Evidence of extensional and strike-slip deformation in the offshore Gökova-Kos area affected by the July 2017 Mw6.6 Bodrum-Kos earthquake, eastern Aegean Sea

2018 ◽  
Vol 38 (3) ◽  
pp. 211-225 ◽  
Author(s):  
Neslihan Ocakoğlu ◽  
Paraskevi Nomikou ◽  
Yeliz İşcan ◽  
Maria Filomena Loreto ◽  
Danai Lampridou
Crustaceana ◽  
2005 ◽  
Vol 78 (10) ◽  
pp. 1265-1267 ◽  
Author(s):  
A. Suat Ateş ◽  
Ali İşmen ◽  
Uğur Özekinci ◽  
C. Çiğdem Erdemir Yiğin

2017 ◽  
Vol 4 (2) ◽  
pp. 139-156
Author(s):  
Engin Meriç ◽  
Niyazi Avşar ◽  
M. Baki Yokeş ◽  
Fuat Şaroğlu ◽  
Erdoğan Ölmez ◽  
...  

2021 ◽  
Author(s):  
Aybige Akinci ◽  
Daniele Cheloni ◽  
AHMET ANIL DINDAR

Abstract On 30 October 2020 a MW 7.0 earthquake occurred in the eastern Aegean Sea, between the Greek island of Samos and Turkey’s Aegean coast, causing considerable seismic damage and deaths, especially in the Turkish city of Izmir, approximately 70 km from the epicenter. In this study, we provide a detailed description of the Samos earthquake, starting from the fault rupture to the ground motion characteristics. We first use Interferometric Synthetic Aperture Radar (InSAR) and Global Positioning System (GPS) data to constrain the source mechanisms. Then, we utilize this information to analyze the ground motion characteristics of the mainshock in terms of peak ground acceleration (PGA), peak ground velocity (PGV), and spectral pseudo-accelerations. Modelling of geodetic data shows that the Samos earthquake ruptured a NNE-dipping normal fault located offshore north of Samos, with up to 2.5-3 m of slip and an estimated geodetic moment of 3.3 ⨯ 1019 Nm (MW 7.0). Although low PGA were induced by the earthquake, the ground shaking was strongly amplified in Izmir throughout the alluvial sediments. Structural damage observed in Izmir reveals the potential of seismic risk due to the local site effects. To better understand the earthquake characteristics, we generated and compared stochastic strong ground motions with the observed ground motion parameters as well as the ground motion prediction equations (GMPEs), exploring also the efficacy of the region-specific parameters which may be improved to better predict the expected ground shaking from future large earthquakes in the region.


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