Modelling Chlorine Decay in Water Networks with Genetic Programming

  • Philip Jonkergouw
  • Ed Keedwell
  • Soon-Thiam Khu
Conference paper


The disinfection of water supplies for domestic consumption is often achieved with the use of chlorine. Aqueous chlorine reacts with many harmful micro-organisms and other aqueous constituents when added to the water supply, which causes the chlorine concentration to decay over time. Up to a certain extent, this decay can be modelled using various decay models that have been developed over the last 50+ years. Assuming an accurate prediction of the chlorine concentration over time, a measured deviation from the values provided by such a decay model could be used as an indicator of harmful (intentional) contamination. However, most current chlorine decay models have been based on assumptions that do not allow the modelling of another species, i.e. the species with which chlorine is reacting, thereby limiting their use for modelling the effect of a contaminant on chlorine. This paper investigates the use of genetic programming as a method for developing a mixed second-order chlorine decay model.


Genetic Programming Water Distribution System Chlorine Concentration Water Distribution Network Molar Number 


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6 References

  1. [1]
    Devi Prasad T, Walters GA., and Savic D (2004) "Booster disinfection in water supply networks: A multi-objective approach", Journal of Water Resources Planning and Management ASCE, vol. 130, No.5., 2004.Google Scholar
  2. [2]
    Jonkergouw PMR, Khu ST, Savic D (2004) Chlorine: An indicator of intentional chemical and biological contamination in a water distribution network? AutMoNet 2004, Proceedings of: The 2nd International IWA Conference on Automation in Water Quality Monitoring, Vienna, Austria.Google Scholar
  3. [3]
    Feben D, Taras MJ (1951) Studies on chlorine demand constants. J. Am. Water Works Assoc., (43) 11, pp. 922–932.Google Scholar
  4. [4]
    Vasconcelos JJ, Rossman LA, Grayman WM, Boulos PF, Clark RM (1997) Kinetics of chlorine decay. J. Am. Waterworks. Assoc, (89) 7, pp. 55–65.Google Scholar
  5. [5]
    Clark RM, Sivaganesan M (2002) Predicting Chlorine Residuals in Drinking Water: Second Order Model. J. Wat. Res. Plan. Man. (128) 2, pp. 151–161.Google Scholar
  6. [6]
    Boccelli DL, Tryby ME, Uber JG, Summers RS (2003) A reactive species model for chlorine decay and THM formation under rechlorination conditions. Wat. Res. (37), pp. 2654–2666.CrossRefGoogle Scholar
  7. [7]
    Powell JC, Hallam NB, West JR, Forster CF, Simms J (2000) Factors which control bulk chlorine decay rates. Wat. Res., (34) 1, pp. 117–126.CrossRefGoogle Scholar
  8. [8]
    Shang C and Blatchley ER (2001) Chlorination of pure bacterial cultures in aqueous solution. Wat. Res. (35) 1, pp. 244–254.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag/Wien 2005

Authors and Affiliations

  • Philip Jonkergouw
    • 1
  • Ed Keedwell
    • 1
  • Soon-Thiam Khu
    • 1
  1. 1.Centre for Water Systems, School of Engineering, Computer Science and MathsUniversity of ExeterExeterUK

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