Multi-stage response to contaminant ingress into water distribution systems and probability quantification

Canadian Journal of Civil Engineering

Volumn 36, Issue 11, 2009, Pages 1764-1772

  Shen, Hailiang ^a   McBean, Edward A ^a   Ghazali, Mirnader ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Contaminant ingress; Contaminant source identification; Data mining; Probability; Water distribution systems

Indexed keywords

CONTAMINANT INGRESS; CONTAMINANT SOURCE IDENTIFICATION; CONTAMINANT SOURCES; EUCLIDEAN DISTANCE; LOCATION INFORMATION; MULTI-STAGE; RUNTIMES;

ALARM SYSTEMS; CONTAMINATION; LOCAL AREA NETWORKS; LOCATION; SENSORS; WATER DISTRIBUTION SYSTEMS; WATER SUPPLY;

PROBABILITY DISTRIBUTIONS;

DATA MINING; DATABASE; POLLUTANT SOURCE; POLLUTANT TRANSPORT; PROBABILITY; WATER POLLUTION;

EID: 70749108381     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/L09-100     Document Type: Article

References (10)

1. Castillo, E., Gutierrez, J., and Hadi, A. 1997. Expert systems and probabilistic models. Springer-Vrelag Press, New York.
2. De Santics, A., Shang, F., and Uber, J. 2006. Determining possible contaminant sources through flow path analysis. WDSA Symposium 2006, Cincinnati, Ohio, USA. pp. 27-29.
3. EPANET 2.0. 2000. Toolkits [online]. Available from www.epa.gov/ORD/NRMRL/wswrd/epanet.html [accessed 1 October 2008].
4. Ghazali, M., and McBean, E. 2009. Current technologies for online monitoring of drinking water in distribution system. Conceptual modeling of urban water systems. CHI Publications Monograph, 17: 381-395.
5. Huang, J., McBean, E., and James, W. 2006. Multi-objective optimization for monitoring sensor placement in water distribution systems. WDSA Symposium 2006, Cincinnati Ohio USA. pp. 27-29.
6. Huang, J., McBean, E., and Shen, H. 2008. Data mining as a tool to identify contaminant sources in water distribution system. In Proceedings of the 10th annual Water Distribution Systems Analysis conference, Kruger, South Africa. pp. 17-20.
7. Methods, H., Walski, T.M., Chase, D.V., Savic, D.A., Grayman, W., Beckwith, S., and Koelle, E. 2003. Advanced water distribution monitoring and management. 1st ed. Haestad Methods, Inc, USA.
8. Preis, A., and Ostfeld, A. 2008. Genetic algorithm for contaminant source characterization using imperfect sensors. Civil Engineering and Environmental Systems, 25(1): 29-39. doi:10.1080/10286600701695471.
9. Propato, M. 2006. Contamination warning in water networks: general mixed-integer linear models for sensor location design. Journal of Water Resource and Management, 132(4): 225-233. doi:10.1061/(ASCE)0733-9496(2006)132:4(225).
10. Shang, F., Uber, J.G., and Polycarpou, M.M. 2002. Particle back tracking algorithm for water distribution system analysis. Journal of Environmental Engineering, 128(5): 441-450. doi:10.1061/(ASCE)0733-9372(2002)128:5(441).