Study on the influence of infragravity waves on inundation characteristics at Minami-Ashiyahama in Osaka Bay induced by the 2018 Typhoon Jebi

Hattori, Naohiro; Tajima, Yoshimitsu; Yamanaka, Yusuke; Kumagai, Kenzou

doi:10.1080/21664250.2020.1724247

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…At the same time, the detection and monitoring of infragravity waves itself play a crucial role in coastal hazard management and safety. These infragravity waves, often generated by the swell in the shallow water (Longuet‐Higgins & Stewart, 1962), can pose a threat to coastal areas (Hattori et al., 2020; Matsuba et al., 2020). They frequently contribute to coastal flooding, erosion, sediment transport, and the formation of dangerous rip currents (Beach & Sternberg, 1988; Bertin et al., 2018; Osborne & Greenwood, 1992; Sheremet et al., 2014; Zheng et al., 2021).…”

Section: Discussionmentioning

confidence: 99%

Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing

Xiao,

Spica,

et al. 2024

Geophysical Research Letters

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Underwater Distributed Acoustic Sensing (DAS) utilizes optical fiber as a continuous sensor array. It enables high‐resolution data collection over long distances and holds promise to enhance tsunami early warning capabilities. This research focuses on detecting infragravity and tsunami waves associated with earthquakes and understanding their origin and dispersion characteristics through frequency‐wavenumber domain transformations and beamforming techniques. We propose a velocity correction method based on adjusting the apparent channel spacing according to water depth to overcome the challenge of detecting long‐wavelength and long‐period tsunami signals. Experimental results demonstrate the successful retrieval of infragravity and tsunami waves using a subsea optical fiber in offshore Oregon. These findings underscore the potential of DAS technology to complement existing infragravity waves detection systems, enhance preparedness, and improve response efforts in coastal communities. Further research and development in this field are crucial to fully utilize the capabilities of DAS for enhanced tsunami monitoring and warning systems.

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Section: Discussionmentioning

confidence: 99%

Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing

Xiao,

Spica,

et al. 2024

Geophysical Research Letters

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“…To demonstrate the applicability of the calibrated and validated model to a range of extreme events, we conducted a simulation of the storm surge caused by Typhoon Jebi in 2018. Typhoon Jebi was the strongest typhoon to come ashore in this area in the last 25 years [32] and caused significant damage to urban areas [33]. While previous studies have mainly used meteorological and wave models to analyze storm surges [32,34], we aimed to reproduce the peak sea elevation caused by Typhoon Jebi while considering tidal interactions.…”

Section: Storm Surge Induced By Typhoon Jebi In 2018mentioning

confidence: 99%

Unstructured Grid-Based River–Coastal Ocean Circulation Modeling towards a Digital Twin of the Seto Inland Sea

Jeong

Lee

2023

Applied Sciences

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As computational techniques advance, the scope of digital twins (DTs) is expanding to encompass entire cities, oceans, or even the Earth. Digital twins of oceans can provide highly comprehensive insights and predictions, thus enabling better-informed decision-making regarding ocean-related activities and management. Here, a numerical model of the Seto Inland Sea (SIS), Japan, was built as a basis to establish a digital twin of the SIS. Spatially varying filtering parameters and grid resolutions were applied to facilitate the robust and accurate simulation of coastal and oceanic processes even under varying extreme conditions. The modeling results were validated using observational datasets from forty-two tidal stations, one mooring system, and thirteen water thermometers. The results represented tidal variations, with NRMSE values below 0.15 and R2 values exceeding 0.87 at all tidal stations. The NRMSE and R2 values for currents were approximately 0.14 and 0.76, respectively. The model reproduced the extreme storm surge event causing a sea level rise of 1.5 m near Osaka City resulting from Typhoon Jebi in 2018. The model was shown to enable analyses of complex circulations and hazards in the SIS by accurately replicating barotropic and baroclinic processes. After additional modules are added, this model will serve as a basis for constructing a digital twin of the SIS.

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“…Notably, the tide gauge was designed to observe long wave fluctuations of sea surface level with a filter, not to observe a tsunami. The tide gauge does not perfectly capture short wave components even in a component that spans around 1 min (e.g., Hattori et al., 2020). It also contains linear/nonlinear response characteristics to observe longwave fluctuations (e.g., Satake et al., 1988; Wei et al., 2003).…”

Section: Datamentioning

confidence: 99%

Study on the 1906 Colombia‐Ecuador Megathrust Earthquake Based on Tsunami Waveforms Observed at Tide Gauges: Release Variation of Accumulated Slip Deficits in the Source Area

Yamanaka

Tanioka

2021

JGR Solid Earth

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Previous studies have compared the source characteristics of these significant earthquakes to those of the 1906 earthquake (Kwong et al., 2018; Nocquet et al., 2017); however, many uncertainties remain regarding the estimated characteristics of the 1906 earthquake. For example, although originally the Mw of the 1906 earthquake was determined to be 8.8, recent studies have estimated it to be ∼8.4 (e.g., Okal, 1992;Yoshimoto et al., 2017). Ye et al. ( 2016) estimated a source area that was 500-600 km in length for the earthquake, while Yoshimoto et al. (2017) proposed a moderately sized source area that was ∼300 km in length. As the 1906 earthquake was an event from the distant past, many observational data were based on eyewitnesses (e.g., Kelleher, 1972) and paper-based seismic and tsunami waveforms (e.g., Kanamori & McNally, 1982;Yoshimoto et al., 2017). Estimating the 1906 earthquake process that ruptured areas for other significant earthquakes is essential to understand earthquake activity in the Colombia-Ecuador subduction zone. Such estimations should be conducted using a thoroughly verified observational data set, especially because data sets that include large noise and biases may produce contradictions and inconsistencies.Inverse analysis using observed waveforms of an earthquake-induced tsunami is a suitable method to estimate the rupture process of an earthquake. This is because the tsunami waveform strongly reflects the results of the earthquake. The inverse analysis, alongside classical methods using observed seismic waveforms, have

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Study on the influence of infragravity waves on inundation characteristics at Minami-Ashiyahama in Osaka Bay induced by the 2018 Typhoon Jebi

Cited by 9 publications

References 23 publications

Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing

Detection of Earthquake Infragravity and Tsunami Waves With Underwater Distributed Acoustic Sensing

Unstructured Grid-Based River–Coastal Ocean Circulation Modeling towards a Digital Twin of the Seto Inland Sea

Study on the 1906 Colombia‐Ecuador Megathrust Earthquake Based on Tsunami Waveforms Observed at Tide Gauges: Release Variation of Accumulated Slip Deficits in the Source Area

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