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Wall Decay Coefficient Estimation in a Real-Life Drinking Water Distribution Network

Author

Listed:
  • Roya Peirovi Minaee

    (Shahid Sadoughi University of Medical Sciences)

  • Mehdi Mokhtari

    (Shahid Sadoughi University of Medical Sciences)

  • Alireza Moghaddam

    (Urmia University)

  • Ali Asghar Ebrahimi

    (Shahid Sadoughi University of Medical Sciences)

  • Mohsen Askarishahi

    (Shahid Sadoughi University of Medical Sciences)

  • Mojtaba Afsharnia

    (Department of Environmental Health Engineering)

Abstract

Injection of chlorine as a disinfectant and the correct prediction of the residual amount in water distribution networks are key points and important principles in the quality management of these networks. It is necessary to determine and measure some parameters to develop an effective model in this field. In this study, for the first time, the Simple Hybrid of Genetic Algorithm and Particle Swarm Optimization (SHGAPSO) method along with GA and PSO algorithms are used for qualitative calibration of a real-life water distribution network in Iran to minimize the difference between observed chlorine concentrations at measurement points and the concentrations simulated by the EPANET2.0 hydraulic-qualitative simulation model. The objective functions in this study are Mean Absolute Error (MAE) and Mean Square Error (MSE). The decision variables include bulk (kb) and wall (kw) chlorine decay coefficients are estimated by SHGAPSO, GA, and PSO methods during 4 scenarios. In this study, the amount of residual chlorine in the network was measured by a digital chlorine meter in different days of the year 2018. The results show that SHGAPSO method enhanced the performance of GA and PSO algorithms in the scenarios studied. In scenario 3, this difference was noticeable. Also, scenario 4 with the lowest values of objective functions is selected to estimate the coefficients kw and kb as the best scenario, and finally the qualitative calibration of the network.

Suggested Citation

  • Roya Peirovi Minaee & Mehdi Mokhtari & Alireza Moghaddam & Ali Asghar Ebrahimi & Mohsen Askarishahi & Mojtaba Afsharnia, 2019. "Wall Decay Coefficient Estimation in a Real-Life Drinking Water Distribution Network," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(4), pages 1557-1569, March.
    • Handle: RePEc:spr:waterr:v:33:y:2019:i:4:d:10.1007_s11269-019-02206-x
    DOI: 10.1007/s11269-019-02206-x
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    References listed on IDEAS

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    1. Helena Ramos & D. Loureiro & A. Lopes & C. Fernandes & D. Covas & L. Reis & M. Cunha, 2010. "Evaluation of Chlorine Decay in Drinking Water Systems for Different Flow Conditions: From Theory to Practice," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(4), pages 815-834, March.
    2. Gustavo Meirelles & Daniel Manzi & Bruno Brentan & Thaisa Goulart & Edevar Luvizotto, 2017. "Calibration Model for Water Distribution Network Using Pressures Estimated by Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(13), pages 4339-4351, October.
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