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Hao A W，Zhang H J，Han S C，Gao L. 2023. Joint inversion of multi-station receiver functions and gravity data for imaging Moho variations and average crustal vP/vS ratios. Acta Seismologica Sinica，45（1）：1−16. DOI: 10.11939/jass.20210179
Citation: Hao A W，Zhang H J，Han S C，Gao L. 2023. Joint inversion of multi-station receiver functions and gravity data for imaging Moho variations and average crustal vP/vS ratios. Acta Seismologica Sinica，45（1）：1−16. DOI: 10.11939/jass.20210179
shu

Joint inversion of multi-station receiver functions and gravity data for imaging Moho variations and average crustal vP/vS ratios

  • 1.

    School of Earth and Space Sciences，University of Science and Technology of China，Hefei 230026，China

  • 2.

    Anhui Mengcheng National Geophysical Observatory，Anhui Mengcheng 233527，China

  • 3.

    Xi’an Mineral Resources Survey Center，China Geology Survey，Xi’an 710000，China

More Information
  • Received Date: November 22, 2021
  • Revised Date: March 16, 2022
  • Available Online: August 31, 2022
  • Published Date: January 14, 2023
    Graphical Abstract
    • Abstract
  • Crustal thickness and vP/vS ratio are two important parameters for understanding crustal structure and composition, which can help to study regional tectonics. Receiver function analysis has been widely used for determining crustal thickness and vP/vS ratio by the H-κ method or the H-κ-c method. However, it can only acquire average crustal thickness and vP/vS ratio beneath each seismic station, but cannot constrain their lateral variations among seisimic stations due to their sparse and irregular distribution. On the other hand, the gravity data has been widely used to derive the Moho variaitons, which has a good coverage and resolution laterally but poor resolution vertically. Therefore, in this study we have developed a new joint inversion method of receiver functions and gravity data to simultaneously invert for variations of Moho depths and average crustal vP/vS ratios in a region. The method takes advantage of complementary strengths of receiver functions and gravity data, and can simultaneously fit all receiver functions and gravity data in the region. The synthetic tests show that the proposed joint inversion method produces more reliable results than only receiver function analysis, especially for the crustal thickness.
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    • References (48)
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