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首页> 外文期刊>Bulletin of the Seismological Society of America >Application of the Maximum-Likelihood Location Method to the Earthquake Early Warning System in South Korea
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Application of the Maximum-Likelihood Location Method to the Earthquake Early Warning System in South Korea

机译：最大似然定位法在韩国地震预警系统中的应用

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The purpose of most earthquake early warning systems (EEWSs) is promptly to identify damaging earthquakes occurring at local distances from a seismic station or network. However, mislocation of a large regional or teleseismic event that is relatively innocuous to the local society can cause an EEWS to issue a serious false alarm. To solve this problem, we applied the recently developed, robust maximum-likelihood earthquake location method (MAXEL) to the EEWS in South Korea, which is adjacent to several major plate boundaries capable of producing very large earthquakes at regional distances. MAXEL, which is based on the maximum-likelihood method using the concepts of equal differential times of P arrivals and Student's t distribution, was optimized for the application and event identification criteria were introduced. Although the maximum number of arrivals for locating an earthquake was controlled to allow for fast computation and successful operation of the EEWS, it was possible to maintain location accuracy. Synthetic tests based on current Korean seismic networks showed that MAXEL could locate local events very well and also handle regional earthquakes effectively. In addition, offline tests using observed data also clearly confirmed the robustness of MAXEL to outliers and its superior capability for discriminating local events from regional or teleseismic events. Therefore, it is expected that MAXEL could significantly improve the stability and accuracy of the phase association and event location of EEWSs and that MAXEL has great potential for earthquake early warning.
机译：大多数地震预警系统（EEWS）的目的是迅速识别在距地震台或网络局部距离处发生的破坏性地震。但是，对于本地社会而言相对无害的大型区域性或远程地震事件的位置不当会导致EEWS发出严重的错误警报。为解决此问题，我们将最新开发的稳健的最大似然地震定位方法（MAXEL）应用于韩国的EEWS，该方法与几个主要的板块边界相邻，能够在区域距离内产生非常大的地震。 MAXEL是基于最大似然方法，使用P到达的差动时间和Student t分布的相等差的概念进行了优化，并针对事件识别标准进行了介绍。尽管控制了地震定位的最大到达次数以允许快速计算和EEWS成功运行，但仍可以保持定位精度。根据韩国目前的地震网络进行的综合测试表明，MAXEL可以很好地定位当地事件，并且可以有效地处理区域地震。此外，使用观察到的数据进行的离线测试也清楚地证明了MAXEL对异常值的鲁棒性及其在区分局部事件与区域地震事件或远程地震事件中的卓越能力。因此，可以预期MAXEL可以显​​着提高EEWS的相位关联和事件定位的稳定性和准确性，并且MAXEL在地震预警方面具有很大的潜力。

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