Presentation No |
Title |
Presenter |
U15-P01
|
The 2024 Noto Peninsula Earthquake -Seismicity and Earthquake/Tsunami Information issued by JMA-
|
Shigeki Aoki
|
U15-P02
|
Seismic activity of the 2024 Noto Peninsula Earthquake from December 2020, including the M7.6 earthquake on January 1, 2024.
|
Kazuhiro IWAKIRI
|
U15-P03
|
2024 Noto earthquake and earthquake swarm
|
Yuzo Ishikawa
|
U15-P04
|
Spatio-temporal variation of pore fluid pressure using focal mechanism solutions in Noto Peninsula, Japan
|
Akane Yamamoto
|
U15-P05
|
Evaluation of favorable to slip of the fault – in the case of the 2024 Noto Peninsula Earthquake
|
Ayaka Tagami
|
U15-P06
|
Centroid moment tensor analysis for aftershocks of the 2024 Noto Peninsula earthquake (Mw7.5) using a 3-D seismic velocity structure model
|
Lina Yamaya
|
U15-P07
|
Shear strain energy changes and aftershocks of the 2024 Noto Peninsula earthquake
|
Sachiko Tanaka
|
U15-P08
|
Seismic velocity structure along the source fault of the 2024 Noto Peninsula Earthquake and aftershock distribution compared with the fault model
|
Makoto MATSUBARA
|
U15-P09
|
Fault geometries of the 2024 Noto Peninsula earthquake estimated by hypocenter clustering
|
Yasunori Sawaki
|
U15-P10
|
Fault configuration of the 2024 Noto earthquake (Mw = 7.5) as deduced from hypocenters and focal mechanism solutions with finite mixture modeling
|
Haruo Horikawa
|
U15-P100
|
Analysis on Characteristics of Slope Failures induced by the 2024 Noto Peninsula Earthquake
|
Yutaka GONDA
|
U15-P101
|
3D modeling using UAV-SfM and mobile LiDAR of landslides caused by 2024 Noto Peninsula earthquake -Preliminary report on topographic and geological characteristics-
|
Masato Sato
|
U15-P102
|
Rock and relief control on the landslide events triggered by 2024 Noto peninsula earthquake and their impact on drainage system development, a tentative report
|
Toshihiko Sugai
|
U15-P103
|
Inventory map production of the 2024 Noto Peninsula Earthquake-caused landslides in and around Machinomachi, Wajima City and their geomorphological characteristics
|
Hiroshi, P. Sato
|
U15-P104
|
Liquefaction distribution and characteristics during the 2024 Noto Peninsula Earthquake
|
Shigeki Senna
|
U15-P105
|
Liquefaction Damage in Uchinada Town and Kahoku City
|
Ryu Saito
|
U15-P106
|
Relationship with geological structures and distribution of surface deformations related to liquefaction in Uchinada Town induced by the 2024 Noto Peninsula Earthquake
|
Yuki Hara
|
U15-P107
|
Mapping of liquefied sites in central Ishikawa, Toyama, and Niigata prefectures caused by the 2024 Noto Peninsula earthquake
|
Masafumi Aoyama
|
U15-P108
|
Liquefaction damage in the Niigata City area due to the 2024 Noto Peninsula Earthquake
|
Atsushi Urabe
|
U15-P109
|
Features of sand volcano caused by the 2024 Noto Peninsula earthquake: preliminary descriptions of the sediments erupted from land cracks in a dry field, Niigata, Japan
|
Yasuhiro Takashimizu
|
U15-P11
|
Generation Process of the 2024 Mw7.5 Noto Peninsula earthquake Inferred from Microearthquake Migration that Continued for a Few Years on the Fault
|
Keisuke Yoshida
|
U15-P110
|
Estimation of Building Damage from 2024 Noto Peninsula Earthquake Based on Multi-Wavelength Interferometric SAR Analysis
|
Kenichi Honda
|
U15-P111
|
Building Damage Survey Around Strong-Motion Observation Points in the 2024 Noto Peninsula Earthquake and Prototype Development of Damage Database
|
Shohei Naito
|
U15-P112
|
Complex damages associated with 2024 Noto Peninsula Earthquake in Itoigawa City, Niigata Prefecture.
