Selection of Ground Motion Prediction Equations for the Global Earthquake Model - BRGM - Bureau de recherches géologiques et minières Accéder directement au contenu
Article Dans Une Revue Earthquake Spectra Année : 2015

Selection of Ground Motion Prediction Equations for the Global Earthquake Model

Résumé

Ground-motion prediction equations (GMPEs) relate ground-motion intensity measures to variables describing earthquake source, path, and site effects. We select from many available GMPEs those models recommended for use in seismic hazard assessments in the Global Earthquake Model. We present a GMPE selection procedure that evaluates multi-dimensional ground motion trends (e.g., with respect to magnitude, distance and structural period), examines functional forms, and evaluates published quantitative tests of GMPE performance against independent data. Our recommendations include: four models, based principally on simulations, for stable continental regions (SCRs); three empirical models for interface and in-slab subduction zone (SZ) events; and three empirical models for active shallow crustal regions (ACRs). To approximately incorporate epistemic uncertainties, the selection process accounts for alternate representations of key GMPE attributes, such as the rate of distance attenuation, which are defensible from available data. Recommended models for each domain will change over time as additional GMPEs are developed.
Fichier principal
Vignette du fichier
stewartetal2013.pdf (965.43 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00799537 , version 1 (12-03-2013)

Identifiants

Citer

Jonathan P. Stewart, John Douglas, Mohammad Javanbarg, Norman A. Abrahamson, Yousef Bozorgnia, et al.. Selection of Ground Motion Prediction Equations for the Global Earthquake Model. Earthquake Spectra, 2015, 31 (1), pp.19-45. ⟨10.1193/013013EQS017M⟩. ⟨hal-00799537⟩

Collections

BRGM
282 Consultations
1066 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More