EGU24-6563, updated on 08 Mar 2024
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Meta-analyzing geological data for seismic hazard assessment: the case study of central Apennines

Deborah Di Naccio1, Cinzia Di Lorenzo1, Marco Battistelli2, Simona Miccolis1, Vanja Kastelic1, and Michele MC Carafa1
Deborah Di Naccio et al.
  • 1Istituto Nazionale di Geofisica e Vulcanologia, Sismologia e Tettonofisica, L'Aquila, Italy (
  • 2University “G. d’Annunzio” Chieti-Pescara, Italy

In the past decade, seismic hazard assessment has progressively relied on innovative approaches based on seismotectonic models for robust physical-based short-term and long-term estimations. For this reason, consistency and homogenization are crucial in collecting data for a scientifically sounding seismotectonic model, especially when dealing with large amounts of information at different temporal and spatial scales. Additionally, a solid probabilistic approach is needed to correctly explore the uncertainties of the seismotectonic model components (e.g., offset, age, long-term slip rate). In this contribution, we focus on the active tectonics of the central Apennines because they have been repeatedly investigated in past decades, and a significant amount of complementary data is available. In such a case, we can define an innovative fault database for seismic hazard assessment, exploring in a probabilistic sense the deformation data (age and offset) and rate (long-term slip rate). Our approach provides a substantial methodological upgrade to fault-based input for seismic hazard assessment. The proposed methodology can be easily exported to zones with scarce data availability.

How to cite: Di Naccio, D., Di Lorenzo, C., Battistelli, M., Miccolis, S., Kastelic, V., and Carafa, M. M.: Meta-analyzing geological data for seismic hazard assessment: the case study of central Apennines, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-6563,, 2024.