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MulDiScan - Multi-dimensional collection of environmental data for estimating geo risks and as basis for a sustainable use of complex habitats.

Description of the project:
MulDiScan aims for developing innovations in sensor techniques to model resilience of natural systems of different land uses against various risks. In this way a better risk estimate will be achieved to improve measures to prevent and minimize hazards. In case of natural hazards the technological achievements of this project will be used to support the catastrophe management sector. First of all parameters that are useful to collect environmental data are selected and linked to measurable quantities. To collect the data, a development of individual components and a multi sensor system is planned. Furthermore the data is joined and referenced on a spatio-temporal basis. Models and approaches are compiled to visualize and interpret data with the help of selected examples. Hydrological, geomorphological and biological events are examined. For testing principles and methods of measurement, also laboratory experiments are conducted.

contact person: Prof. Dr. Markus Weiler
Phone: +49(0)761 203 3535
Email: markus.weiler@hydrology.uni-freiburg.de
Runtime:
Start of project: 01.05.2015
End of project: 30.04.2018
Project Management:
Albert-Ludwigs-University Freiburg
Weiler M

Actual Research Report

Contributors:
  • Hoffmann A
Financing:
  • Ministerium für Wissenschaft, Forschung und Kunst, Baden-Württemberg, Land
Keywords:
    Risikoanalyse, Naturgefahren, Sensortechnik