US Environmental Protection Agency Uses Operations Research to Reduce Contamination Risks in Drinking Water

The US Environmental Protection Agency (EPA) is the lead federal agency for the security of drinking water in the United States. The agency is responsible for providing information and technical assistance to the more than 50,000 water utilities across the country. The distributed physical layout of drinking-water utilities makes them inherently vulnerable to contamination incidents caused by terrorists. To counter this threat, the EPA is using operations research to design, test, and deploy contamination warning systems (CWSs) that rapidly detect the presence of contaminants in drinking water. We developed a software tool to optimize the design process, published a decision-making process to assist utilities in applying the tool, pilot-tested the tool on nine large water utilities, and provided training and technical assistance to a larger group of utilities. We formed a collaborative team of industry, academia, and government to critique our approach and share CWS deployment experiences. Our work has demonstrated that a CWS is a cost-effective, timely, and capable method of detecting a broad range of contaminants. Widespread application of these new systems will significantly reduce the risks associated with catastrophic contamination incidents: the median estimated fatalities reduction for the nine utilities already studied is 48 percent; the corresponding economic-impact reduction is over $19 billion. Because of this operations research program, online monitoring programs, such as a CWS, are now the accepted technology for reducing contamination risks in drinking water.

[1]  Mary Lynn Garcia,et al.  The Design and Evaluation of Physical Protection Systems , 2001 .

[2]  Cynthia A. Phillips,et al.  Scheduling manual sampling for contamination detection in municipal water networks. , 2008 .

[3]  Lewis A. Rossman,et al.  The EPANET Programmer's Toolkit for Analysis of Water Distribution Systems , 1999 .

[4]  Igor Vasil'ev,et al.  Computational study of large-scale p-Median problems , 2007, Math. Program..

[5]  Kevin M. Morley,et al.  We Need to Get Strategic on Water Security , 2005 .

[6]  J. P. Davis,et al.  Costs of Illness in the 1993 Waterborne Cryptosporidium Outbreak, Milwaukee, Wisconsin , 2003, Emerging infectious diseases.

[7]  J. P. Davis,et al.  A massive outbreak in Milwaukee of cryptosporidium infection transmitted through the public water supply. , 1994, The New England journal of medicine.

[8]  Harvey J. Greenberg,et al.  Digital Object Identifier (DOI) 10.1007/s10107-005-0689-x , 2005 .

[9]  Cynthia A. Phillips,et al.  Sensor Placement in Municipal Water Networks with Temporal Integer Programming Models , 2006 .

[10]  Robert D. Carr,et al.  Scalable Water Network Sensor Placement via Aggregation , 2007 .

[11]  Carl E. C. Carlson THE DENVER SYSTEM OF WATER WORKS CONTROLS , 1971 .

[12]  Robert D. Carr,et al.  Designing Contamination Warning Systems for Municipal Water Networks Using Imperfect Sensors , 2009 .

[13]  George W. Bush Homeland Security Presidential Directive 19: Combating Terrorist Use of Explosives in the United States , 2007 .

[14]  Bhaba R. Sarker,et al.  Discrete location theory , 1991 .

[15]  Mauricio G. C. Resende,et al.  A Hybrid Heuristic for the p-Median Problem , 2004, J. Heuristics.

[16]  James G. Uber,et al.  Comparison of Physical Sampling and Real-Time Monitoring Strategies for Designing a Contamination Warning System in a Drinking Water Distribution System , 2006 .

[17]  William E. Hart,et al.  Formulation and Optimization of Robust Sensor Placement Problems for Drinking Water Contamination Warning Systems , 2009 .

[18]  Jonathan W. Berry,et al.  Low-Memory Lagrangian Relaxation Methods for Sensor Placement in Municipal Water Networks , 2008 .

[19]  Fabián A. Chudak,et al.  Near-optimal solutions to large-scale facility location problems , 2005, Discret. Optim..

[20]  Robert M. Clark,et al.  TRACKING A SALMONELLA SEROVAR TYPHIMURIUM OUTBREAK IN GIDEON, MISSOURI : ROLE OF CONTAMINANT PROPAGATION MODELLING , 1996 .

[21]  Mary Lynn Garcia,et al.  Design and Evaluation of Physical Protection Systems, Second Edition , 2007 .

[22]  Jonathan W. Berry,et al.  Sensor network design of contammination warning systems: A decision framework , 2008 .