标题： 利用机器学习算法研究2024年类似 swarm 的凯法利尼亚岛附近海域活动 显示英文标题

标题： Investigating the 2024 swarm like activity offshore Kefalonia Island aided by Machine Learning algorithms

摘要： 2024年3月，在凯法利尼亚岛以北的爱奥尼亚群岛中部地区发生了一次类似地震群的活动。通过机器学习辅助的工作流程，我们编制了一份增强型地震目录，其中包含了2495次低到中等震级的地震，覆盖了为期两个月的时间段。时空分析显示，这些地震的震中分布呈近东西走向，长约5公里，比预期的强地震余震区扩展长度（根据常见的标度定律，震级不超过M4.0）要长得多。 研究结果表明，这种类似地震群的活动可能是由流体运动和库伦应力变化共同触发的。最强的地震出现在扩散曲线之外，处于上地壳的预期值范围内，可能由第一次强震引起的应力传递触发。流体效应在最初的几天内迅速减弱，而由于两次最强地震的联合影响所导致的应力场变化促进了大部分激发地震中较弱地震的发生。 本研究的结果加强了这样一种观点，即上地壳中应力再分布与流体运动之间的相互作用可能是引发类似地震群活动的原因。快速应用机器学习工具来编制稳健的地震目录，可以极大地提高我们对像中央爱奥尼亚群岛这样高产地震区域驱动地震活动过程的理解，从而有助于改进地震危险性评估。 显示英文摘要

摘要： In March 2024, a swarm like seismic activity occurred north of Kefalonia Island, in the central Ionian Islands area. Following a machine-learning aided workflow, we compiled an enhanced seismic catalog of 2495 low to moderate magnitude earthquakes throughout a 2 month period. Spatiotemporal analysis reveals a narrow epicentral distribution of nearly E-W alignment, approximately 5km long, much longer than the length anticipated by common scaling laws for the aftershock area extension of the stronger earthquakes that did not exceed M4.0. The findings of the study indicate that the swarm like activity is possibly triggered by a combination of fluid movements and Coulomb stress changes. The strongest earthquakes appear beyond the diffusivity curves that are within the expected upper crust values and are possibly triggered by stress transfer by the first strong earthquake. Fluid effects rapidly diminish within the first days, while the changes in the stress field due to the combined effect of the two strongest earthquakes promote the triggering of most of the weaker earthquakes of the excitation. The findings of this study reinforce the idea of swarm-like activity initiating due to interactions between stress redistributions and fluid movements in the upper crust. The rapid employment of ML tools for the compilation of robust seismic catalogs can vastly improve our understanding of the processes that drive seismicity in highly productive areas such as the Central Ionian Islands, thus leading to improved seismic hazard assessment.