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Ultrabroadband Seismic and Tsunami Wave Observation of High‐Sampling Ocean‐Bottom Pressure Gauge Covering Periods From Seconds to Hours

机译:超高压地震和海啸波观察高采样的海底压力表覆盖周期从几秒钟到几小时

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Recent developments of ocean‐bottom pressure gauges (PG) have enabled us to observe various waves including seismic and tsunami waves covering periods of T?~?100–103?s. To investigate the quality for broadband observation, this study examined the broadband PG records (sampling rate of 1?Hz) around Japan associated with the 2010 Chile earthquake. We identified three distinct wave trains, attributed to seismic body waves, Rayleigh waves, and tsunamis. Clear dispersive features in the Rayleigh waves and tsunamis were explained by theories of elastic waves and gravity waves. Quantitative comparison between pressure change and nearby seismograms demonstrated the validity of the theoretical relation between pressure p and vertical acceleration az for ~3?hr from the origin time. We also found a relationship between p and vertical velocity vz holds only at the first P wave arrival, but not for later arrivals. Similar results were confirmed for various earthquakes with different source‐station distances and magnitudes, suggesting the robustness of these relations. The results demonstrate that the high‐sampling rate (≥1?Hz) is necessary to observe seismic‐wave dispersion and PG can record both seismic waves and tsunamis with reasonable quality for waveform analyses, whereas conventional onshore and offshore seismometers or tide gauges can observe either of seismic waves and tsunamis. Utilizing the high‐sampling PG in combination with the seismic and tsunami propagation theory for estimating earthquake source process or analyzing wave propagation processes in the ocean will deepen our geophysical understanding of the solid‐fluid coupled system in the Earth and contribute toward disaster mitigation. Plain Language Summary Recent developments of offshore ocean‐bottom observation networks have enabled us to use high‐sampling (one or more samples per second) seafloor pressure gauge (PG) data. This study investigated PG records with broadband period range (seconds to hours) around Japan during the 2010 Chile earthquake. We identified a seismic P wave train arriving ~20–30?min after the focal time. Another seismic wave train due to the surface Rayleigh wave during ~70–110?min and tsunamis during ~24–72?hr was also confirmed, which showed a dispersive feature; long‐period waves arrive earlier than short‐period waves. The dispersion theories obtained from the elastic and fluid dynamics thoroughly explained these features. We also compared wave amplitudes between the PG and nearby ocean‐bottom seismometer and confirmed the validity of the relationship between pressure and vertical acceleration and between pressure and vertical velocity. This study demonstrates PG can record both seismic and tsunami signals clearly with reasonable quality, while conventional seismometers or tide gauges can either. Ultrabroadband observation of PG plays an important role in deepening our understanding of geophysical wave propagation processes in the solid‐fluid coupled system in the ocean and enables delivery of essential information for earthquake early warning and disaster mitigation.
机译:的海底压力表(PG)最近的事态发展使我们能够观察到的各种波包括地震和海啸覆盖T'〜?100-103?的时期。为了研究宽带观测质量,本研究宽带PG记录(取样1?赫兹率)与2010年智利大地震相关的日本各地。我们确定了三个不同的波列,归因于地震体波,瑞利波和海啸。在瑞利波及海啸清除色散特征是由弹性波和重力波的理论说明。压力变化和附近之间的定量比较地震图证明了〜3?从原点时间小时压力p和垂直加速度的z之间的理论关系的有效性。我们还发现p和垂直速度VZ之间的关系只在第一P波到达持有,而不是延迟抵达。类似的结果,证实了不同的源站的距离和大小不同的地震,这表明这些关系的稳定性。结果表明,在高采样率(≥1?赫兹)需要观察的地震波分散,PG可在岸上记录两个地震波和海啸与合理的质量为波形分析中,而常规的和海上地震仪或潮器可以观察地震波和海啸的任。利用组合的高取样PG与地震和海啸传播理论用于估计在海洋地震源处理或分析的波传播的过程将加深我们在地球固体 - 流体耦合系统的地球物理理解和朝向减灾作出贡献。近海海底观测网络的普通语言概要最近的发展,使我们能够使用高取样(一个或多个样本每秒)海底压力计(PG)的数据。该研究2010年智利大地震期间调查PG记录的宽带周期范围(数秒到数小时)日本各地。我们确定的重点时间后20-30?min的地震P波火车到达〜。另一个地震波列由于表面瑞利期间波〜70-110分钟,24-72〜期间海啸小时还证实,这表明色散特征?;长周期波到来比短周期波更早。从弹性和流体动力学获得的分散体的理论中充分解释这些特征。我们还比较了PG和附近的海底地震仪之间的波幅,并确认压力和垂直加速度之间以及压力和垂直速度之间的关系的有效性。这项研究表明,PG可以用合理的质量清晰地录制两个地震和海啸的信号,而传统的地震仪或验潮仪,既可以。 PG的超宽带观察起在海洋深化我们的地球物理波传播过程的理解,在固相 - 流体耦合系统的重要作用,并能够提供基本信息,地震预警和减灾。

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