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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-07-01
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| Series: | Drinking Water Engineering and Science |
| Online Access: | https://www.drink-water-eng-sci.net/10/53/2017/dwes-10-53-2017.pdf |
| _version_ | 1818963638462971904 |
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| author | J. Deuerlein L. Meyer-Harries N. Guth |
| author_facet | J. Deuerlein L. Meyer-Harries N. Guth |
| author_sort | J. Deuerlein |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-20T12:48:24Z |
| format | Article |
| id | doaj.art-6398d230c19940cea9275577f5ccb118 |
| institution | Directory Open Access Journal |
| issn | 1996-9457 1996-9465 |
| language | English |
| last_indexed | 2024-12-20T12:48:24Z |
| publishDate | 2017-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Drinking Water Engineering and Science |
| spelling | doaj.art-6398d230c19940cea9275577f5ccb1182022-12-21T19:40:13ZengCopernicus PublicationsDrinking Water Engineering and Science1996-94571996-94652017-07-0110535910.5194/dwes-10-53-2017Technical note: Efficient online source identification algorithm for integration within a contamination event management systemJ. Deuerlein0L. Meyer-Harries1N. Guth23S Consult GmbH, 76137 Karlsruhe, Germany3S Consult GmbH, 76137 Karlsruhe, Germany3S Consult GmbH, 76137 Karlsruhe, GermanyDrinking 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.https://www.drink-water-eng-sci.net/10/53/2017/dwes-10-53-2017.pdf |
| spellingShingle | J. Deuerlein L. Meyer-Harries N. Guth Technical note: Efficient online source identification algorithm for integration within a contamination event management system Drinking Water Engineering and Science |
| title | Technical note: Efficient online source identification algorithm for integration within a contamination event management system |
| title_full | Technical note: Efficient online source identification algorithm for integration within a contamination event management system |
| title_fullStr | Technical note: Efficient online source identification algorithm for integration within a contamination event management system |
| title_full_unstemmed | Technical note: Efficient online source identification algorithm for integration within a contamination event management system |
| title_short | Technical note: Efficient online source identification algorithm for integration within a contamination event management system |
| title_sort | technical note efficient online source identification algorithm for integration within a contamination event management system |
| url | https://www.drink-water-eng-sci.net/10/53/2017/dwes-10-53-2017.pdf |
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