Multi-hazard approach and cumulative / cascading impacts

Apie kvietimą

Expected Outcome: Project results are expected to contribute to some or all of the following expected outcomes: Integrated single-hazard systems into multi-hazard next generation predictive models to assess cascading effects (e.g., heatwave, floods, droughts, landslides, heavy rain) and interactions across meteorological, geophysical, and technological hazards; Enhanced hazard forecasting and response through research on model integration and platform interoperability; Development of holistic risk and resilience metrics to support multi-hazard prevention strategies, encompassing main physical, economic and social effects; Improvement of analysis models considering evolving vulnerability state, due to cascading and cumulative effects, through numerical simulations and experimental tests, possibly also supported by AI applications; Collected reliable data (same granularity and format) and ways to share and analyse it. The interoperability of all kinds of systems and information sharing is crucial, based on the need-to-know principle; Improved knowledge/experience-sharing from past emergencies to cope with future emergencies, also strengthening trans-national knowledge and data exchange among EU countries as well as from early warning to early action; Improved disaster risk and resilience management due to single/multiple threats through a holistic, systemic and cross-cutting approach, also considering relevant changes such as changing climate, digital transformation, environmental and socio-economic conditions; Development of holistic Risk and Resilience Metrics to support multi-hazard prevention strategies, encompassing main physical, economic and social effects; Solutions shall include the analysis of the physical, social and governance systems and take into account the development of an EU comprehensive risks and threats assessment. Scope: Advancing multi-hazard risk assessment and disaster resilience is a necessity. Building on the integrated all-hazard approach, the advancement will be achieved by integrating single-hazard models into next-generation predictive systems capable of analysing cascading and cumulative effects. A key focus should be on early and anticipatory action, improving the understanding of interactions between meteorological, geophysical, and technological hazards, including their compounding impacts on societies, economies, and critical infrastructure. Proposals should aim to develop and validate integrated forecasting models, that enhance the prediction and management of multi-hazard scenarios, supports flexibility and extensibility, and coordination of responses by incorporating real-time data, AI-driven analytics, and remote sensing technologies. These models should facilitate improved hazard forecasting by addressing challenges in platform interoperability and data exchange, ensuring that diverse hazard monitoring systems at local, national, and global levels can effectively communicate and operate in synergy. Efforts…