Drinking water distribution systems contamination management to reduce public health impacts and system service interruptions

Environmental Modelling and Software

Volumn 51, Issue , 2014, Pages 12-25

  Rasekh, Amin ^a   Brumbelow, Kelly ^a  

^a Texas A and M University   (United States)

Author keywords

Contamination; Emergency management; Evolutionary computation; Multiobjective; Pressure dependant demand analysis; Water distribution system

Indexed keywords

DECISION SUPPORT MODELS; DEMAND ANALYSIS; DRINKING WATER SYSTEMS; EMERGENCY MANAGEMENT; MULTI OBJECTIVE; PUBLIC HEALTH PROTECTION; SERVICE INTERRUPTION; SIMULATION OPTIMIZATION;

COMPUTER SIMULATION; DECISION SUPPORT SYSTEMS; EVOLUTIONARY ALGORITHMS; OPTIMIZATION; PUBLIC HEALTH; RISK MANAGEMENT; WATER DISTRIBUTION SYSTEMS; WATER SUPPLY;

CONTAMINATION;

ALGORITHM; DECISION SUPPORT SYSTEM; DEMAND-SIDE MANAGEMENT; DRINKING WATER; HEALTH IMPACT; OPTIMIZATION; PUBLIC HEALTH; SIMULATION; WATER SUPPLY;

EID: 84886027693     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2013.09.019     Document Type: Article

References (55)

