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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5001
Title: ANFIS-based approach for the estimation of transverse mixing coefficient
Authors: Ahmad, Zulfequar
Azamathulla H.Md.
Zakaria N.A.
Published in: Water Science and Technology
Abstract: Understanding of the fate of pollutants, disposed of in streams, is a matter of concern in recent years for the effective control of pollution. Transverse mixing of the pollutants in open channels is arguably more important than the longitudinal mixing and near-field mixing. Several attempts have been made to establish the relationship between the transverse mixing coefficient and bulk channel and flow parameters such as width, depth, shear velocity, friction factor, curvature and sinuosity. This paper presents adaptive neuro fuzzy inference system (ANFIS) approach to predict the transverse mixing coefficient in open channel flows. Available laboratory and field data for the transverse mixing coefficients covering wide range of channel and flow conditions are used for the development and testing of the proposed method. The proposed ANFIS approach produces satisfactory results (R2 = 0.945) compared to the artificial neural network (ANN) model and existing predictors for mixing coefficient. ¬© IWA Publishing 2011.
Citation: Water Science and Technology(2011), 63(5): 1004-1009
URI: https://doi.org/10.2166/wst.2011.282
http://repository.iitr.ac.in/handle/123456789/5001
Issue Date: 2011
Keywords: ANFIS
ANN
Mixing
Open channel flow
Pollutant
Transverse
ISSN: 2731223
Author Scopus IDs: 7103092790
57204286018
25643674100
Author Affiliations: Ahmad, Z., Department of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee-247667 (Uttarakhand), India
Azamathulla, H.Md., River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300 Nibong Tebal, Pulau Pinang, Malaysia
Zakaria, N.A., River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300 Nibong Tebal, Pulau Pinang, Malaysia
Corresponding Author: Azamathulla, H. Md.; River Engineering and Urban Drainage Research Centre (REDAC), Universiti Sains Malaysia, Engineering Campus, Seri Ampangan, 14300 Nibong Tebal, Pulau Pinang, Malaysia; email: redacazamath@eng.usm.my
Appears in Collections:Journal Publications [CE]

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