Evaluation of Artificial Intelligent Methods to Release Sediments from Reservoirs by Pressurized Flushing

Subject Areas : Journal of Water Sciences Research

Milad Abdolahpour ¹ , Ali Hosseinzadeh Dalir ² , Hadi Sanikhani ³

1 - Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
2 - Water Engineering Department, Agriculture Faculty, University of Tabriz, Iran
3 - Young Researchers and Elite Club, Saveh Branch, Islamic Azad University, Saveh, Iran

Received: 2014-04-20 Accepted : 2015-03-12 Published : 2015-03-12

Keywords: Artificial Neural Network, Neuro-fuzzy, Pressurized flushing, Semi-Cylinder,

Abstract :

Sedimentation in reservoirs is an important issue that should be considered for the reservoirs operation and useful life. In this study, application of the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) in prediction of the sediment release from the bottom outlet using semi-cylinder for different variables was evaluated. Dimensionless parameters such as dimensionless length and height of the gap and water level were considered. The results indicated that both ANFIS and ANN hadan acceptable performance in this matter. The best performance of the ANFIS and ANN models had root mean square errors equal to 3.95×10-5 and 4.34×10-5, respectively.