Communication Dans Un Congrès Année : 2024

Leveraging Seismic Co-Detection for Early Warning

Résumé

This study investigates the potential of seismic co-detection as a tool for early warning in gravity-driven instabilities like landslides and rockfalls. Leveraging the Fiber Bundle Model (FBM), we explore the relationship between seismic activity and impending catastrophic failure in heterogeneous materials. Our findings reveal that seismic co-detection offers early detection capabilities, insights into slope behavior, and the ability to characterize micro-seismic activity, making it a valuable addition to slope instability monitoring and early warning systems.

Fichier principal
Vignette du fichier
ISL2024_FBM.pdf (252.79 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04914210 , version 1 (27-01-2025)

Licence

Identifiants

  • HAL Id : hal-04914210 , version 1

Citer

Jérome Faillettaz. Leveraging Seismic Co-Detection for Early Warning. XIVth International Symposium on Landslides, ISL, Jul 2024, Chambéry, France. ⟨hal-04914210⟩

Collections

44 Consultations
97 Téléchargements

Partager

  • More