Prioritizing monitoring locations in a water distribution network: A fuzzy risk approach

Journal of Water Supply: Research and Technology - AQUA

Volumn 58, Issue 7, 2009, Pages 488-509

  Francisque, Alex ^a   Rodriguez, Manuel J ^a   Sadiq, Rehan ^b   Miranda, Luis F ^c   Proulx, François ^d  

^a UNIVERSITÉ LAVAL   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

^c MCGILL UNIVERSITY   (Canada)

^d Service de l'Environnement   (Canada)

Author keywords

Distribution networks; Fuzzy risk; GIS; Monitoring; Sensitivity; Vulnerability

Indexed keywords

COMPLEX DECISION; DISTRIBUTION NETWORK; FREE RESIDUAL CHLORINE; FUZZY RISK; FUZZY RULE-BASE; FUZZY SYNTHETIC EVALUATION; INPUT FACTORS; MONITORING LOCATIONS; PIPE BREAK; QUEBEC CITY; RISK INDICES; RISK-BASED DECISIONS; SENSITIVITY FACTORS; SIMPLE APPROACH; WATER DISTRIBUTION NETWORKS;

CHLORINE; DISTRIBUTED PARAMETER NETWORKS; FUZZY SETS; GEOGRAPHIC INFORMATION SYSTEMS; LOCATION; PIPE; RISK PERCEPTION; SENSITIVITY ANALYSIS; WATER POLLUTION; WATER QUALITY; WATER SUPPLY;

WATER DISTRIBUTION SYSTEMS;

DECISION MAKING; FUZZY MATHEMATICS; GIS; HYDRAULIC CONDUCTIVITY; INDEX METHOD; MONITORING SYSTEM; POPULATION STRUCTURE; PRIORITIZATION; RISK ASSESSMENT; SENSITIVITY ANALYSIS; VULNERABILITY; WATER FLOW; WATER MANAGEMENT; WATER QUALITY;

CANADA; QUEBEC [CANADA];

EID: 77149132805     PISSN: 00037214     EISSN: None     Source Type: Journal    
DOI: 10.2166/aqua.2009.011     Document Type: Review

References (37)

