> Details

Kotha, Sreeram Reddy [Author]; Weatherill, Graeme [Author]; Bindi, Dino [Author]; Cotton, Fabrice [Author]; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, Grenoble, France [Author]; Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany [Author]; Institute of Geosciences, University of Potsdam, Potsdam, Germany [Author]

A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe

Reference
management

Bookmarks

Remove from
bookmarks

Share this on Whatsapp

Close

Bookmarks



You can manage bookmarks using lists, please log in to your user account for this.
  • Media type: E-Article
  • Title: A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe
  • Contributor: Kotha, Sreeram Reddy [Author]; Weatherill, Graeme [Author]; Bindi, Dino [Author]; Cotton, Fabrice [Author]; Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, IFSTTAR, ISTerre, Grenoble, France [Author]; Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany [Author]; Institute of Geosciences, University of Potsdam, Potsdam, Germany [Author]
  • imprint: Springer Netherlands, 2020-05-21
  • Language: English
  • DOI: https://doi.org/10.1007/s10518-020-00869-1
  • Keywords: Regionally adaptable ; Robust mixed-effects regression ; Response spectra ; Ground-motion model ; Seismic hazard and risk ; Europe
  • Origination:
  • Footnote: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Description: To complement the new European Strong-Motion dataset and the ongoing efforts to update the seismic hazard and risk assessment of Europe and Mediterranean regions, we propose a new regionally adaptable ground-motion model (GMM). We present here the GMM capable of predicting the 5% damped RotD50 of PGA, PGV, and SA(T = 0.01 − 8 s) from shallow crustal earthquakes of 3 ≤ M W ≤ 7.4 occurring 0 < RJB ≤ 545 km away from sites with 90 ≤ Vs30 ≤ 3000 m s−1 or 0.001 ≤ slope ≤ 1 m m−1. The extended applicability derived from thousands of new recordings, however, comes with an apparent increase in the aleatory variability (σ). Firstly, anticipating contaminations and peculiarities in the dataset, we employed robust mixed-effect regressions to down weigh only, and not elimi nate entirely, the influence of outliers on the GMM median and σ. Secondly, we regionalised the attenuating path and localised the earthquake sources using the most recent models, to quantify region-specific anelastic attenuation and locality-specific earthquake characteristics as random-effects, respectively. Thirdly, using the mixed-effect variance–covariance structure, the GMM can be adapted to new regions, localities, and sites with specific datasets. Consequently, the σ is curtailed to a 7% increase at T < 0.3 s, and a sub stantial 15% decrease at T ≥ 0.3 s, compared to the RESORCE based partially non-ergodic GMM. We provide the 46 attenuating region-, 56 earthquake localities-, and 1829 site-spe cific adjustments, demonstrate their usage, and present their robustness through a 10-fold cross-validation exercise. ; SIGMA2 consortium (EDF, CEA, PG&E, SwissNuclear,. Areva, CEZ, CRIEPI) ; H2020 Research Infrastructures http://dx.doi.org/10.13039/100010666
  • Access State: Open Access
  • Rights information: Attribution (CC BY)