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A platform for research: civil engineering, architecture and urbanism
Realtime detection and mitigation of CBRN related contamination events of drinking water
The security of drinking water is increasingly recognized as a major challenge for municipalities and water utilities. The safety and or security of drinking water can be threatened by natural disasters, accidents or malevolent attacks. In the event of a contamination water spreads rapidly and hence extensively before the problem is detected. Contaminated drinking water can induce major epidemics, disrupt economic life and create mass panic. A first generation of software packages and sensors has been developed for managing drinking water safety and security and in particular for detecting incidents, such as the Guardian Blue from Hach Lange, Canary from EPA. They allow for an overall management of water security including the systematic collection and interpretation of information by online sensors. However this first generation of tools suffers from a range of serious shortcomings: (1) Real-time detection and alarm capabilities are non-existing or insufficient; (2) current limitations of propagation models make the effective situational assessment of potentially contaminated zones very difficult; (3) so far no generic approach for the online calibration of the hydraulic and transport model exists; (4) Models for response, mitigation and recovery that are almost inexistent for real world systems at present; (5) the set of available CBRN sensors, which can be used to detect contamination threats to water drinking quality, is very limited. The European FP7 project SAFEWATER (10/2013 - 12/2016) aims at developing a comprehensive event detection and event management solution for drinking water security management and mitigation against major deliberate, accidental or natural CBRN related contaminations.
Realtime detection and mitigation of CBRN related contamination events of drinking water
The security of drinking water is increasingly recognized as a major challenge for municipalities and water utilities. The safety and or security of drinking water can be threatened by natural disasters, accidents or malevolent attacks. In the event of a contamination water spreads rapidly and hence extensively before the problem is detected. Contaminated drinking water can induce major epidemics, disrupt economic life and create mass panic. A first generation of software packages and sensors has been developed for managing drinking water safety and security and in particular for detecting incidents, such as the Guardian Blue from Hach Lange, Canary from EPA. They allow for an overall management of water security including the systematic collection and interpretation of information by online sensors. However this first generation of tools suffers from a range of serious shortcomings: (1) Real-time detection and alarm capabilities are non-existing or insufficient; (2) current limitations of propagation models make the effective situational assessment of potentially contaminated zones very difficult; (3) so far no generic approach for the online calibration of the hydraulic and transport model exists; (4) Models for response, mitigation and recovery that are almost inexistent for real world systems at present; (5) the set of available CBRN sensors, which can be used to detect contamination threats to water drinking quality, is very limited. The European FP7 project SAFEWATER (10/2013 - 12/2016) aims at developing a comprehensive event detection and event management solution for drinking water security management and mitigation against major deliberate, accidental or natural CBRN related contaminations.
Realtime detection and mitigation of CBRN related contamination events of drinking water
Bernard, Thomas (author) / Moßgraber, Jürgen (author) / Madar, A.E. (author) / Rosenberg, A. (author) / Deuerlein, J. (author) / Lucas, H. (author) / Boudergui, K. (author) / Ilver, D. (author) / Brill, E. (author) / Ulitzur, N. (author)
2015-01-01
Fraunhofer IOSB
Conference paper
Electronic Resource
English
DDC:
710
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