Source inversion and numerical simulation of 2017 Mw 8.1 Mexico earthquake tsunami
Zhiyuan Ren,
Xinran Ji (),
Peitao Wang,
Jingming Hou,
Di Shan and
Lianda Zhao
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Zhiyuan Ren: National Marine Environmental Forecasting Center
Xinran Ji: Hainan University
Peitao Wang: National Marine Environmental Forecasting Center
Jingming Hou: National Marine Environmental Forecasting Center
Di Shan: National Marine Environmental Forecasting Center
Lianda Zhao: National Marine Environmental Forecasting Center
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 94, issue 3, No 10, 1163-1185
Abstract:
Abstract Based on the nonlinear shallow water equations and tsunami measurement, this study has presented the inversion source, which is generated by an earthquake of Mw 8.1 that occurred in Pijijiapan, Mexico, on September 8, 2017. The seafloor deformation induced by the inversed tsunami source reached maximum uplift of 0.5 m and subsidence of − 1.4 m. The numerical results simulated by the inversed source could match well with the measured data. We characterize tsunami propagation scenarios regarding tsunami amplitude and currents. Unlike the feature of tsunami wave amplitude propagation in the deep ocean, the currents induced by the tsunami are confined to shallow coasts, noted as the contour of 400 m water depth. Although most regions endure tsunamigenic currents below 3 knots (1.5 m/s) or in range of 3–6 knots (1.5–3 m/s), which is the threshold from no damage to minor–moderate damage, the duration lasting several hours indicates the potential beach erosion and sediment transport. The eddies of tsunami-induced currents could be identified at the entrance gate of lagoon named Mar Muerto with a finer grid. Finally, the dispersion effect has been investigated on tsunami propagation in the Pacific Ocean.
Keywords: 2017 Mexico earthquake of M w 8.1; Tsunami source inversion; Numerical simulation; Tsunamigenic coastal currents; Dispersion effect (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s11069-018-3465-y
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