Akademik Veri Yönetim Sistemi
7th International Conference on Earthquake Engineering and Seismology-ICEES, Antalya, Türkiye, 6 - 10 Kasım 2023, cilt.401, ss.55-69, (Tam Metin Bildiri)
The Western Anatolia and Aegean Region, renowned for its history of potent earthquakes, necessitates a specialized seismic velocity model for precise hazard assessments. This research leverages DEUNET Seismological Observation Network data to establish a region-specific velocity model. Fifteen teleseismic earthquakes (2019 to January 2023) were carefully selected, ranging from magnitudes 7.58.2, based on signal-to-noise ratios exceeding three. Epicentral distances spanned 30 degrees to 90 degrees. Station noise analysis involved choosing suitable earthquakes for spectral assessment. Steps included instrument response-based restitution and horizontal-toradial/tangential component transformation (SAC software). Z components largely reflected direct P phases, while R components dominated Ps phases. ZRT to LQT rotation enabled Ps and P wave separation. The focus lay on P-SV-SH wave phases. L components conveyed strong P wave signals, while Q and T components featured converted S wave energy. Deconvolution effectively removed source and ray path contributions from L component P wave signals. The inversion performed subsequently determined the subsurface S-wave velocity structure based on depth. The station with the lowest signal-to-noise ratio, Cesme, emerged from noise analysis. Receiver function analysis determined crust-mantle boundaries for DEUNET stations, indicating depths between 13 and 39 km.