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

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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.

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References

  • Al-Jasser A (2007) Chlorine decay in drinking-water transmission and distribution systems: pipe service age effect. Water Res 41:387–396

    Article  Google Scholar 

  • Ammar TA, Abid KY, El-Bindary AA, El-Sonbati AZ (2014) Chlorine dioxide bulk decay prediction in desalinated drinking water. Desalination 352:45–51. https://doi.org/10.1016/j.desal.2014.08.010

    Article  Google Scholar 

  • Babu KJ, Vijayalakshmi D (2012) Self-adaptive PSO-GA hybrid model for combinatorial water distribution network design. J Pipeline Syst Eng Pract 4:57–67

    Article  Google Scholar 

  • Behzadian K, Alimohammadnejad M, Ardeshir A, Jalilsani F, Vasheghani H (2012) A novel approach for water quality management in water distribution systems by multi-objective booster chlorination. Int J Civ Eng 10:51–60

    Google Scholar 

  • Dini M, Tabesh M (2015) Chlorine wall decay estimation for water distribution networks under measurements uncertainties. IJICIC 9:634

    Google Scholar 

  • Dini M, Tabesh M (2017) Water distribution network quality model calibration: a case study–Ahar. Water Sci Technol Water Supply 17:759–770

    Article  Google Scholar 

  • Esmin AA, Matwin S (2013) HPSOM: a hybrid particle swarm optimization algorithm with genetic mutation. IJICIC 9:1919–1934

    Google Scholar 

  • Fisher I, Kastl G, Sathasivan A (2011a) Evaluation of suitable chlorine bulk-decay models for water distribution systems. Water Res 45:4896–4908

    Article  Google Scholar 

  • Fisher I, Kastl G, Sathasivan A (2017a) A comprehensive bulk chlorine decay model for simulating residuals in water distribution systems. Urban Water J 14:361–368

    Article  Google Scholar 

  • Fisher I, Kastl G, Sathasivan A (2017b) New model of chlorine-wall reaction for simulating chlorine concentration in drinking water distribution systems. Water Res 125:427–437

    Article  Google Scholar 

  • Fisher I, Kastl G, Sathasivan A, Jegatheesan V (2011b) Suitability of chlorine bulk decay models for planning and management of water distribution systems. Crit Rev Environ Sci Technol 41:1843–1882

    Article  Google Scholar 

  • GáLvez A, Iglesias A (2013) A new iterative mutually coupled hybrid GA–PSO approach for curve fitting in manufacturing. Appl Soft Comput 13:1491–1504

    Article  Google Scholar 

  • Goyal RV, Patel H (2015) Analysis of residual chlorine in simple drinking water distribution system with intermittent water supply. Appl Water Sci 5:311–319

    Article  Google Scholar 

  • Karadirek I, Kara S, Muhammetoglu A, Muhammetoglu H, Soyupak S (2016) Management of chlorine dosing rates in urban water distribution networks using online continuous monitoring and modeling. Urban Water J 13:345–359

    Article  Google Scholar 

  • Karamouz M, Zanjani S, Zahmatkesh Z (2017) Vulnerability assessment of drinking water distribution networks to chemical and biological contaminations: case study. J Water Resour Plan Manag 143:06017003

    Article  Google Scholar 

  • Liu MJ (2013) Wall decay coefficient of combined chlorine in a drinking water distribution system. University of Alberta, Canada

    Google Scholar 

  • Marais SS, Ncube EJ, Msagati TAM, Mamba BB, Nkambule TTI (2019) Assessment of trihalomethane (THM) precursors using specific ultraviolet absorbance (SUVA) and molecular size distribution (MSD). J Water Process Eng 27:143–151. https://doi.org/10.1016/j.jwpe.2018.11.019

    Article  Google Scholar 

  • Meirelles G, Manzi D, Brentan B, Goulart T, Luvizotto E (2017) Calibration model for water distribution network using pressures estimated by artificial neural networks. Water Resour Manag 31:4339–4351

