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Tsunami Simulation Method Assimilating Ocean Bottom Pressure Data Near a Tsunami Source Region

机译:海啸仿真方法在海啸源区附近吸收海底压力数据

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AbstractA new method was developed to reproduce the tsunami height distribution in and around the source area, at a certain time, from a large number of ocean bottom pressure sensors, without information on an earthquake source. A dense cabled observation network called S-NET, which consists of 150 ocean bottom pressure sensors, was installed recently along a wide portion of the seafloor off Kanto, Tohoku, and Hokkaido in Japan. However, in the source area, the ocean bottom pressure sensors cannot observe directly an initial ocean surface displacement. Therefore, we developed the new method. The method was tested and functioned well for a synthetic tsunami from a simple rectangular fault with an ocean bottom pressure sensor network using 10?arc-min, or 20?km, intervals. For a test case that is more realistic, ocean bottom pressure sensors with 15?arc-min intervals along the north–south direction and sensors with 30?arc-min intervals along the east–west direction were used. In the test case, the method also functioned well enough to reproduce the tsunami height field in general. These results indicated that the method could be used for tsunami early warning by estimating the tsunami height field just after a great earthquake without the need for earthquake source information.]]>
机译:<![cdata [ <标题>抽象 ara id =“par1”>开发了一种新方法来重现海啸高度分布在源区,在一定时间内,从大量的海底压力传感器,没有关于地震源的信息。最近由150个海底压力传感器组成的密集的有线观测网络,该网络由150个海底压力传感器安装,沿着日本的Kanto。然而,在源区,海底压力传感器不能直接观察初始海洋表面位移。因此,我们开发了新方法。通过使用10Ω·米隆或20 km,间隔,测试该方法,从简单的矩形故障从一个简单的矩形故障中获得合成的海啸,用于海洋底部压力传感器网络。对于更逼真的测试案例,海底压力传感器具有15个?沿南北方向的弧形分隔,使用30?沿着东西方向的30个弧线分隔。在测试案例中,该方法还运行得足够好以转换海啸高度场。这些结果表明,通过估计大地震之后的海啸高度场,无需地震源信息,该方法可用于海啸预警。 ]>

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