Booster Disinfection for Response to Contamination in a Drinking Water Distribution System
Publication: Journal of Water Resources Planning and Management
Volume 135, Issue 6
Abstract
Booster disinfection has been shown to be an effective means of maintaining more stable chlorine residuals in a water distribution system. It has been suggested that booster disinfection could also be a viable means of protecting a population against contamination. We simulated random contamination events in a model water distribution system with an optimized sensor network. A disinfection boost was simulated to begin the instant the contamination reached a sensor, and a range of decay coefficients were applied to the contaminant to simulate reaction with the disinfectant. Cumulative distribution curves of the volume of consumed contaminated water for various response levels were prepared to analyze how each response affected the vulnerability of the system. This analysis illustrated that a boost-response system could be effective in significantly reducing the volume of consumed contaminated water, but only in very specific circumstances. Most importantly, the booster must be located at a node with high reachability. Further, if the disinfectant cannot rapidly inactivate the contaminant, the effectiveness of a boost-response system is much reduced.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The writers thank Dominic Boccelli and Feng Sheng for their assistance with the EPANET simulations and Jim Uber for the use of the water distribution systems. This work has been funded by the National Science Foundation Sensors Program under Grant No. UNSPECIFIEDBES-0329549.
References
Berry, J. W., Fleischer, L., Hart, W. E., Phillips, C. A., and Watson, J. P. (2005). “Sensor placement in municipal water networks.” J. Water Resour. Plann. Manage., 131(3), 237–243.
Boccelli, D. L., Tryby, M. E., Uber, J. G., Rossman, L. A., Zierolf, M. L., and Polycarpou, M. M. (1998). “Optimal scheduling of booster disinfection in water distribution systems.” J. Water Resour. Plann. Manage., 124(2), 99–111.
Hallam, N. B., West, J. R., Forster, C. F., Powell, J. C., and Spencer, I. (2002). “The decay of chlorine associated with the pipe wall in water distribution systems.” Water Res., 36(14), 3479–3488.
Helbling, D. E., and VanBriesen, J. M. (2007). “Free chlorine demand and cell survival of microbial suspensions.” Water Res., 41(19), 4424–4434.
Isovitsch, S. L., and VanBriesen, J. M. (2008). “Sensor placement and optimization criteria dependencies in a water distribution system.” J. Water Resour. Plann. Manage., 134(2), 186–196.
Janke, R., Murray, R., Uber, J., and Taxon, T. (2006). “Comparison of physical sampling and real-time monitoring strategies for designing a contamination warning system in a drinking water distribution system.” J. Water Resour. Plann. Manage., 132(4), 310–313.
Kessler, A., Ostfeld, A., and Sinai, G. (1998). “Detecting accidental contaminations in municipal water networks.” J. Water Resour. Plann. Manage., 124(4), 192–198.
Krause, A., et al. (2006). “Optimizing sensor placements in water distribution systems using submodular function maximization.” Proc., 8th Annual Water Distribution System Analysis Symp., Univ. of Cincinnati, Cincinnati.
Krause, A., Leskovec, J., Guestrin, C., VanBriesen, J., and Faloutsos, C. (2008). “Efficient sensor placement optimization for securing large water distribution networks.” J. Water Resour. Plann. Manage, 134(6), 516–526.
LeChevallier, M. W., Gullick, R. W., Karim, M. R., Friedman, M., and Funk, J. E. (2003). “The potential for health risks from intrusion of contaminants into the distribution system from pressure transients.” J. Water Health, 1(1), 3–14.
Microsoft Corporation. (2003). Microsoft Office Access 2003, Microsoft Corporation, Redmond, Wash., 85.
Microsoft Corporation. (2005a). Microsoft SQL server management studio express, Microsoft Corporation, Redmond, Wash.
Microsoft Corporation. (2005b). Microsoft visual C++ 2005 express edition, Microsoft Corporation, Redmond, Wash.
MINITAB Release 15. (2006). Minitab Inc., State College, Pa.
Munavalli, G. R., and Kumar, M. S. M. (2003). “Optimal scheduling of multiple chlorine sources in water distribution systems.” J. Water Resour. Plann. Manage, 129(6), 493–504.
