Impacts of tides on tsunami propagation due to potential Nankai Trough earthquakes in the Seto Inland Sea, Japan

Impacts of tides on tsunami propagation due to potential Nankai Trough earthquakes in the Seto Inland Sea, Japan
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DOI:
10.1002/2015jc010995
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发表时间:
2015-10
影响因子:
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通讯作者:
Han Soo Lee;Tomohisa Shimoyama;S. Popinet
Han Soo Lee;Tomohisa Shimoyama;S. Popinet
中科院分区:
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文献类型:
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作者:
Han Soo Lee;Tomohisa Shimoyama;S. Popinet

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通过数值试验研究了潮汐对日本濑户内海(SIS)南海海槽地震引起的极端海啸传播的影响。海啸实验进行了五个方案的基础上,考虑潮汐在四个不同的阶段,如洪水,高,落潮,低潮。在丰后和纪伊海峡中任意选择的探针显示,潮汐对海啸高度和第一波到达时间的影响不如SIS内盆地和海湾中潮汐范围大的探针显著。例如,根据潮汐阶段的不同,最大海啸高度和到达丰前岛的时间分别相差0.5米和近1小时。定义在计算的最大海啸高度,由于潮汐的不确定性说明,计算的最大海啸高度在内部SIS与站立潮汐有更大的不确定性比两个通道与传播潮汐。特别是在Harima Nada,由于潮汐影响的不确定性大于没有潮汐相互作用的海啸高度的50%。研究结果建议在浅水环境中模拟海啸和潮汐,以减少海啸建模和预测海啸灾害准备所涉及的不确定性。
The impacts of tides on extreme tsunami propagation due to potential Nankai Trough earthquakes in the Seto Inland Sea (SIS), Japan, are investigated through numerical experiments. Tsunami experiments are conducted based on five scenarios that consider tides at four different phases, such as flood, high, ebb, and low tides. The probes that were selected arbitrarily in the Bungo and Kii Channels show less significant effects of tides on tsunami heights and the arrival times of the first waves than those that experience large tidal ranges in inner basins and bays of the SIS. For instance, the maximum tsunami height and the arrival time at Toyomaesi differ by more than 0.5 m and nearly 1 h, respectively, depending on the tidal phase. The uncertainties defined in terms of calculated maximum tsunami heights due to tides illustrate that the calculated maximum tsunami heights in the inner SIS with standing tides have much larger uncertainties than those of two channels with propagating tides. Particularly in Harima Nada, the uncertainties due to the impacts of tides are greater than 50% of the tsunami heights without tidal interaction. The results recommend simulate tsunamis together with tides in shallow water environments to reduce the uncertainties involved with tsunami modeling and predictions for tsunami hazards preparedness.