Low-frequency centroid-moment-tensor inversion from superconducting-gravimeter data: The effect of seismic attenuation

被引:4
|
作者
Zabranova, Eliska [1 ]
Matyska, Ctirad [1 ]
机构
[1] Charles Univ Prague, Fac Math & Phys, Dept Geophys, CZ-18000 Prague, Czech Republic
关键词
Normal modes; Superconducting-gravimeter data; Quality factors; CMT inversion; SOURCE PARAMETERS; PACIFIC COAST; NORMAL-MODES; 2004; SUMATRA; EARTHQUAKE; CONSTRAINTS; COMPONENT;
D O I
10.1016/j.pepi.2014.06.013
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
After the 2010 Maule and 2011 Tohoku earthquakes the spheroidal modes up to 1 mHz were clearly registered by the Global Geodynamic Project (GGP) network of superconducting gravimeters (SG). Fundamental parameters in synthetic calculations of the signals are the quality factors of the modes. We study the role of their uncertainties in the centroid-moment-tensor (CMT) inversions. First, we have inverted the SG data from selected GGP stations to jointly determine the quality factors of these normal modes and the three low-frequency CMT components, M-rr, (K-theta theta - M-phi phi)/2 and M-theta phi, that generate the observed SG signal. We have used several-days-long records to minimize the trade-off between the quality factors and the CMT but it was not eliminated completely. We have also inverted each record separately to get error estimates of the obtained parameters. Consequently, we have employed the GGP records of 60-h lengths for several published modal-quality-factor sets and inverted only the same three CMT components. The obtained CMT tensors are close to the solution from the joint Q-CMT inversion of longer records and resulting variability of the CMT components is smaller than differences among routine agency solutions. Reliable low-frequency CMT components can thus be obtained for any quality factors from the studied sets. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:25 / 32
页数:8
相关论文
共 45 条
  • [31] Complexity of Deep Low-Frequency Earthquake Activity in Shikoku (Japan) Imaged From the Analysis of Continuous Seismic Data
    Poiata, Natalia
    Vilotte, Jean-Pierre
    Shapiro, Nikolai M.
    Supino, Mariano
    Obara, Kazushige
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2021, 126 (11)
  • [32] Porosity prediction from prestack seismic data via deep learning: incorporating a low-frequency porosity model
    Liu, Jingyu
    Zhao, Luanxiao
    Xu, Minghui
    Zhao, Xiangyuan
    You, Yuchun
    Geng, Jianhua
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2023, 20 (05) : 1016 - 1029
  • [33] Identifying and removing tilt noise from low-frequency (<0.1 Hz) seafloor vertical seismic data
    Crawford, WC
    Webb, SC
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2000, 90 (04) : 952 - 963
  • [34] Temporal variation in seismic moment release rate of slow slips inferred from deep low-frequency tremors in the Nankai subduction zone
    Yoko Kono
    Keita Nakamoto
    Yoshihiro Hiramatsu
    Earth, Planets and Space, 72
  • [35] Temporal variation in seismic moment release rate of slow slips inferred from deep low-frequency tremors in the Nankai subduction zone
    Kono, Yoko
    Nakamoto, Keita
    Hiramatsu, Yoshihiro
    EARTH PLANETS AND SPACE, 2020, 72 (01):
  • [36] Bounds tests of the Gibson paradox and the fisher effect: Evidence from low-frequency international data
    Atkins, FJ
    Serletis, A
    MANCHESTER SCHOOL, 2003, 71 (06): : 673 - 679
  • [37] Estimating Near-Surface Rigidity from Low-Frequency Noise Using Collocated Pressure and Horizontal Seismic Data
    Wang, Jiong
    Tanimoto, Toshiro
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2020, 110 (04) : 1960 - 1970
  • [38] Matched-field geoacoustic inversion of low-frequency source tow data from the ASIAEX East China Sea experiment
    Huang, CF
    Hodgkiss, WS
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2004, 29 (04) : 952 - 963
  • [39] Cross-property rock physics relations for estimating low-frequency seismic impedance trends from electromagnetic resistivity data
    Mukerji, Tapan
    Mavko, Gary
    Gomez, Carmen
    Leading Edge (Tulsa, OK), 2009, 28 (01): : 94 - 97
  • [40] Updating the low-frequency model in time-lapse seismic inversion: A case study from a heavy-oil steam-injection project
    CGG, France
    不详
    Leading Edge, 12 (1456-1461):