1. APHA, AWWA & WEF 2005 Standards Methods for the Examination of Water and Wastewater, 21st edition. American Public Health Association/American Water Works Association/Water Environmental Federation, Washington, DC.
2. Carter, J. T., Rice, E. W., Buchberger, S. G. & Lee, Y. 2000 Relationships between levels of heterotrophic bacteria and water quality parameters in a drinking water distribution system. Water Res. 34(5), 1495-1502.
3. Chowdhury, S., Champagne, P. & Husain, T. 2007 Fuzzy risk-based decision-making approach for selection of drinking water disinfectants. J. Water Supply Res. Technol.-AQUA 56(2), 75-93.
4. Christodoulou, S., Deligianni, A., Aslani, P. & Agathokleous, A. 2009 Risk-based asset management of water piping networks using neurofuzzy systems. Comput. Environ. Urban Syst. 33, 138-149.
5. Cullen, A. C. & Frey, H. C. 1999 Probabilistic Techniques in Exposure Assessment: A Handbook for Dealing with Variability and Uncertainty in Models and Inputs. Plenum Press, New York.
6. Delisle, F. J., Pelletier, G., Simard, A. & Rodriguez, M. J. 2008 Using tracer studies and water quality analysis to improve water quality by better hydraulic management in distribution systems. In: Proceedings of the AWWA Water Quality Technology Conference and Exposition, Cincinnati, Ohio, November.
7. Francisque, A., Rodriguez, M. J., Miranda-Moreno, F. L., Sadiq, R. & Proulx, F. 2009a Modeling of heterotrophic bacteria counts in a water distribution system. Water Res. 43(4), 1075-1087.
8. Francisque, A., Rodriguez, M. J., Sadiq, R., Miranda-Moreno, L. F. & Proulx, F. 2009b Predicting heterotrophic plate count (HPC) in a distribution network using fuzzy rule-based models. J. Water Res. Plann. Manage. submitted.
9. Health Canada 2004 Guidelines for Canadian Drinking Water Quality. Government of Canada, Ottawa.
10. Khan, F. & Sadiq, R. 2005 Risk-based prioritization of air pollution monitoring using fuzzy synthetic evaluation technique. Environ. Monit. Assess. 105, 261-283.
11. Kirmeyer, G. J., Friedman, M., Martel, K. & Howie, D. 2001 Pathogen Intrusion into Distribution System. AWWARF, Denver, CO.
12. Kirmeyer, G. J., Friedman, M., Martel, K. & Sandvig, A. 2002 Guidance Manual for Monitoring Distribution System Water Quality (Project #2522). AWWARF, Denver, CO.
13. Kleiner, Y. 1998 Risk factor in water distribution systems. In: British Columbia Water and Waste Association 26th Annual Conference, Whistler, BC.
14. Kwietniewski, M. & Sudol, M. 2002 Integrated monitoring system of drinking water distribution networks-objects and tasks. Available at: http://kfki.baw.de/conferences/ICHE/2002-Warsaw/ARTICLES/PDF/234F-WS.pdf
15. Lawrence, W. W. 1976 Of Acceptable Risk. William Kaufmann, Los Altos, CA.
16. Lee, H. -M. 1996 Applying fuzzy set theory to evaluate the rate of aggregative risk in software development. Fuzzy Sets Syst. 79, 323-336.
17. Lee, B. H. & Deininger, R. A. 1992 Optimal location of monitoring stations in water distribution system. J. Environ. Eng. 118(1), 4-16.
18. Lindley, T. R. & Buchberger, S. G. 2002 Assessing intrusion susceptibility in distribution systems. J. AWWA 94(6), 66-79.
19. Lu, R. -S. & Hu, J. -Y. 1999 Analysis of reservoir water quality using fuzzy synthetic evaluation. Stoch. Environ. Res. Risk Assess. 13, 327-336.
20. MacPhee, M. J. 2005 Emerging challenges for maintaining distribution system water quality. In: MacPhee, M. J. (ed.) Distribution System Water Quality Challenges in the 21st Century: A Strategy Guide. AWWA, Denver, CO.
21. Maier, S. H. 1999 Modeling Water Quality for Water Distribution Systems. PhD Thesis, Brunel University, Uxbridge.
22. Payment, P., Waite, M. & Dufour, A. 2003 Introducing parameters for the assessment of drinking water quality. In: Dufour, A., Snozzi, M., Koster, W., Bartram, J., Ronchi, E. & Fewtre, L. (eds) Assessing Microbial Safety of Drinking Water: Improving Approaches and Methods. IWA Publishing, WHO and OECD, London, pp. 47-77.
23. Proulx, F., Rodriguez, M. J., Serodes, J. B. & Bouchard, C. 2007 A methodology for identifying vulnerable locations to taste and odour problems in a drinking water system. Water Sci. Technol. 55(5), 177-183.
24. Rodriguez, M. J., Serodes, J. & Roy, D. 2007 Formation and fate of haloacetic acids (HAAs) within the water treatment plant. Water Res. 41, 4222-4232.
25. Ross, T. J. 2004 Fuzzy Logic with Engineering Applications. John Wiley & Sons, New York.
26. Saaty, T. L. 1988 Multicriteria Decision-Making: The Analytic Hierarchy Process. University of Pittsburg, Pittsburg, PA.
27. Sadiq, R. & Rodriguez, M. J. 2004 Fuzzy synthetic evaluation of disinfectant by-product-a risk-based indexing system. J. Environ. Mnage. 73(1), 1-13.
28. Sadiq, R., Veitch, B., Husain, T. & Bose, N. 2005 Prioritizing environmental effects monitoring (EEM) programs: a riskbased strategy. In: Armsworthy, S. L., Cranford, P. J. & Lee, K. (eds) Offshore Oil and Gas Environmental Effects Monitoring: Approaches and Technologies. Battelle Press, OH, pp. 95-110.
29. Sadiq, R., Kleiner, Y. & Rajani, B. 2007 Water quality failures in distribution networks-risk analysis using fuzzy logic and evidential reasoning. Risk Anal. 27(5), 1381-1394.
30. Silvert, W. 2000 Fuzzy indices of environmental conditions. Ecol. Modell. 130(2), 111-119.
31. Statistics Canada 2001 2001 Census. Available at: http://www12.statcan.ca/english/census01/Products/Reference/dict/geo021.htm
32. Sudol, M. & Kwietniewski, M. 2005 One criterion optimization of location of water quality constant measuring points within monitoring system. In: Romaniuk, R. S. (ed.) Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments III. Proc. SPIE 5775, SPIE, Bellingham, WA, pp. 494-501.
33. Swamee, P. K. & Tyagi, A. 2000 Describing water quality with aggregate index. J. Environ. Eng. 126(5), 451-455.
34. USEPA 2000 Report to the Congress: EPA Studies on Sensitive Subpopulations and Drinking Water Contaminants. United States Environmental Protection Agency, Washington, DC. Available at: www.epa.gov/safewater
35. USEPA 2004 Drinking Water: National Primary Water Rules and Regulations; Filtration, Disinfection, Turbidity, Giardia lamblia, Viruses, Legionella and Heterotrophic Bacteria, Final Rule. 40 CRF Parts 141 and 142. United States Environmental Protection Agency, Washington, DC. Fed. Reg. 54(124), 27486-27541. Available at: www.epa.gov/safewater/contaminants/ ecoli.html/
36. WHO (World Health Organization) 1993 Guidelines for Drinking-Water Quality, Recommendations, 2nd edition. (1). World Health Organization, Geneva.
37. WHO (World Health Organization) 2004 In: Ainsworth, R. (ed.) Safe Piped Water: Managing Microbial Water Quality in Piped Distribution Systems. IWA Publishing, London.