publication . Article . 2015

Comparison of the Gen Expression Programming, Nonlinear Time Series and Artificial Neural Network in Estimating the River Daily Flow (Case Study: The Karun River)

R. Zamani; F. Ahmadi; F. Radmanesh;
Open Access Persian
  • Published: 01 Jun 2015 Journal: Majallah-i āb va Khāk (issn: 2008-4757, eissn: 2423-396X, Copyright policy)
  • Publisher: Ferdowsi University of Mashhad
Abstract
Today, the daily flow forecasting of rivers is an important issue in hydrology and water resources and thus can be used the results of daily river flow modeling in water resources management, droughts and floods monitoring. In this study, due to the importance of this issue, using nonlinear time series models and artificial intelligence (Artificial Neural Network and Gen Expression Programming), the daily flow modeling has been at the time interval (1981-2012) in the Armand hydrometric station on the Karun River. Armand station upstream basin is one of the most basins in the North Karun basin and includes four sub basins (Vanak, Middle Karun, Beheshtabad and Koh...
Subjects
free text keywords: Modeling, Artificial Intelligence, Daily discharge, Karun River, Agriculture (General), S1-972
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