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Seismic Inventory Simulation andConformance Test Based on the Monte Carlo Method - A Case Study of the Fenhe-Weihe Belt

机译:基于蒙特卡洛方法的地震清单模拟和 r一致性测试-以F河-渭河带为例

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摘要

Artificial earthquake catalogue simulation is one of the ways to effectively improve the incompleteness of the existing earthquake catalogue, the scarcity of large earthquake records and the improvement of seismological research.Based on the Poisson distribution model of seismic activity and the Gutenberg-Richter magnitude-frequency relationship, the Monte Carlo method which can describe the characteristics of the stochastic nature and the physical experiment process is used.This paper simulates the future seismic catalogues of the Fenhe-Weihe seismic belt of different durations and conducts statistical tests on them. The analysis shows that the simulation catalogue meets the set seismic activity parameters and meets the Poisson distribution hypothesis,which can obtain a better simulated earthquake catalogues that meets the seismic activity characteristics.According to the simulated earthquake catalogues,future earthquake trends in this region are analyzed to provide reference for seismic hazard analysis.
机译:人工地震目录模拟是有效改善现有地震目录的不完整性,大地震记录的稀缺性和改善地震学研究的方法之一。基于地震活动的泊松分布模型和古腾堡-里希特震级频率关系,使用蒙特卡罗方法描述随机性质和物理实验过程。本文模拟simulate河-渭河不同时期地震带的未来地震目录,并对它们进行统计检验。分析表明,模拟目录满足设定的地震活动参数,符合泊松分布假说,可以得到满足地震活动特征的更好的模拟地震目录。根据模拟地震目录,分析了该地区未来的地震趋势为地震灾害分析提供参考。

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  • 来源
    《中国地震研究(英文版)》 |2018年第4期|533-548|共16页
  • 作者单位

    Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;

    Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing 100029, China;

    Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;

    Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;

    Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
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