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首页> 外文期刊>Pure and Applied Geophysics >Large Occurrence Patterns of New Zealand Deep Earthquakes: Characterization by Use of a Switching Poisson Model
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Large Occurrence Patterns of New Zealand Deep Earthquakes: Characterization by Use of a Switching Poisson Model

机译：新西兰深地震的大发生模式：通过转换泊松模型的表征

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The paper studies the statistical properties of deep earthquakes around North Island, New Zealand. We first evaluate the catalogue coverage and completeness of deep events according to cusum (cumulative sum) statistics and earlier literature. The epicentral, depth, and magnitude distributions of deep earthquakes are then discussed. It is worth noting that strong grouping effects are observed in the epicentral distribution of these deep earthquakes. Also, although the spatial distribution of deep earthquakes does not change, their occurrence frequencies vary from time to time, active in one period, relatively quiescent in another. The depth distribution of deep earthquakes also hardly changes except for events with focal depth less than 100 km. On the basis of spatial concentration we partition deep earthquakes into several groups—the Taupo-Bay of Plenty group, the Taranaki group, and the Cook Strait group. Second-order moment analysis via the two-point correlation function reveals only very small-scale clustering of deep earthquakes, presumably limited to some hot spots only. We also suggest that some models usually used for shallow earthquakes fit deep earthquakes unsatisfactorily. Instead, we propose a switching Poisson model for the occurrence patterns of deep earthquakes. The goodness-of-fit test suggests that the time-varying activity is well characterized by a switching Poisson model. Furthermore, detailed analysis carried out on each deep group by use of switching Poisson models reveals similar time-varying behavior in occurrence frequencies in each group.
机译：本文研究了新西兰北岛附近深地震的统计特性。我们首先根据cusum（累积和）统计数据和较早的文献来评估深层事件的目录覆盖率和完整性。然后讨论了深地震的震中，深度和震级分布。值得注意的是，在这些深地震的震中分布中观察到了强烈的分组效应。同样，尽管深地震的空间分布没有改变，但它们的发生频率却不时变化，在一个时期活跃，而在另一个时期则相对静止。除了震源深度小于100 km的事件外，深地震的深度分布也几乎没有变化。根据空间集中度，我们将深层地震划分为多个组-陶波湾丰盛湾组，塔拉纳基组和库克海峡组。通过两点相关函数进行的二阶矩分析表明，深地震仅是非常小规模的聚类，大概仅限于某些热点。我们还建议一些通常用于浅层地震的模型不能令人满意地拟合深层地震。取而代之的是，我们针对深地震的发生模式提出了转换泊松模型。拟合优度测试表明，时变活动通过泊松模型转换得到了很好的表征。此外，通过使用切换泊松模型对每个深层组进行的详细分析显示，每个组中出现频率的时变行为相似。

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