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Paper Information

Journal:   JOURNAL OF AGRICULTURAL SCIENCE (UNIVERSITY OF TABRIZ)   2006 , Volume 15 , Number 4; Page(s) 157 To 170.
 
Paper: 

RAINFALL-RUNOFF AND RIVER FLOW SIMULATION IN UNGAGED PLACES USING ARTIFICIAL NEURAL NETWORKS AND GIS

 
 
Author(s):  MISAGHI F., DAYYANI SH., MOHAMMADI K.*
 
* DEPT. OF IRRIGATION AND DRAINAGE ENG., TARBIAT MODARRES UNIVERSITY, TEHRAN, IRAN
 
Abstract: 

River flow estimation has been the interest of hydrologists for long time and several methods have been introduced. Among recent methods, artificial neural networks (ANN) and geographic information system (GIS) have drawn more attention. In this research, GIS was used to calculate the characteristics of watershed, waterways, and flow directions in order to estimate the river flow discharges. Several layers were created in GIS including DEM, flow direction, flow accumulation, flow length and stream grid. In addition, ANN model was used to simulate the nonlinear rainfall runoff phenomena in every subbasin of Gharahsoo river watershed. The outputs of each ANN models in previous section were used as input of ANN model for river flow routing in order to calculate the flow discharge in specific point of the river. In this study, Gharahsoo river was selected to test the proposed methods. The calculated results were compared with observed data and it showed a good agreement.

 
Keyword(s): ARTIFICIAL NEURAL NETWORKS, GEOGRAPHIC INFORMATION SYSTEM, HYDROLOGY, RAINFALL- RUNOFF
 
References: 
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