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 forecasting purposes and these models are not very effective for simulation purposes. This study explores the applicability and effectiveness of adaptive neuro-fuzzy-system-based rainfall-runoff models for both forecasting and simulation. For this purpose, an adaptive neuro-fuzzy system with autoregressive exogenous input (ARX) structure is proposed and an application is presented for the modelling of rainfall-runoff processes in the Sieve basin in Italy.
Research Article|January 01 2001
Rainfall-runoff modelling using adaptive neuro-fuzzy systems
D. K. Gautam
Journal of Hydroinformatics (2001) 3 (1): 3-10.
D. K. Gautam, K. P. Holz; Rainfall-runoff modelling using adaptive neuro-fuzzy systems. Journal of Hydroinformatics 1 January 2001; 3 (1): 3–10. doi: https://doi.org/10.2166/hydro.2001.0002
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