Published August 14, 2024 | Published
Journal Article Open

Super-shear ruptures steered by pre-stress heterogeneities during the 2023 Kahramanmaraş earthquake doublet

  • 1. ROR icon Southern University of Science and Technology
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Earth Observatory of Singapore
  • 4. ROR icon Nanyang Technological University
  • 5. ROR icon Peking University

Abstract

The 2023 M7.8 and M7.5 earthquake doublet near Kahramanmaraş, Turkey, provides insight regarding how large earthquakes rupture complex faults. Here we determine the faults geometry using surface ruptures and Synthetic Aperture Radar measurements, and the rupture kinematics from the joint inversion of high-rate Global Navigation Satellite System (GNSS), strong-motion waveforms, and GNSS static displacement. The M7.8 event initiated on a splay fault and subsequently propagated along the main East Anatolian Fault with an average rupture velocity between 3.0 and 4.0 km/s. In contrast, the M7.5 event demonstrated a bilateral supershear rupture of about 5.0–6.0 km/s over an 80 km length. Despite varying strike and dip angles, the sub-faults involved in the mainshock are nearly optimally oriented relative to the local stress tensor. The second event ruptured a fault misaligned with respect to the regional stress, also hinting at the effect of local stress heterogeneity in addition to a possible free surface effect.

Copyright and License

© The Author(s) 2024.

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Acknowledgement

K.C. was funded by the National Natural Science Foundation of China (NSFC) 42074024 and Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology (2022B1212010002). C.M. was supported by the NASA Earth Surface and Interior Focus Area ROSES grants (80NM0018D0004, 80NSSC20K0492). L.D.Z was supported by the European Research Council (ERC) Synergy Grant “Fault Activation and Earthquake Rupture” (FEAR) (No. 856559), the Earth Observatory of Singapore (EOS), and the Singapore Ministry of Education Tier 3b project “Investigating Volcano and Earthquake Science and Technology (InVEST)” (Award No. MOE-MOET32021-0002). C.L. was supported by NSFC 42274026 and J.P.A was supported by NASA/ROSES grant 80NSSC20K0492. We thank JAXA for providing ALOS-2 data used in this study.

Contributions

K.C. carried out finite source modeling and drafted the initial manuscript; G.W. performed the Bayesian inversion of fault geometries; C.M. processed optical offset data and inverted the background stress; C.L. processed the InSAR measurements; L.D.Z and J.P.A. helped with the data analysis and the writing. All authors took part in finalizing the paper.

Data Availability

GNSS data used in this study were obtained from the Turkish Permanent GNSS Network (TUSAGA-Aktif) and are available at https://www.tusaga-aktif.gov.tr/Web/DepremVerileri.aspx. Strong motion records were provided by AFAD (https://tdvms.afad.gov.tr/list-station/543428/37.043/37.288https://tdvms.afad.gov.tr/list-station/543593/37.239/38.089). ALOS-2 data are made freely available by the Japan Aerospace Exploration Agency (JAXA) at: https://www.eorc.jaxa.jp/ALOS/en/dataset/alos_open_and_free_e.htm. Sentinel-1 data are also freely available and provided by the European Space Agency (ESA) under the Copernicus Program.

Code Availability

Finite source inversion code is modified based on Mudpy (https://github.com/dmelgarm/MudPy), and the calculation of Green’s function for Bayesian inversion is cutde (https://github.com/tbenthompson/cutde).

Supplemental Material

Supplementary Information (PDF)

Peer Review File (PDF)

Description of Additional Supplementary Files (PDF)

Supplementary Movie 1 (AVI)

Supplementary Movie 2 (AVI)

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Additional details

Created:
January 8, 2025
Modified:
January 9, 2025