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Drinking Water Engineering and Science An interactive open-access journal

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doi:10.5194/dwes-2017-16
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Technical note
21 Mar 2017
Review status
A revision of this discussion paper is under review for the journal Drinking Water Engineering and Science (DWES).
Efficient Online Source Identification Algorithm for Integration within Contamination Event Management System
Jochen Deuerlein, Lea Meyer-Harries, and Nicolai Guth 3S Consult GmbH, Karlsruhe, 76137, Germany
Abstract. The automatic identification of the source of a contamination is an important component of an early warning and event management system for security enhancement of water supply networks. Whilst a number of algorithms have been published on the algorithmic development, only few information exists about the integration within a comprehensive real-time Event Detection and Management System. In the following the analytical solution and the software implementation of a real-time source identification module and its integration within a web-based Event Management System is described. The development was part of the project SAFEWATER, which was funded under FP 7 of the European Commission.

Citation: Deuerlein, J., Meyer-Harries, L., and Guth, N.: Efficient Online Source Identification Algorithm for Integration within Contamination Event Management System, Drink. Water Eng. Sci. Discuss., doi:10.5194/dwes-2017-16, in review, 2017.
Jochen Deuerlein et al.
Jochen Deuerlein et al.
Jochen Deuerlein et al.

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