Early warning systems and time series modelling: a new challenge for landslide risks prevention

Nowadays, fully integrated real-time multi-parameter monitoring technologies applied to geohazards and landslides establish themselves as high standard tools. They allow collecting massive amount of multidimensional data that rise new challenges for landslide risk prevention that are illustrated in this paper. It deals with the application of statistical methodologies for the analysisof a multi-parameter data set recorded in the context of the Ruines de Séchilienne (France) active landslide. Here amonitoring system was set-up on the western edge of the existing large active zone. It is based on an integrated technological platform, which combines microseismic, geotechnical, hydrogeologicaland meteorological measurements together with three dimensional displacement measurements.The work, still in progress,evidencesdifficulties inmodellingthe times series due to theongoingself-accelerating deformation processes of the landslide. In this context,in-depth processing and analysis of multi-parameter time series remains a tricky task considering onlydata-basedstatistical methodologies. Additionalinvestigationsare being madeto set-up statistical analysismethodologies suitable for automated useon a routine basis.