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A variety of natural extreme events, including earthquakes, landslides, volcanic eruptions, tsunamis, river floods, winter storms, wildfires and coastal phenomena, threaten different regions of Europe. In both their occurrence and their consequences, different hazards are often causally related. Classes of interaction include triggered events, cascade effects and the rapid increase in vulnerability during successive hazards. Effective and efficient risk reduction, therefore, often needs to rest on a location-based synoptic view. Planners and policy-makers, and the scientists who inform their judgements, usually treat the hazards and risks related to such events separately from each other, neglecting interdependencies between the different types of phenomena, as well as the importance of risk comparability. The main objective of MATRIX is to develop methods and tools to tackle multiple natural hazards within a common framework. This will allow future analysts to optimise the risk assessment process, will contribute to rationalising data management for hazards and vulnerability reduction, and will support cost-effective decisions on structural and non-structural mitigation/adaptation measures following a multi-hazard perspective.
Project information
Lead
GFZ German Research Centre for Geosciences - Prof. Dr. Jochen Zschau
Partners
Analisi e Monitoraggio del Rischio Ambientale (AMRA) Italy; Bureau de Recherches Geologiques et Minieres (BRGM) France; Norges Geotekniske Institutt (NGI) Norway; Internationales Institut für angewandte Systemanalyse (IIASA) Austria; ASPINALL William Phillip – Aspinall & Associates (ASPINALL) United Kingdom; Karlsruher Institut für Technologie (KIT) Germany; Technische Universität Delft (TU-Delft) Netherlands; Eidgenössische Technische Hochschule Zürich (ETH) Switzerland; Instituto Superior de Agronomia (ISA-CEABN) Portugal; Deutsches Komitee Katastrophenvorsorge e.V. (DKKV) Germany; University of British Colombia (UBC) Canada
Source of funding
FP 7
Reference information
Websites:
Published in Climate-ADAPT: Jun 7, 2016
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