1. Afshar A., Rasekh A., Afshar M.H. Risk-based optimization of large flood-diversion systems using genetic algorithms. Eng. Optim. 2009, 41(3):259-273.
2. Alfonso L., Jonoski A., Solomatine D. Multiobjective optimization of operational responses for contaminant flushing in water distribution networks. J. Water Res. Plan. Manag. 2010, 136(1):48-58.
3. Baranowski T.M., LeBoeuf E.J. Consequence management utilizing optimization. J. Water Res. Plan. Manag. 2008, 134(4):386-394.
4. Chick S.E., Koopman J.S., Soorapanth S., Brown M.E. Infection transmission system models for microbial risk assessment. Sci. Total Environ. 2001, 274(1):197-207.
5. Cities of Bryan and College Station B/CS Unified Design Guideline Manual, Water, Sewer, and Streets 2005, Bryan and College Station, Available. http://www.bcsunited.net/2005Files/DesignManual2005.pdf.
6. Davis M.J., Janke R. Importance of exposure model in estimating impacts when a water distribution system is contaminated. J. Water Res. Plan. Manag. 2008, 134(5):449-456.
7. Deb K. Multiobjective Optimization Using Evolutionary Algorithms 2001, Wiley, Chichester.
8. Deb K., Agrawal R.B. Simulated binary crossover for continuous search space. Complex Sys. 1995, 9:115-148.
9. Deb K., Pratap A., Agarwal S., Meyarivan T. Afast and elitist multi-objective genetic algorithm NSGA-II. IEEE Trans. Evol. Comput. 2002, 6(2):182-197.
10. Giustolisi O., Savic D. Identification of segments and optimal isolation valve system design in water distribution networks. Urban Water J. 2010, 7(1):1-15.
11. Giustolisi O., Walski T.M. Demand components in water distribution network analysis. J. Water Res. Plan. Manag. 2011, 138(4):356-367.
12. Gugat M. Contamination source determination in water distribution networks. SIAM J. Appl. Math. 2012, 72(6):1772-1791.
13. Hart D.B., McKenna S.A., Klise K.A., Wilson M.P., Murray R. CANARY User's Manual and Software Upgrades 2009, U.S. Environmental Protection Agency, Washington, D.C., EPA/600/R-08/040A.
14. Haxton T., Murray R., Klise K. Examining the Application of Modeling Tools to Identify Effective Flushing Locations 2012, World Environmental and Water Resources Congress, Palm Springs, CA.
15. Holland J.H. Adaptation in Natural and Artificial Systems 1975, University of Michigan Press, Ann Arbor, Mich.
16. Janke R.J., Murray R., Haxton T.M., Taxon T., Bahadur R., Samuels W., Berry J., Boman E., Hart W., Riesen L., Uber J., Morley K. Threat Ensemble Vulnerability Assessment-Sensor Placement Optimization Tool (TEVA-spot) Graphical User Interface 2009, U.S. Environmental Protection Agency, Washington, DC, EPA/600/C-08/010, 2009.
17. Jin Y., Branke J. Evolutionary optimization in uncertain environments-a survey. IEEE Trans. Evol. Comput. 2005, 9(3):303-317.
18. Johnston G., Brumbelow K. Developing Mesopolis: A 'virtual City' for Research in Water Distribution Systems and Interdependent Infrastructures 2008, https://ceprofs.tamu.edu/kbrumbelow/Mesopolis/Developing%20Mesopolis.pdf.
19. Jun L., Guoping Y. Iterative methodology of pressure-dependent demand based on EPANET for pressure-deficient water distribution analysis. J. Water Res. Plan. Manag. 2013, 139(1):34-44.
20. Kanta L., Brumbelow K. Vulnerability, risk, and mitigation assessment of water distribution systems for insufficient fire flows. J. Water Res. Plan. Manag. 2013, (in press). 10.1061/(ASCE)WR.1943-5452.0000281.
21. Kasprzyk J.R., Reed P.M., Characklis G.W., Kirsch B.R. Many-objective de Novo water supply portfolio planning under deep uncertainty. Environ. Model. Software 2012, 34:87-104.
22. Labadie J.W., Zheng F., Wan Y. Optimal integrated operation of reservoir-assisted stormwater treatment areas for estuarine habitat restoration. Environ. Model. Software 2012, 38:271-282.
23. Laucelli D., Berardi L., Giustolisi O. Assessing climate change and asset deterioration impacts on water distribution networks: demand-driven or pressure-driven network modeling?. Environ. Model. Software 2012, 37:206-216.
24. Laucelli D., Giustolisi O. Scour depth modelling by a multi-objective evolutionary paradigm. Environ. Model. Software 2011, 26(4):498-509.
25. Lindell M.K., Prater C.S., Perry R.W. Fundamentals of Emergency Management 2006, Federal Emergency Management Agency, Hyattsville, MD.
26. Liu L., Ranjithan S.R., Mahinthakumar G. Contamination source identification in water distribution systems using an adaptive dynamic optimization procedure. J. Water Res. Plan. Manag. 2011, 137(2):183-192.
27. Liu J., Yu G., Savic D. Deficient-network simulation considering pressure-dependent demand. International Conference on Pipelines and Trenchless Technology (ICPTT), Beijing, China 2011.
28. Ostfeld A., et al. The battle of the water sensor networks (BWSN): a design challenge for engineers and algorithms. J. Water Res. Plan. Manag. 2008, 134(6):556-568.