|
Takuma Katori
|
U15-P113
|
How we could or could not catch the risk of Noto Peninsula Earthquake
|
Takuya Kawanishi
|
U15-P114
|
Earthquake prediction such as 2024 Noto Peninsula Earthquake
|
Takao Saruwatari
|
U15-P12
|
Relocations and uncertainty quantifications of earthquake hypocenters in and around the source area of the 2024 Mj 7.6 Noto Peninsula earthquake, Japan
|
Takahiro Shiina
|
U15-P13
|
Relationship between the preceding earthquake swarm and the 2024 Mw7.5 Noto Peninsula earthquake inferred from a detailed three-dimensional S-wave velocity structure
|
Ryota Takagi
|
U15-P14
|
Hypocenter distribution of the Noto Peninsular Earthquake by a hypocenter location method using multiple template earthquakes (hypoTD)
|
Shigeki Horiuchi
|
U15-P15
|
Velocity Structure for hypocenter locating --Aftershock distribution of the 2024 Noto Peninsula Earthquake--
|
Akio Katsumata
|
U15-P16
|
Spatio-Temporal Distribution of Repeating Earthquakes in the Noto Peninsula Earthquake Swarm
|
Maki Komatsu
|
U15-P17
|
Relation between earthquake swarm activity and tides in the Noto region, Ishikawa Prefecture: From January 1, 2023 to January 1 2024, M7.6
|
Fuyuki Hirose
|
U15-P18
|
Seismic activity off Joetsu, Niigata Prefecture, Japan, from Dec. 2008 to Oct. 2009 using long-term ocean bottom seismometers (OBSs)
|
Yuya Machida
|
U15-P19
|
Fiber-optic strain observation near the epicenter of the Jan. 1, 2024 Noto Peninsula earthquake.
|
Eiichiro Araki
|
U15-P20
|
Source Rupture Process of the 2024 Noto Hanto Earthquake by Waveform Inversion of Strong Motion Records
|
Kimiyuki Asano
|
U15-P21
|
Source process analysis of the 2024 Noto peninsula earthquake using near-field strong motion waveforms
|
Kazuhito Hikima
|
U15-P22
|
Fault Model of the 2024 Noto Earthquake Estimated Using Aftershock, GNSS, and Tsunami Data
|
Ayumu Mizutani
|
U15-P23
|
The source process inversion of the 2024 Noto Peninsula Earthquake on various fault plane models with local seismograms
|
Takahito Nishimiya
|
U15-P24
|
Seismic-wave Radiation Process of the 2024 Noto Peninsula Earthquake from Multi-frequency Teleseismic P-wave Back-projection
|
Kotaro Tarumi
|
U15-P25
|
Source Process of the 2024 Noto Peninsula Earthquake Estimated Using the Back Projection Method
|
Ryou Honda
|
U15-P26
|
Back-projection analysis of 2024 Mw7.6 Noto Peninsula earthquake by using AN-net array: Possibility of supershear rupture on dip-slip faults
|
Kazutoshi Imanishi
|
U15-P27
|
Estimation of source rupture process of the 2024 Noto-hanto earthquake sequence focusing on rupture propagation complexity
|
Susumu Kurahashi
|
U15-P28
|
Characterized source model for evaluating long-period (more than 2s-) ground motions during the 2024 Noto Peninsula Earthquake (Mj7.6)
|
Yasuhiro Matsumoto
|
U15-P29
|
Seismic array analysis of strong ground motions from the 2024 Noto Peninsula earthquake recorded by the AN-net
