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Earthquake probability in Taipei based on non-local model with limited local observation: Maximum likelihood estimation

机译:基于局部观测有限的非局部模型的台北地震概率:最大似然估计

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摘要

Many earthquake empirical models were developed based on the statistics in the past. However, it is commonly seen that a non-local model was applied to a local study without any adjustment. In this paper, a new algorithm using maximum likelihood estimation (MLE) to adjust a non-local model for local applications was presented, including a case study assessing the probability of major earthquake occurrences in Taipei. Specifically, considering the fault length of 36 km and slip rate of 2 mm/yr, it suggests the Sanchiao (or Shanchiao) fault could induce a major earthquake with magnitude M-w 7.14 +/- 0.17, based on a non-local model integrated with limited local data using the MLE algorithms.
机译:根据过去的统计数据,开发了许多地震经验模型。但是,通常可以将非本地模型应用于本地研究,而无需进行任何调整。本文提出了一种使用最大似然估计(MLE)调整非局部模型进行局部应用的新算法,其中包括一个评估台北大地震发生概率的案例研究。具体来说,考虑到36 km的断层长度和2 mm / yr的滑移率,这表明三桥(或山桥)断层可能会基于Mw积分的非局部模型诱发Mw 7.14 +/- 0.17级的大地震。使用MLE算法的有限本地数据。

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