EGU2020-422
https://doi.org/10.5194/egusphere-egu2020-422
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

PFDHA modelling based on new empirical regressions for distributed faulting on dip-slip earthquakes

Fiia Nurminen1, Stéphane Baize2, Paolo Boncio1, Bruno Pace1, Oona Scotti2, Alessandro Valentini1, and Francesco Visini3
Fiia Nurminen et al.
  • 1University "G. d'Annunzio" of Chieti, Italy (fiia.nurminen@unich.it)
  • 2Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, France
  • 3Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Pisa, Italy

Probabilistic fault displacement hazard analysis (PFDHA) is needed for a numerical estimate of the displacement likely to occur at a site near an active fault in case of a surface faulting earthquake. The methodology is based on parameters describing the probability of occurrence, and the spatial distribution of the displacement on and off-fault. The methodology was created for normal faulting setting, and has been later complemented with the parameters for other slip types, especially regarding the principal fault rupturing. Based on empirical fault displacement data in the Worldwide and Unified Database of Surface Ruptures (SURE), we are presenting new regression parameters for distributed faulting for dip-slip earthquakes. The parameters are used in a computational model for assessing the surface rupture hazard near active dip-slip faults. The modelling results the probability distribution of exceeding a chosen level of displacement, and can be used in stcture design and land-use related decision making in areas where surface faulting hazard should be considered.

How to cite: Nurminen, F., Baize, S., Boncio, P., Pace, B., Scotti, O., Valentini, A., and Visini, F.: PFDHA modelling based on new empirical regressions for distributed faulting on dip-slip earthquakes, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-422, https://doi.org/10.5194/egusphere-egu2020-422, 2019

This abstract will not be presented.