Earthquake Epicenter Localization Using Fiber Optic Distributed Acoustic Sensing

Hasan Yetik, Mucahit Kavakli, Umut Uludag, Ali Eksim, Selcuk Paker

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

5 Atıf (Scopus)

Özet

This paper summarizes the results of our earthquake localization research, using distributed acoustic sensing (DAS) technology, with two 25 km long dark communication fiber optic cables close to North Anatolian Fault in the Sea of Marmara. In a previous study, we provided detection statistics for over 250 earthquakes, with analysis metrics such as distance to fiber and magnitude. In this paper, we extend these results to include P and S wave lag time-based epicenter distance estimation and localization based on trilateration and provide results on its accuracy, and comparison with data provided by Kandilli Observatory and Earthquake Research Institute-Regional Earthquake-Tsunami Monitoring Center (KOERI). Considering the advantages of the DAS-based seismic monitoring, such as abundant dark fibers that are already available for seismic monitoring, synchronous and distributed data capture capabilities and cost effectiveness, with no need for power supply in the field, DAS based seismic monitoring systems are promising new tools for both detection and epicenter estimation of earthquakes.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9789463968058
DOI'lar
Yayın durumuYayınlandı - 2022
Etkinlik3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022 - Gran Canaria, Spain
Süre: 30 May 20224 Haz 2022

Yayın serisi

Adı2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022

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???event.eventtypes.event.conference???3rd URSI Atlantic and Asia Pacific Radio Science Meeting, AT-AP-RASC 2022
Ülke/BölgeSpain
ŞehirGran Canaria
Periyot30/05/224/06/22

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Publisher Copyright:
© 2022 URSI.

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