Surface wave phase velocity maps from multiscale wave field interpolation
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  • 作者：Christian Weidle (1) cweidle@geophysik.uni-kiel.de
  • 关键词：Surface waves and free oscillations – ; Seismic tomography – ; Wave propagation
  • 刊名：Computational Geosciences
  • 出版年：2012
  • 出版时间：June 2012
  • 年：2012
  • 卷：16
  • 期：3
  • 页码：535-549
  • 全文大小：1.3 MB
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  • 作者单位：1. Department of Geosciences, University of Oslo, PO Box 1047, 0316 Oslo, Norway2. Institute of Geosciences, Christian-Albrechts-Universit盲t zu Kiel, Otto-Hahn-Platz 1, 24118 Kiel, Germany
  • 刊物类别：Mathematics and Statistics
  • 刊物主题：Mathematics
    Mathematical Modeling and IndustrialMathematics
    Geotechnical Engineering
    Hydrogeology
    Soil Science and Conservation
  • 出版者：Springer Netherlands
  • ISSN：1573-1499
文摘
Availability of spatially dense broadband observations of seismic surface wave fields allows to derive phase velocity maps on regional scale by non-tomographic means. I present a multiscale interpolation scheme for surface wave fields where for each observed wave field, a multiscale phase velocity map and its standard deviation are calculated from subsets of the available data. Isotropic phase velocity (with an estimate on its standard deviation) is then found as the weighted mean of multiscale maps from different observations. Comparison of different interpolation schemes on synthetic wave fields shows that bivariate linear interpolation of phases in a triangulated region, in conjunction with multiscale stacking, is not inferior than methods involving higher-order polynomials. The recovered phase velocity maps are, in the presence of random uncertainties with realistic magnitude, largely free of artifacts and restore a synthetic input model reasonably well. The method is applied to a subset of Rayleigh wave observations at USArray which yields phase velocity maps well within the range of published results. Multiscale interpolation seems to be a practical alternative to tomographic inversion for regional broadband seismic networks (≥30 stations). It requires no choice of arbitrary parameters and is insensitive to number of earthquakes and their azimuthal distribution.

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