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Violations of Gutenberg-Richter Relation in Anthropogenic Seismicity

机译:违反古腾堡-里希特关系的人为地震

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摘要

Anthropogenic seismicity (AS) is the undesired dynamic rockmass response to technological processes. AS environments are shallow hence their heterogeneities have important impact on AS. Moreover, AS is controlled by complex and changeable technological factors. This complicated origin of AS explains why models used in tectonic seismicity may be not suitable for AS. We study here four cases of AS, testing statistically whether the magnitudes follow the Gutenberg-Richter relation or not. The considered cases include the data from Mponeng gold mine in South Africa, the data observed during stimulation of geothermal well Basel 1 in Switzerland, the data from Acu water reservoir region in Brazil and the data from Song Tranh 2 hydropower plant region in Vietnam. The cases differ in inducing technologies, in the duration of periods in which they were recorded, and in the ranges of magnitudes. In all four cases the observed frequency-magnitude distributions statistically significantly differ from the Gutenberg-Richter relation. Although in all cases the Gutenberg-Richter b value changed in time, this factor turns out to be not responsible for the discovered deviations from the Gutenberg-Richter-born exponential distribution model. Though the deviations from Gutenberg-Richter law are not big, they substantially diminish the accuracy of assessment of seismic hazard parameters. It is demonstrated that the use of non-parametric kernel estimators of magnitude distribution functions improves significantly the accuracy of hazard estimates and, therefore, these estimators are recommended to be used in probabilistic analyses of seismic hazard caused by AS.
机译:人为地震活动性(AS)是对工艺过程的不希望有的动态岩体响应。 AS环境较浅,因此其异质性对AS具有重要影响。而且,AS受复杂和多变的技术因素控制。 AS的这种复杂起源解释了为什么构造地震活动模型可能不适用于AS。我们在此研究了4种AS案例,并通过统计学检验了幅度是否遵循Gutenberg-Richter关系。所考虑的案例包括南非Mponeng金矿的数据,瑞士巴塞尔1号地热井增产期间观察到的数据,巴西Acu水库地区的数据以及越南Song Tranh 2水电站地区的数据。这些案例在诱导技术,记录它们的持续时间以及幅度范围方面有所不同。在所有四种情况下,观察到的频率-幅度分布在统计上均明显不同于古腾堡-里希特关系。尽管在所有情况下,古腾堡-里希特b值都会随时间变化,但事实证明,该因素与从古腾堡-里希特出生的指数分布模型中发现的偏差无关。尽管与古腾堡-里希特定律的偏差不大,但它们大大降低了地震危险性参数评估的准确性。结果表明,使用幅度分布函​​数的非参数核估计器可以显着提高灾害估计的准确性,因此,建议将这些估计器用于AS引起的地震灾害的概率分析。

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