Minimizing the Adverse Effects of Contaminant Propagation in Water Distribution Networks Considering the Pressure-Driven Analysis Method
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 12
Abstract
Contaminant intrusion into water distribution networks can have disastrous consequences. This event poses a threat to public health and could result in political instability and social problems. After the contaminant and its source are detected, the main issues are consequences management and contaminant withdrawal from the water distribution network. To do this, several actions are required, including containing contaminant spread by closing valves and opening hydrants to flush out the polluted water. These actions may lead the network to a critical state in which the pressure of some nodes falls below the standard measure. In these network conditions, a pressure driven analysis of the water distribution network would be necessary. In this study, a combination of hydraulic simulation based on pressure driven analysis and particle swarm optimization is used to minimize the negative effects of contaminated water on public health as an immediate response after the contaminant entrance into water is detected. Based on the type of contaminant, two different emergency response strategies are introduced. Multiobjective optimization is performed when a nonharmful contaminant has entered the network. In this case, the main objectives are to minimize the impacts of contaminated water on consumers and the cost of operations. In another response strategy, reducing the time the network requires to return to a normal state is the objective of single-objective optimization when the contaminant is harmful. The proposed model was applied on the water distribution network of Sabzevar in northeastern Iran. The results proved the model’s credibility and its applicability in real water distribution networks, even in cases of contaminant intrusion.
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References
Afshar, A., and Najafi, E. (2014). “Consequence management of chemical intrusion in water distribution networks under inexact scenarios.” J. Hydroinf., 16(1), 178–188.
Alfonso, L., Jonoski, A., and Solomatine, D. (2010). “Multiobjective optimization of operational responses for contaminant flushing in water distribution networks.” J. Water Resour. Plann. Manage., 48–58.
Baranowski, T. M., and LeBoeuf, E. J. (2006). “Consequence management optimization for contaminant detection and isolation.” J. Water Resour. Plann. Manage., 274–282.
Baranowski, T. M., and LeBoeuf, E. J. (2008). “Consequence management utilizing optimization.” J. Water Resour. Plann. Manage., 134(4), 386–394.
Bristow, E. C., and Brumbelow, K. (2006). “Delay between sensing and response in water contamination events.” J. Infrastruct. Syst., 87–95.
Burns, N. L., Cooper, C. A., Dobbins, D. A., Edwards, J. C., and Lampe, L. K. (2002). “Security analysis and response for water utilities.” Urban water supply handbook, L. W. Mayes, ed., McGraw-Hill, New York.
Coello, C. A. C., Pulido, G. T., and Lechuga, M. S. (2004). “Handling multiple objectives with particle swarm optimization.” IEEE Trans. Evol. Comput., 8(3), 256–279.
Davis, M., Janke, R., and Phillips, C. (2014). “Robustness of designs for drinking water contamination warning systems under uncertain conditions.” J. Water Resour. Plann. Manage., 04014028.
Eberhart, R. C., and Kennedy, J. (1995). “A new optimizer using particle swarm theory.” Proc., 6th Int. Symp. on Micro Machine and Human Science (Nagoya, Japan), IEEE, Piscataway, NJ, 39–43.
EPANET [Computer software]. U.S. Environmental Protection Agency, Washington, DC.
Ezzeldin, R., Djebedjian, B., and Saafan, T. (2013). “Integer discrete particle swarm optimization of water distribution networks.” J. Pipeline Syst. Eng. Pract., 04013013.
Farmani, R., Savic, D. A., and Walters, G. A. (2005). “Evolutionary multi-objective optimization in water distribution network design.” Eng. Optimiz., 37(2), 167–183.
Fawell, J., and Nieuwenhuijsen, M. J. (2003). “Contaminants in drinking water: Environmental pollution and health.” Br. Med. Bull., 68(1), 199–208.
Gupta, R., and Bhave, P. R. (1996). “Comparison of methods for predicting deficient-network performance.” J. Water Resour. Plann. Manage., 214–217.
Hart, W. E., and Murray, R. (2010). “Review of sensor placement strategies for contamination warning systems in drinking water distribution systems.” J. Water Resour. Plann. Manage., 611–619.
Haxton, T., and Uber, J. (2010). “Flushing under source uncertainties.” Proc., 12th Annual Water Distribution Systems Analysis Conf., Univ. of Arizona, Tucson, AZ.
Hu, W., and Yen, G. G. (2015). “Adaptive multiobjective particle swarm optimization based on parallel cell coordinate system.” IEEE Trans. Evol. Comput., 19(1), 1–18.
Kennedy, J., and Eberhart, R. C. (1997). “A discrete binary version of the particle swarm algorithm.” Proc., IEEE Int. Conf. on Systems, Man, and Cybernetics, Vol. 5, IEEE, Piscataway, NJ, 4104–4108.
Lee, H., Yoo, D., Kim, J., and Kang, D. (2015). “Hydraulic simulation techniques for water distribution networks to treat pressure deficient conditions.” J. Water Resour. Plann. Manage., 06015003.
Liu, S., Che, H., Smith, K., and Chang, T. (2015). “A real time method of contaminant classification using conventional water quality sensors.” J. Environ. Manage., 154, 13–21.
