by simple models. Considerable time and effort has been directed to model this process, and many hydrologic models have been built specifically for this purpose. All of them, however, require significant amounts of data for their respective calibration and validation. ...

Application of the REW approach in rainfall-runoff modelling

G. P. Zhang and H. H. G. Savenije Water Resources Section, Faculty of Civil Engineering and Applied Geosciences, Delft University of Technology, Stevinweg 1, P.O. Box 5048, 2600 GA Delft, The Netherlands Received: 7 March 2005 – Accepted: 15 April 2005 – Published: 12 May 2005 Correspondence to: G. P. Zhang ([email protected]) © 2005 Author(s). This work is licensed under a Creative Com...

Mixtures of experts approaches in rainfall-runoff modelling