5 May 2010 Sensor-enabled chem/bio contamination detection system dedicated to situational awareness of water distribution security status
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Abstract
Both real events and models have proven that drinking water systems are vulnerable to deliberate and/or accidental contamination. Additionally, homeland security initiatives and modeling efforts have determined that it is relatively easy to orchestrate the contamination of potable water supplies. Such contamination can be accomplished with classic and non-traditional chemical agents, toxic industrial chemicals (TICs), and/or toxic industrial materials (TIMs). Subsequent research and testing has developed a proven network for detection and response to these threats. The method uses offthe- shelf, broad-spectrum analytical instruments coupled with advanced interpretive algorithms. The system detects and characterizes any backflow events involving toxic contaminants by employing unique chemical signature (fingerprint) response data. This instrumentation has been certified by the Office of Homeland Security for detecting deliberate and/or accidental contamination of critical water infrastructure. The system involves integration of several mature technologies (sensors, SCADA, dynamic models, and the HACH HST Guardian Blue instrumentation) into a complete, real-time, management system that also can be used to address other water distribution concerns, such as corrosion. This paper summarizes the reasons and results for installing such a distribution-based detection and protection system.
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Mark D. Ginsberg, Mark D. Ginsberg, Eddy D. Smith, Eddy D. Smith, Vicki VanBlaricum, Vicki VanBlaricum, Vincent F. Hock, Vincent F. Hock, Dan Kroll, Dan Kroll, Kevin J. Russell, Kevin J. Russell, } "Sensor-enabled chem/bio contamination detection system dedicated to situational awareness of water distribution security status", Proc. SPIE 7665, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XI, 76651Q (5 May 2010); doi: 10.1117/12.848389; https://doi.org/10.1117/12.848389
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