An expert system for predicting aeration performance of weirs by using ANFIS

A free overfall jet from a weir plunging into downstream water causes entrainment of the air bubbles if the free overfall jet velocity exceeds a certain critical value and hence aeration occurs. This study investigates the free overfall jets from triangular sharp-crested weirs and effect on their air entrainment rate and the aeration efficiency. An expert system based on adaptive network based fuzzy inference system (ANFIS) was obtained for predicting air entrainment rate and aeration efficiency of weirs. The performance of ANFIS model was compared with multi nonlinear and linear regression models. There were good agreements between the measured values and the values obtained using the ANFIS model.

[1]  David Azbel,et al.  Two-phase flows in chemical engineering , 1981 .

[2]  J. Hinze.  Fundamentals of the hydrodynamic mechanism of splitting in dispersion processes , 1955 .

[3]  John S. Gulliver,et al.  Indexing Gas Transfer in Self-Aerated Flows , 1990 .

[4]  Özgür Kişi,et al.  Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation / Prévision et estimation de la concentration en matières en suspension avec des perceptrons multi-couches et l’algorithme d’apprentissage de Levenberg-Marquardt , 2004 .

[5]  R. S. Govindaraju,et al.  Artificial Neural Networks in Hydrology , 2010 .

[6]  Ahmet Baylar,et al.  Aeration performance of weirs , 2000 .

[7]  S. Bruckenstein.  Physicochemical hydrodynamics , 1977, Nature.

[8]  Ahmet Baylar,et al.  Influence of Included Angle and Sill Slope on Air Entrainment of Triangular Planform Labyrinth Weirs , 2005 .

[9]  Hubert Chanson,et al.  Predicting Oxygen Content Downstream of Weirs, Spillways and Waterways , 1995 .

[10]  Ahmet Baylar,et al.  An Investigation on the Use of Venturi Weirs as an Aerator , 2003 .

[11]  Ahmet Baylar,et al.  Experimental Study of the Influence of Different Weir Types on the Rate of Air Entrainment , 2003 .

[12]  N. Null.  Artificial Neural Networks in Hydrology. I: Preliminary Concepts , 2000 .

[13]  Ahmet Baylar,et al.  Experimental studies on air entrainment and oxygen content downstream of sharp-crested weirs , 2006 .

[14]  Eamon McKeogh,et al.  EFFECT OF TURBULENCE INTENSITY ON THE RATE OF AIR ENTRAINMENT BY PLUNGING WATER JETS. , 1980 .

[15]  Ahmet Baylar,et al.  The Role of Weir Types in Entrainment of Air Bubbles , 2007 .

[16]  M. Karamouz,et al.  Water allocation improvement in river basin using Adaptive Neural Fuzzy Reinforcement Learning approach , 2007, Appl. Soft Comput..

[17]  Davut Hanbay,et al.  Modeling Aeration Efficiency of Stepped Cascades by Using ANFIS , 2007 .

[18]  John S. Gulliver,et al.  PREDICTIVE CAPABILITIES IN OXYGEN TRANSFER AT HYDRAULIC STRUCTURES , 1998 .

[19]  Peter R. Wormleaton,et al.  Aeration performance of rectangular planform labyrinth weirs , 2000 .

[20]  John S. Gulliver,et al.  Reaeration at Low-Head Hydraulic Structures , 1993 .

[21]  Y. Demir,et al.  Prediction of Chemical Oxygen Demand (COD) Based on Wavelet Decomposition and Neural Networks , 2007 .

[22]  Ahmet Baylar,et al.  The effect of sharp-crested weir shape on air entrainment , 2002 .

[23]  Ahmet Baylar,et al.  Aeration Performance of Triangular‐Notch Weirs , 2001 .

[24]  D A Ervine,et al.  AIR ENTRAINMENT IN HYDRAULIC STRUCTURES: A REVIEW. , 1998 .

[25]  Ozgur Kisi,et al.  River Flow Modeling Using Artificial Neural Networks , 2004 .

[26]  Amit Singhal,et al.  Computer Vision and Fuzzy-Neural Systems , 2004, J. Electronic Imaging.

[27]  Ahmet Baylar,et al.  Aeration Performance of Triangular Notch Weirs at Recirculating System , 2001 .

[28]  Jyh-Shing Roger Jang,et al.  ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..

[29]  Ahmet Baylar,et al.  The effect of broad-crested weir shape on air entrainment , 2003 .