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Multi-parameter algorithm for Earthquake Early Warning

机译:地震预警的多参数算法

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Earthquake Early Warning (EEW) system is a real-time earthquake damage mitigation system. It detects, analyzes and transmits information of the impending event at the potential user sites. In the present study, an attempt has been made to develop a multi-parameter-based EEW algorithm for accurate and reliable issuance of EEW. In the present study, not only the individual parameters such as maximum predominant period ( ), average period ( ???? c ) , peak displacement ( P d ), cumulative absolute velocity and root sum of squares cumulative velocity have been used to develop an algorithm but also various combinations have been attempted to issue alarm. The criterion for issuing warning is based on the alarm status of combinations of parameters at nearest four stations within selected epicentral distance of the event. It has been concluded that three parameter preference-based approach provides most efficient results at a time window of 4 s. The data-set for estimating various parameters required for multi-parameter algorithm has been taken from K-NET seismic array (Japan). The algorithm has been validated on the data taken from different regions. Based on the validation carried out using Indian and PEER-NGA database, the results revealed better performance of multi-parametric EEW algorithm.
机译:地震预警(EEW)系统是一种实时减震系统。它在潜在的用户站点上检测,分析和传输即将发生的事件的信息。在本研究中,已尝试开发一种基于多参数的EEW算法,以准确而可靠地发布EEW。在本研究中,不仅使用了诸如最大主导周期(),平均周期(Δ??? c),峰位移(P d),累积绝对速度和平方根累积速度之类的各个参数,已经尝试了一种算法以及各种组合来发出警报。发出警告的标准基于事件的选定震中距离内最近的四个站点的参数组合的警报状态。已经得出结论,基于三参数偏好的方法在4 s的时间窗口内提供了最有效的结果。估计多参数算法所需的各种参数的数据集取自K-NET地震阵列(日本)。该算法已对来自不同区域的数据进行了验证。基于印度和PEER-NGA数据库进行的验证,结果表明多参数EEW算法具有更好的性能。

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