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Application of the Empirical Hybrid Rupture Fault Model in the June 1, 2022 Lushan Earthquake

In: Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024)

Author

Listed:
  • Xingzhe Li

    (Guilin University of Technology, College of Civil Engineering)

  • Xueliang Chen

    (Institute of Geophysics, China Earthquake Administration)

  • Kelin Chen

    (Beijing University of Technology, College of Architecture and Civil Engineering)

Abstract

This study applies empirical magnitude-source parameter relationships to the Mw 5.9 Lushan earthquake on June 1, 2022. By employing a hybrid source model combining a deterministic asperity model and the stochastic K2 model, 30 sets of source rupture models were generated using a truncated normal distribution method to randomly sample global and local source parameters consistent with empirical constraints. Acceleration response spectra for these 30 source models were simulated at 20 stations via the stochastic finite-fault method. The source model exhibiting the smallest residual between its response spectra and the average response spectrum was selected as the optimal source characterization for the Lushan earthquake.

Suggested Citation

  • Xingzhe Li & Xueliang Chen & Kelin Chen, 2025. "Application of the Empirical Hybrid Rupture Fault Model in the June 1, 2022 Lushan Earthquake," Advances in Economics, Business and Management Research, in: Sen Qiao & Hongbin Cao & Aiwen Liu & Xueliang Chen & Tiefei Li & Peng Han (ed.), Proceedings of the 11th Annual Meeting of Risk Analysis Council of China Association for Disaster Prevention (RAC 2024), pages 219-224, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-946-9_28
    DOI: 10.2991/978-94-6463-946-9_28
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