日本地球惑星科学連合2025年大会

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[E] 口頭発表

セッション記号 S (固体地球科学) » S-SS 地震学

[S-SS05] Advancements in Regional Seismic Networks: Operations, Applications, and Development

2025年5月29日(木) 10:45 〜 12:15 コンベンションホール (CH-A) (幕張メッセ国際会議場)

コンビーナ:坪井 誠司(海洋研究開発機構)、Liang Wen-Tzong(Institute of Earth Sciences, Academia Sinica)、竹内 希(東京大学地震研究所)、一瀬 建日(東京大学地震研究所)、座長:坪井 誠司(海洋研究開発機構)、一瀬 建日(東京大学地震研究所)

11:30 〜 11:45

[SSS05-10] Development and Maintenance of the Distributed Acoustic Sensing (DAS) Network

*Chin-Shang Ku1Kuo-Fong Ma1 (1.Institute of Earth Sciences, Academia Sinica, Taiwan)

キーワード:Distributed acoustic sensing, seismic network

A stable seismic network not only provides the critical data required for real-time earthquake detection but also plays a crucial role in aftershock analysis and source rupture studies following major earthquakes. As a result, seismic networks have always been fundamental and indispensable for earthquake monitoring. In recent years, Distributed Acoustic Sensing (DAS) has emerged as a vital tool in seismology. DAS measures strain or strain rate along the fiber optic cable by analyzing phase variations in Rayleigh backscattering at multiple points along the fiber. Compared to traditional seismometers, DAS offers high-resolution observational data with sensor spacing at the meter scale, significantly enhancing the precision of seismic monitoring. To improve active fault monitoring, the Institute of Earth Sciences, Academia Sinica (IESAS) and the Earthquake-Disaster & Risk Evaluation and Management Center, National Central University (E-DREaM) jointly launched the Milun fault Drilling and All-inclusive Sensing Project (MiDAS) in 2021. The project began installing downhole fiber optic cables in late 2021, and by mid-2022, the connection between surface and downhole fiber optics was completed, establishing a 3D DAS continuous observation network-a groundbreaking approach to seismic monitoring. However, compared to traditional seismic networks, DAS generates an enormous amount of data, posing significant challenges in real-time data transmission, archive, management, and subsequent data sharing.This study reviews the development and maintenance of the MiDAS DAS continuous observation network over the past few years and provides recommendations for future similar projects, aiming to further advance DAS applications in seismic monitoring.