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ARTIFICIAL NEURAL NETWORK FOR PREDICTION OF WATER QUALITY IN PIPELINE SYSTEMS

Kim, Ju-Hwan   (Korea Water Resources CorporationCC0186824  ); Yoon, Jae-Heung   (Korea Water Resources CorporationCC0186824  );
  • 초록

    The applicabilities and validities of two methodologies fur the prediction of THM (trihalomethane) formation in a water pipeline system were proposed and discussed. One is the multiple regression technique and the other is an artificial neural network technique. There are many factors which influence water quality, especially THMs formations in water pipeline systems. In this study, the prediction models of THM formation in water pipeline systems are developed based on the independent variables proposed by American Water Works Association(AWWA). Multiple linear/nonlinear regression models are estimated and three layer feed-forward artificial neural networks have been used to predict the THM formation in a water pipeline system. Input parameters of the models consist of organic compounds measured in water pipeline systems such as TOC, DOC and UV254. Also, the reaction time to each measuring site along pipeline is used as input parameter calculated by a hydraulic analysis. Using these variables as model parameters, four models are developed. And the predicted results from the four developed models are compared statistically to the measured THMs data set. It is shown that the artificial neural network approaches are much superior to the conventional regression approaches and that the developed models by neural network can be used more efficiently and reproduce more accurately the THMs formation in water pipeline systems, than the conventional regression methods proposed by AWWA.


  • 주제어

    pipeline system .   disinfection by-product .   THM formation .   neural network .   regression method.  

  • 참고문헌 (13)

    1. Singer, P. C., Barry, J. J. III., Palen, G.M. and Scrivner, A. E. (1981). 'Trihalomethane formation in north Carolina drinking waters.' AWWA, Aug 
    2. Wood Don J. (1981). 'Computer analysis or flow in pipe networks including extended period simulation.' User's Manual, Office of engineering, Continuing education and extension, Univ. of Kentucky, Lexington, Ky 
    3. Rossman L.A., Clark R.M., and Grayman W.M. (1994). 'Modeling chlorine residuals in drinking water distribution systems,' J. Envir Engrg., ASCE 120(4), pp. 803-829 
    4. Reckhow, D.A. Singer, P.C, and Malcom, R.L., (1990). 'Chlorination og humic materials: Byproduct formation and chemical interpretation: Envir.' Sci. & Tecunol., 24:11 
    5. Montgomery Watson, (1993). 'Mathematical modeling of the formation of THMs and HAAs ill chlorinated natural water.' Final Report, AWWA 
    6. Lisboa, P.G.J. (1992). 'Neural networks.' Chapman & hall, London, pp. 5-6 
    7. K. Urano et al. (1983). 'Empirical rate equation for trihalomethans formation with chlorination of humic substances in water,' Water Research, Vol. 12 
    8. Kim J.H, and Kang K.W. Park, C.Y. (1992). 'Nonlinear forecasting of streamflows by pattern recognition method,' Korean J. of Hydroscience, Korean Ed., Vol. 25, No. 3 
    9. Clark R.M. Smalley G., Godrich J., Tull R., Rossman L.A., Vasconcelos J.J and Boulus P.F. (1994). 'Managing water quality in distribution system : simulating TTHM and chlorine residual propagation,' J. Water SRT-AQUA 43(4), pp. 182-191 
    10. John Hertz, Andes Krogh, Richard G. Palmer, (1991). 'Introduction to the theory of neural computation.' Addison-Wesley Publishing Company 
    11. Bryant, E.A. and Fulton, G.P. and Budd, G.C. (1992). 'Disinfection alternatives for safe drinking water.' Van Nostrand Reinhold, New York 
    12. Amy G.L., Chadik Z.K. and Chowdhury Z.L. (1987). 'A developing model for predicting trihalomenthane formation potential kinetics,' J. of AWWA 79(9), 89 
    13. Computer analysis of Flow in Pipe networks including extended period simulation , Wood,Don,J. , User's Manual, Office of engineering, Continuing education and extension / v.,pp.,

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