Prototype use of artificial intelligence for area-wide flood risk monitoring - Subarea flood monitoring (Phase 2)
Abstract
The study as part of the ‘Digital Transformation in the BMLRT’ is intended to drive forward the future digitalisation, networking and automation of Austria-wide flood risk management. In the first phase, modern geodata and AI technologies were analysed and integrated into an overall model for area-wide monitoring. An AI-based prototype for flood forecasting was developed and successfully tested, improving accuracy compared to existing models. Applications for event analysis and documentation were also developed. Phase 2 aims to extend the AI modelling system to predict exceedance probabilities and hazard indices for entire watercourse sections. This will be implemented and tested using a selected catchment area such as the Mur. It is also being investigated which updated data sets are required for the continuous operation of the modelling system and how these can be provided. The ‘deliverables’ will be a description of the methods developed and an analysis of the necessary data updates and data streams in a report.
Project staff
Karsten Schulz
Univ.Prof. Dipl.Geoökol.Dr.rer.nat Karsten Schulz
karsten.schulz@boku.ac.at
Tel: +43 1 47654-81699
Project Leader
03.03.2025 - 02.03.2026
Ursula Laa
Ass.Prof. Dr. Ursula Laa
ursula.laa@boku.ac.at
Tel: +43 1 47654-85112
Sub Projectleader
03.03.2025 - 02.03.2026
Oliver Konold
Dipl.-Ing. Oliver Konold
oliver.konold@boku.ac.at
Tel: +43 1 47654-81611
Project Staff
03.03.2025 - 02.03.2026