Contamination event detection using multi-level thresholds

Procedia Engineering

Volumn 119, Issue 1, 2015, Pages 1429-1438

  Eliades, Demetrios G ^a   Stavrou, Demetris ^a   Vrachimis, Stelios G ^a   Panayiotou, Christos G ^a   Polycarpou, Marios M ^a  

^a UNIVERSITY OF CYPRUS   (Cyprus)

Author keywords

Fault diagnosis; Multi level threshold; Water contamination detection

Indexed keywords

CHLORINE; CLIMATE CHANGE; CONTAMINATION; FAILURE ANALYSIS; FAULT DETECTION; WATER POLLUTION; WATER QUALITY;

CHLORINE RESIDUALS; CONTAMINATION EVENTS; EVENT DETECTION ALGORITHM; LOWER BOUND ESTIMATION; MODEL-BASED METHOD; MULTILEVELS; WATER CONTAMINATION; WATER QUALITY PARAMETERS;

POLLUTION DETECTION;

EID: 84941063746     PISSN: None     EISSN: 18777058     Source Type: Conference Proceeding    
DOI: 10.1016/j.proeng.2015.08.1003     Document Type: Conference Paper

References (24)

1. D. Eliades, T. Lambrou, C. Panayiotou, M. Polycarpou, Contamination event detection in water distribution systems using a model-based approach, in: Proc. 16th Water Distribution System Analysis Conference, volume 89, 2014, pp. 1089 - 1096.
2. W. J. Cooper, Responding to crisis: The west virginia chemical spill, Environmental Science & Technology 48 (2014) 3095-3095.
3. A. Ostfeld, J. G. Uber, E. Salomons, J. W. Berry, W. E. Hart, C. A. Phillips, J.-P. Watson, G. Dorini, P. Jonkergouw, Z. Kapelan, F. di Pierro, S.-T. Khu, D. Savic, D. Eliades, M. Polycarpou, S. R. Ghimire, B. D. Barkdoll, R. Gueli, J. J. Huang, E. A. McBean, W. James, A. Krause, J. Leskovec, S. Isovitsch, J. Xu, C. Guestrin, J. VanBriesen, M. Small, P. Fischbeck, A. Preis, M. Propato, O. Piller, G. B. Trachtman, Z. Y. Wu, T. Walski, The battle of the water sensor networks (BWSN): A design challenge for engineers and algorithms, ASCE Journal of Water Resources Planning and Management 134 (2008) 556-568.
4. D. Eliades, M. Polycarpou, A fault diagnosis and security framework for water systems, IEEE Transactions on Control Systems Technology 18 (2010) 1254-1265.
5. D. Byer, K. Carlson, Expanded summary: Real-time detection of intentional chemical contamination in the distribution system, Journal American Water Works Association (2005) 130-133.
6. D. Kroll, K. King, Laboratory and flow loop validation and testing of the operational effectiveness of an on-line security platform for the water distribution system, in: Proc. Water Distribution Systems Analysis Symposium, 2006, p. 16.
7. D. Hart, S. McKenna, CANARY User's Manual, 4.1 ed., National Security Applications Dept., Sandia National Laboratories, Albuquerque, NM 87185-0735, 2009.
8. R. Murray, T. Haxton, R. Janke, W. E. Hart, J. Berry, C. Phillips, Water quality event detection systems for drinking water contamination warning systems - development, testing, and application of CANARY, Technical Report, U.S. EPA, 2010. EPA/600/R-10/036.
9. S. Murray, M. Ghazali, E. A. McBean, Real-time water quality monitoring: Assessment of multisensor data using bayesian belief networks, Journal of Water Resources Planning and Management 138 (2011) 63-70.
10. L. Perelman, J. Arad, M. Housh, A. Ostfeld, Event detection in water distribution systems from multivariate water quality time series, Environmental Science & Technology 46 (2012) 8212-8219.
11. J. Arad, M. Housh, L. Perelman, A. Ostfeld, A dynamic thresholds scheme for contaminant event detection in water distribution systems, Water Research 47 (2013) 1899-1908.
12. J. Hall, A. Zaffiro, R. Marx, P. Kefauver, R. Krishman, R. Haught, J. Herrmann, On-line water quality parameters as indicators of distribution system, Journal of the American Water Works Association 99 (2007) 66-77.
13. P. M. R. Jonkergouw, S. T. Khu, D. Savic, Chlorine: A possible indicator of intentional chemical and biological contamination in a water distribution network?, in: Proc. IWA Conf. on Automation in Water Quality Monitoring, 2004.
14. F. Hua, J. West, R. Barker, C. Forster, Modelling of chlorine decay in municipal water supplies, Water Research 33 (1999) 2735-2746.
15. K. A. Umberg, Performance Evaluation of Real-time Event Detection Algorithms, Master's thesis, University of Cincinnati, 2006.
16. D. E. Helbling, J. M. VanBriesen, Modeling residual chlorine response to a microbial contamination event in drinking water distribution systems, Journal of Environmental Engineering 135 (2009) 918-927.
17. F. Shang, J. G. Uber, L. A. Rossman, EPANET Multi-Species Extension User's Manual, National Risk Management Research Laboratory, Office of Research and Development, U.S. Enviromental Protection Agency, Cincinnati, OH 45268, 2008. EPA/600/S-07/021.
18. Y. Jeffrey Yang, R. C. Haught, J. A. Goodrich, Real-time contaminant detection and classification in a drinking water pipe using conventional water quality sensors: Techniques and experimental results, Journal of environmental management 90 (2009) 2494-2506.
19. M. Pasha, K. Lansey, Effect of parameter uncertainty on water quality predictions in distribution systems-case study, Journal of Hydroinformatics 12 (2010) 1-21.
20. R. Langowski, M. Brdys, Monitoring of chlorine concentration in drinking water distribution systems using an interval estimator, International Journal of Applied Mathematics and Computer Science 17 (2007) 199-216.
21. D. G. Eliades, M. M. Polycarpou, Contaminant detection in urban water distribution networks using chlorine measurements, in: B. Hmmerli, N. Kalstad Svendsen, J. Lopez (Eds.), Critical Information Infrastructures Security, volume 7722 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, 2013, pp. 203-214.
22. L. A. Rossman, EPANET 2 Users manual, National Risk Management Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency, Cincinnati, OH, 2000.
23. L. A. Rossman, P. F. Boulos, Numerical methods for modeling water quality in distribution systems: A comparison, ASCE Journal of Water Resources Planning and Management 122 (1996) 137-146.
24. L. A. Rossman, P. F. Boulos, T. Altman, Discrete volume-element method for network water-quality models, ASCE Journal ofWater Resources Planning and Management 119 (1993) 505-517.