Special issue on marine geology around Tokara Islands in Kagoshima Prefecture: result of marine geological mapping survey cruse in 2020

Inoue, Takahiko; Amano, Atsuko; Itaki, Takuya

doi:10.9795/bullgsj.73.5-6_193

Cited by 2 publications

(4 citation statements)

References 5 publications

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“…The F43 fault (Case #1), which was projected for the governmental tsunami hazard assessment (MLIT, 2014), mimicked the Saruyama-oki, Wajima-oki, and Suzu-oki segments, as reported by Inoue and Okamura (2010). Shishikura et al (2020) identi ed three marine terraces (L1-L3) on the northern coast of the peninsula formed in the last 6,000 years, suggesting past coseismic uplift; however, their formation ages are uncertain.…”

Section: Relevant Past Eventsmentioning

confidence: 95%

“…2a and Movie S1). This region has been evaluated for tsunami hazards from active submarine faults based on paleoseismological studies both onshore and offshore (e.g., Inoue and Okamura, 2010;Shishikura et al, 2020;Takashimizu et al, 2020).…”

Section: Relevant Past Eventsmentioning

confidence: 99%

“…Three fault models (Cases #1, #2 and #3) were tested to compare tsunami waveforms and inundation areas (Table 1). In Case #1, fault model F43 (Mw 7.57) comprised two southeastward-dipping reverse faults (MLIT, 2014), with their locations and dimensions determined from sea oor observations (Inoue and Okamura, 2010). Although not directly related to the 2024 earthquake, F43 exhibited similarities, such as proximity to the mainshock hypocenter and dimensions resembling aftershock distributions.…”

Section: Seismic Tsunami Source Modelsmentioning

confidence: 99%

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Modeling the 2024 Noto Peninsula earthquake tsunami: implications for tsunami sources in the eastern margin of the Japan Sea

Masuda,

Sugawara,

Cheng

et al. 2024

Preprint

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A moment magnitude (Mw) 7.5 earthquake occurred on January 1, 2024, at the northern tip of the Noto Peninsula, Central Japan, triggering a large tsunami. Seismological and geodetic observations revealed the rupture of mapped submarine active faults. While proximal segment ruptures were well resolved by existing researches, distal segments posed challenges for onshore tsunami observations, prompting the need for a comprehensive study on wave sources. We aimed to examine tsunami propagation and inundation using three different fault models to identify the general characteristics of the tsunami source and evaluate the complexities of earthquake and submarine landslide-induced tsunamis. The study identified the simultaneous rupture of two active fault systems as the most suitable model for explaining observed tsunami height and inundation; however, some inconsistencies with observations remain. The propagation process did not follow a concentric pattern but aligned with bathymetric heterogeneity. The findings also suggested potential amplification effects responsible for Iida Bay’s coast devastation and indicated a possible submarine landslide in southern Toyama Bay. The findings of the present work will benefit the exploration of a more realistic tsunami source model, considering the differences between observations and simulations. Such efforts, in collaboration with paleotsunami research, will contribute to the improved assessment of hazards from submarine active faults.

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Section: Relevant Past Eventsmentioning

confidence: 95%

Section: Relevant Past Eventsmentioning

confidence: 99%

Section: Seismic Tsunami Source Modelsmentioning

confidence: 99%

See 1 more Smart Citation

Modeling the 2024 Noto Peninsula earthquake tsunami: implications for tsunami sources in the eastern margin of the Japan Sea

Masuda,

Sugawara,

Cheng

et al. 2024

Preprint

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“…To investigate a regional bias of the residuals on each station, the geographic distribution of the geometric mean residuals is shown in Fig. 9, along with the sea oor geology (Inoue and Honza 1983). Dhakal et al (2023) obtained the site ampli cation factor for the S-net stations from the spectral inversion technique.…”

Section: Residual Analysis For Site Effectsmentioning

confidence: 99%

Development of a simple offshore ground motion prediction equation based on S-net data and residual analysis to reveal site effects

Nakanishi,

Takemura

2023

Preprint

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Ground motion prediction equations (GMPEs) in offshore regions are important for evaluating the durability of subsea structures and tsunami risk associated with seafloor slope failures. Since the ground conditions differ between onshore and offshore areas, it is desirable to develop a GMPE specific to the seafloor. Previous models have some problems, such as the influence of buried observation equipment and whether physical property that substitutes for seafloor conditions can take site effects. In this study, to predict the distribution of seafloor seismic acceleration, a new GMPE was regressed on the peak ground acceleration (PGA) data of S-net using minimum necessary seismic parameters as explanatory variables. The obtained model was compared with conventional onshore and offshore GMPEs and successfully predicted PGA with smaller errors. The residuals between the observed and predicted PGA were used to examine the factors responsible for the site effect of the S-net sites. The areas overestimated by GMPE correspond to areas where semi-to-consolidated sediments are exposed and do not correlate with sediment thickness obtained from seismic reflection surveys. The new GMPE can obtain PGA within 300 km of the epicenter from the moment magnitude (Mw 5.4–7.4), focal depth, and source distance considering the marine geology.

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Special issue on marine geology around Tokara Islands in Kagoshima Prefecture: result of marine geological mapping survey cruse in 2020

Cited by 2 publications

References 5 publications

Modeling the 2024 Noto Peninsula earthquake tsunami: implications for tsunami sources in the eastern margin of the Japan Sea

Modeling the 2024 Noto Peninsula earthquake tsunami: implications for tsunami sources in the eastern margin of the Japan Sea

Development of a simple offshore ground motion prediction equation based on S-net data and residual analysis to reveal site effects

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