库页岛使用LURR方法进行中期地震预测:1997-2019年回顾性研究总结和新方法

A. Zakupin, N. Boginskaya
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引用次数: 2

摘要

这项工作介绍了使用1997-2019年中期地震预测的LURR方法对库页岛地震活动性进行回顾性分析的结果。所有先前执行的计算都简化为联邦研究中心“联合地球物理调查”库页岛分部的地震数据(目录)的单一数据库。与以前的研究类似,库页岛领土通过应用半径为一度的圆形式的计算区域进行扫描;然而,决议增加了。这样的区域覆盖了整个领土,纬度和经度为0.5度,在三个最危险的地震产生区,网格被详细划分为0.1度。因此,增加了计算样本的数量,从而避免了在计算过程中遗漏LURR参数的异常。由于预测事件的震级下界与计算样本的震级范围上界(M = 5)的合理绑定,在研究期间,回顾性预测对象的数量增加了3倍。在岛上处理了323个计算样本(其中基本样本119个,详细样本204个)。得到了15个预警期,这些预警期在地理上代表了库页岛所有中、强地震发生带。结果表明,19次5级以上地震中有17次发生在3年以内的异常区。15个周期中,有4个周期是假的。因此,75%的警报预测了89%的地震。
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Mid-term earthquake prediction using the LURR method on Sakhalin Island: A summary of retrospective studies for 1997–2019 and new approaches
The work presents the results of a retrospective analysis of the seismicity of Sakhalin using the LURR method of mid-term earthquake prediction for 1997–2019. All previously performed computations are reduced to a single database of seismological data (catalogue) of the Sakhalin Branch of the Federal Research Center “United Geophysical Survey of RAS”. Similar to previous studies, the Sakhalin territory was scanned by applying computational areas in the form of circles with a radius of one degree; however, the resolution was increased. The entire territory was covered by such zones with a step of 0.5 degrees in latitude and longitude, with the grid being detailed down to 0.1 degrees in three most dangerous seismogenerating zones. As a result, the number of computational samples was increased, which allowed the omission of anomalies in the LURR parameter during computations to be avoided. Due to a reasonable binding of the lower bound of the magnitude for predicted events to the upper bound of the magnitude range of the computational sample (M = 5), the number of objects for the retrospective forecast was increased by 3 times for the study period. 323 computational samples (119 of which are basic and 204 ones are detailed) were processed on the territory of the island. 15 alarm periods were obtained, which geographically represent all zones of moderate and strong earthquake generation on Sakhalin Island. As a result, 17 out of 19 earthquakes with M ≥ 5 occurred in the areas with anomalies during the alarm periods not exceeding three years. Out of 15 periods, 4 turned to be false. Thus, 75 % of the alarms predicted 89 % of the earthquakes.
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