Probability of Distributed Surface Rupturing Occurrence and Displacement Regression for Normal and Reverse Earthquakes
Session: Fault Displacement Hazard: New Data and Modeling Advances I
Type: Oral
Date: 4/22/2021
Presentation Time: 10:30 AM Pacific
Description:
Probabilistic fault displacement hazard analysis (PFDHA) estimates the probability of occurrence and the expected exceedance of on-fault (principal fault rupturing; PF) and off-fault (distributed rupturing; DR) surface displacement during an earthquake. Here we concentrate on off-fault rupturing on dip-slip earthquakes, and present an original probability model for the occurrence of DR and for the expected exceedance of displacement distribution based on an approach named “slicing” (an alternative to the “gridding” approach commonly used). The method is developed based on the compilation and reappraisal of surface ruptures from 32 historical crustal dip-slip earthquakes, with magnitudes ranging from Mw 4.9 to 7.9. A ranking scheme is applied to distinguish PF (rank 1) from simple DR (rank 2) and triggered faulting (rank 3). Thus modellers can use prediction equations based on or excluding ruptures strongly related to local structural setting depending on the site of concern. In the case of a structural setting at a site where large-scale bending (rank 21, 22) and pre-existing faults (rank 1.5, 3) is considered irrelevant, modelling can be performed considering only the unpredictable DR (rank 2). To minimize bias due to the incomplete nature of the database, we introduce the “slicing” approach, which considers that the probability of having a surface rupture within slices parallel to the PF is homogeneous along the strike of each slice. “Slicing” probabilities, computed as a function of magnitude of the earthquake and distance from the PF, are then combined with Monte Carlo simulations that model the dependence of the probability of occurrence of rupture and exceedance of displacement with the dimensions and position of the site of interest with respect to the PF. Finally, both probabilities are combined with existing predictive equations of exceedance of displacement on the PF to calculate fault-displacement hazard curves for sites of interest.
Presenting Author: Fiia Nurminen
Student Presenter: Yes
Authors
Fiia Nurminen Presenting Author Corresponding Author fiia.nurminen@unich.it Università degli Studi "G. d'Annunzio" Chieti |
Francesco Visini francesco.visini@ingv.it Istituto Nazionale di Geofisica e Vulcanologia |
Stéphane Baize stephane.baize@irsn.fr Institut de Radioprotection et de Sûreté Nucléaire |
Paolo Boncio paolo.boncio@unich.it Università degli Studi "G. d'Annunzio" Chieti |
Bruno Pace bruno.pace@unich.it Università degli Studi "G. d'Annunzio" Chieti |
Oona Scotti oona.scotti@irsn.fr Institut de Radioprotection et de Sûreté Nucléaire |
Alessandro Valentini A.Valentini@iaea.org Università degli Studi "G. d'Annunzio" Chieti |
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Probability of Distributed Surface Rupturing Occurrence and Displacement Regression for Normal and Reverse Earthquakes
Category
Fault Displacement Hazard: New Data and Modeling Advances