2019
DOI: 10.1186/s40623-019-1010-1
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Performance of uniform and heterogeneous slip distributions for the modeling of the November 2016 off Fukushima earthquake and tsunami, Japan

Abstract: The M w 6.9 earthquake off Fukushima Prefecture, Japan, of 22 November 2016 was followed by a tsunami that struck the Japanese coast from Hokkaido in northern Japan to Wakayama Prefecture in western Japan. We compared the performance of a seismologically deduced single-fault model, a seismologically deduced finite fault slip model (FFM), an optimized single-fault model based on tsunami data, the FFM with horizontal shift, and the tsunami waveform inversion models of the previous studies considered for this ear… Show more

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Cited by 12 publications
(21 citation statements)
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“…The subsidence peak of our model was located ∼10 km southeast and east of the models by Gusman et al (2017) and Adriano et al (2018), respectively (Figures S3a and S3b). The peak location of the model of Nakata et al (2019) was located ∼10 km northwest of our models (Figure S3c), which was estimated by horizontally shifting the location of the slip distribution model from the teleseismic data estimated by JMA (shown later, in Section 5.2) to fit the coastal tide gauge waveforms. One reason for these differences may be the assumption of the fault geometry, but the more significant reason should be the station coverage and the source-station distance.…”
Section: Resultsmentioning
confidence: 99%
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“…The subsidence peak of our model was located ∼10 km southeast and east of the models by Gusman et al (2017) and Adriano et al (2018), respectively (Figures S3a and S3b). The peak location of the model of Nakata et al (2019) was located ∼10 km northwest of our models (Figure S3c), which was estimated by horizontally shifting the location of the slip distribution model from the teleseismic data estimated by JMA (shown later, in Section 5.2) to fit the coastal tide gauge waveforms. One reason for these differences may be the assumption of the fault geometry, but the more significant reason should be the station coverage and the source-station distance.…”
Section: Resultsmentioning
confidence: 99%
“…The slip models of the mainshock and postseismic slip of Iinuma et al (2012Iinuma et al ( , 2016 and Tomita et al (2020) were provided by the corresponding authors of each article, Takeshi Iinuma and Fumiaki Tomita. The slip distribution models of Gusman et al (2017), Adriano et al (2018), andNakata et al (2019) are available in each paper. The finite fault model using the teleseismic data by JMA is shown in https://www.data.…”
Section: Data Availability Statementmentioning
confidence: 99%
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“…We calculated tsunami height from a fault model with a uniform slip. A fault of length 71 km, width 35 km, and slip 2.1 m ( M w 7.3) was assumed following a uniform-slip fault model used by Nakata et al (2019). Strike N188 • E, dip 45 • , rake 90 • , top depth 2.4 km, and a fault corner location at 38.5 • N, 143.8 • E were used as fault parameters.…”
Section: Effect On Tsunami Height Estimation From Magnitude Underestimentioning
confidence: 99%
“…Since the W-phase solution is based on a point-source model, there exists uncertainty in producing a finite-size source model from the solution, whereas the source extent can affect the resulting tsunamis along the near-field coasts. Another possible approach is to use seismic-waveform inversion to estimate fault-slip distribution (i.e., finite-fault model) for tsunami forecasting (Nakata et al, 2019), while Cienfuegos et al (2018) pointed out that there may be a large uncertainty in near-field tsunami forecasting based on the seismic-based slip distribution, especially for tsunami run-up height and inundation area. Additionally, some tsunamis are generated by non-seismic origins (e.g., landslides, volcanic eruptions), which accounts for 20% of the total tsunami events (Bernard & Titov, 2015), making it difficult to forecast tsunamis using traditional methods.…”
Section: Introductionmentioning
confidence: 99%