Advancing the Austrian Armed Forces' CBRN Incident Management with Project ABC-MAUS
- Resource Type
- Conference
- Authors
- Baumann-Stanzer, Kathrin; Mitterbauer, Ulrike; Maurer, Christian; Hieden, Alexander; Lernbeiss, Harald; Jandl-Scherf, Bernhard; Crepaz, Lukas; Mohr, Peter
- Source
- 2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM) Information and Communication Technologies for Disaster Management (ICT-DM), 2021 International Conference on. :109-116 Dec, 2021
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Geoscience
Signal Processing and Analysis
Hazardous materials
Atmospheric modeling
Organizations
Disaster management
Predictive models
Information and communication technology
Joining processes
disaster management
CBRN
information system
atmospheric dispersion modelling
sensor network
geophysical techniques
- Language
- ISSN
- 2643-6868
The ability to react timely to threats – intentional or inadvertent – caused by releases of hazardous material or the fallout of nuclear detonations is a key capability of an army when engaged either in modern warfare or in joint disaster-management with civilian organizations. The availability of up-to-date data and the highest possible accuracy of hazard forecasts are key in determining the most appropriate response. This article introduces the approach and the first results of the Austrian national research project ABC-MAUS, which aims to take the CBRN incident management capabilities of the Austrian Armed Forces to the next level by linking the CBRN information system ABC-IS with sensor networks and using state-of-the-art atmospheric dispersion models for hazard prediction and locating the source of unobserved incidents.