GEOSCAN, résultats de la recherche


TitreUncertainty of linear earthquake site amplification via Bayesian inversion of surface seismic data
AuteurMolnar, S; Dosso, S E; Cassidy, J F
SourceGeophysics vol. 78, no. 3, 2013 p. WB37-WB48,
Séries alt.Secteur des sciences de la Terre, Contribution externe 20110062
ÉditeurSociety of Exploration Geophysicists
Documentpublication en série
Mediapapier; en ligne; numérique
SNRC92B/06; 92B/11; 92B/14; 92G/03
Lat/Long OENS-123.5000 -123.0000 49.2500 48.5000
Sujetssecousses séismiques; études séismiques; mécanismes de tremblement de terre; sismo-sondages; géophysique
Illustrationslocation maps; plots; tables
ProgrammeÉvaluations ciblées des dangers dans l'Ouest du Canada, Géoscience pour la sécurité publique
Résumé(disponible en anglais seulement)
We examine uncertainty in predicted linear 1D site amplification due to uncertainty in shear-wave velocity (VS) structure quantified from Bayesian (probabilistic) inversion of microtremor array dispersion data. Based on a sample of VS profiles drawn from the posterior probability density of the microtremor inversion, probability distributions are computed for common predictors of site amplification including VSZ (traveltime average VS to a depth z) and amplification spectra based on seismic impedance variations and full transverse shear-wave effects. These methods are applicable for any site, but the resulting probabilistic site amplification analyses are specific to the two sediment sites studied here with strongly contrasting geology in high population centers of British Columbia, Canada.
The site amplification probability distributions for the two sites are shown to be more informative than amplification estimated for a single best-fit VS profile by characterizing the uncertainty and therefore level of confidence in the predictions. The shearwave amplification probability spectra are evaluated by comparison to empirical earthquake and microtremor spectral ratios, with generally good agreement in resonant peak frequencies and amplification levels, providing confidence that the primary influence of site-specific structure is accounted for appropriately. The wider implication here is that proper characterization of the VS (z) profile uncertainty distribution from inversion of cost-effective surface wave dispersion data is beneficial in the application of said profiles to the prediction of earthquake
site response and its uncertainty, as required for probabilistic seismic hazard assessment.