| Records |
| Author |
Thomas Bernard; Mathias Braun; Olivier Piller; Denis Gilbert; Jochen Deuerlein; Andreas Korth; Reik Nitsche; Marie Maurel; Anne-Claire Sandraz; Fereshte Sedehizade; Jean-Marc Weber; Caty Werey |
| Title |
SMaRT-OnlineWDN: Online security management and reliability toolkit for water distribution networks |
Type |
Conference Article |
| Year |
2013 |
Publication |
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
ISCRAM 2013 |
| Volume |
|
Issue |
|
Pages |
171-176 |
| Keywords |
Computer simulation; Contamination; Decision support systems; Industrial management; Information systems; Runoff; Water quality; Water supply; Abnormal conditions; Online simulation; Operation and control; Sensor measurements; Source identification; Transport modeling; Water distribution networks; Water supply networks; Water distribution systems |
| Abstract |
Water distribution Networks (WDNs) are critical infrastructures that are exposed to deliberate or accidental contamination. Until now, no monitoring system is capable of protecting a WDN in real time. In the immediate future water service utilities that are installing water quantity and quality sensors in their networks will be producing a continuous and huge data stream for treating. The main objective of the project SMaRT-OnlineWDN is the development of an online security management toolkit for water distribution networks that is based on sensor measurements of water quality as well as water quantity and online simulation. Its field of application ranges from detection of deliberate contamination, including source identification and decision support for effective countermeasures, to improved operation and control of a WDN under normal and abnormal conditions. |
| Address |
Fraunhofer Institute IOSB, Germany; IRSTEA, France; 3S Consult GmbH, Germany; DVGW-Technologiezentrum Wasser, Germany; Veolia Environnement, France; Veolia Eau d'Ile de France, France; Berliner Wasserbetriebe, Germany; Communauté Urbaine de Strasbourg, Germany; Engees, France |
| Corporate Author |
|
Thesis |
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| Publisher |
Karlsruher Institut fur Technologie |
Place of Publication |
KIT; Baden-Baden |
Editor |
T. Comes, F. Fiedrich, S. Fortier, J. Geldermann and T. Müller |
| Language |
English |
Summary Language |
English |
Original Title |
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| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
2411-3387 |
ISBN |
9783923704804 |
Medium |
|
| Track |
Critical Infrastructures |
Expedition |
|
Conference |
10th International ISCRAM Conference on Information Systems for Crisis Response and Management |
| Notes |
|
Approved |
no |
| Call Number |
|
Serial |
313 |
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| Author |
Pengfei Zhou; Tao Chen; Guofeng Su; Bingxu Hou; Lida Huang |
| Title |
Research on the Forecasting and Risk Analysis Method of Snowmelt Flood |
Type |
Conference Article |
| Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
| Volume |
|
Issue |
|
Pages |
545-557 |
| Keywords |
Snowmelt Flood, Daily Snowmelt, Snow Water Runoff, Risk Analysis, Forecasting Method. |
| Abstract |
Risk analysis of snowmelt flood is an urgent demand in cold highland areas. This paper focuses on the method for the rapid and reliable forecast of daily snowmelt, snow water runoff, and snowmelt flood risk. A neural network algorithm is used to calculate snow density distribution, snow depth and snow-water equivalent with the brightness temperature data. Then, daily snowmelt is predicted using the degree-day factor method with the temperature distribution. On this basis, we use the steepest descent method and Manning formula with hydrographic information to simulate snow water runoff. We also propose a method to predict the snowmelt flood risk with the geographic feature and historical flood data. The evaluated risk is compared with monitored data in the Xinjiang Autonomous Region of China, which shows good consistency. At last, we develop a risk analysis system to generate the snowmelt flood risk map and provide risk analysis service. |
| Address |
Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Beijing Global Safety Technology Co. Ltd.; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University |
| Corporate Author |
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Thesis |
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| Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
| Language |
English |
Summary Language |
English |
Original Title |
|
| Series Editor |
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Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
|
Edition |
|
| ISSN |
978-1-949373-27-51 |
ISBN |
2411-3437 |
Medium |
|
| Track |
Planning, Foresight and Risk Analysis |
Expedition |
|
Conference |
17th International Conference on Information Systems for Crisis Response and Management |
| Notes |
zpf18@mails.tsinghua.edu.cn |
Approved |
no |
| Call Number |
|
Serial |
2252 |
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