Maier, H. R., et al. (2014). “Evolutionary algorithms and other metaheuristics in water resources: Current status, research challenges and future directions.” Environ. Model. Softw., 62, 271–299.
Marchi, A., Dandy, G., Wilkins, A., and Rohrlach, H. (2014). “Methodology for comparing evolutionary algorithms for optimization of water distribution systems.” J. Water Resour. Plann. Manage., 22–31.
Mike NET [Computer software]. DHI, Lakewood, CO.
Oliker, N., and Ostfeld, A. (2015). “Inclusion of mobile sensors in water distribution system monitoring operations.” J. Water Resour. Plann. Manage., 04015044.
Perelman, L., and Ostfeld, A. (2012). “Extreme impact contamination events sampling for real-sized water distribution systems.” J. Water Resour. Plann. Manage., 581–585.
Poulin, A., Mailhot, A., Grondin, P., Delorme, L., Periche, N., and Villeneuve, J. P. (2008). “Heuristic approach for operational response to drinking water contamination.” J. Water Resour. Plann. Manage., 457–465.
Poulin, A., Mailhot, A., Periche, N., Delorme, L., and Villeneuve, J. P. (2010). “Planning unidirectional flushing operations as a response to drinking water distribution system contamination.” J. Water Resour. Plann. Manage., 647–657.
Preis, A., Mayochik, Y., and Ostfeld, A. (2007). “Multiobjective contaminant detection response model.” Proc., World Environmental and Water Resources Congress 2009, ASCE, Tampa, FL.
Rasekh, A., and Brumbelow, K. (2013). “Probabilistic analysis and optimization to characterize critical water distribution system contamination scenarios.” J. Water Resour. Plann. Manage., 191–199.
Rasekh, A., and Brumbelow, K. (2014). “Drinking water distribution systems contamination management to reduce public health impacts and system service interruptions.” Environ. Model. Softw., 51, 12–25.
Rathi, S., and Gupta, R. (2015). “A critical review of sensor location methods for contamination detection in water distribution networks.” Water Qual. Res. J. Can., 50(2), 95–108.
Rossman, L. A. (2007). “Discussion of ‘solution for water distribution systems under pressure-deficient conditions’ by Wah Khim Ang and Paul W. Jowitt.” J. Water Resour. Plann. Manage., 566–567.
Sayyed, M. A., Gupta, R., and Tanyimboh, T. T. (2014). “Modelling pressure deficient water distribution networks in EPANET.” Proc. Eng., 89, 626–631.
Seok Jeong, H., and Abraham, D. M. (2006). “Operational response model for physically attacked water networks using NSGA-II.” J. Comput. Civil Eng., 328–338.
Seth, A., Klise, K., Siirola, J., Haxton, T., and Laird, C. (2016). “Testing contamination source identification methods for water distribution networks.” J. Water Resour. Plann. Manage., 04016001.
Shafiee, M. E., and Berglund, E. Z. (2014). “Real-time guidance for hydrant flushing using sensor-hydrant decision trees.” J. Water Resour. Plann. Manage., 04014079.
Shirzad, A., Tabesh, M., Farmani, R., and Mohammadi, M. (2013). “Pressure-discharge relations with application to head-driven simulation of water distribution networks.” J. Water Resour. Plann. Manage., 660–670.
Tabesh, M., Shirzad, A., Arefkhani, V., and Mani, A. (2013). “A comparative study between the modified and available demand driven based models for head driven analysis of water distribution networks.” Urban Water J., 11(3), 221–230.
Tabesh, M., Tanyimboh, T. T., and Burrows, R. (2002). “Head-driven simulation of water supply networks.” Int. J. Eng. Trans. A, 15(1), 11–22.
Tanyimboh, T. T., and Templeman, A. B. (2007). “A new nodal outflow function for head-dependent modelling of water distribution networks.” Adv. Eng. Softw., in press.
Todini, E., and Pilati, S. (1988). “A gradient algorithm for the analysis of pipe networks.” Computer applications in water supply, Vol. 1, Wiley, Chichester, U.K., 1–20.
USEPA (U.S. Environmental Protection Agency). (2003). Response protocol toolbox: Planning for and responding to drinking water contamination threats and incidents, Washington, DC.
Wagner, D., Neupauer, R., and Cichowitz, C. (2015). “Adjoint-based probabilistic source characterization in water-distribution systems with transient flows and imperfect sensors.” J. Water Resour. Plann. Manage., 04015003.
Wagner, J., Shamir, U., and Marks, D. (1988). “Water distribution reliability: Simulation methods.” J. Water Resour. Plann. Manage., 276–294.
WaterGEMS [Computer software]. Bentley Systems, Exton, PA.
Yang, X., and Boccelli, D. (2014). “Bayesian approach for real-time probabilistic contamination source identification.” J. Water Resour. Plann. Manage., 04014019.
Yang, X., and Boccelli, D. (2016). “Dynamic water-quality simulation for contaminant intrusion events in distribution systems.” J. Water Resour. Plann. Manage., 04016038.
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Information
Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 12 • December 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: May 23, 2016
Accepted: Jun 1, 2017
Published online: Oct 11, 2017
Published in print: Dec 1, 2017
Discussion open until: Mar 11, 2018
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