AI 中文总结
研究利用一致聚类方法和多尺度谱ε(q)分析南加州地震目录中的地震群，发现地震群有强异常扩散特征，其多尺度谱可区分群迁移与传统构造地震序列。
AI 中文摘要
地震群通常与流体迁移及其他瞬态过程相关，但用传统扩散模型难以量化其空间迁移。本文利用一致聚类方法分析了南加州地震目录中十个持续的地震群。通过事件间距离矩的时间演化得到的多尺度谱ε(q)来表征其迁移。所有分析的地震群都有共同的尺度特征：负矩时谱近似线性，正矩时系统偏离单一线性行为，表明大小事件间距离以不同有效尺度律演化。相比之下，兰德斯构造序列显示ε(q)的高阶饱和，与空间受限扩散一致。这些结果揭示地震群具有强异常扩散特征，表明多尺度谱提供了能区分群迁移与传统构造地震序列的定量指纹。
英文摘要
Seismic swarms are commonly associated with fluid migration and other transient processes, yet their spatial migration remains difficult to quantify using conventional diffusion models. Here we analyze ten persistent earthquake swarms identified within the relocated Southern California earthquake catalogue using a consensus clustering approach. We characterize their migration through the multiscaling spectrum $\varepsilon(q)$ obtained from the temporal evolution of the moments of interevent distances. All analyzed swarms exhibit a common scaling signature: the spectrum is approximately linear for negative moments but departs systematically from a single linear behavior for positive moments, indicating that small and large interevent distances evolve with different effective scaling laws. In contrast, the Landers tectonic sequence displays a high-order saturation of $\varepsilon(q)$, consistent with spatially bounded diffusion. These results reveal that earthquake swarms are characterized by strong anomalous diffusion and suggest that the multiscaling spectrum provides a quantitative fingerprint capable of distinguishing swarm migration from conventional tectonic earthquake sequences.
Comments12 pages, 3 figures
