Abstract
Heavy rainfall events can lead to devastating landslides, but predicting when rainfall will cause a landslide is challenging. Most current landslide prediction methods consider past rainfall events that resulted in landslides, and then use that as input to provide a deterministic rainfall threshold for a landslide to occur. These methods simply predict either a landslide or no landslide for given rainfall conditions. In a new study, Berti et al. developed a probabilistic approach that returns a probability, from 0 to 1, of a landslide occurring for a given rainfall amount. They tested their approach on historical rainfall and landslide data from the Emilia‐Romagna Region of Italy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
