Modeling Of The relationship between Rainfall,Runoff by using Artificial Neural Network


Abstract in English

The relationship between precipitation and surface runoff is one of the fundamental components of the hydrological cycle of water in nature and is one of the most complex and difficult to understand because of the large number of parameters involved in the modeling of physical processes and the breadth of parmetry and temporary change in basin specifications. Multiple rainfall models Modeling the relationship between precipitation and runoff is very important for engineering design and integrated water resources management, as well as flood forecasting and risk prevention.

References used

PITTAMS, R. An Empirical Relationship Between Rainfall and Runoff, Journal of Hydrology New Zealand, Vol. 24, No . 2, 1970, 357-372
DAWSON, C. ؛ WILBY, R. An artificial neural network approach to rainfallrunoff modeling, Hydrological Sciences— Journal—des Sciences Hydrolo U.K. Vol.43, NO.1, 1998, 47-66
Arslan, C. Rainfall–Runoff Modeling Based on Artificial Neural Networks (ANNs). European Journal of Scientific Research U. K. Vol. 65, No. 4, 2011, 490-506

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