Abstract

In this study, the relationships between possible ionospheric total electron content (TEC) anomalies and earthquake focal depths and fault types were investigated using 3,099 global earthquakes with Mw6.0 between 2000 and 2020. The relationship between the ionospheric TEC changes and earthquakes has been previously discussed in the literature. However, very few studies have examined the relationship between the focal depths and the fault types of these earthquakes. In general, three indices, namely the disturbance storm-time index (Dst), the planetary geomagnetic activity index (Kp), and the solar flux (F10.7), are used to characterize the space weather conditions (SWC) that affect TEC anomalies and to identify the active/quiet days for future earthquakes. In this study, 13 different indices were used: indices that measured solar activity included proton flux (Pf) at six different energy levels, F10.7, and extreme ultraviolet (EUV0.150  nm and EUV2634  nm). Meanwhile, geomagnetic storm indices included Dst, Kp, the z-component of the magnetic field index (Bz), and proton density (Pd). By using the ionospheric TEC values derived from global ionosphere maps (GIM-TEC), both negative and positive ionospheric TEC anomalies were observed for 15 days before and 4 days after the earthquakes using a statistical analysis technique that involved a 15-day moving median. The earthquakes were grouped according to their fault types (normal, thrust, and strike-slip) and focal depths (shallow, intermediate, and deep). Their relationships with the negative and positive TEC anomalies in the quiet days before the earthquake were examined. Negative and positive anomalies were observed approximately 3–12 days before earthquakes that occurred on normal faults, approximately 5–8 days before earthquakes that occurred on thrust faults, and approximately 1–12 days before earthquakes that occurred on strike-slip faults. The average TEC anomaly changes were calculated to be 43.4% total electron content unit (TECU) for normal faults, 44.8% TECU for thrust faults, and 41.3% TECU for strike-slip faults. Positive anomaly values were exhibited by larger earthquakes on normal and thrust faults, whereas negative anomaly values tended to occur on strike-slip faults. Negative and positive TEC anomalies were detected around 3–12 days before shallow earthquakes, around 1–13 days before intermediate-depth earthquakes, and around 1–12 days before deep earthquakes. The average TEC anomaly changes were calculated to be 44.4% TECU for shallow earthquakes, 43.3% TECU for intermediate-depth earthquakes, and 42.6% TECU for deep earthquakes. Positive anomaly values were also found to be higher than the negative anomaly values in each group. We propose that there is a relationship between the ionospheric TEC anomalies that occur before large earthquakes and their fault types and focal depths.

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Data Availability Statement

Some data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request. The data regarding the analyzes in other figures and tables of the study cannot be shared without the special permission of TUBITAK, which is the supporter of this research. Some data, models, or code used during the study were provided by a third party. Direct requests for these materials may be made to the provider as indicated in the Acknowledgements. Earthquake database from USGS: https://earthquake.usgs.gov/earthquakes/search/; the geomagnetic storm, magnetic field variations, and solar activity index values from NASA/GSFC’s Space Physics Data Facility’s OMNIWeb Service: https://omniweb.gsfc.nasa.gov/form/dx1.html; extreme ultraviolet indices from the University of Southern California Space Sciences Center and Department of Physics and Astronomy research center web interface: https://dornsife.usc.edu/space-sciences-center/download-sem-data/; ionospheric TEC variations in IONEX format from Crustal Dynamics Data and Information System data and products archive: https://cddis.nasa.gov/archive/gnss/products/ionex/.

Acknowledgments

The authors would like to thank the CDDIS (Crustal Dynamics Data and Information System) for providing the IONEX files, NASA/GSFC for providing the OMNIWeb (or CDAWeb or FTP) service of Space Physics Data Facility and OMNI data, and the University of Southern California Space Sciences Center and Department of Physics and Astronomy Research Center for providing EUV indices. The authors express special thanks to TUBITAK, Environment, Atmosphere, Earth, and Marine Science Research Support Group (CAYDAG), for supporting the project with Grant No. 116Y109.

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Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 148Issue 3August 2022

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Received: Feb 17, 2021
Accepted: Dec 9, 2021
Published online: Mar 16, 2022
Published in print: Aug 1, 2022
Discussion open until: Aug 16, 2022

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Associate Professor, Engineering Faculty, Dept. of Geomatics Engineering, Harran Univ., 63300 Şanlıurfa, Turkey (corresponding author). ORCID: https://orcid.org/0000-0003-2092-3075. Email: [email protected]
Mualla Yalçınkaya [email protected]
Professor, Engineering Faculty, Dept. of Geomatics Engineering, Karadeniz Technical Univ., 61080 Trabzon, Turkey. Email: [email protected]
Associate Professor, Engineering Faculty, Dept. of Geomatics Engineering, Karadeniz Technical Univ., 61080 Trabzon, Turkey. ORCID: https://orcid.org/0000-0001-8259-5543. Email: [email protected]
Professor, Faculty of Engineering and Natural Sciences, Dept. of Geophysics Engineering, Gümüşhane Univ., 29100 Gümüşhane, Turkey. ORCID: https://orcid.org/0000-0003-1322-5164. Email: [email protected]
Raif Kandemir [email protected]
Professor, Faculty of Engineering and Architecture, Dept. of Geology Engineering, Recep Tayyip Erdoğan Univ., 53100 Rize, Turkey. Email: [email protected]
Hakan Karslı [email protected]
Professor, Engineering Faculty, Dept. of Geophysics Engineering, Karadeniz Technical Univ., 61080 Trabzon, Turkey. Email: [email protected]

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