INTELLIGENT multi-risk
Author(s): Dal Barco, M. K., Ferrario, D. M., Maraschini, M., Nguyen, N. D., Harris, R., Gottardo, S., Tosarin, E., Vascon, S., Torresan, S., and Critto, A
Organisation(s)/Authors: Ca' Foscari University of Venice; Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC)
Description:
The INTELLIGENT (InNovaTive machinE Learning methodoLogy to assess multi-rIsk dynamics under climate chanGe futurE coNdiTions) multi-risk framework focuses on evaluating the impacts of multi-risk events at the regional (sub-national) scale and predicting risk scenarios based on future climate change projections. By incorporating hazard, exposure, and vulnerability data from both historical observations and future projections, it enables: the analysis of the multi-hazard footprint across various spatio-temporal scales; the identification of key factors driving multiple risks; and the estimation of climate change's impact on risk scenarios.
Technical Considerations:
Key Words:
multi-risk; multi-risk scenarios; climate change