This doctoral thesis presents SADRI (Scenario-Aware Dynamic Landslide Risk & Impact), an automated event-based framework for regional shallow landslide risk assessment. The methodology integrates rainfall-driven triggering analysis through HIRESSS (Rossi et al., 2013), runout simulation with DebrisDice (Bregoli et al., 2018), and asset-level impact assessment to estimate dynamic economic risk for exposed buildings. The framework is applied to the Misa River Basin in the Marche Region, Italy, considering the rainfall events of May 2014 and September 2022.
Regional risk assessment of shallow landslides: integrating triggering and runout analysis / Brilli Nicolò. - (2026).
Regional risk assessment of shallow landslides: integrating triggering and runout analysis
Brilli Nicolò
2026
Abstract
This doctoral thesis presents SADRI (Scenario-Aware Dynamic Landslide Risk & Impact), an automated event-based framework for regional shallow landslide risk assessment. The methodology integrates rainfall-driven triggering analysis through HIRESSS (Rossi et al., 2013), runout simulation with DebrisDice (Bregoli et al., 2018), and asset-level impact assessment to estimate dynamic economic risk for exposed buildings. The framework is applied to the Misa River Basin in the Marche Region, Italy, considering the rainfall events of May 2014 and September 2022.| File | Dimensione | Formato | |
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Brilli_Nicolo_Regional_Risk_Assessment_2026.pdf
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Descrizione: Tesi di dottorato
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15.45 MB | Adobe PDF |
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