Tsunami source inversion using time-derivative waveform of offshore pressure records to reduce effects of non-tsunami components

Kubota, Tatsuya; Suzuki, Wataru; Nakamura, Takeshi; Chikasada, Naotaka Yamamoto; Aoi, Shin; Takahashi, Narumi; Hino, Ryota

doi:10.1093/gji/ggy345

Cited by 28 publications

(50 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

“…We estimate the tsunami source model by inverting tsunami records via the conventional inversion analysis method (e.g., Tsushima et al 2012;Inazu and Saito 2014;Kubota et al 2018a). The details of the procedure are identical to those described in Kubota et al (2018a). Before estimating the tsunami source model, however, we conduct a preparatory tsunami simulation using the tsunami source model in Inazu and Saito (2014) (Additional file 1: Figure S1).…”

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

“…This indicates that the latter is not due to coseismic seafloor deformations. Thus, they are probably due to tilts or rotations in the sensors related to the seafloor strong ground motion (e.g., Wallace et al 2016;Kubota et al 2018a).…”

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

“…In calculating the Green's functions for the tsunami, the unit source elements of the seafloor displacements (Kubota et al 2015(Kubota et al , 2018a are distributed around the focal area. The horizontal dimension of the unit source elements is 20 km × 20 km at a spacing of 10 km (overlapping with the adjacent elements), distributed along 260 km (in the EW direction) × 240 km (NS) area.…”

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

“…Thus, the tsunami propagation distance during the duration of the M~7 earthquake (~10 s) and the time interval between two subevents (~10 s) is about 3 km, which is sufficiently small compared to the extent of the tsunami source model (~100 km, Inazu and Saito (2014)). We consider the static pressure offsets related to the calculation of Green's function of the PGs for permanent seafloor deformation Kubota et al (2018a)). The same filter used for the observed records is applied to the simulated waveforms.…”

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

See 4 more Smart Citations

Fault model of the 2012 doublet earthquake, near the up-dip end of the 2011 Tohoku-Oki earthquake, based on a near-field tsunami: implications for intraplate stress state

Kubota

Hino

Inazu

et al. 2019

Prog Earth Planet Sci

Self Cite

View full text Add to dashboard Cite

On December 7, 2012, an earthquake occurred within the Pacific Plate near the Japan Trench, which was composed of deep reverse- and shallow normal-faulting subevents (Mw 7.2 and 7.1, respectively) with a time interval of ~10 s. It had been known that the stress state within the plate was characterized by shallow tensile and deep horizontal compressional stresses due to the bending of the plate (bending stress). This study estimates the fault model of the doublet earthquake utilizing tsunami, teleseismic, and aftershock data and discusses the stress state within the incoming plate and spatiotemporal changes seen in it after the 2011 Tohoku-Oki earthquake. We obtained the vertical extents of the fault planes of deep and shallow subevents as ~45–70 km and ~5 (the seafloor)–35 km, respectively. The down-dip edge of the shallow normal-faulting seismic zone (~30–35 km) deepened significantly compared to what it was in 2007 (~25 km). However, a quantitative comparison of the brittle strength and bending stress suggested that the change in stress after the Tohoku-Oki earthquake was too small to deepen the down-dip end of the seismicity by ~10 km. To explain the seismicity that occurred at a depth of ~30–35 km, the frictional coefficient in the normal-faulting depth range required would have had to be ~0.07 ≤ μ ≤ ~0.2, which is significantly smaller than the typical friction coefficient. This suggests the infiltration of pore fluid along the bending faults, down to ~30–35 km. It is considered that the plate had already yielded to a depth of ~35 km before 2011 and that the seismicity of the area was reactivated by the increase in stress from the Tohoku-Oki earthquake.

show abstract

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

Section: Tsunami Source Modeling Using Near-field Tsunami Recordsmentioning

confidence: 99%

See 3 more Smart Citations

Fault model of the 2012 doublet earthquake, near the up-dip end of the 2011 Tohoku-Oki earthquake, based on a near-field tsunami: implications for intraplate stress state

Kubota

Hino

Inazu

et al. 2019

Prog Earth Planet Sci

Self Cite

View full text Add to dashboard Cite

show abstract

Review on Recent Progress in Near-Field Tsunami Forecasting Using Offshore Tsunami Measurements: Source Inversion and Data Assimilation

Wang

Tsushima

Satake

et al. 2021

Pure Appl. Geophys.

View full text Add to dashboard Cite

Traditional tsunami forecasting methods are based on seismic observations. The development of offshore observational devices makes it possible to utilize offshore tsunami measurements for providing early warnings. This paper reviews the tsunami data-oriented forecasting methods of two main types: tsunami source inversion and tsunami data assimilation. In the first type, offshore tsunami measurements are used to enhance and speed up the traditional tsunami source inversion methods. The effectiveness and uncertainties of the tsunami source estimation are discussed. In the second type, tsunami data assimilation, the wavefield is directly reconstructed and forecasted without considering the source. We review the techniques that are adopted to improve the speed and accuracy of data assimilation and to determine the optimal design for an ocean bottom pressure gauge (OBPG) network. It is important for tsunami data-oriented forecasting methods to accurately extract tsunami signal in real time, particularly when the OBPG is located inside the source area.

show abstract

Dense tsunami monitoring system

Tanioka

2025

Probabilistic Tsunami Hazard and Risk Analysis

View full text Add to dashboard Cite

Tsunami source inversion using time-derivative waveform of offshore pressure records to reduce effects of non-tsunami components

Cited by 28 publications

References 51 publications

Fault model of the 2012 doublet earthquake, near the up-dip end of the 2011 Tohoku-Oki earthquake, based on a near-field tsunami: implications for intraplate stress state

Fault model of the 2012 doublet earthquake, near the up-dip end of the 2011 Tohoku-Oki earthquake, based on a near-field tsunami: implications for intraplate stress state

Review on Recent Progress in Near-Field Tsunami Forecasting Using Offshore Tsunami Measurements: Source Inversion and Data Assimilation

Dense tsunami monitoring system

Contact Info

Product

Resources

About