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SAFEWATER – Innovative Tools for the Detection and Mitigation of CBRN Related Contamination Events of Drinking Water
- Source :
- Procedia Engineering, Procedia Engineering, 2015, 119, pp.352-359. ⟨10.1016/j.proeng.2015.08.895⟩, Procedia Engineering, Elsevier, 2015, 119, pp.352-359. ⟨10.1016/j.proeng.2015.08.895⟩
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; The safety and/or security of drinking water can be threatened by natural disasters, accidents or malevolent attacks. The European FP7 project SAFEWATER 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. New cost-effective C, B, and RN sensors will be developed. An innovative concept with a broad network of low-cost sensors-"domestic sensors" (complementary to a set of sensors in strategic locations) will be developed. A technology platform will be provide which is able to capture and analyze the data collected by the sensors and from other information systems and give a full overview of the crisis to the responders by means of online look-ahead simulations to efficiently manage potential crises. For testing the SAFEWATER solution it will be integrated with on utility-partners' information systems.
- Subjects :
- Engineering
business.industry
Event (computing)
General Medicine
Drinking water networks
CWRN sensors
CBRN contamination
[PHYS.NEXP]Physics [physics]/Nuclear Experiment [nucl-ex]
Computer security
computer.software_genre
event management
online simulation
6. Clean water
real-time detection
Event management
Water security
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
13. Climate action
Information system
[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det]
Natural disaster
business
computer
Engineering(all)
[PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an]
Subjects
Details
- Language :
- English
- ISSN :
- 18777058
- Database :
- OpenAIRE
- Journal :
- Procedia Engineering, Procedia Engineering, 2015, 119, pp.352-359. ⟨10.1016/j.proeng.2015.08.895⟩, Procedia Engineering, Elsevier, 2015, 119, pp.352-359. ⟨10.1016/j.proeng.2015.08.895⟩
- Accession number :
- edsair.doi.dedup.....fc7573c96d9c99b5a7f29818aabceaa8
- Full Text :
- https://doi.org/10.1016/j.proeng.2015.08.895⟩