IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-69182-2_46.html
   My bibliography  Save this book chapter

Quantifying Uncertainties in Earthquake Scenario Ground Motion Calculations: Finite Source Effects

In: High Performance Computing in Science and Engineering, Garching/Munich 2007

Author

Listed:
  • H. J. Wang

    (Ludwig-Maximilians-University of Munich, Department of Earth and Environmental Sciences)

  • H. Igel

    (Ludwig-Maximilians-University of Munich, Department of Earth and Environmental Sciences)

  • A. Cochard

    (Institut de Physique du Globe)

  • M. Ewald

    (Ludwig-Maximilians-University of Munich, Department of Earth and Environmental Sciences)

Abstract

Finite-fault source inversions reveal the spatial complexity of earthquake slip over the fault plane. In this study, several possible earthquake scenarios of Mw7.0 are simulated with different quasi-dynamic finite source models for the Newport Inglewood (NI) fault system in the Los Angeles (LA) basin embedded in the 3-D SCEC community velocity model version 3. We make use of the recently developed Numerical Greens Functions method in (Wang, Strong Ground Motion Variations in Los Angeles Basin, 2007) and synthesize ground motions from a data base of 3-D Greens functions, calculated for a discretized model of the NI fault. This allows efficient simulation of arbitrary slip histories. We investigate the effects of the various slip histories on peak ground velocities and the related uncertainties in ground motion prediction for our study area. The results confirm that the fault perpendicular components of motion are dominated by directivity effects while the fault parallel component is influenced both by the slip distribution and the basin structure.

Suggested Citation

  • H. J. Wang & H. Igel & A. Cochard & M. Ewald, 2009. "Quantifying Uncertainties in Earthquake Scenario Ground Motion Calculations: Finite Source Effects," Springer Books, in: Siegfried Wagner & Matthias Steinmetz & Arndt Bode & Matthias Brehm (ed.), High Performance Computing in Science and Engineering, Garching/Munich 2007, pages 601-610, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-69182-2_46
    DOI: 10.1007/978-3-540-69182-2_46
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-540-69182-2_46. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.