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Estimation of earthquake hazard parameters from incomplete data files. Part III. Incorporation of uncertainty of earthquake-occurrence model

机译:从不完整的数据文件估计地震危险参数。第三部分。结合地震发生模型的不确定性

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摘要

Most probabilistic seismic-hazard analysis procedures require that at leastthree seismic source parameters be known, namely the mean seismic activity rate λ, theGutenberg–Richter b-value, and the area-characteristic (seismogenic source) maximumpossible earthquake magnitudemmax. In almost all currently used seismic-hazard assessmentprocedures that utilize these three parameters, it is explicitly assumed that all threeremain constant over time and space. However, closer examination of most earthquakecatalogs has indicated that significant spatial and temporal variations existed in theseismic activity rate λ, as well as in the Gutenberg–Richter b-value. In this study, themaximum likelihood estimation of these earthquake hazard parameters considersthe incompleteness of the catalogs, the uncertainty in the earthquake magnitude determination,as well as the uncertainty associated with the applied earthquake-occurrencemodels. The uncertainty in the earthquake-occurrence models is introduced by assumingthat both the mean seismic activity rate λ and the Gutenberg–Richter b-value arerandom variables, each described by the gamma distribution. This approach results inthe extension of the classic frequency–magnitude Gutenberg–Richter relation and thePoisson distribution of the number of earthquakes with their compounded counterparts(Benjamin, 1968; Campbell, 1982, 1983). The proposed procedure was applied in theestimation of the seismicity parameters in an area that had experienced the strongest andmost devastating earthquake in contemporary South African history, namely the 29September 1969 Mw 6.3 Ceres–Tulbagh event. In this example, it was shown that theintroduction of uncertainty in the earthquake-occurrence model reduced the mean returnperiods, leading to an increase of the estimated seismic hazard. Additionally, this studyconfirmed that accounting for magnitude uncertainties had the opposite effect, that is, it brought about increases in the return periods, or, equivalently, a reduction of the estimatedseismic hazard.
机译:大多数概率地震灾害分析程序要求至少知道三个地震源参数,即平均地震活动速率λ,Gutenberg-Richter b值和区域特征(地震源)最大可能地震震级mmax。在几乎所有利用这三个参数的当前使用的地震灾害评估程序中,明确假定所有这三个参数在时间和空间上保持恒定。但是,对大多数地震目录的仔细研究表明,这些地震活动率λ以及古腾堡-里希特b值存在着明显的时空变化。在这项研究中,这些地震危险参数的最大似然估计考虑了目录的不完整性,地震震级确定的不确定性以及与应用的地震发生模型相关的不确定性。通过假设平均地震活动率λ和古腾堡-里希特b值都是随机变量(均由伽马分布来描述)来引入地震发生模型中的不确定性。这种方法导致了经典的频率-幅度古登堡-里希特关系的扩展以及地震次数及其复合对数的泊松分布(Benjamin,1968; Campbell,1982,1983)。拟议的程序被用于估算一个地区,该地区在当代南非历史上经历了最强烈,最破坏性的地震,即1969年9月29日6.3塞里斯–图尔巴赫事件,地震烈度参数的估算。在此示例中,表明在地震发生模型中引入不确定性会减少平均返回期,从而导致估计的地震危害增加。此外,这项研究证实,考虑幅度不确定性会产生相反的影响,也就是说,它会增加返回期,或者等效地减少估计的地震危害。

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    Kijko, Andrzej; Smit, Ansie;

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