High-resolution seismicity imaging and early aftershock migration of the 2023 Kahramanmaraş (SE Türkiye) MW7.9 & 7.8 earthquake doublet

Hongyang Ding, Yijian Zhou*, Zengxi Ge*, Tuncay Taymaz, Abhijit Ghosh, Haoyu Xu, Tahir Serkan Irmak, Xiaodong Song*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

We build a high-resolution early aftershock catalog for the 2023 SE Türkiye seismic sequence with PALM, a seamless workflow that sequentially performs phase picking, association, location, and matched filter for continuous data. The catalog contains 29,519 well-located events in the two mainshocks rupture region during 2023-02-01–2023-02-28, which significantly improves the detection completeness and relocation precision compared to the public routine catalog. Employing the new PALM catalog, we analyze the structure of the seismogenic fault system. We find that the Eastern Anatolian Fault (EAF) that generated the first MW7.9 mainshock is overall near-vertical, whereas complexities are revealed in a small-scale, such as subparallel subfaults, unmapped branches, and stepovers. The seismicity on EAF is shallow (<15 km) and concentrated in depth distribution, indicating a clear lock-creep transition. In contrast, the Sürgü Fault (SF) that is responsible for the second MW7.8 mainshock is shovel-shaped for the nucleation segment and has overall low dip angles (∼40°–80°). Aftershocks on the SF distribute in a broad range of depth, extending down to ∼35 km. We also analyze the temporal behavior of seismicity, discovering no immediate foreshocks within ∼5 days preceding the first mainshock, and no seismic activity on the SF before the second mainshock.

Original languageEnglish
Pages (from-to)417-432
Number of pages16
JournalEarthquake Science
Volume36
Issue number6
DOIs
Publication statusPublished - Dec 2023

Bibliographical note

Publisher Copyright:
© 2023 The Authors

Funding

We thank Prof. Anthony Lomax for discussions on NLL-SSST algorithm and catalog building strategy. Figures in this paper are plotted with GMT[37] and Matplotlib[9]. This project is jointly supported by the National Key R&D Program (No. 2022YFF0800601), the Istanbul Technical University Research Fund (ITU-BAP), the Alexander von Humboldt Foundation Research Fellowship Award for providing computing facilities through the Humboldt-Stiftung Follow-Up Program, and the University of California, Riverside. We thank Prof. Anthony Lomax for discussions on NLL-SSST algorithm and catalog building strategy. Figures in this paper are plotted with GMT[ 37 ] and Matplotlib[ 9 ]. This project is jointly supported by the National Key R&D Program (No. 2022YFF0800601), the Istanbul Technical University Research Fund (ITU- BAP ), the Alexander von Humboldt Foundation Research Fellowship Award for providing computing facilities through the Humboldt-Stiftung Follow-Up Program, and the University of California, Riverside .

FundersFunder number
Istanbul Technical University Research FundITU- BAP
Alexander von Humboldt-Stiftung
University of California, Riverside
Istanbul Teknik Üniversitesi
National Key Research and Development Program of China2022YFF0800601
Bilimsel Araştırma Projeleri Birimi, İstanbul Teknik Üniversitesi

    Keywords

    • 2023 Türkiye Earthquake Doublet
    • PALM
    • aftershock catalog
    • aftershock migration
    • fault imaging

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