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首页> 外文期刊>Seismological research letters >Research on Parameter Calculation for the Ogata-Katsura 1993 Model in Terms of the Frequency-Magnitude Distribution Based on a Data-Driven Approach
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Research on Parameter Calculation for the Ogata-Katsura 1993 Model in Terms of the Frequency-Magnitude Distribution Based on a Data-Driven Approach

机译：基于数据驱动方法的频率幅度分布方面的ogata-Katsura 1993模型参数计算研究

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摘要

The subjectivity in the artificial selection of calculation rules for seismicity parameters is an important factor that constrains the scientific results of calculations and their application in other fields. In this article, we apply the idea of a data-driven approach to seismicity parameter calculation and propose a parameter-free method to estimate the spatial distribution of parameters for the Ogata-Katsura 1993 (OK1993) model. This model is currently widely used and expressed in continuous function form. To verify the feasibility of this data-driven approach and to explore the rules of model selection, we generate a synthetic catalog according to three sets of different parameters for the OK1993 model and perform large-scale calculations and method testing. In the calculation, we use a total of 5,049,000 randomly generated models with various numbers of Voronoi nodes (ranging from 2 to 100) and cell meshes generated from 1000 random throws for each number of nodes. Next, we construct a penalized function to select the optimal model based on the Bayesian information criterion (BIC). The results of the median (Q(2)) and median absolute deviation for the beta, mu, and sigma values in the OK1993 model show that the initial input parameters can be well recovered for a synthetic catalog. Additionally, we see that our calculation is optimized with an effective node number N-v = 20-100 and the best 1000 BIC values. We apply this data-driven approach and the corresponding model selection rules to an actual earthquake catalog in the Shimian-Mianning-Xichang region in southwest China. The results show that the Gutenberg-Richter magnitude-frequency b-values, converted from the moment-frequency beta values, are quite different from results obtained by previous studies using traditional methods. The low beta values in the northern segment of the Anninghe fault and in the Daliangshan fault may indicate a higher stress accumulation in these regions. This new data-driven and no
机译：地震性参数计算规则的人工选择的主观性是限制计算的科学结果及其在其他领域的重要因素。在本文中，我们将数据驱动方法的思想应用于地震性参数计算，并提出了一种可参数的方法来估计ogata-katsura 1993（OK1993）模型的参数的空间分布。该模型目前以连续功能形式广泛使用和表达。为了验证此数据驱动方法的可行性并探索模型选择规则，我们根据OK1993模型的三组不同参数生成合成目目录，并执行大规模计算和方法测试。在计算中，我们使用总共5,049,000个随机生成的模型，具有各种数量的voronoi节点（范围为2到100），并且为每个节点的1000个随机投掷生成的单元格网格。接下来，我们构建惩罚功能以基于贝叶斯信息标准（BIC）选择最佳模型。 OK1993模型中的Beta，Mu和Sigma值的中位数（Q（2））和中值绝对偏差的结果表明，对于合成目录，初始输入参数可以很好地恢复。此外，我们看到我们的计算用有效节点N-V = 20-100和最佳1000bic值进行了优化。我们将此数据驱动方法和相应的模型选择规则应用于中国西南部的水仙宁 - 西昌地区的实际地震目录。结果表明，从力矩频率β值转换的古龄 - 富级幅度频率B值与先前研究使用传统方法获得的结果不同。朝南故障和大亮山故障的北部段中的低β值可以指示这些区域中的更高的应力累积。这个新的数据驱动和没有

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  • 来源
    《Seismological research letters》 |2019年第3期|共12页
  • 作者

    Si Zhengya; Jiang Changsheng;

  • 作者单位

    China Earthquake Adm Inst Geophys 5 South Minzu Unvers Rd Beijing 100081 Peoples R China;

    China Earthquake Adm Inst Geophys 5 South Minzu Unvers Rd Beijing 100081 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地震学;
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