Stochastic Simulation of the 30 October 2020 Samos-Sigacik (Mw 6.9) Earthquake
Session: Numerical Modeling of Earthquake Motion, Rupture Dynamics, Seismic Noise, Wave Propagation and Inverse Problems II
Type: Oral
Date: 4/23/2021
Presentation Time: 02:45 PM Pacific
Description:
The stochastic finite fault simulation approach with a dynamic corner frequency has been commonly used to generate strong ground motions all over the world. In this paper, stochastic ground motion simulation has been performed and calibrated for the recordings of the 30 October 2020, Samos-Sigacik (in the Aegean Sea) Mw 6.9 earthquake at 14:51:24 GMT+3. The earthquake was felt in a wide region, caused fatalities, and resulted in the collapse of 17 buildings, and severely damaging to hundreds of structures. Soft basin sediments in Bayraklı, Bornova, and Karşıyaka districts increased losses by amplifying the seismic waves. Horizontal components of the recordings have been obtained as 36 stations from AFAD (https://tadas.afad.gov.tr/), 6 stations from KOERI (http://www.koeri.boun.edu.tr/sismo/2/data-request/), 2 stations from NOAIG (https://accelnet.gein.noa.gr/) and one station from ITSAK (http://www.itsak.gr/en/db/data/strong_motion/after2000/) networks between 23-114 km epicentral distances. Our main target is validating the source, path, and site parameters and creating a valid synthetic model database for the region. To simulate high-frequency ground motions, we have used the last modified version of the EXSIM12 stochastic finite fault ground motion simulation algorithm. The calibrated model parameters are obtained with the comparison of the generated ground motions to the observed ones in frequency domain. The recorded and simulated PGAs have also been compared with GMPEs by plotting their median and ± 1 standard deviation for GR and GS type soils. Besides, 5% damped horizontal acceleration spectra of the records and the synthetics have been compared with the latest and former Turkish Building Earthquake Regulations for a design earthquake of 475 years return period. Lastly, spatial distributions of the ground motion intensity parameters were obtained by using the calibrated model and compared with the results of previously obtained estimations by the ELER earthquake loss estimation routine.
Presenting Author: Nesrin Yenihayat
Student Presenter: Yes
Authors
Nesrin Yenihayat Presenting Author Corresponding Author yenihayat@live.nl Bogazici University |
Eser Çaktı eser.cakti@boun.edu.tr Bogazici University |
Karin Şeşetyan karin@boun.edu.tr Bogazici University |
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Stochastic Simulation of the 30 October 2020 Samos-Sigacik (Mw 6.9) Earthquake
Category
Numerical Modeling of Earthquake Motion, Rupture Dynamics, Seismic Noise and Wave Propagation