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Adaptive Flood Forecasting for Small Catchment Areas

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Computer Aided Systems Theory – EUROCAST 2015 (EUROCAST 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9520))

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Abstract

In this paper a prototypical flood forecasting system for small catchment areas is presented. Due to the fact that flood forecasting models for small rivers normally not exist we developed an approach by combining a Continuous Situation Awareness (CSA) component with a workflow component. The CSA component permanently monitors sensor data and detects warnings which are presented to a decision maker. If the decision maker approves a warning, it is reported to the workflow component. The workflow component can dynamically react to changing situations and suggests preventive actions to a further user. That user can build a workflow and send tasks via a mobile client to emergency team leaders.

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Notes

  1. 1.

    “Integrated Dynamic Decision Support System Component for Disaster Management Systems”, ERA-NET EraSME program under the Austrian grant agreement No. 836684 (FFG).

  2. 2.

    Please note that Fig. 3 is in German because of usability for the domain experts.

  3. 3.

    Please note that some content in Figs. 4 and 5 is in German because of usability for the domain experts.

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Acknowledgments

The research leading to these results has received funding from the ERA-NET EraSME program under the Austrian grant agreement No. 836684, project “INDYCO - Integrated Dynamic Decision Support System Component for Disaster Management Systems” and has been supported by the COMET program of the Austrian Research Promotion Agency (FFG).

Author information

Authors and Affiliations

  1. Data Analysis Systems, Software Competence Center Hagenberg, Softwarepark 21, 4232, Hagenberg, Austria

    Bernhard Freudenthaler & Reinhard Stumptner

Authors
  1. Bernhard Freudenthaler
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  2. Reinhard Stumptner
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Corresponding author

Correspondence to Bernhard Freudenthaler .

Editor information

Editors and Affiliations

  1. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Roberto Moreno-Díaz

  2. Johannes Kepler University Linz, Linz, Austria

    Franz Pichler

  3. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

    Alexis Quesada-Arencibia

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Freudenthaler, B., Stumptner, R. (2015). Adaptive Flood Forecasting for Small Catchment Areas. In: Moreno-Díaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science(), vol 9520. Springer, Cham. https://doi.org/10.1007/978-3-319-27340-2_27

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  • DOI: https://doi.org/10.1007/978-3-319-27340-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27339-6

  • Online ISBN: 978-3-319-27340-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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