论文标题
深震全球序列中的远程相关研究
Long-range correlation studies in deep earthquakes global series
论文作者
论文摘要
在本文中,我们使用了深层地震(深度大于70 km)的全球数据进行了关于地震学特性的研究,考虑了幅度$ M \ geq 4.5 $的事件。我们已经在复杂网络的角度解决了这个问题,使用了一个时间窗口模型来构建深层地震的网络,这些网络呈现无规模和小世界的特征。这项工作是使用类似方法的先前研究的延伸,用于浅层事件。我们对深层事件的结果证实了浅层地震的连通性分布也遵循Q指数分布,并且存在缩放行为。使用复杂的网络和非遗传性统计力学对我们的结果进行了分析,从而加强了时间窗口模型来构建Epicenters网络的使用。它们加强了地震与地震系统批判性之间的远程相关性的想法。
In the present paper we have conducted studies on seismological properties using worldwide data of deep earthquakes (depth larger than 70 km), considering events with magnitude $m \geq 4.5$. We have addressed the problem under the perspective of complex networks, using a time window model to build the networks for deep earthquakes, which present scale-free and small-world features. This work is an extension of a previous study using a similar approach, for shallow events. Our results for deep events corroborate with those found for the shallow ones, since the connectivity distribution for deep earthquakes also follows a q-exponential distribution and the scaling behavior is present. Our results were analysed using both, complex networks and Nonextensive Statistical Mechanics, contributing to strengthen the use of the time window model to construct epicenters networks. They reinforce the idea of long-range correlations between earthquakes and the criticality of the seismological system.