American Society of Civil Engineers


Applications of Radial-Basis Function and Generalized Regression Neural Networks for Modeling of Coagulant Dosage in a Drinking Water-Treatment Plant: Comparative Study


by Salim Heddam, (corresponding author), (Assistant Professor, Faculty of Science, Agronomy Dept., Univ. 20 Août 1955, Route El Hadaik, BP 26, Skikda, Algeria. E-mail: heddamsalim@yahoo.fr), Abdelmalek Bermad, (Associate Professor, Laboratory Construction et Environnement, Polytechnical National School, 10 Ave. Hassen Badi, B. P. 16182 El Harrach, Alger, Algeria. E-mail: bermad_61@yahoo.fr), and Noureddine Dechemi, (Professor, Laboratoire Construction et Environnement, Polytechnical National School, 10 Ave. Hassen Badi, B. P. 16182 El Harrach, Alger, Algeria. E-mail: ndechemi@yahoo.fr)

Journal of Environmental Engineering, Vol. 137, No. 12, December 2011, pp. 1209-1214, (doi:  http://dx.doi.org/10.1061/(ASCE)EE.1943-7870.0000435)

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Document type: Technical Note
Abstract: The coagulation process, which involves many complex physical and chemical phenomena, is one of the most important stages in water-treatment plants. The coagulant dosage rate is nonlinearly correlated to raw water characteristics such as turbidity, conductivity, and pH. The coagulation reaction is hard or even impossible to control satisfactorily by conventional methods. The coagulant dosage has typically been determined through the jar test, which requires a long experiment time in a field-water-treatment plant. Modeling can be used to overcome these limitations. In this study, a model for the approximation of coagulant dosage rates in water-treatment plants in Algeria has been developed using artificial neural network (ANN) techniques. Two different ANN techniques, the generalized regression neural network (GRNN) and the radial-basis function neural network (RBFNN), were tested for this purpose. The trained GRNN model outperforms the corresponding RBFNN model.


ASCE Subject Headings:
Neural networks
Coagulation
Drinking water
Water treatment
Comparative studies

Author Keywords:
Generalized regression neural network
Radial-basis function neural networks
Coagulant dosage
Modeling