NewsClimate change impacts on landslides in Alpine areas using a machine learning-based approach and detection sensors
Managing climate change impacts on landslides in Alpine areas using a machine learning-based approach and detection sensors. An update on the Rockmech group's ongoing work was presented at the 4th Macao International Conference on Smart City Technologies - Powering Resilient and Sustainable Cities: Innovations in AIOT. To manage the risk associated to destructive natural events in the Alpine areas, whose occurrence is being modified by global warming, the need arises to update susceptibility maps to include climate change effects. An example of a machine learning-based approach has been shown. Based on the identified risk, EWS, such as the new cutting-edge fibre optic-based detection system Optialp, can be successfully implemented to mitigate risk and save human lives. The work prepared by Alessandra Insana, Valerio De Biagi and Amirreza Pourfatollah was presented by Marco Barla as an invited speaker at the conference.
The three days at the University of Macao were also a great opportunity to meet the researchers and PhD students working with Prof. Wan-Huan Zhou and open new opportunities for Polito-UM collaboration.
