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The Effect of Catalogue Lead Time on Medium-Term Earthquake Forecasting with Application to New Zealand Data

机译:目录提前时间对新西兰数据的中期地震预测的影响

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摘要

‘Every Earthquake a Precursor According to Scale’ (EEPAS) is a catalogue-based model to forecast earthquakes within the coming months, years and decades, depending on magnitude. EEPAS has been shown to perform well in seismically active regions like New Zealand (NZ). It is based on the observation that seismicity increases prior to major earthquakes. This increase follows predictive scaling relations. For larger target earthquakes, the precursor time is longer and precursory seismicity may have occurred prior to the start of the catalogue. Here, we derive a formula for the completeness of precursory earthquake contributions to a target earthquake as a function of its magnitude and lead time, where the lead time is the length of time from the start of the catalogue to its time of occurrence. We develop two new versions of EEPAS and apply them to NZ data. The Fixed Lead time EEPAS (FLEEPAS) model is used to examine the effect of the lead time on forecasting, and the Fixed Lead time Compensated EEPAS (FLCEEPAS) model compensates for incompleteness of precursory earthquake contributions. FLEEPAS reveals a space-time trade-off of precursory seismicity that requires further investigation. Both models improve forecasting performance at short lead times, although the improvement is achieved in different ways.
机译:“根据比例”(EEPAS)的每种地震是一种基于目录的模型,以预测未来几个月,年数和几十年的地震,具体取决于幅度。 EEPAS已被证明在新西兰(NZ)这样的地震活动区域中表现良好。它是基于观察,即在大地震之前的地震增加。这种增加遵循预测性缩放关系。对于较大的目标地震,前体时间更长,并且在目录开始之前可能发生前兆地震性。在这里,我们推导出一种用于目标地震的完整性的公式,作为其幅度和提前期的函数,其中提前期是从目录开始到其发生时间的时间长度。我们开发了两个新版本的EEPAS并将其应用于NZ数据。固定的铅时间EEPAS(Fleepas)模型用于检查提前期对预测的效果,固定的提前时间补偿EEPAS(FLCEEPA)模型补偿了前提地震贡献的不完整性。 Fleepas揭示了需要进一步调查的前兆地震性的时空交易。两种模型在短时间内提高了预测性能,尽管以不同的方式实现了改进。

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