On the contribution of the horizontal sea-bed displacements into the tsunami generation process

Dutykh, Denys; Mitsotakis, Dimitrios; Чубаров, Л. Б.; Shokin, Yurii I.

doi:10.1016/j.ocemod.2012.07.002

Cited by 32 publications

(28 citation statements)

References 82 publications

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“…Using the incompressible fluid dynamics equations, they drove the equation of energy E as the sum of kinetic K and potential Π energies. In the case of the free surface incompressible flows, the kinetic energy is based on the horizontal velocity field and the potential energy on the free surface elevation (Dutykh et al, 2012). Thus, summarizing it:…”

Section: Tsunami Wave Energymentioning

confidence: 99%

Evaluation of tsunami wave energy generated by earthquakes in the Makran subduction zone

et al. 2018

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The Makran subduction zone, an approximate 1000 km section of the Eurasian-Arabian plate, is located offshore of Southern Iran and Pakistan. In 1945, the Makran subduction zone (MSZ) generated a tsunamigenic earthquake with a magnitude of M w 8.1. The region has also experienced large historical earthquakes but the data regarding these events are poorly documented. Therefore, the need to investigate tsunamis in Makran must be taken into serious consideration. Using hydrodynamic numerical simulation, we evaluate the tsunami wave energy generated by bottom motion for a tsunamigenic source model distributed along the full length of the Makran subduction zone. The whole rupture of the plate boundary is divided into 20 segments with width of order of 200 km and a co-seismic slip of 10 m but with various lengths. Exchanges between kinetic and potential components of tsunami wave energy are shown. The total tsunami wave energy displays only 0.33 % of the seismic energy released from the earthquake source. As a result, for every increase in magnitude by one unit, the associated tsunami wave energy becomes about 10 3 times greater.

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Section: Tsunami Wave Energymentioning

confidence: 99%

Evaluation of tsunami wave energy generated by earthquakes in the Makran subduction zone

et al. 2018

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“…This is because the source time function of greater earthquakes is relatively longer than that of smaller earthquakes, and thus source estimation of greater earthquakes requires longer-period seismic wave analysis (up to a couple of hundreds of seconds) than smaller ones (Katsumata et al 2013). In addition, greater earthquakes may involve tsunami earthquakes (Satake 1994;Dutykh et al 2012) and seafloor failures due to strong seafloor shaking which can generate additional tsunamis (Kawamura et al 2014;Løvholt et al 2015).…”

Section: Open Accessmentioning

confidence: 99%

Assessment of GNSS-based height data of multiple ships for measuring and forecasting great tsunamis

et al. 2016

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Ship height positioning by the Global Navigation Satellite System (GNSS) was investigated for measuring and forecasting great tsunamis. We first examined GNSS height-positioning data of a navigating vessel. If we use the kinematic precise point positioning (PPP) method, tsunamis greater than 10 −1 m will be detected by ship height positioning. Based on Automatic Identification System (AIS) data, we found that tens of cargo ships and tankers are usually identified to navigate over the Nankai Trough, southwest Japan. We assumed that a future Nankai Trough great earthquake tsunami will be observed by the kinematic PPP height positioning of an AIS-derived ship distribution, and examined the tsunami forecast capability of the offshore tsunami measurements based on the PPP-based ship height. A method to estimate the initial tsunami height distribution using offshore tsunami observations was used for forecasting. Tsunami forecast tests were carried out using simulated tsunami data by the PPP-based ship height of 92 cargo ships/ tankers, and by currently operating deep-sea pressure and Global Positioning System (GPS) buoy observations at 71 stations over the Nankai Trough. The forecast capability using the PPP-based height of the 92 ships was shown to be comparable to or better than that using the operating offshore observatories at the 71 stations. We suppose that, immediately after the occurrence of a great earthquake, stations receiving successive ship information (AIS data) along certain areas of the coast would fail to acquire ship data due to strong ground shaking, especially near the epicenter. Such a situation would significantly deteriorate the tsunami-forecast capability using ship data. On the other hand, operational real-time analysis of seismic/geodetic data would be carried out for estimating a tsunamigenic fault model. Incorporating the seismic/geodetic fault model estimation into the tsunami forecast above possibly compensates for the deteriorated forecast capability.

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“…The effect of far-field tsunamis can be suitably evaluated knowing the seismic moment M 0 of the submarine earthquake (Dutykh et al, 2012). However, the tsunami hazard of tsunamigenic earthquakes in the near field depends on several factors which have increased the researchers interest recently (e.g.…”

Section: Introductionmentioning

confidence: 99%

Tsunami hazard assessment in the Makran subduction zone

et al. 2020

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The lack of offshore seismic data caused uncertainties associated to understating the behavior of future tsunamigenic earthquakes in the Makran Subduction Zone (MSZ). Future tsunamigenic events in the MSZ may trigger significant near-field tsunamis. Run-up heights in the near-field are controlled by the heterogeneity of slip over the rupture area. Considering a non-planar geometry for the Makran subduction zone, a range of random k −2 slip models were generated to hypothesize rupturing on the fault zone. We model tsunamis numerically and assess probabilistic tsunami hazard in the near-field for all synthetic scenarios. The main affected areas by tsunami waves are the area between Jask and Ormara along the shorelines of Iran and Pakistan and the area between Muscat and Sur along the Oman coastline. The maximum peak-run-up along the shores of Iran and Pakistan is about 16 m and about 12 m for the Oman shoreline. The slip distributions control the run-up along the Makran coastlines. The dependency of run-up to the heterogeneity of slip is higher in the most impacted areas. Those areas are more vulnerable to tsunami hazard than other areas.

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On the contribution of the horizontal sea-bed displacements into the tsunami generation process

Cited by 32 publications

References 82 publications

Evaluation of tsunami wave energy generated by earthquakes in the Makran subduction zone

Evaluation of tsunami wave energy generated by earthquakes in the Makran subduction zone

Assessment of GNSS-based height data of multiple ships for measuring and forecasting great tsunamis

Tsunami hazard assessment in the Makran subduction zone

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