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Rainfall-runoff modelling using adaptive neuro-fuzzy systems
Rainfall-runoff modelling adaptive neuro-fuzzy systems
2009/12/4
Two important applications of rainfall-runoff models are forecasting and simulation. At present, rainfall-runoff models based on artificial intelligence methods are built basically for short-term fore...
Rainfall Runoff Modelling Based on Genetic Programming
Rainfall Runoff Modelling Genetic Programming
2009/10/22
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 mo...
Rainfall-runoff modelling in a catchment with a complex groundwater flow system:application of the Representative Elementary Watershed (REW) approach
Representative Elementary Watershed Rainfall-runoff groundwater flow system
2009/5/18
Based on the Representative Elementary Watershed (REW) approach, the modelling tool REWASH (Representative Elementary WAterShed Hydrology) has been developed and applied to the Geer river basin. REWAS...
Constraints of artificial neural networks for rainfall-runoff modelling:trade-offs in hydrological state representation and model evaluation
neural networks rainfall-runoff modelling
2009/5/18
The application of Artificial Neural Networks (ANNs) in rainfall-runoff modelling needs to be researched more extensively in order to appreciate and fulfil the potential of this modelling approach. Th...
CLASSIC:a semi-distributed rainfall-runoff modelling system
rainfall-runoff modelling system semi-distributed
2009/5/6
This paper describes the development of a semi-distributed conceptual rainfall–runoff model, originally formulated to simulate impacts of climate and land-use change on flood frequency. The model has ...