- 1Dionysos Satellite Observatory, School of Rural Surveying and Geoimformatics Engineering, National Technical University of Athens, Zografos, Greece (danastasiou@mail.ntua.gr)
- 2Nottingham Geospatial Institute, University of Nottingham, UK
Permanent GNSS stations providing high-rate data have become a well-established practice, offering valuable insights into co-seismic displacement and seismic wave propagation during earthquakes. This study focuses on the co-seismic displacements induced by the doublet of earthquakes with magnitudes Mw 7.8 and Mw 7.6 in south-eastern Turkey in February 2023. GNSS data of 1Hz were analyzed to assess both co-seismic and transient deformation in near and far-field.
The analysis includes 1 Hz GNSS data from over 41 continuously operating stations located near the earthquake sequence in southwest Turkey (<500km distance from epicentre), and an additional 54 far-field stations distributed across the Aegean Sea and mainland Greece in a distance of 500 to 1000km from the two earthquakes epicentre. The data are processed using the Precise Point Positioning (PPP) method with Ambiguity Resolution to estimate position time-series and displacement waveforms. The study investigates correlations between the seismic motion and the distance from the epicentre, identifying variations in parameters such as peak ground displacement (PGD) and spectral characteristics of seismic waves across different frequency bands and radial distances.
The results of this study reveal the relationships between seismic parameters and epicentral distance and provide insights into the interplay between static and dynamic interactions associated with large-magnitude seismic events.
The findings contribute to a deeper understanding of the widespread consequences of major earthquakes, extending beyond 1000 km from the epicentre, and support the refinement of seismic hazard assessment and mitigation strategies.
How to cite: Anastasiou, D., Psimoulis, P., Papanikolaou, X., and Tsakiri, M.: Near and far-field deformation from the 2023 Turkey earthquakes using GNSS Data , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-18416, https://doi.org/10.5194/egusphere-egu25-18416, 2025.