Session Details

[S15P]PM-P

Tue. Oct 31, 2023 5:00 PM - 6:30 PM JST
Tue. Oct 31, 2023 8:00 AM - 9:30 AM UTC
Room P2 (F205 and 6 side foyer) Hall Annex

[S15P-02]Relationship between surface earthquake fault and building damage in the 2023 Southeast Türkiye Earthquake

*Hiromitsu NAKAMURA1, Naokazu Monma1, Shohei NAITO1, Tetsuya YAMADA2, Rie SAKUMA2, Hiroyuki FUJIWARA1 (1. NIED, 2. PASCO)

[S15P-04]A study on slip model in shallow area based on earthquake surface fault rupture - case of strike slip type -

*Yasuhiro MATSUMOTO1, Ken MIYAKOSHI2, Tsutomu TAKAHAMA1, Naoto INOUE3, Kojiro IRIKURA2, Katsuhiro KAMAE4 (1. Kozo Keikaku Engineering Inc., 2. Aichi Institute of Technology, 3. GRI, 4. Institute for Integrated Radiation and Nuclear Science, Kyoto University)

[S15P-05]The short-period flat levels of acceleration source spectra for inland earthquakes and their variability in the scaling relationships

*Kazuhiro Somei1, Kunikazu Yoshida1, Ken Miyakoshi2, Katsuhiro Kamae3, Kojiro Irikura2 (1. Geo-Research Institute, 2. Aichi Institute of Technology, 3. Institute for Integrated Radiation and Nuclear Science, Kyoto University)

[S15P-09]Source process inversion method with local seismograms for the interplate earthquake along the Nankai trough

*Takahito NISHIMIYA1, Fuyuki Hirose1 (1. Japan Meteorological Agency, Meteorological Research Institute)

[S15P-10]Experiment on Early Prediction of Long-Period Earthquake Motions Based on Deep Learning (2) forecasting building shaking

*Takashi FURUMURA1, Yusuke Oishi2 (1. Earthquake Research Institute, The University of Tokyo, 2. Data-Driven Innovation Initiative, Kyushu University)

[S15P-11]An earthquake early warning algorithm using wave propagation directions estimated with a machine learning technique

*Yuki KODERA1 (1. Meteorological Research Institute, Japan Meteorological Agency)

[S15P-12]Real-time seismic intensity prediction using deep learning and synthetic data

*Anju Ohta1, Ahyi Kim1, Yukino Yazaki1, Hisahiko Kubo2, Masami Yamasaki1 (1. Yokohama City University, 2. NIED)

[S15P-13]Validation of site-specific seismic motions generated by combining cGAN and GIT

*Yusuke TOMOZAWA1, Junki YAMAGUCHI1, Toshihide SAKA1 (1. Kajima Technical Research Institute)

[S15P-14]Evaluating large-magnitude waveforms using site-specific ground motion generated by combining cGAN and GIT

*Junki Yamaguchi1, Yusuke Tomozawa1, Toshihide Saka1, Tomoki Hikita1 (1. Kajima Technical Research Institute)

[S15P-15]Construction of ground motion models using Bayesian neural networks

*Tomohisa OKAZAKI1, Nobuyuki Morikawa2, Hiroyuki Fujiwara2, Naonori Ueda1 (1. RIKEN Center for Advanced Intelligence Project, 2. National Research Institute for Earth Science and Disaster Resilience)

[S15P-16]Correction at Long Distances through Integration of Statistical Green's Function Method and Ground Motion Prediction Equations

*Takahiro MAEDA1, Hiromitsu Nakamura1, Hiroyuki Fujiwara1, Sho Akagi2, Kosuke Seki2 (1. NIED, 2. MESW)

[S15P-17]Relationships between the peak accelerations and static rotations of the S-net sensors in the Japan Trench area

*Yadab Prasad DHAKAL1, Takashi Kunugi1 (1. National Research Institute for Earth Science and Disaster Resilience)

[S15P-18]Characterization and Comparison Method of the Spatial Seismic Intensity Distributions Using Independent Component Analysis

*Takeshi KIMURA1, Wataru SUZUKI1, Hisahiko KUBO1, Sho AKAGI2, Rina SUZUKI2 (1. NIED, 2. MESW)

[S15P-19]Evaluation of the influence of Surface Topography on Earthquake Ground Motions

*Hidenori KAWABE1, Hiroto YAMAMOTO1 (1. Osaka University)