日本地球惑星科学連合2021年大会

講演情報

[E] 口頭発表

セッション記号 U (ユニオン) » ユニオン

[U-12] From Hazard to Resilience

2021年6月4日(金) 15:30 〜 17:00 Ch.01 (Zoom会場01)

コンビーナ:平田 直(国立研究開発法人防災科学技術研究所)、田村 圭子(新潟大学 危機管理本部 危機管理室)、Matt Gerstenberger(GNS Science)、Schorlemmer Danijel(GFZ German Research Centre for Geosciences)、座長:平田 直(国立研究開発法人防災科学技術研究所)、Danijel Schorlemmer(GFZ German Research Centre for Geosciences)

16:15 〜 16:30

[U12-04] Capturing Detailed Strong Ground Motion in the Tokyo Metropolitan Area Integrating Data from Public and Private Sectors

★Invited Papers

*青井 真1、木村 武志1、上野 友岳2、先名 重樹1、東 宏樹3 (1.国立研究開発法人防災科学技術研究所、2.文部科学省、3.北条情報合同会社)

キーワード:詳細地震動把握、マルチデータインテグレーションシステム、MeSO-net、K-NET/KiK-net、MOWLAS

To accurately capture ground motion in the Tokyo metropolitan area, we have developed a multi-data integration system that combines a large amount of ground motion data gathered from nationwide strong-motion seismograph networks (K-NET and KiK-net); Metropolitan Seismic Observation network (MeSO-net), which covers the Tokyo metropolitan area with a high density of about 300 observation stations; observation equipment held by private companies; and smartphones. K-NET, KiK-net, and MeSO-net are operated by National Research Institute for Earth Science and Disaster Resilience. The seismic waveform data recorded by MeSO-net, which are based on borehole observations, are one of the most important data sets for this system. To ensure collection of the waveform data, we strengthened the data center functions and made the collected data available to the public. In addition, to estimate the ground motion at the surface, which is important for disaster prevention, from the waveform data of MeSO-net, we carried out temporary seismic and microtremor array observations on the ground surface at each MeSO-net borehole station, and estimated ground amplification characteristics and the S-wave velocity structure. We also developed a smartphone-based seismograph with the aim of realizing seismic observations for tens of thousands of sites in the future. We recruited monitors to deploy the smartphone seismometers in the Tokyo metropolitan area, and developed a function to notify monitors of the results of a rough evaluation of the soundness of buildings based on observation data acquired during an earthquake. Furthermore, we have developed a Tokyo metropolitan area version of the Kyoshin Monitor website, the Strong Motion Monitor service, with which the current ground motion in the Tokyo metropolitan area can be captured in real time by integrating and visualizing observation data from K-NET, KiK-net, and MeSO-net on a map on the website. We can capture the propagation of the ground motion in detail directly from the high-density data set integrated from these three networks. We verified the method by reproducing the ground motion in the Tokyo metropolitan area during the 2011 Tohoku earthquake. The study findings have made it clear that the ground motion in the Tokyo metropolitan area can be captured in more detail by the integration of data produced by the public and private sectors.