Citation:

MURRAY, R., T. M. HAXTON, S. McKenna, D. Hart, K. Umberg, J. HALL, Y. Lee, M. Tyree, AND D. Hartman. Case Study Application of the Canary Event Detection Software. Presented at American Water Works Association (AWWA)Water Quality Technology Conference and Exposition (WQTC) , Savannah, GA, November 14 - December 18, 2010.

Impact/Purpose:

The CANARY event detection software analyzes water quality sensor data in real-time and estimates the likelihood that a change in water quality is outside the range of normal variability and potentially caused by the presence of contamination. This paper provides an overview of the capabilities of CANARY.

Description:

symposium paper

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