|
Hisashi Nakahara
|
U15-P30
|
Three-dimensional Attenuation Structure in the Noto Peninsula, Japan
|
Motoko Ishise
|
U15-P31
|
Source inversion using empirical Green’s functions for the 2024 Noto Peninsula earthquake
|
Yoshiaki Shiba
|
U15-P32
|
Strong Motion Generation Areas for the 2024 Noto Peninsula Earthquake Estimated based on the Empirical Green’s Function Method
|
Kazuhiro Somei
|
U15-P33
|
Waveform inversion with empirical Green's functions for the rupture process of the Noto Peninsula earthquake
|
Atsushi Nozu
|
U15-P34
|
Source process on variable-dip faults of the 2024 Noto Peninsula earthquake (MJ 7.6) inverted from strong-motion records
|
Yujia Guo
|
U15-P35
|
Estimation of the Strong Motion Generation Areas of the 2024 Noto Peninsula Earthquake based on Envelope Inversion
|
Yusuke Tomozawa
|
U15-P36
|
Source process of the 2024 Noto Peninsula earthquake derived from strong motion data
|
Hisahiko Kubo
|
U15-P37
|
Spatial characteristics of long-period ground motions caused by the 2024 Noto Peninsula earthquake
|
Hisahiko Kubo
|
U15-P38
|
Long-period ground motion characteristics of the 2024 Noto Peninsula Earthquake observed by CEORKA network
|
Takashi Akazawa
|
U15-P39
|
On the Attenuation Characteristics of Strong Ground Motions during the 2024 Noto Peninsula Earthquake
|
Toshimitsu Nishimura
|
U15-P40
|
Attenuation Characteristics of Strong Ground Motions due to the 2024 Noto Peninsula Earthquake
|
Tomonori Ikeura
|
U15-P41
|
Comparison of observed PGVs during the 2024 Noto Peninsula earthquake and the 1999 Chichi, Taiwan, earthquake
|
Hongjun Si
|
U15-P42
|
Aftershock observation and site amplification factors at the port area of Wajima and Suzu cities
|
Yosuke Nagasaka
|
U15-P43
|
Characteristics of seismic intensity distribution of "The 2024 Noto Peninsula Earthquake"
|
Kazumasa Kayano
|
U15-P44
|
Utilization of Earthquake Early Warnings for the earthquake (M7.6) with an epicenter in the Noto region of Ishikawa Prefecture that occurred at 16:10 on January 1, 2024
|
Yuuka Sakai
|
U15-P45
|
Early forecast of ground shaking caused by aftershocks of the 2024 Noto Peninsula Earthquake
|
Kaoru Sawazaki
|
U15-P46
|
Marine Earth Science Studies on the 2024 Noto Earthquake (M7.6) by R/V Hakuho-maru
|
Jin-Oh Park
|
U15-P47
|
Seismic Reflection Images of Tsunamigenic Fault in the 2024 Noto Earthquake (M7.6) Rupture Area
|
Jin-Oh Park
|
U15-P48
|
Quick response survey cruises for the 2024 Noto Peninsula Earthquake by R/V Hakuho-maru (KH-24-JE01 and KH-24-JE02C)
|
Koichiro Obana
|
U15-P49
|
Marine Earth Science Studies on the 2024 Noto Peninsula Earthquake by R/V Hakuho-maru and geoparks around the research area
|
Atsushi Matsuoka
|
U15-P50
|
Characterization of crustal structure of Noto peninsula and source fault models constructed before the 2024 Noto peninsula earthquake.
