大地震前对G-R规律的偏离及基于该特征的地震预报模式推荐

F. Hirose, K. Maeda
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引用次数: 2

摘要

频率-幅度分布通常用古腾堡-里希特(G-R)定律表示。然而,频率-幅度分布有时是一条凸向上的曲线,而不是一条直线,偏离了G-R定律。最初由Utsu(1978)引入的η值是表示偏离G-R定律程度的指标。我们研究了日本东部太平洋沿岸6次m7 -9级主震前后的η值。主震前η值趋于变小(即偏离GR规律),然后增大(即恢复到G-R规律)。考虑到这一特点,我们提出了一种简单而具有挑战性的基于η值的地震预报模型。经回顾性检验,优化后的预测模型概率增益为2.24-3.03,报警率为100%,真率为0.14-0.47%。根据最新地震活动性预报模型的应用结果,应注意关东地区东南沿海的地震活动性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deviation from G-R Law before Great Earthquakes and Recommendation for Earthquake Forecast Models Based on That Feature
Frequency-magnitude distributions are generally expressed by the Gutenberg-Richter (G-R) law. However, frequency-magnitude distributions are sometimes a convex-upward curve rather than a straight line, departing from the G-R law. An η value originally introduced by Utsu (1978) is an indicator that represents the degree of deviation from the G-R law. We investigate η values before and after sixM7-9 class mainshocks off the Pacific coast of eastern Japan. The η values tend to become small (i.e., the distribution deviates from the GR law) before the mainshocks, and then increase (i.e., recovering to the G-R law). Taking this characteristic into account, we suggest a simple and challenging earthquake forecast model based on η values. Probability gain of the optimized forecast model by a retrospective test becomes 2.24-3.03, and the alarm rate and the truth rate become 100% and 0.14-0.47%, respectively. According to the result of the forecast model applied to the latest seismicity, we should pay attention to seismicity off the coast southeast of Kanto district.
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