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Spatio-temporal epidemic type aftershock sequence model for Tangshan aftershock sequence

机译:唐山余震序列的时空流行型余震序列模型

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摘要

Shallow earthquakes usually show obvious spatio-temporal clustering patterns. In this study, several spatio-temporal point process models are applied to investigate the clustering characteristics of the well-known Tangshan sequence based on classical empirical laws and a few assumptions. The relative fit of competing models is compared by Akaike Information Criterion. The spatial clustering pattern is well characterized by the model which gives the best fit to the data. A simulated aftershock sequence is generated by thinning algorithm and compared with the real seismicity.
机译:浅地震通常表现出明显的时空聚集模式。在这项研究中,基于经典经验法则和一些假设,使用几种时空点过程模型来研究著名唐山序列的聚类特征。 Akaike信息准则比较了竞争模型的相对拟合。该模型很好地表征了空间聚类模式,该模型最适合数据。通过细化算法生成了模拟的余震序列,并将其与真实的地震活动度进行了比较。

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