Summary
AMHEI aims to revolutionize multi-hazard assessment by developing AI-driven models to better understand long-term hazards scenarios associated to landslides, floods and earthquakes. While most research has focused on single hazards as standalone event or short-term impact following major earthquakes or floods, AMHEI seeks to fill a critical gap by investigating the long-term assessment of hazards and their interaction in space and time.
Our initial focus was on analyzing the effects of earthquakes, using the February 2023 Turkey-Syria earthquake as a case study. Building on this, we extended our approach to address the multi-hazard dynamics associated with storm events, selecting the May 2023 floods in Emilia Romagna as a representative example.
By integrating satellite-derived data on key environmental and climate variables with advanced machine learning techniques, AMHEI will generate novel multi-hazard maps and guidelines. These will provide actionable insights for civil protection agencies, urban planners, and policymakers, contributing to disaster risk reduction and sustainable development.
