Paper Information

Journal:   ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH)   SUMMER 2009 , Volume 2 , Number 5; Page(s) 23 To 37.
 
Paper: 

APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR RUNOFF ESTIMATION (CASE STUDY: PLASJAN BASIN-ZAYANDEHRUD WATERSHED)

 
 
Author(s):  NASRI MASOUD, MODARES R., DASTOURANI M.T.
 
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Abstract: 

Runoff estimation is an important part of water resources management of watersheds. Although a lot of physical and statistical methods are available which apply different watershed parameters, the black box artificial neural networks are more suitable methods.
In this study, a multilayer perceptron network is applied for estimation of daily runoff from daily rainfall of Plasjan Basin. At first, daily rainfall series of 3 stations and daily discharge of Plasjan station were normalized and according to autocorrelation and cross correlation of rainfall-runoff data, 6 variables were selected as input of the network and a 4-hidden-layer network was found to be more valid comparing with other networks.

 
Keyword(s): RUNOFF, MULTILAYER PERCEPTRON NETWORK, VALIDATION, AUTOCORRELATION, PLASJAN BASIN
 
References: 
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