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Aftershocks hazard in Italy Part I: Estimation of time-magnitude distribution model parameters and computation of probabilities of occurrence

机译:意大利的余震危害第一部分:时间量分布模型参数的估计和发生概率的计算

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摘要

We analyzed the available instrumental data on Italian earthquakes from 1960 to 1996 to compute the parameters of the time-magnitude distribution model proposed by Reasenberg and Jones (1989) and currently used to make aftershock forecasting in California. From 1981 to 1996 we used the recently released Catalogo Strumentale dei Terremoti 'Italiani' (CSTI) (Instrumental Catalog Working Group, 2001) joining the data of the Istituto Nazionale di Geofisica e Vulcanologia (INGV) and of the Italian major local seismic network, with magnitude revalued according to Gasperini (2001). From 1960 to 1980 we used instead the Progetto Finalizzato Geodinamica (PFG) catalog (Postpischl, 1985) with magnitude corrected to be homogeneous with the following period. About 40 sequences are detected using two different algorithms and the results of the modeling for the corresponding ones are compared. The average values of distribution parameters (p = 0.93 + 0.21), Log_(10) (c) = -1.53 6 0.54, b = 0.96 + 0.18 and a = -1.66 + 0.72) are in fair agreement with similar computations performed in other regions of the World. We also analyzed the spatial variation of model parameters that can be used to predict the sequence behavior in the first days of future Italian seismic crisis, before a reliable modeling of the ongoing sequence is available. Moreover some nomograms to expeditiously estimate probabilities and rates of aftershock in Italy are also computed.
机译:我们分析了可用的1960年至1996年意大利地震的仪器数据,以计算Reasenberg和Jones(1989)提出的时量分布模型的参数,该模型目前用于加利福尼亚的余震预报。从1981年到1996年,我们将最近发布的Catalogue Strumentale dei Terremoti'Italiani'(CSTI)(仪器目录工作组,2001年)与Istituto Nazionale di Geofisica e Vulcanologia(INGV)以及意大利主要的当地地震台网的数据相结合,根据加斯佩里尼(Gasperini,2001)对价值进行重估。从1960年到1980年,我们改为使用Progetto Finalizzato Geodinamica(PFG)目录(Postpischl,1985年),其幅度在随后的时期内被校正为同质的。使用两种不同的算法检测到约40个序列,并比较相应序列的建模结果。分布参数的平均值(p = 0.93 + 0.21),Log_(10)(c)= -1.53​​ 6 0.54,b = 0.96 + 0.18和a = -1.66 + 0.72)与在其他方法中执行的类似计算基本一致世界各地区。我们还分析了模型参数的空间变化,这些参数可用于预测未来意大利地震危机发生的第一天的序列行为,然后才能对正在进行的序列进行可靠的建模。此外,还计算了一些诺法图以快速估计意大利的余震概率和发生率。

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