    Article  Google Scholar 

  • Moghaddam A, Alizadeh A, Faridhosseini A, Ziaei AN, Heravi DF (2018) Optimal design of water distribution networks using simple modifed particle swarm optimization approach. Desalin Water Treat 104:99–110

    Article  Google Scholar 

  • Moghaddam A, Montaseri M, Rezaei H (2016) The application of GA, SMPSO and HGAPSO in optimal reservoirs operation. Journal of Water and Soil 30:1102–1113

    Google Scholar 

  • Nejjari F, Puig V, Pérez R, Quevedo J, Cugueró M, Sanz G, Mirats J (2014) Chlorine decay model calibration and comparison: application to a real water network. Procedia Eng 70:1221–1230

    Article  Google Scholar 

  • Neupauer RM (2010) Adjoint sensitivity analysis of contaminant concentrations in water distribution systems. J Eng Mech 137:31–39

    Article  Google Scholar 

  • Ozdemir ON, Buyruk T (2018) Effect of travel time and temperature on chlorine bulk decay in water supply pipes. J Environ Eng 144:04018002

    Article  Google Scholar 

  • Premalatha K, Natarajan A (2009) Hybrid PSO and GA for global maximization. IJOPCM 2:597–608

    Google Scholar 

  • Ramos HM, Loureiro D, Lopes A, Fernandes C, Covas D, Reis L, Cunha M (2010) Evaluation of chlorine decay in drinking water systems for different flow conditions: from theory to practice. Water Resour Manag 24:815–834

    Article  Google Scholar 

  • Rossman LA (2000) EPANET 2: users manual US Environmental Protection Agency Office of Research and Development National Risk Management Research Laboratory

  • Rouholamini M, Wang C, Miller CJ, Mohammadian M (2018) A review of water/energy co-management opportunities. In: 2018 IEEE Power & Energy Society General Meeting (PESGM). IEEE, pp 1–5

  • Sharif MN, Farahat A, Haider H, Al-Zahrani MA, Rodriguez MJ, Sadiq R (2017) Risk-based framework for optimizing residual chlorine in large water distribution systems. Environ Monit Assess 189:307

    Article  Google Scholar 

  • Sunela MI, Puust R (2015) Real time water supply system hydraulic and quality modeling – a case study. Procedia Eng 119:744–752. https://doi.org/10.1016/j.proeng.2015.08.928

    Article  Google Scholar 

  • Thangaraj R, Pant M, Abraham A, Bouvry P (2011) Particle swarm optimization: hybridization perspectives and experimental illustrations. Appl Math Comput 217:5208–5226

    Google Scholar 

  • Wang Y, Zhu G, Engel B (2019) Health risk assessment of trihalomethanes in water treatment plants in Jiangsu Province, China. Ecotoxicol Environ Saf 170:346–354. https://doi.org/10.1016/j.ecoenv.2018.12.004

    Article  Google Scholar 

  • Xie X, Zeng B, Nachabe M (2015) Sampling design for water distribution network chlorine decay calibration. Urban Water J 12:190–199

    Article  Google Scholar 

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Authors and Affiliations

  1. Environmental Science and Technology Research Center, Department of Environmental Health Engineering, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Roya Peirovi Minaee, Mehdi Mokhtari & Ali Asghar Ebrahimi

  2. Water Resources Engineering, Urmia University, Urmia, Iran

    Alireza Moghaddam

  3. Department of Biostatistics, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Mohsen Askarishahi

  4. Department of Environmental Health Engineering, Gonabad, Iran

    Mojtaba Afsharnia

Authors
  1. Roya Peirovi Minaee
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  2. Mehdi Mokhtari
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  3. Alireza Moghaddam
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  4. Ali Asghar Ebrahimi
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  5. Mohsen Askarishahi
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  6. Mojtaba Afsharnia
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Correspondence to Mojtaba Afsharnia.

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Minaee, R.P., Mokhtari, M., Moghaddam, A. et al. Wall Decay Coefficient Estimation in a Real-Life Drinking Water Distribution Network. Water Resour Manage 33, 1557–1569 (2019). https://doi.org/10.1007/s11269-019-02206-x

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  • DOI: https://doi.org/10.1007/s11269-019-02206-x

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