蒂瓦 (希腊) 的物理和统计模式 2020-2022 地震群
Filippos Vallianatos1,2, Eirini Sardeli1, Kyriaki Pavlou1
1Section of Geophysics-Geothermics, Department of Geology and Geoenvironment, National and Kapodistrian University of Athens, 15784 Athens, Greece.
Entropy (Basel, Switzerland)
|September 27, 2025
概括
这项研究使用DBSCAN和非广泛的统计物理 (NESP) 分析了2020-2022年蒂瓦地震群. 发现揭示了不同的物理机制,如后滑和扩散,推动了地震集群的进化.
科学领域:
- 地质物理学 地质物理学
- 地震学 地震学
- 统计物理 统计物理
背景情况:
- 从2020年12月到2022年中期,在希腊的蒂瓦附近发生了相当大的地震群.
- 群体表现出复杂的时空迁移模式,需要先进的分析方法.
- 了解底层的物理和统计过程对于地震危险评估至关重要.
研究的目的:
- 分析蒂瓦地震群的统计和物理模式.
- 用客观方法识别和描述时空地震性集群.
- 调查已识别的地震集群进化背后的驱动机制.
主要方法:
- 使用HypoDD进行地震性的转移,以精确地定位事件.
- 应用DBSCAN集群算法来识别时空地震集群.
- 使用非广泛的统计物理 (NESP) 和碎片度模型分析集群属性.
主要成果:
- 该 DBSCAN 算法成功地在群体内识别了不同的地震性集群.
- NESP分析显示了与Q指数分布 (qD:0.7-0.8,qT:1.44-1.50) 一致的统计模式.
- 第一个集群 (WNW) 主要是由后滑动驱动的,而第二个 (ESE) 则表现出正常的扩散.
结论:
- NESP有效地解释了地震群进化的复杂性和非添加性.
- DBSCAN是揭示地震活动中的时空聚类的宝贵工具.
- 已识别的物理机制为蒂瓦地震群的动态提供了洞察力.
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