Model for Basin Effects on Long‐Period Response Spectra in Southern California

  • Steven M. Day
    Department of Geological Sciences San Diego State University San Diego CA 92182
  • Robert Graves
    URS Corporation 566 El Dorado Street Pasadena CA 91101
  • Jacobo Bielak
    Department of Civil and Environmental Engineering Carnegie‐Mellon University Pittsburgh PA 15213
  • Douglas Dreger
    Berkeley Seismological Laboratory University of California, Berkeley Berkeley CA 94720
  • Shawn Larsen
    Lawrence Livermore National Laboratory Livermore CA 94550
  • Kim B. Olsen
    Department of Geological Sciences San Diego State University San Diego CA 92182
  • Arben Pitarka
    URS Corporation 566 El Dorado Street Pasadena CA 91101
  • Leonardo Ramirez‐Guzman
    Department of Civil and Environmental Engineering Carnegie‐Mellon University Pittsburgh PA 15213

書誌事項

公開日
2008-02
権利情報
  • http://onlinelibrary.wiley.com/termsAndConditions#vor
  • http://doi.wiley.com/10.1002/tdm_license_1.1
DOI
  • 10.1193/1.2857545
公開者
Wiley

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説明

<jats:p> We propose a model for the effect of sedimentary basin depth on long‐period response spectra. The model is based on the analysis of 3‐D numerical simulations (finite element and finite difference) of long‐period (2–10 <jats:italic>s</jats:italic> ) ground motions for a suite of sixty scenario earthquakes (Mw 6.3 to Mw 7.1) within the Los Angeles basin region. We find depth to the 1.5 km/s <jats:italic>S</jats:italic> ‐wave velocity isosurface to be a suitable predictor variable, and also present alternative versions of the model based on depths to the 1.0 and 2.5 km/s isosurfaces. The resulting mean basin‐depth effect is period dependent, and both smoother (as a function of period and depth) and higher in amplitude than predictions from local 1‐D models. The main requirement for the use of the results in construction of attenuation relationships is determining the extent to which the basin effect, as defined and quantified in this study, is already accounted for implicitly in existing attenuation relationships, through (1) departures of the average “rock” site from our idealized reference model, and (2) correlation of basin depth with other predictor variables (such as <jats:italic>V</jats:italic> <jats:sub> <jats:italic>s</jats:italic> 30 </jats:sub> ). </jats:p>

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