ERI Holds “DANWAKAI”, a monthly meeting where its members present their most recent academic and technical achievements, once a month on Friday of every month. DANWAKAI is open to the public.

Please refrain from secondary distribution of the URL to be provided. Due to copyright issues, recording of the video and audio distributed is strictly prohibited.

　　　　Date: 　Friday, April 18, 2025  13:30～(JST)

　　　　Place: ERI Bldg.1, 2nd floor, Seminar Room1

　　　　　　　Livestream Zoom Webinar

* The zoom URL and password required for participation will be provided on the day of the event to those who wish to attend.

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1. 13:30-13:45

TITLE: Report on the project to elucidate the diversity of geyser eruption intervals for understanding the periodicity of volcanic eruptions

AUTHOR: *Ayuta TSUGE and Mie ICHIHARA

2. 13:45-14:00

TITLE: Coseismic crustal seismic velocity changes associated with the 2024 MW 7.5 Noto earthquake, Japan

AUTHOR: Paris NICOLAS (Univ Grenoble Alpes), *Yuji ITOH, Florent BRENGUIER (Univ Grenoble Alpes), Qing-Yu WANG (Univ Grenoble Alpes, Now at Univ Strasbourg), Yixiao SHENG (USTC), Tomomi OKADA (Tohoku Univ), Naoki UCHIDA (Tohoku Univ, Now at ERI), Quentin HIGUERET (Univ Grenoble Alpes), Ryota TAKAGI (Tohoku Univ), Shin’ichi SAKAI, Satoshi HIRAHARA and Shuutoku KIMURA (Tohoku Univ)

SUMMARY: We estimated crustal seismic velocity change due to the coseismic slip of the 2024 Noto Earthquake using Hi-net and campaign seismic stations (Paper in press in EPS).

3. 14:00-14:15

TITLE: Magnitude Estimation via An Attention-based Machine Learning Model

AUTHOR: *Ji ZHANG･Aitaro KATO, Huiyu ZHU(Institute of Engineering Mechanics, China Earthquake Administration) and Wei WANG(Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences)

SUMMARY: We develop an Attention-based Machine Learning model for Magnitude Estimation (AMAG) tailored for real-time earthquake monitoring.

*Speaker