Abstract
Abstract. Straightforward communication of monitoring results is of major importance in emergency scenarios relevant to large slope instabilities. Here we describe the communication strategy developed for the Mont de La Saxe rockslide threatening La Palud and Entrèves hamlets in the Courmayeur municipality (Aosta Valley, Italy). Starting from the definition of actions and needs of the landslide management team, including scientists, technicians, civil protection operators, decision makers, and politicians, we show that sharing and disseminating ad hoc information simplifies the understanding of the landslide evolution, as well as the correct communication of the level of criticality.
Highlights
Large slope instabilities (LSI) include a wide range of landslide phenomena, from slow slope deformations to rapid and catastrophic rockslides
Starting from the definition of actions and needs of the landslide management team, including scientists, technicians, civil protection operators, decision makers, and politicians, we show that sharing and disseminating ad hoc information simplifies the understanding of the landslide evolution, as well as the correct communication of the level of criticality
Synoptic view of the entire monitoring network and results Early warning relevant to changes of the landslide status
Summary
Large slope instabilities (LSI) include a wide range of landslide phenomena, from slow slope deformations to rapid and catastrophic rockslides. Intensive monitoring helps to protect inhabited centers and infrastructures surrounding the unstable mass (Xu et al, 2011) Monitoring networks of this kind consist of precise and automated instruments that can achieve accurate measurements of surface displacements at very high sampling rates, e.g., in near-real time (minutes to hours) or even in real time (Intrieri et al, 2012; Di Biagio and Kjekstad, 2007). These are the base elements for the application of Early Warning Systems (EWS) (Manconi and Giordan, 2014, 2015; Michoud et al, 2013). The application of complex monitoring networks to large landslides is documented in several reference papers
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