|
Hiroshi Sato
|
U15-P51
|
Crustal structure in and around the eastern edge of hypocentral region of the 2024 Noto Peninsula earthquake based on the existing seismic survey data
|
Tetsuo No
|
U15-P52
|
Shear wave splitting and seismic velocity structure in the focal area of the 2024 M7.6 Noto Peninsula earthquake, central Japan
|
Tomomi Okada
|
U15-P53
|
Variations of the leading shear-wave polarization directions caused by the 2024 Noto Peninsula Earthquake
|
Osamu Murakami
|
U15-P54
|
Seismogenic structure and fluids in the 2024 M7.6 Noto-Hanto earthquake area
|
Motoya Suzuki
|
U15-P55
|
Continuous observation of electromagnetic fields around the seismic swarm region in the northeastern Noto Peninsula
|
Ryokei Yoshimura
|
U15-P56
|
Three-dimensional resistivity structure around the 2024 Noto Peninsula Earthquake
|
Ryokei Yoshimura
|
U15-P57
|
Temporal changes in the geomagnetic transfer functions during the earthquake swarms in Noto Peninsula
|
Jun Kawai
|
U15-P58
|
Geochemical observation research of material cycles beneath the northeastern Noto Peninsula from 2022
|
Takanori Kagoshima
|
U15-P59
|
On the causality of fluid for the series of earthquakes in Noto peninsula
|
Takaaki Kawahito
|
U15-P60
|
Preliminary report : Changes in groundwater in Toyama before and after the 2024 Noto Peninsula Earthquake : Effects on groundwater as a nutrient source to the coastal area
|
Hirota KATSUDA
|
U15-P61
|
2024 Noto Peninsla Earthquake as an on-going Geologic Process
|
Nobuaki Niitsuma
|
U15-P62
|
Crustal deformation of the 2024 Noto Peninsula Earthquake observed at GEONET Stations
|
Shinya Yamada
|
U15-P63
|
Rapid estimation of coseismic crustal deformation and fault model associated with the 2024 Noto Peninsula earthquake using REGARD
|
Naofumi Takamatsu
|
U15-P64
|
Space-time evolution of fault slip synchronized with earthquake swarms in the Noto Peninsula observed by dense GNSS networks
|
Atsushige Doi
|
U15-P65
|
Relationship between the coseismic slip distribution and its assumed fault geometry in the 2024 Noto Peninsula earthquake derived from very dense geodetic observation data
|
Taisuke Yamada
|
U15-P66
|
Coseismic displacement at GEONET sites due to the 2024 Noto Peninsula Earthquake in JISLaD (Japanese Information System of Land Deformation)
|
Seiichi Shimada
|
U15-P67
|
Effects of possible three-dimensional heterogeneity on future postseismic deformation of the 2024 Noto Peninsula Earthquake
|
Miku Ohtate
|
U15-P68
|
The 2024 Noto Peninsula Earthquake Tsunami Recorded by Strainmeters
|
Satoshi Miura
|
U15-P69
|
Comparative Investigation of Tsunami Source Models for the 2024 Noto Peninsula Earthquake Based on Comprehensive Seabed Survey Data
|
Taro Arikawa
|
U15-P70
|
Estimation of the tsunami sources for the earthquake in Noto peninsula on January 1,2024 and Consideration using monitoring data at Power plant
|
Keisuke Futagi
|
U15-P71
|
Preliminary investigation of Flooded area in Hegura Island, Wajima City, by the R6 Noto Peninsula Earthquake Tsunami
|
Keisuke Futagi
|
U15-P72
|
Sedimentological and micropaleontological characteristics of tsunami deposits associated with the 2024 Noto Peninsula earthquake
|
Yumi Shimada
|
U15-P73
|
Tsunami deposits formed in Suzu City and Noto Town by the 2024 Noto Peninsula earthquake
|
Masaki Yamada
|
U15-P74
|
Tsunami Measured on the Toyama Bay Coast Caused by the 2024 Noto Peninsula Earthquake
|
Yutaka Hayashi
|
U15-P75
|
Sensitivity Analysis for the Tsunami Source Explaining Tsunami Height along the Niigata Coast during the 2024 Noto Peninsula Earthquake
|
Kentaro Imai
|
U15-P76
|
Field surveys of the 2024 Noto Peninsula earthquake tsunami from Sakata, Yamagata prefecture to Matsue, Shimane prefecture
|
Yuichi Namegaya
|
U15-P77
|
What do we know from traveling ionospheric disturbances triggered by the 2024 Noto earthquake measured with two dense GNSS observation networks in Japan?
