![]() The activities of the project will be developed considering the following main critical dimensions: trans-disciplinarity, systemic risk, coproduction, cross-fertilization, transferability, and long-term legacy. The HuT will mainly focus on the prevention and preparedness phases of the disaster risk management cycle, explicitly considering climate change scenarios and integrating the proposed set of solutions, for the various events considered, over short- (from days to several months) and long-term (from years to decades) time horizons. ![]() ![]() The events associated with climate extremes that will be considered in this project are: forest fires, including wildland urban interface fires meteorological/hydrological/agricultural droughts, including associated water shortage heatwaves weather induced landslides, including debris flows fluvial and pluvial floods storms, including heavy rain, hail, thunderstorms, and storm surges. The proposal contributes to the achievement of a more efficient and equitable cross-sectoral, cross disciplinary, cross-border coordination of the disaster risk management cycle from the international to local scales.Ī set of ten demonstrators will constitute a multi-hazard arena wherein possible disastrous events associated with climate extremes will be dealt with jointly by representatives of the scientific and technical communities, practitioners, policymakers and local communities. A set of demonstrators will constitute a virtual multi-hazard arena wherein possible disastrous events associated with climate extremes that will unequally affect different population subgroups will be dealt with jointly by representatives of scientific and technical communities, stakeholders, policymakers and local communities. The project will integrate and leverage on best practices and successful multi-disciplinary experiences aiming at establishing fair processes, that have been recently developed in various territorial contexts by leading European research groups, institutions and stakeholders. ![]()
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