| Autor: |
Antofie, Tiberiu-Eugen, Luoni, Stefano, Tilloy, Alois, Sibilia, Andrea, Salari, Sandro, Eklund, Gustav, Rodomonti, Davide, Bountzouklis, Christos, Corbane, Christina |
| Předmět: |
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| Zdroj: |
Natural Hazards & Earth System Sciences Discussions; 1/5/2024, p1-28, 28p |
| Abstrakt: |
The Disaster Risk Management Knowledge Centre (DRMKC) is hosting a web platform -- the Risk Data Hub -- intended to improve the access and sharing of curated EU-wide risk data, tools and methodologies for fostering Disaster Risk Management (DRM) related actions. Within the DRMKC's Risk Data Hub (RDH) development, we integrate a methodology for the identification of regions with multi-hazard potential impact at pan European level. With this study we present the methodological approach and we stage it as one fundamental development in support of DRM decision-making at national and subnational level. We adopt a meta-analysis approach, combining independent tests (the single hazards' exposure hotspots), which seeks to solve the problem of "insignificant results" and provides an objective "statistical proof' of the multi-hazard potential of a region. We support these results through a validation process which considers empirical data as explanatory variables. Presenting an implemented methodology, scalable down to local subnational level, that reveals types of assets at risk to multiple hazards and their location, we take one further step towards the identification of the disaster risk management pathways in multi-hazard assessment. The outcome of this study will provides valuable input and will assist national authorities on the integration of multi-hazard analysis in their National Risk Assessments and Disaster Risk Management plans. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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