Murray, R., Uber, J., and Janke, R. (2006). “Model for estimating acute health impacts from consumption of contaminated drinking water.” J. Water Resour. Plann. Manage, 132(4), 293–299.
Navidi, W. (2006). Statistics for engineers and scientists, McGraw-Hill, New York.
Ostfeld, A., et al. (2008). “The battle of the water sensor networks (BWSN): a design challenge for engineers and algorithms.” J. Water Resour. Plann. Manage, 134(6), 556–558.
Ostfeld, A., and Salomons, E. (2006). “Conjunctive optimal scheduling of pumping and booster chlorine injections in water distribution systems.” Eng. Optimiz., 38(3), 337–352.
Ostfeld, A., Uber, J., and Salomons, E. (2006). “Battle of the water sensor networks (BWSN): a design challenge for engineers and algorithms.” Proc., 8th Annual Water Distribution System Analysis Symp., Univ. of Cincinnati, Cincinnati, Ohio.
Powell, J. C., Hallam, N. B., West, J. R., Forster, C. F., and Simms, J. (2000). “Factors which control bulk chlorine decay rates.” Water Res., 34(1), 117–126.
Prasad, T. D., Walters, G. A., and Savic, D. A. (2004). “Booster disinfection of water supply networks: Multiobjective approach.” J. Water Resour. Plann. Manage, 130(5), 367–376.
Propato, M., and Uber, J. G. (2004a). “Linear least-squares formulation for operation of booster disinfection systems.” J. Water Resour. Plann. Manage, 130(1), 53–62.
Propato, M., and Uber, J. G. (2004b). “Booster system design using mixed-integer quadratic programming.” J. Water Resour. Plann. Manage, 130(4), 348–352.
Propato, M., and Uber, J. G. (2004c). “Vulnerability of water distribution systems to pathogen intrusion: How effective is a disinfectant residual?” Environ. Sci. Technol., 38(13), 3713–3722.
Rossman, L. A. (2000). EPANET 2 user's manual, USEPA, Cincinnati.
Shang, F., Propato, M., and Uber, J. (2002). “Extension of EPANET for multi species modeling in water distribution system.” Proc., Environmental and Water Resources Institute Conf., ASCE, Reston, Va.
Shang, F., Uber, J., and Rossman, L. A. (2008). EPANET multi-species extension user's manual, Rep. No. EPA/600/S-07/021, USEPA, Cincinnati.
Tryby, M. E., Boccelli, D. L., Koechling, M. T., Uber, J. G., Summers, R. S., and Rossman, L. A. (1999). “Booster chlorination for managing disinfectant residuals.” J. Am. Water Works Assoc., 91(1), 95–108.
Tryby, M. E., Boccelli, D. L., Uber, J. G., and Rossman, L. A. (2002). “Facility location model for booster disinfection of water supply networks.” J. Water Resour. Plann. Manage, 128(5), 322–333.
United States Environmental Protection Agency (USEPA). (2002). EPANET, U.S. EPA, Cincinnati.
United States Environmental Protection Agency (USEPA). (2005). “WaterSentinel system architecture.” Rep. No. EPA 817-D-05-003, Water Security Division, Washington, DC.
United States Environmental Protection Agency (USEPA). (2006). Technical brief—EPANET extended to include multi-species modeling, Water Security Division, Washington, DC.
United States Environmental Protection Agency (USEPA). (2007) “Stage 1 disinfectants and disinfection byproducts rule.” ⟨www.epa.gov/ogwdw/mdbp/dbp1.html⟩ (Jan. 29, 2007).
Walski, T. M., Chase, D. V., Savic, D. A., Grayman, W., Beckwith, S., and Koelle, E. (2003). Advanced water distribution modeling and management, Haestad Methods, Inc., Waterbury, Conn.
Watson, J. -P., Greenberg, H. J., and Hart, W. E. (2004). “A multiple-objective analysis of sensor placement optimization in water networks.” Proc., World Water and Environment Resources Conf., ASCE, Reston, Va.
Information & Authors
Information
Published In
Copyright
© 2009 ASCE.
History
Received: Dec 20, 2007
Accepted: Feb 18, 2009
Published online: Oct 15, 2009
Published in print: Nov 2009
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.