Alert threshold assessment based on equivalent displacements for the identification of potentially critical landslide events
This paper presents a methodology developed to assess if a potentially critical landslide event is displaying a significant deviation from previously sampled data, or if it could be classified as a false alarm. The paper aims to assess the monitoring systems for Landslide Early Warning Systems. Despite technological improvements, the data interpretation process is still a challenging task, in particular when it comes to the identification of critical events and failure forecasting operations. This paper reports a series of examples referring to different case studies, involving both false alarms and real collapses.
The paper finds that the proposed methodology provided an effective and easily applicable procedure for the analysis of potentially critical events and the identification of false alarms. However, this model should not be applied in isolation since the monitoring of slope displacements is only one aspect of a very complex phenomenon. The most reliable approach should involve the integration of multiple methodologies in order to have a more complete description of the slope evolution over time.
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