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Integration of GNSS and Seismic Data for Earthquake Early Warning: A Case Study on the 2011 Mw 9.0 Tohoku-Oki Earthquake

机译:GNSS与地震数据的地震预警集成:以2011年Mw 9.0东北大地震为例

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Earthquake early warning (EEW), which is considered to be a pragmatic and viable way to reduce the damage and casualties during a large earthquake, relies on the accurate estimation of broadband displacements and the capability of rapidly detection of the first arrival wave (P-wave). Real-time high-rate GNSS is a reliable tool to directly capture displacements including static offsets and dynamic motions at the near field, which does not suffer from the clip, rotation and tilt problems as the traditional seismic instrument does. However, due to the large high-frequency noise and the low sampling rates of GNSS measurements, it is hard to pick up the P-wave arrival accurately in GNSS-derived displacement history. To overcome this problem, the combination of high-rate GNSS and collocated accelerometers shows promise as a more reliable and effective way, because accelerometers perform very well with high precision in the high-frequency range. In this study, we investigate the method by using collocated GNSS and accelerometers for EEW. We first introduce a new approach, namely the temporal point positioning (TPP) method, which could directly obtain coseismic displacement with a single GNSS receiver in real-time. The TPP method overcome the convergence problem of precise point positioning (PPP), and also avoids the integration process of the Variometric approach. And then we apply a multi-rate Kalman filter to fuse GNSS-derived coseismic displacement with collocated accelerometer data for attaining integrated displacements with a high precision and reliability. Finally, we detect the arrival time of P-wave and determine the earthquake magnitude from the integrated results. The performance of collocated GNSS and accelerometers is validated using data from GEONET (1 Hz GPS) and K-NET/KiK-Net (100 Hz accelerometer) stations, with the collocated distance less than 2 km, in the near field of the Mw 9.0 Tohoku-Oki earthquake occurred on March 11, 2011. Using the broadband displacements derived by the above method, we detect the arrival time of P-wave with a mean value 0.15 s offset different from the USGS reference values, and the estimated magnitude is Mw 9.06, which is achievable within 2-3 min after earthquake initiation.
机译:地震预警(EEW)被认为是减少大地震期间的破坏和人员伤亡的务实可行的方法,它依赖于宽带位移的准确估计和快速检测首次到达波的能力(P-海浪)。实时高速GNSS是一种可靠的工具,可以直接捕获位移,包括近场处的静态偏移和动态运动,而该位移不会像传统地震仪器那样受夹,旋转和倾斜问题的困扰。但是,由于高频噪声大且GNSS测量的采样率低,因此很难在GNSS导出的位移历史中准确地拾取P波到达。为了克服这个问题,将高速GNSS和并置的加速度计结合使用是一种更可靠,更有效的方法,因为加速度计在高频范围内的精度很高。在这项研究中,我们通过使用并置的GNSS和加速度计对EEW来研究该方法。我们首先介绍一种新方法,即时间点定位(TPP)方法,该方法可以直接通过单个GNSS接收器实时获得同震位移。 TPP方法克服了精确点定位(PPP)的收敛性问题,并且避免了Variometric方法的集成过程。然后,我们应用多速率卡尔曼滤波器将GNSS派生的同震位移与并置的加速度计数据融合在一起,从而以高精度和可靠性获得积分位移。最后,我们检测P波的到达时间,并根据综合结果确定地震震级。在Mw 9.0的近场中,并置距离小于2 km的GEONET(1 Hz GPS)和K-NET / KiK-Net(100 Hz加速度计)站的数据验证了并置GNSS和加速度计的性能。 2011年3月11日发生东北大地震。利用上述方法推导的宽带位移,我们检测到与USGS参考值相差0.15 s的P波到达时间,估计震级为Mw 9.06,可在地震发动后2-3分钟内达到。

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