Influence of Computational Parameters on Accuracy of Movable Bed Model for Tsunamis

Arimitsu, Tsuyoshi; Matsuda, Shuugo; Murakami, Yoshikane; Shikata, Takemi; Kawasaki, Koji; Mishima, Toyoaki; Shimizu, Rie; Sugawara, Daisuke

doi:10.2208/kaigan.73.i_589

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…The STM considers sediment exchange between the bed and suspended loads assuming a single grain-size class of the sediments. Previous studies have extensively utilized TUNAMI-STM and its derivatives to investigate tsunami-induced sediment transport due to the 2011 Tohoku-oki earthquake (Sugawara et al 2014b;Yamashita et al 2016Yamashita et al , 2018Arimitsu et al 2017;Kusumoto et al 2020) and to model the paleotsunami source of the 1867 Keelung earthquake (Sugawara et al 2019). Sugawara et al (2014b) demonstrated that the general trend of deposit thickness along orthogonal transects to the shoreline can be reproduced using STM.…”

Section: Numerical Model and Inputsmentioning

confidence: 99%

To what extent tsunami source information can be extracted from tsunami deposits? Implications from the 2011 Tohoku-oki tsunami deposits and sediment transport simulations

Masuda

Sugawara

Abe

et al. 2022

Prog Earth Planet Sci

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A quantitative understanding of paleotsunamis is a significant issue in tsunami sedimentology. Onshore tsunami deposits, which are geological records of tsunami inundation, are used to reconstruct paleotsunami events. Numerical models of tsunami hydrodynamics and tsunami-induced sediment transport are utilized in such reconstructions to connect tsunami deposit characteristics, flow conditions, and (paleo-) tsunami sources. Recent progress in tsunami numerical modeling has increased the possibility of developing a methodology to estimate paleotsunami sources from tsunami deposits. Several previous studies have estimated paleotsunami sources using tsunami sediment transport simulations. However, the accuracy of paleotsunami source estimation has not yet been explored. Thus, to bridge this research gap, in this study, we showed the potential and limitations of deposit-based tsunami source estimation based on the 2011 Tohoku-oki tsunami deposit data on the southernmost part of the Sendai Plain, northeastern Japan. The tsunamigenic megathrust along the Japan Trench was divided into ten subfaults having similar lengths and widths. The hypothetical source models with varying slips on each subfault were examined by comparing the depositional volume and sediment source of onshore tsunami deposits. Due to limited information on the depositional area of the tsunami deposits used in the modeling, slips only in some parts of the entire tsunami source region could be estimated. The fault slip was slightly overestimated but could be compared with previous well-constrained source models. Thus, these results indicated that vast high-quality datasets of tsunami deposits can improve the accuracy of paleotsunami source estimation. It is also suggested that the amplitude of the receding wave affects the erosion pattern from the shoreface to the nearshore area. Although sufficient data for paleotsunami source estimation are lacking, an effective combination of tsunami deposit data and sediment transport simulations potentially improves the accuracy of the source estimation. The results will contribute to developing a framework of deposit-based paleotsunami source modeling and assessing its accuracy.

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Section: Numerical Model and Inputsmentioning

confidence: 99%

To what extent tsunami source information can be extracted from tsunami deposits? Implications from the 2011 Tohoku-oki tsunami deposits and sediment transport simulations

Masuda

Sugawara

Abe

et al. 2022

Prog Earth Planet Sci

Self Cite

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“…Numerical simulations using wave dynamics of an area can reproduce spatial-temporal variations in the sediment mobility and deposition and can effectively model the sediment transport process using the wave and sediment characteristics of the natural system. In recent years, numerical modeling of tsunami sediment transport has been developed (e.g., Takahashi et al, 2000), improved (e.g., Takahashi et al, 2011;Apotsos et al, 2011a;Li and Huang, 2013;Morishita and Takahashi, 2014;Yamashita et al, 2018) and applied in the field (e.g., Gelfenbaun et al, 2007;Takahashi et al, 2008;Apotsos et al, 2011b, c;Gusman et al, 2012;Li et al, 2014;Arimitsu et al, 2017;Yamashita et al, 2017), and reproducibility has been confirmed by comparison between the calculated and measured values (e.g., Li et al, 2012;Ranasinghe et al, 2013;Sugawara et al, 2014a;Yamashita et al, 2015;Yamashita et al, 2016).…”

Section: Introductionmentioning

confidence: 96%

Investigating beach erosion related with tsunami sediment transport at Phra Thong Island, Thailand, caused by the 2004 Indian Ocean tsunami

Masaya

Suppasri

Yamashita

et al. 2020

Nat. Hazards Earth Syst. Sci.

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Abstract. The 2004 Indian Ocean tsunami and the 2011 Tōhoku earthquake and tsunami caused large-scale topographic changes in coastal areas. Whereas much research has focused on coastlines that have or had large human populations, little focus has been paid to coastlines that have little or no infrastructure. The importance of examining erosional and depositional mechanisms of tsunami events lies in the rapid reorganization that coastlines must undertake immediately after an event. A thorough understanding of the pre-event conditions is paramount to understanding the natural reconstruction of the coastal environment. This study examines the location of sediment erosion and deposition during the 2004 Indian Ocean tsunami event on the relatively pristine Phra Thong Island, Thailand. Coupled with satellite imagery, we use numerical simulations and sediment transportation models to determine the locations of significant erosion and the areas where much of that sediment was redeposited during the tsunami inundation and backwash processes. Our modeling approach suggests that beaches located in two regions on Phra Thong Island were significantly eroded by the 2004 tsunami, predominantly during the backwash phase of the first and largest wave to strike the island. Although 2004 tsunami deposits are found on the island, we demonstrate that most of the sediment was deposited in the shallow coastal area, facilitating quick recovery of the beach when normal coastal processes resumed.

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Experimental Study on Concentration of Suspended Sediment Under High Velocity Conditions Caused by Tsunami

Shikata¹,

Fujii²,

Matsuyama³

et al. 2021

Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal E

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Influence of Computational Parameters on Accuracy of Movable Bed Model for Tsunamis

Cited by 3 publications

References 2 publications

To what extent tsunami source information can be extracted from tsunami deposits? Implications from the 2011 Tohoku-oki tsunami deposits and sediment transport simulations

To what extent tsunami source information can be extracted from tsunami deposits? Implications from the 2011 Tohoku-oki tsunami deposits and sediment transport simulations

Investigating beach erosion related with tsunami sediment transport at Phra Thong Island, Thailand, caused by the 2004 Indian Ocean tsunami

Experimental Study on Concentration of Suspended Sediment Under High Velocity Conditions Caused by Tsunami

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