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Simulation Torrential Discharge by using multilayer Back propagation model of Artificial Neural Network (Case Study:Minab Watershed)

Author:
[ Amin Zoratipour ] -

Abstract:

One of the necessary tools in the water resource management is prediction produce and water demand.Estimation the river discharge is the main hydrology problems that are very important for flood management .a actually predict of flood given to us either benefit information for water resource management and reduce consumption water facinates and prevented from unavailability phenomenons.Prediction river flow a problem is that very important for economical analysis of water resource management .Artificial neural network is a flexibility technical by mathematical model that allow us,without considering natural phenomena to determinate nonlinear complex interaction between output and input Data.Particularly precipitation –runoff models is very complex problem the consulted nonlinear reaction of awatershed related the rainfall phenomena.Therefore complexity enhanced consulting space movement precipitation.In this research,us goal applied artificial neural network in the river training management ,that using by method predicted floody daily discharge in Minab Station.Results show that despite having some error in artificial neural network method but have high clarity and consulting is proper for simulation floody discharge .Thus,we offer neural network model because its structure is very simple,its speed in consulting is very high and requipment data is available.

Keywords:

Simulation,neural network,Torrential ,discharge,Multilayer Back Propagation model