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Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes
Abstract
This study investigates pre-seismic ionospheric disturbances preceding the February 6, 2023 Kahramanmaraş earthquake sequence (Mw 7.8 and Mw 7.5) using GPS-derived Total Electron Content (TEC) data from 15 TNPGN-Active stations. The IONOLAB-FFT algorithm was applied to analyze frequency and duration characteristics of ionospheric disturbances during the five-day pre-earthquake period. Cross-correlation analysis reveals systematic temporal evolution, with near-epicentral stations showing pronounced variations. The Ekinözü station (EKZ1), 15.5 km from the Mw 7.5 epicenter, exhibited the most dramatic correlation drop from ~0.95 to ~0.78. Experimental Probability Density Function analysis demonstrates progressive spectral evolution from baseline conditions to increasingly anomalous signatures, with broadened frequency spectra at near-epicentral stations indicating multiple disturbance mechanisms. Duration analysis reveals bimodal distributions at stations closest to epicenters, suggesting coexistence of short-duration acoustic-gravity waves and longer-duration electromagnetic disturbances. Significant ionospheric anomalies begin 2-3 days before the earthquake sequence, with most pronounced changes occurring 24-48 hours prior to the main shock. The analysis establishes clear distance-dependent relationships, with optimal detection sensitivity within 50-100 km of seismic sources. Results provide compelling evidence for Lithosphere-Atmosphere-Ionosphere coupling mechanisms and demonstrate potential applications in earthquake monitoring systems.
Keywords
Supporting Institution
TUBİTAK
Ethical Statement
This article does not require ethics committee approval. This article has no conflicts of interest with any individual or institution.
Thanks
This research is supported by TUBİTAK EEEAG Grant 124E027. The authors are grateful to anonymous reviewers for their comments and contributions, which have been very helpful and constructive for the authors in improving the paper. The IONOLAB-TEC data used in this study were obtained from the IONOLAB Group (www.ionolab.org) and are available upon reasonable request to the corresponding author. TNPGN-Active RINEX data set can be obtained by the permission from General Directorate of Land Registry and Cadastre, Department of Mapping at https://www.tusaga-aktif.gov.tr/. The derived data supporting the findings of this study can be provided upon request. The IONOLAB-FFT algorithm and code used in this research can also be shared with interested researchers for further validation and replication of results.
References
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- Karatay S. Detection of the ionospheric disturbances on GPS-TEC using Differential Rate Of TEC (DROT) algorithm. Advances in Space Research 2020;65(10):2372-2390. doi:10.1016/j.asr.2020.01.042.
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Details
Primary Language
English
Subjects
Electrical Engineering (Other), Signal Processing
Journal Section
Research Article
Publication Date
May 31, 2026
Submission Date
June 19, 2025
Acceptance Date
October 21, 2025
Published in Issue
Year 2026 Volume: 28 Number: 83
APA
Karatay, S., & Arıkan, F. (2026). Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, 28(83), 284-295. https://doi.org/10.21205/deufmd.2026288314
AMA
1.Karatay S, Arıkan F. Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes. DEUFMD. 2026;28(83):284-295. doi:10.21205/deufmd.2026288314
Chicago
Karatay, Seçil, and Feza Arıkan. 2026. “Multi-Station GPS-TEC Analysis of Pre-Seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi 28 (83): 284-95. https://doi.org/10.21205/deufmd.2026288314.
EndNote
Karatay S, Arıkan F (May 1, 2026) Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 28 83 284–295.
IEEE
[1]S. Karatay and F. Arıkan, “Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes”, DEUFMD, vol. 28, no. 83, pp. 284–295, May 2026, doi: 10.21205/deufmd.2026288314.
ISNAD
Karatay, Seçil - Arıkan, Feza. “Multi-Station GPS-TEC Analysis of Pre-Seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi 28/83 (May 1, 2026): 284-295. https://doi.org/10.21205/deufmd.2026288314.
JAMA
1.Karatay S, Arıkan F. Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes. DEUFMD. 2026;28:284–295.
MLA
Karatay, Seçil, and Feza Arıkan. “Multi-Station GPS-TEC Analysis of Pre-Seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes”. Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen Ve Mühendislik Dergisi, vol. 28, no. 83, May 2026, pp. 284-95, doi:10.21205/deufmd.2026288314.
Vancouver
1.Seçil Karatay, Feza Arıkan. Multi-station GPS-TEC Analysis of Pre-seismic Ionospheric Anomalies: The 2023 Kahramanmaras Earthquakes. DEUFMD. 2026 May 1;28(83):284-95. doi:10.21205/deufmd.2026288314