印度地震发生的变化率及其对发生概率的影响

Priyanka Sharma, Roopesh Kumar, U. Naithani
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引用次数: 0

摘要

目前的研究重新审视了印度的地震活动,目的是调查印度不同地震带不同震级的返回时间。因此,印度被划分为24个区域。这项调查考虑了从以前到2020年的地震活动。古腾堡里氏震级频率关系用于估计特定区域地震的复发次数。GRT连接的计算使用了几种考虑认知不确定性的方法。参数a和b分别为1.47 ~ 7.05和0.54 ~ 1.17。17和11区的回归周期最短,表明地震活动强烈。然而,6区和12区显示出8级地震的最高重现期,这表明大震级在这些区域发生的可能性最低。从地震工程的角度估计了未来100年、225年、475年、2475年、50000年和10000年的发生概率。在假定地震发生服从泊松分布的基础上,计算了地震发生的概率。据观察,在17区报告的100、225、475、2475、5000和10000的概率最低。同样,区域24报告了返回周期100、225、475、2475、5000和10000的最高概率。研究结果对该区的地震危险性评价具有一定的指导意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Varying Rate Of Occurrence Of Earthquakes In India And Its Implication On Probabilities Of Occurrence
The current research revisits India's seismicity with the goal of investigating the return times of different magnitudes in distinct seismogenic zones in India. India is divided into 24 zones for this reason. The investigation took into account seismicity from prior times until 2020. The Gutenberg Richter magnitude frequency relationship was used to estimate the return times of earthquakes in specific zones. The GRT connection has been computed using several methods that take epistemic uncertainty into account. The a and b parameters are between 1.47 and 7.05 and 0.54 and 1.17, respectively. Zones 17 and 11 have the shortest return periods, indicating strong seismic activity. However, the zones 6 and 12 shows the highest return periods for magnitude 8 which shows that the great magnitude has lowest probability of occurrence in these zones. From earthquake engineering point of view the probabilities of occurrence in next 100, 225, 475, 2475, 50000 and 10000 years have been estimated. The probabilities have been calculated based on the assumptions that the earthquake occurrence follows Poisssonian distribution. It has been observed that the lowest probabilities for 100, 225, 475, 2475, 5000 and 10000 is reported in zones 17. Similarly, the highest probabilities for the return periods 100, 225, 475, 2475, 5000 and 10000 are reported in zones 24. The results are very useful for seismic hazard assessment for the regions.
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