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.
“Integrated Dynamic Decision Support System Component for Disaster Management Systems”, ERA-NET EraSME program under the Austrian grant agreement No. 836684 (FFG).
- 2.
Please note that Fig. 3 is in German because of usability for the domain experts.
- 3.
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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).
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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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