29. Perelman L., Ostfeld A. Extreme impact contamination events sampling for water distribution systems security. J. Water Res. Plan. Manag. 2010, 136(1):80-87.
30. Perelman L., Ostfeld A. Topological clustering for water distribution systems analysis. Environ. Model. Software 2011, 26(7):969-972.
31. Perry R.W., Lindell M.K. Emergency Planning 2007, John Wiley, Hoboken NJ.
32. Preis A., Ostfeld A. Contamination source identification in water systems: a hybrid model trees-linear programming scheme. J. Water Res. Plan. Manag. 2006, 132(4):263-273.
33. Preis A., Ostfeld A. Multiobjective contaminant response modelling for water distributions systems security. J.Hydroinf. 2008, 10(4):267-274.
34. Rasekh A., Afshar A., Afshar M.H. Risk-cost optimization of hydraulic structures: methodology and case study. Water Res. Manag. 2010, 24(11):2833-2851.
35. Rasekh A., Brumbelow K. Machine Learning Approach for Contamination Source Identification in Water Distribution Systems 2012, World Environmental and Water Resources Congress, Palm Springs, CA.
36. Rasekh A., Brumbelow K. Probabilistic analysis and optimization to characterize critical water distribution system contamination scenarios. J. Water Res. Plan. Manag. 2013, 139(2):191-199.
37. Reed P.M., Hadka D., Herman J.D., Kasprzyk J.R., Kollat J.B. Evolutionary multiobjective optimization in water resources: the past, present, and future. Adv. Water Res. 2013, 51:438-456.
38. Rossman L.A. EPANET 2.0, User's Manual 2000, National Risk Management Research Laboratory, U.S. EPA, Cincinnati, OH.
39. Savic D.A., Bicik J., Morley M.S. ADSS generator for multiobjective optimisation of spreadsheet-based models. Environ. Model. Software 2011, 26:551-561.
40. Shang F., Uber J.G., Rossman L. EPANET Multi-species Extension Software 2008, U.S. Environmental Protection Agency, Washington, DC, EPA/600/C-10/002.
41. Shen H., McBean E.A. Application of parallel computing in data mining for contaminant source identification in water distribution systems. Can. Water Res. J. 2013, 38(1):34-39.
42. Shirzad A., Tabesh M., Farmani R., Mohammadi M. Pressure-discharge relations with application in head driven simulation of water distribution networks. J. Water Res. Plan. Manag. 2012, (in press). 10.1061/(ASCE)WR.1943-5452.0000305.
43. Takbiri Z., Afshar A. Multi-objective optimization of fusegates system under hydrologic uncertainties. Water Res. Manag. 2012, 26(8):2323-2345.
44. Todini E., Pilati S. Agradient algorithm for the analysis of pipe networks. Computer Applications in Water Supply 1988, 1-20. Wiley: Research Studies Press. B. Coulbeck, C.-H. Orr (Eds.).
45. United States Congress Public Health Security and Bioterrorism Preparedness and Response act of 2002 2002, Public Law No. 107-188, H.R. 3448, 107th Congress, Government Printing Office, Washington, D.C.
46. United States Environmental Protection Agency (USEPA) Response Protocol Toolbox: Planning for and Responding to Drinking Water Contamination Threats and Incidents 2003, USEPA, Washington, D.C.
47. United States Environmental Protection Agency (USEPA) Estimated per capita water ingestion in the United States 2004, USEPA, Office of Water, Washington, D.C.
48. Wagner J.M., Shamir U., Marks D.H. Water distribution reliability: simulation methods. J. Water Res. Plan. Manag. 1988, 114(3):276-294.
49. White J.W. Hazards of Short-term Exposure to Arsenic-contaminated Soil 1999, Office of Environmental Health Assessment Services, Olympia, WA.
50. Wu Z.Y., Wang R.H., Walski T.M., Yang S.Y., Bowdler D., Baggett C.C. Efficient pressure dependent demand model for large water distribution system analysis. 8th Annual Water Distribution Systems Analysis Symposium, Cincinnati, Ohio 2006.
51. Yannopoulos S., Spiliotis M. Water distribution system reliability based on minimum cut-set approach and the hydraulic availability. Water Res. Manag. 2013, 27(6):1821-1836.
52. Zechman E.M., Brumbelow K., Lindell M., Mumpower J., Rasekh A., Shafiee M. Including consumer behavior and system dynamics in vulnerability analysis for water distribution system contamination events. NSF CMMI Engineering Research and Innovation Conference, Atlanta, GA 2011.
53. Zechman E.M. Agent-based modeling to simulate contamination events and evaluate threat management strategies in water distribution systems. Risk Anal. 2011, 31(5):758-772.
54. Zechman E.M., Ranjithan S. Evolutionary computation-based methods for characterizing contaminant sources in a water distribution system. J. Water Res. Plan. Manag. 2009, 135(5):334-343.
55. Zitzler E., Thiele L. Multiobjective Optimization Using Evolutionary Algorithms - a Comparative Case Study. Parallel Problem Solving from Nature-PPSN V 1998, Springer, Berlin/Heidelberg.