文章基本信息

标题：The double branching model for earthquake forecast applied to the Japanese seismicity
本地全文：下载
作者：Anna Maria Lombardi ; Warner Marzocchi
期刊名称：Earth, Planets and Space
电子版ISSN：1880-5981
出版年度：2011
卷号：63
期号：3
页码：187-195
DOI：10.5047/eps.2011.02.001
出版社：Springer Verlag
摘要：The purpose of this work is to apply the Double Branching Model (DBM) to forecast moderate–large Japanese seismicity.The proposed model is time-dependent, since it assumes that each earthquake can generate or is correlated to other earthquakes, through physical mechanisms acting at different spatio-temporal scales.The model is set up through two sequential steps.In the first step, we estimate the well-established short time clustering.Then, we analyze and characterize the declustered catalog through a second order branching process.The inclusion of the second branching is motivated by the statistically significant departure of the declustered catalog from a time-independent model.From a physical point of view, this new branching accounts for possible long-term earthquake interactions.Some recent applications of this model at global and regional scales (Marzocchi and Lombardi, 2008; Lombardi and Marzocchi, 2009, 2010) have shown that earthquake occurrences tend to have two main time features: a short-term clustering up to months–few years and a longer time modulation of decades (up to few centuries).Here we apply the DBM to the instrumental Japanese database, collected by the Japan Meterological Agency (JMA) ( M ≥ 5.0).The purpose of this application is twofold.First, we check the existence of two time branchings previously found in other regions.Second, we provide forecasts to be evaluated by the Japanese CSEP (Collaboratory for the Study of Earthquake Predictability) testing center. Key words Earthquake probability forecasting Japanese seismicity stochastic process.
关键词：Earthquake probability ;forecasting ;Japanese seismicity ;stochastic process