Flood early warning system: sensors and internet

Open Access
Authors
  • A.R. Koelewijn
  • A.L. Pyayt
  • I.I. Mokhov
Publication date 2013
Host editors
  • A. Chavoshian
  • K. Takeuchi
Book title Floods: from risk to opportunity
ISBN
  • 9781907161353
Series IAHS publication, 357
Pages (from-to) 445-453
Publisher Wallingford: IAHS Press
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
The UrbanFlood early warning system (EWS) is designed to monitor data from very large
sensornetworks in flood defences such as embankments, dikes, levees, and dams. The EWS, based on the internet, uses real-time sensor information and Artificial Intelligence (AI) to immediately calculate the probability of dike failure, the ensuing scenarios of dike breaching, predicted flood spreading and escape routes for people from the affected areas. Results are presented on interactive decision support systems that assist flood defence managers and public authorities during flood events. It can also be applied for policy development and for everyday dike condition assessment. The separate Virtual Dike module can be used for advanced research into failure mechanisms and dike stability. By consulting international stakeholders the designers ensured that the EWS is well aligned with user requirements.
Document type Chapter
Language English
Published at http://iahs.info/redbooks/357.htm
Downloads
Pengel_2012_IAHS_Red_Book.pdf (Submitted manuscript)
Pengel_2013_IAHS_Red_Book_357.pdf (Accepted author manuscript)
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