Self-Sustaining Landslide Mitigation Strategy through Long-Term Monitoring

• Published in: Water
• Main Authors: Filippo Tommaso Catelan, Giulia Bossi, Gianluca Marcato
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2022
• Subjects: landslide mitigation; monitoring; micro-hydro plant; costs reduction; gray-box model; Hydraulic engineering; TC1-978; Water supply for domestic and industrial purposes; TD201-500; permafrost
• Online Access: https://doi.org/10.3390/w14233824; https://doaj.org/article/4898ed5108b04bd896e732b9a4d08481

In mountain areas, anthropic pressure is growing while, concurrently, landslide frequency in most of the mountain regions of the world is increasing due to a more extreme precipitation pattern and permafrost deglaciation. Because of budget constraints, the need to investigate innovative and low-cost countermeasures for landslide risk is becoming more and more pressing. In this context, the Passo della Morte area (North-East Italy) is a perfect benchmark case. It comprises an extensive, long-term database of monitoring data that allows for testing hypotheses and validating them. Based on this data, a strong correlation between the velocity of a displacement of a landslide and the discharge of the Rio Verde stream was found. According to this evidence, local authorities have started the construction of a completely innovative mitigation strategy. It is focused on the triggering factor by identifying a significant component of the flow rate of the stream that cuts through the landslide. In addition, aiming to reduce the cost of construction and maintenance, this mitigation strategy is coupled with a micro-hydropower plant that can provide economic revenue by exploiting the discharge itself to produce electricity. Considering the active monitoring system that will be used to verify the effectiveness of the countermeasure, the Passo della Morte case study could become a starting point for implementing this pioneering and low-cost mitigation solution in similar morphologies.