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Estimation of the maximum earthquake magnitude, m(max)

机译:估计最大地震震级,m(max)

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This paper provides a generic equation for the evaluation of the maximum earthquake magnitude m(max) for a given seismogenic zone or entire region. The equation is capable of generating solutions in different forms, depending on the assumptions of the statistical distribution model and/or the available information regarding past seismicity. It includes the cases (i) when earthquake magnitudes are distributed according to the doubly-truncated Gutenberg-Richter relation, (ii) when the empirical magnitude distribution deviates moderately from the Gutenberg-Richter relation, and (iii) when no specific type of magnitude distribution is assumed. Both synthetic, Monte-Carlo simulated seismic event catalogues, and actual data from Southern California, are used to demonstrate the procedures given for the evaluation of m(max).The three estimates of m(max) for Southern California, obtained by the three procedures mentioned above, are respectively: 8.32 +/- 0.43, 8.31 +/- 0.42 and 8.34 +/- 0.45. All three estimates are nearly identical, although higher than the value 7.99 obtained by Field et al. (1999). In general, since the third procedure is non-parametric and does not require specification of the functional form of the magnitude distribution, its estimate of the maximum earthquake magnitude m(max) is considered more reliable than the other two which are based on the Gutenberg-Richter relation.
机译:本文提供了一个通用方程式,用于评估给定震源区或整个区域的最大地震震级m(max)。根据统计分布模型的假设和/或有关过去地震活动的可用信息,该方程能够生成不同形式的解。它包括以下情况:(i)根据双重截断的古登堡-里希特关系分配地震震级;(ii)经验震级分布适度偏离古登堡-里希特关系;以及(iii)没有特定类型的震级假设分布。合成的蒙特卡洛模拟地震事件目录和南加州的实际数据均用于说明m(max)评估的程序。南加州的m(max)的三个估算值是由三个上述程序分别是:8.32 +/- 0.43、8.31 +/- 0.42和8.34 +/- 0.45。尽管这三个估计值都高于Field等人获得的值7.99,但它们几乎相同。 (1999)。通常,由于第三个过程是非参数的,并且不需要指定震级分布的函数形式,因此,它对最大地震震级m(max)的估计被认为比其他两个基于古腾堡的地震方法更可靠-里希特关系。

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