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Pure and Applied Geophysics

, Volume 170, Issue 3, pp 391–407 | Cite as

A Rupture Model for the 1999 Chi-Chi Earthquake from Inversion of Teleseismic Data Using the Hybrid Homomorphic Deconvolution Method

  • Boi-Yee LiaoEmail author
  • Tian-Wei Sheu
  • Yeong-Tien Yeh
  • Huey-Chu Huang
  • Lien-Shiang Yang
Article

Abstract

This study investigates the kinematics of the rupture process of the M L 7.3 Chi–Chi, Taiwan, earthquake on September 21, 1999. By applying the proposed hybrid homomorphic deconvolution method to deconvolve teleseismic broadband P-wave displacement recordings of the earthquake, this study derives the apparent source time functions (ASTFs) at ten stations located around the epicenter. To further characterize the fault, the kinematic history of the rupture was inverted from ASTFs using a genetic algorithm, coupled with nonlinear iterative technique. The calculated ASFTs reveal that the total rupture event lasted for approximately 27 s. Static slip distribution images indicate that most slip occurred at shallower portions of the fault plane, especially 20–55 km north of the epicenter. The maximum slip reached 20 m at 45 km north of the epicenter, and the average slip throughout the observed rupture area was approximately 2 m. Large asperities on the fault appeared at 25–35 km and 40–50 km north of the hypocenter, and coincided with relatively high rupture velocity. This suggests that the earthquake’s energy may have been released quickly. The rupture velocity decreased upon encountering an asperity, and increased again after passing the asperity. This implies that the rupture required more time to overcome the resistances of the asperities. The maximum rupture velocity was 3.8 km/s, while the average rupture velocity was approximately 2.2 km/s. The rise time distribution suggests that larger slip amplitudes generally correspond to shorter rise times on the subfaults.

Keywords

Source Model Global Position System Data Rupture Process Rupture Velocity Phase Unwrap 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors would like to express their thanks to the anonymous reviewers for their valuable suggestions, and to the Incorporated Research Institutions for Seismology for providing the teleseismic data.

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Copyright information

© Springer Basel AG 2012

Authors and Affiliations

  • Boi-Yee Liao
    • 1
    Email author
  • Tian-Wei Sheu
    • 1
  • Yeong-Tien Yeh
    • 2
  • Huey-Chu Huang
    • 3
  • Lien-Shiang Yang
    • 4
  1. 1.Research Center on Educational Measurement and StatisticsNational Taichung UniversityTaichungTaiwan, ROC
  2. 2.Department of Applied GeoinformaticsChia Nan University of Pharmacy and ScienceTainanTaiwan, ROC
  3. 3.Institute of SeismologyNational Chung Cheng UniversityChia-YiTaiwan, ROC
  4. 4.Department of MathematicsNational Taitung UniversityTaitungTaiwan, ROC

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