Technical note: Efficient online source identification algorithm for integration within a contamination event management system
Drinking water distribution networks are part of critical infrastructures and are exposed to a number of different risks. One of them is the risk of unintended or deliberate contamination of the drinking water within the pipe network. Over the past decade research has focused on the development...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-07-01
|
| Series: | Drinking Water Engineering and Science |
| Online Access: | https://www.drink-water-eng-sci.net/10/53/2017/dwes-10-53-2017.pdf |
| Summary: | Drinking water distribution networks are part of critical
infrastructures and are exposed to a number of different risks. One
of them is the risk of unintended or deliberate contamination of the
drinking water within the pipe network. Over the past decade
research has focused on the development of new sensors that are able
to detect malicious substances in the network and early warning
systems for contamination. In addition to the optimal placement of
sensors, 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. Many publications deal with the algorithmic development; however,
only little 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 are described. The
development was part of the SAFEWATER project, which
was funded under FP 7 of the European Commission. |
|---|---|
| ISSN: | 1996-9457 1996-9465 |