Session Details
[S22P]PM-P
Tue. Oct 22, 2024 5:15 PM - 6:45 PM JST
Tue. Oct 22, 2024 8:15 AM - 9:45 AM UTC
Tue. Oct 22, 2024 8:15 AM - 9:45 AM UTC
Room P Main Hall (2F)
[S22P-01]Aftershock distribution of the 2024 Noto Peninsula earthquake based on the dense seismic observation
*Hidenobu TAKAHASHI1, Yasuhira Aoyagi1, Haruo Kimura1 (1. Central Research Institute of Electric Power Industry)
[S22P-02]Temporary high-density strong motion observation in Wajima city for the 2024 Noto Peninsula earthquake aftershocks
Tatsuo Kanno1, *Michiko Shigefuji1, Nobuo Takai2, Seiji Tsuno3, Hiroaki Yamanaka3, Masahiro Korenaga4, Hiroe Miyake5, Kaito Abe1, Naofumi Nakagawa2, Yutaro Aoi2, Ouma Fredrick2, Ozaslan Bilal3, Hiroki Matsuda3, Towa Ohno3 (1. Kyushu University, 2. Hokkaido University, 3. Tokyo Institute of Technology, 4. Railway Technical Research Institute, 5. Earthquake Research Institute of the University of Tokyo)
[S22P-03]3-D seismic velocity structure in the source region of the 2024 Noto Earthquake revealed by a dense aftershock observation
*Yasuhira AOYAGI1, Hidenobu TAKAHASHI1 (1. CRIEPI)
[S22P-04]Attenuation structure of Noto Peninsula by maximum amplitude using the JMA Catalog.
*Shutaro SEKINE1 (1. Association for Development of Earthquake Prediction)
[S22P-05]Moment tensor analysis for aftershocks of the 2024 Noto Peninsula Earthquake using shor-period records from ocean-bottom seismometers
*Takeshi Akuhara1, Masanao Shinohara1, Tomoaki Yamada1, Ryosuke Azuma2, Ryota Hino2, Koichiro Obana3, Tsutomu Takahashi3, Gou Fujie3, Shuichi Kodaira3, Yoshio Murai4, Hisatoshi Baba5, Yusuke Yamashita6, Hiroshi Yakiwara7 (1. Earthquake Research Institute, The University of Tokyo, 2. Tohoku University, 3. JAMSTEC, 4. Hokkaido University, 5. Tokai University, 6. Kyoto University, 7. Kagoshima University)
[S22P-06]The characterized source model of the 2024 Noto Peninsula earthquake using empirical Green’s function method
*Toshimi SATOH1, Atsushi OKAZAKI2 (1. Ohsaki Research Institute, 2. Kansai Electric Power Company)
[S22P-07]Source Model of the 2024 Noto Peninsula Earthquake Estimated from the Broadband Ground Motion Records
*Kazuhiro SOMEI1, Susumu Kurahashi2, Kunikazu Yoshida3, Ken Miyakoshi4 (1. Geo-Research Institute, 2. Aichi Institute of Technology, 3. Research Institute of Nuclear Engineering, University of Fukui, 4. Ohsaki Research Institute, Inc.)
[S22P-08]Source characterization and parameter estimation of the 2024 Noto Peninsula earthquake
*Yoshiaki SHIBA1 (1. Central Research Institute of Electric Power Industry)
[S22P-09]Source Model of the 2024 Noto Peninsula Earthquake by Envelope Inversion Using Synthetic Seismograms Generated from GIT and cGAN
*Yusuke TOMOZAWA1, Junki YAMAGUCHI1, Tomoki HIKITA1, Toshihide SAKA1 (1. Kajima Technical Research Institute)
[S22P-10]Broadband source model for the 2024 Noto Hanto, Japan, earthquake using empirical Green’s function method and waveform inversion analysis
*Shohei Yoshida1, Ken Miyakoshi1, Takao Kagawa2 (1. Ohsaki Research Institute, Inc., 2. Tottori Univ., Faculty of Engineering)
[S22P-11]Source fault model and strong ground motion of the 2024 Noto Earthquake estimated from prior and post information
*Kimie NORIMATSU1, Shinji Toda1 (1. IRIDeS, Tohoku Univ.)
[S22P-12]Comparison of ground motions at K-NET and KiK-net Togi stations due to the earthquakes around the Noto Peninsula
*Wataru Suzuki1, Hisahiko Kubo1, Takeshi Kimura1 (1. National Research Institute for Earth Science and Disaster Resilience)
[S22P-13]Damage due to liquefaction, etc. and ground amplification characteristics during the 2024 Noto Peninsula Earthquake
*Shigeki SENNA1 (1. NIED)
[S22P-14]Temporal changes in triggerability of the seismicity in the Northeastern Noto Peninsula associated with teleseismic earthquakes
*Ryo Matsuo1, Masatoshi Miyazawa1 (1. DPRI,Kyoto Univ)
[S22P-15]Aerial photo interpretation of building damage caused by the 2024 Noto Peninsula earthquake
*Naokazu Monma1, Hiromitsu Nakamura1, Shouhei Naito1, Hiroyuki Fujiwara1 (1. National Research Institute for Earth Science and Disaster Resilience)
[S22P-16]Survey of Building Damage Caused by Tsunami and Strong Ground Motions of the 2024 Noto Peninsula Earthquake
*Yoshiaki HISADA1, Ayaka Katano2, Masahiro Murakami1 (1. Kogakuin University, School of Architecture, 2. Kogakuin University, Graduate School)
[S22P-17]Response of the water layer to seismic waves in Toyama Bay during the Noto-Hanto earthquake on 1 January 2024
*Kirill Sementsov1, Yuichiro Tanioka1, Yusuke Yamanaka1, Sergey Kolesov2,3, Mikhail Nosov2,3 (1. Hokkaido University, Faculty of Science, Institute of Seismology and Volcanology, 2. M.V.Lomonosov Moscow State University, Faculty of Physics, 3. Institute of Marine Geology and Geophysics, Far Eastern Branch of Russian Academy of Sciences)
[S22P-18]Tsunami Time Series Data of 2024 Noto Peninsula Earthquake Extracted From Live Camera Images -Wajima Port and Toyama Bay
*Masaaki MINAMI1, Gen Aoki2, Hiroaki Tsushima1, Yutaka Hayashi1, Kenji Nakata1, Tatsuo Kuwayama2, Yasuyuki Yamada2, Tadashi Sasabe2, Kenshi Ohshima3 (1. Meteorological Research Institute, 2. Japan Meteorological Agency, 3. Japan Meteorological Agency, Sendai Regional Headquarters)
[S22P-19]Tsunami magnitude m of the 2024 Noto Peninsula earthquake tsunami based on field surveys
*Yuichi NAMEGAYA1, Kei Ioki1, Kentaro Imai2, Satoshi Kusumoto2, Yuchen Wang2, Hiroki Horikawa2, Masa'aki Murakami3 (1. AIST, 2. JAMSTEC, 3. Wakayama Prefecture)
