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Estimation of the Expected Number of Earthquake Occurrences Based on Semi-Markov Models

机译:基于半马尔可夫模型的预期地震发生次数估计

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The present paper aims at the introduction of the semi-Markov model in continuous time as a candidate model for the description of seismicity patterns in time domain in the Northern Aegean Sea (Greece). Estimators of the semi-Markov kernels, Markov renewal functions and transition functions are calculated through a nonparametric method. Moreover, the hitting times for spatial occurrence of the strongest earthquakes as well as the confidence intervals of certain important indicators are estimated. Firstly, the classification of model states is based on earthquakes magnitude. The instantaneous earthquake occurrence rate between the states of the model as well as the total earthquake occurrence rate are calculated. In order to increase the consistency between the model and the process of earthquake generation, seismotectonic features have been incorporated as an important component in the model. Therefore, a new classification of states is proposed which combines both magnitude and fault orientation states. This model which takes into account seismotectonic features contributes significantly to the seismic hazard assessment in the region under study. The model is applied to earthquake catalogues for the Northern Aegean Sea, an area that accommodates high seismicity, being a key structure from the seismotectonic point of view.
机译:本文旨在介绍连续时间的半马尔可夫模型,作为描述北爱琴海(希腊)时域地震活动模式的候选模型。通过非参数方法计算半马尔可夫核的估计量,马尔可夫更新函数和转移函数。此外,估计了最强烈地震的空间发生时间以及某些重要指标的置信区间。首先,模型状态的分类是基于地震震级的。计算模型状态之间的瞬时地震发生率以及总地震发生率。为了增加模型与地震发生过程之间的一致性,地震构造特征已被纳入模型中的重要组成部分。因此,提出了一种新的状态分类方法,该方法将幅度和故障定向状态都结合了起来。该模型考虑了地震构造特征,对研究区域的地震危害评估做出了重要贡献。该模型已应用于北爱琴海的地震目录中,该地区具有很高的地震活动能力,从地震构造角度来看是关键结构。

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