Validation of regional physics-based ground motion scenarios: the case of the Mw 4.9

: In this paper, a comprehensive validation exercise of 3D physics-based numerical simulations (PBS) of seismic wave propagation is presented for a low-to-moderate seismicity area in the south east of France, within the Rhône River Valley, that hosts several operating nuclear installations. This area was hit on Nov 11, 2019, by an unusually damaging Mw 4.9 earthquake (Le Teil event). The numerical code SPEED ( http://speed.mox.polimi.it/ ), developed at Politecnico di Milano, Italy, was used to validate the simulations against the available recordings. When comparing simulations with records, a good to excellent agreement was found up to 8-10 Hz, showing that, even without a very detailed 3D numerical model of the medium, the PBS may provide realistic broadband predictions of earthquake ground motion. This also demonstrates that PBS, if suitably calibrated and validated, may be either an alternative or a useful complement to empirical ground motion models. Referring to the seismic risk evaluation of strategic and critical structures, infrastructures and industrial plants, such as nuclear power plants, the failure of which during an earthquake may endanger safety of population and cause environmental disasters, the 3D PBS may throw light on region-and site-specific features of

[1]  F. Pacor,et al.  An empirical model for the vertical‐to‐horizontal spectral ratios for Italy , 2021, Earthquake Engineering & Structural Dynamics.

[2]  N. Abrahamson,et al.  A non-ergodic ground-motion model of Fourier amplitude spectra for France , 2021, Bulletin of Earthquake Engineering.

[3]  Houjun Tang,et al.  EQSIM—A multidisciplinary framework for fault-to-structure earthquake simulations on exascale computers part I: Computational models and workflow , 2020, Earthquake Spectra.

[4]  L. Baillet,et al.  Exceptional ground motion during the shallow Mw 4.9 2019 Le Teil earthquake, France , 2020, Communications Earth & Environment.

[5]  R. Paolucci,et al.  Earthquake ground motion modeling of induced seismicity in the Groningen gas field , 2020, Earthquake Engineering & Structural Dynamics.

[6]  F. Casu,et al.  Coincident locations of rupture nucleation during the 2019 Le Teil earthquake, France and maximum stress change from local cement quarrying , 2020, Communications Earth & Environment.

[7]  P. Allemand,et al.  Rapid response to the M w 4.9 earthquake of November 11, 2019 in Le Teil, Lower Rhône Valley, France , 2020, Comptes Rendus. Géoscience.

[8]  B. Delouis,et al.  Surface rupture and shallow fault reactivation during the 2019 Mw 4.9 Le Teil earthquake, France , 2020, Communications Earth & Environment.

[9]  Dino Bindi,et al.  A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe , 2020, Bulletin of Earthquake Engineering.

[10]  Julian J. Bommer,et al.  Scenario dependence of linear site effect factors for short-period response spectral ordinates , 2017 .

[11]  Stéphane Baize,et al.  Transposing an active fault database into a seismic hazard fault model for nuclear facilities – Part 1: Building a database of potentially active faults (BDFA) for metropolitan France , 2017 .

[12]  G. Ameri,et al.  Site-specific partially nonergodic PSHA for a hard-rock critical site in southern France: adjustment of ground motion prediction equations and sensitivity analysis , 2017, Bulletin of Earthquake Engineering.

[13]  S. Gaudio,et al.  Physics-based seismic input for engineering applications: a case study in the Aterno river valley, Central Italy , 2017, Bulletin of Earthquake Engineering.

[14]  Tobias Scheffer,et al.  A Nonergodic Ground‐Motion Model for California with Spatially Varying Coefficients , 2016 .

[15]  K. Pitilakis,et al.  Aggravation factors for seismic response of sedimentary basins: A code-oriented parametric study , 2016 .

[16]  Jonathan P. Stewart,et al.  NGA-West2 Equations for Predicting Vertical-Component PGA, PGV, and 5%-Damped PSA from Shallow Crustal Earthquakes , 2016 .

[17]  Roberto Paolucci,et al.  Anatomy of strong ground motion: near-source records and three-dimensional physics-based numerical simulations of the Mw 6.0 2012 May 29 Po Plain earthquake, Italy , 2015 .

[18]  Chiara Smerzini,et al.  SPEED: SPectral Elements in Elastodynamics with Discontinuous Galerkin: a non‐conforming approach for 3D multi‐scale problems , 2013 .

[19]  Roberto Paolucci,et al.  Comparison of 3D, 2D and 1D numerical approaches to predict long period earthquake ground motion in the Gubbio plain, Central Italy , 2011 .

[20]  D. Boore Orientation-independent, nongeometric-mean measures of seismic intensity from two horizontal components of motion , 2010 .

[21]  Roberto Paolucci,et al.  Near-Fault Earthquake Ground-Motion Simulation in the Grenoble Valley by a High-Performance Spectral Element Code , 2009 .

[22]  J. Bielak,et al.  A Theoretical Method for Computing Near-Fault Ground Motions in Layered Half-Spaces Considering Static Offset Due to Surface Faulting, with a Physical Interpretation of Fling Step and Rupture Directivity , 2003 .

[23]  W. Dong,et al.  Earthquake ground motion , 1996 .

[24]  N. Abrahamson,et al.  A non‑ergodic ground‑motion model of Fourier amplitude spectra for France , 2022 .

[25]  A. Tyagi Prediction Models , 2021, Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning.

[26]  A. Deschamps,et al.  SI-Hex: a new catalogue of instrumental seismicity for metropolitan France , 2015 .

[27]  Ralph J. Archuleta,et al.  UCSB Method for Simulation of Broadband Ground Motion from Kinematic Earthquake Sources , 2015 .

[28]  P. Renault,et al.  Importance and Impact of Host-to-Target Conversions for Ground Motion Prediction Equations in PSHA , 2012 .

[29]  John G. Anderson,et al.  QUANTITATIVE MEASURE OF THE GOODNESS-OFFIT OF SYNTHETIC SEISMOGRAMS , 2002 .

[30]  Ezio Faccioli,et al.  Complex site effects and building codes: Making the leap , 2000 .