|
Atsuki Shinbori
|
U15-P78
|
Changes of gravity and atmospheric pressure observed at Matsushiro immediately after the occurrence of the 2024 Noto Peninsula earthquake
|
Yuichi Imanishi
|
U15-P79
|
Infrasound Network Analysis of Nationwide Pressure Fluctuations Observed after the 2024 Noto Peninsula Earthquake and Estimation of Tsunami Magnitude
|
Yasuhiro Nishikawa
|
U15-P80
|
Distribution of uplifted amount along the coastline associated with the 2024 Noto earthquake
|
Hideaki Goto
|
U15-P81
|
Co-seismic uplift along the coastal area of Noto peninsula, central Japan, caused by the 2024 Noto Peninsula Earthquake
|
Wataru Kobayashi
|
U15-P82
|
The maximum coastal uplift associated with the 2024 Mw 7.5 Noto Peninsula earthquake, central Japan, as revealed by abandoned sessile organisms on rocky coasts
|
Heitaro Kaneda
|
U15-P83
|
Survey of coastal uplift associated with the 2023 and 2024 Noto Peninsula earthquakes based on the height distribution of emerged sessile assemblage
|
Ryo Tateishi
|
U15-P84
|
Earthquake and tsunami traces in seafloor sediment around Noto Peninsula
|
Takuya Sagawa
|
U15-P85
|
Sediment core samples possibly record 2024 Noto Peninsula Earthquake and past large earthquakes along the Toyama Deep-sea Channel
|
Rina Fukuchi
|
U15-P86
|
Sediment transport to Toyama Deep-sea Channel related to the 2024 Noto Peninsula Earthquake
|
Shimpei Ohtsuka
|
U15-P87
|
Topographic change in the seafloor off the northeast coast of Noto Peninsula due to the 2024 earthquake
|
Tatsuhiko Taniguchi
|
U15-P88
|
Acoustic Anomalies in Seawater off the Coast of Noto Peninsula
|
Hironori Otsuka
|
U15-P89
|
"Underwater drone" exploration of a submarine slide caused by the 2024 Noto Peninsula Earthquake in the Toyama Bay, northern Central Japan
|
Kanata Umino
|
U15-P90
|
Detection of submarine landslides in Toyama Bay and east of the Noto Peninsula using repeated multibeam surveys
|
Hiroki Minami
|
U15-P91
|
Investigation of topographic changes associated with the 2024 Noto Peninsula earthquake using affordable mobile LiDAR and CLAS-GNSS
|
Yoshiya Iwasa
|
U15-P92
|
Surface Deformation in Suzu City and Northern Shika Town, Japan, associated with the 2024 Noto Peninsula Earthquake
|
Masayuki Yoshimi
|
U15-P93
|
Field observations of surface deformation appearing along the Wakayama River in Suzu City and its western extension following the 2024 Noto Peninsula Earthquake
|
Yoshiki Shirahama
|
U15-P94
|
Ground displacement caused by the 2024 Noto Peninsula Earthquake and its characteristics: Analysis using aerial laser survey data before and after the earthquake
|
Hisashi Sasaki
|
U15-P95
|
Estimation of ground surface displacements caused by 2024 Noto Peninsula earthquake, using differential LiDAR DEM analysis
|
Sakae Mukoyama
|
U15-P96
|
Detection of distribution of deformation around surface rupture in Wakayamamachi, Suzu caused by the 2024 Noto Peninsula Earthquake and the 2023 Noto Earthquake using SAR data
|
Jun Sugimoto
|
U15-P97
|
Active structure investigation for elucidating the paleoseismicity in the northeastern part of the Noto Peninsula
|
Ken-ichi Yasue
|
U15-P98
|
Analysis of the slope failure induced by the 2024 Noto Peninsula Earthquake based on geological classification and slope direction
|
Tomoya Abe
|
U15-P99
|
Slope disasters caused by 2024 Noto Peninsula Earthquake in the Machino District in Wajima City, central Japan
|
Hiromu Daimaru
|