Multiobjective Calibration of Event-Detection Systems
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 8
Abstract
CANARY, developed by the U.S. Environmental Protection Agency (USEPA), is a freeware designed for contamination events detection in water distribution systems. CANARY has several imbedded statistical methods for analyzing water quality data to detect contamination events. The imbedded methods require calibration of their parameters to achieve good performance. However, the multiobjective nature of the problem creates a conflict between high sensitivity which results in good detection but with many false alerts, and low sensitivity which results in a small number of false alarms but with poor detection. In this work, a MOGA-CANARY add-in for CANARY autocalibration is introduced. This tool could be used by CANARY users to find the optimal parameter configuration that fits their system. MOGA-CANARY gives the users the whole set of Pareto optimal system configurations based on their defined objectives. The results of MOGA-CANARY are compared with existing manual calibration methods proposed in CANARY documentation.
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Acknowledgments
This report is made possible by the support of the American people through the United States Agency for International Development (USAID). It was prepared by the Technion Research and Development Foundation for the Multi-Site Event Detection System for Water Distribution Systems Contamination research project under the Further Advancing the Blue Revolution Initiative (FABRI), USAID-DAI Contract No. AID-EPP-00-04-0023. The content of this paper is the sole responsibility of the research partners and does not necessarily reflect the views of USAID or the United States Government.
References
Arad, J., Housh, M., Perelman, L., and Ostfeld, A. (2013). “A dynamic thresholds scheme for contaminant event detection in water distribution systems.” Water Res., 47(5), 1899–1908.
CANARY version 4.3.2 [Computer software]. U.S. Environmental Protection Agency, Washington, DC.
Deb, K. (2001). Multi-objective optimization using evolutionary algorithms, Vol. 16, Wiley, Hoboken, NJ.
Hart, W. E., and Murray, R. (2010). “Review of sensor placement strategies for contamination warning systems in drinking water distribution systems.” J. Water Resour. Plann. Manage., 611–619.
Housh, M., and Ostfeld, A. (2015). “An integrated logit model for contamination event detection in water distribution systems.” Water Res., 75, 210–223.
Klise, K. A., and McKenna, S. A. (2006a). “Multivariate applications for detecting anomalous water quality.” Proc., 8th Annual Water Distribution Systems Analysis Symp., ASCE, Reston, VA.
Klise, K. A., and McKenna, S. A. (2006b). “Water quality change detection: Multivariate algorithms.” Defense and Security Symp., International Society for Optics and Photonics, Bellingham WA, 62030J–62030J.
Liu, S., Smith, K., and Che, H. (2015). “A multivariate based event detection method and performance comparison with two baseline methods.” Water Res., 80, 109–118.
MATLAB [Computer science]. MathWorks, Natick, MA.
McKenna, S. A., Klise, K. A., and Wilson, M. P. (2006). “Testing water quality change detection algorithms.” Proc., 8th Annual Water Distribution Systems Analysis Symp., ASCE, Reston, VA.
McKenna, S. A., Wilson, M., and Klise, K. A. (2008). “Detecting changes in water quality data.” Am. Water Works Assoc. J., 100(1), 74.
Oliker, N., and Ostfeld, A. (2014). “Minimum volume ellipsoid classification model for contamination event detection in water distribution systems.” J. Env. Modell. Software, 57, 1–12.
Perelman, L., Arad, J., Housh, M., and Ostfeld, A. (2012). “Event detection in water distribution systems from multivariate water quality time series.” Env. Sci. Technol., 46(15), 8212–8219.
Rosen, J. S., and Bartrand, T. (2013). “Using online water quality data to detect events in a distribution system.” J. Am. Water Works Assoc., 105(7), 22–26.
USEPA (U.S. Environmental Protection Agency). (2010). “Water quality event detection systems for drinking water contamination warning systems: Development, testing, and application of CANARY.” ⟨http://www2.epa.gov/homeland-security-research/models-tools-and-applications-homeland-security-research⟩ (Jan. 15, 2015).
USEPA (U.S. Environmental Protection Agency). (2014). “Configuring online monitoring event detection systems.” ⟨http://www2.epa.gov/homeland-security-research/models-tools-and-applications-homeland-security-research⟩ (Jan. 15, 2015).
Zhao, H., Hou, D., Huang, P., and Zhang, G. (2014). “Water quality event detection in drinking water network.” Water Air Soil Pollution, 225(11), 2183.
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Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Aug 12, 2016
Accepted: Mar 16, 2017
Published online: Jun 15, 2017
Published in print: Aug 1, 2017
Discussion open until: Nov 15, 2017
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