Accelerating deformation seismicity patterns before the March 3, 2021 Thessaly strong earthquake. First results

Georgios Chatzopoulos
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引用次数: 2

Abstract

A widely felt strong shallow earthquake with Mw 6.3 magnitude occurred in Thessaly (Central Greece) on March 3, 2021. This recent strong event attracted our interest to apply and evaluate the capabilities of the Accelerating Deformation method. Based on the recently proposed generalized Benioff strain idea which could be justified by the terms of Non-Extensive Statistical Physics (NESP), the common critical exponent was calculated in order to define the critical stage before a strong event. The present analysis comprised a complex spatiotemporal iterative procedure to examine the possible seismicity patterns at a broad region and identify the best one associated with the preparation process before the strong event. The starting time of the accelerating period, the size and location of the critical area are unknown parameters to be determined. Furthermore, although, the time of failure is already known, in the present research it was not set as a fixed value in the algorithm to define the other unknown parameters but instead different catalogue ending dates have been tried out to be with an objective way. The broad region to be investigated was divided with a square mesh and the search of events around a point has been carried on with different size circular and elliptical shapes. Among the obtained results, the solution which exhibits the most dominant scaling law behavior as well as the one which exhibits the smallest spatial area and yet the more dominant scaling law behavior are presented.
2021年3月3日色萨利强震前的加速形变地震活动模式。第一次结果
2021年3月3日,希腊中部色萨利(Thessaly)发生6.3级强烈浅层地震,震感广泛。最近的强震引起了我们应用和评估加速变形方法能力的兴趣。基于最近提出的广义贝尼奥夫应变思想,用非广泛统计物理(NESP)的术语来证明,计算了共同临界指数,以确定强事件发生前的临界阶段。目前的分析包括一个复杂的时空迭代程序,以检查大范围内可能的地震活动模式,并确定与强震前准备过程相关的最佳模式。加速期的起始时间、临界区域的大小和位置都是未知参数。此外,虽然失效时间是已知的,但在本研究中,算法中并没有将失效时间设置为固定值来定义其他未知参数,而是尝试了不同的目录结束日期,以一种客观的方式。用正方形网格划分待调查的广大区域,并以不同大小的圆形和椭圆形状搜索点周围的事件。在得到的结果中,给出了具有最优标度律行为的解,以及具有最小空间面积但标度律行为更优的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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