Real-time water quality monitoring: Assessment of multisensor data using bayesian belief networks

Journal of Water Resources Planning and Management

Volumn 138, Issue 1, 2011, Pages 63-70

  Murray, Steven ^a   Ghazali, Mirnader ^b   McBean, Edward A ^b  

^a A Division of Matrix Solutions Inc   (Canada)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Bayesian belief networks; Monitoring; Real time; Water

Indexed keywords

ANALYTICAL TOOL; DATA TRANSFORMATION; DISTRIBUTION SYSTEMS; E. COLI; EVENT DETECTION; EVENT DETECTION ALGORITHM; EXPERIMENTAL SYSTEM; MOVING WINDOW; MULTI-SENSOR DATA; MULTIPLE SOURCE; NATURAL VARIATION; PARAMETER VARIATION; RAPID DETECTION; RAPID RATE; REAL TIME SENSING; REAL-TIME; REASONING UNDER UNCERTAINTY; WATER QUALITY MONITORING; WATER SECURITY;

CONTAMINATION; ESCHERICHIA COLI; MONITORING; PROBABILITY DISTRIBUTIONS; TURBIDITY; UNCERTAINTY ANALYSIS; WATER; WATER QUALITY;

BAYESIAN NETWORKS;

ALGORITHM; BAYESIAN ANALYSIS; CONDUCTIVITY; FILTRATION; PH; REAL TIME; SURROGATE METHOD; TURBIDITY; WATER QUALITY;

ESCHERICHIA COLI;

EID: 84857187823     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)WR.1943-5452.0000163     Document Type: Article

References (18)

1. Interim voluntary guidelines for designing an outline contaminant monitoring system 2004, 558. ASCE, .
2. Early warning monitoring to detect hazardous events in water supplies. Risk Sciences Institute Workshop Rep. 1999, Brosnan, T. M., ed. Int. Life Sciences Institute, Washington, DC.
3. Charniak E. Bayesian networks without tears. AI Magazine 1991, 12(4):50-63. AIMAEK.
4. Dawsey W.J. Minsker B.S. Amir E. Real time assessment of drinking water systems using dynamic Bayesian network. Proc., World Environmental and Water Resources Congress 2007, 507. and ASCE, Reston, VA.
5. Dawsey W.J. Minsker B.S. VanBlaricum V.L. Bayesian belief networks to integrate monitoring evidence of water distribution system contamination. J. Water Resour. Plann. Manage. Div. 2006, 132(4):234-241. JWRDDC, 0145-0743, 10.1061/(ASCE)0733-9496(2006)132:4(234).
6. Ghazali M. McBean E. Current technologies for on-line monitoring of drinking water distribution systems. Conceptual modeling of urban water systems 2009, 381-398. W. James, and Monograph 17, eds., CHI, Guelph, Ontario, Canada.
7. Ghazali M. McBean E. Whalen P. Journal K. Supporting drinking water contaminant warning system using the adenosine triphosphate test. Can. J. Civ. Eng. 2010, 37:1423-1431. CJCEB8, 0315-1468.
8. Hall J. On-line water quality parameters as indicators of distribution system contamination. J. Am. Water Works Assoc. 2007, 99(1):66-77. 0003-150X.
9. Hargesheimer E.E. Conio O. Popovicova J. Online monitoring for drinking water utilities 2002, 1-63. and AWWA Research Foundation and American Water Works Association, Denver.
10. Hrudey S.E. Leiss W. Risk management and precaution: Insights on the cautious use of evidence. Environ. Health Perspect. 2003, 111(13):1577. EVHPAZ, 0091-6765, 10.1289/ehp.6224.
11. Janke R. Murray R. Uber J. Taxon T. Comparison of physical sampling and real-time monitoring strategies for designing contamination warning system in drinking water distribution system. J. Water Resour. Plann. Manage. 2006, 132(4):310-313. JWRMD5, 0733-9496, 10.1061/(ASCE)0733-9496(2006)132:4(310).
12. Jensen F.V. An introduction to Bayesian networks 1996, 178. UCL.
13. Kang C.W. Golay M.W. Bayesian belief network-based advisory system for operational availability focused diagnosis of complex nuclear power systems. Expert Syst. Appl. 1999, 17(1):21-32. ESAPEH, 0957-4174, 10.1016/S0957-4174(99)00018-4.
14. McKenna S.A. Hart D. Klise K. Cruz V. Wilson M. Event detection from water quality time series. Proc., World Environmental and Water Resources Congress 2007, 518. 10.1061/40927(243)518, and ASCE, Reston, VA.
15. Ostfeld A. Salomons E. Optimal layout of early warning detection stations for water distribution systems security. J. Water Resour. Plann. Manage. 2004, 134(6):556-568.
16. Cincinnati pilot post-implementation system status. 2008, U.S. Environmental Protection Agency (USEPA), Rep. No. EPA 817-R-08-004, Washington, DC.
17. Technologies and techniques for early warning systems to monitor and evaluate drinking water quality: state-of-the-art review. 2005, U.S. Environmental Protection Agency (USEPA), Rep. No. EPA/600/R-05/156, Office of Water, Washington, DC.
18. Wagner M.M. The emerging science of very early detection of disease outbreaks. J. Public Health Manage. Practice 2001, 7(6):51.