基于经验模型分析2018年2月台湾花莲地震序列特征及其前震的成因机制

尚园程, 史保平

尚园程,史保平. 2020. 基于经验模型分析2018年2月台湾花莲地震序列特征及其前震的成因机制. 地震学报,42(1):1−11. doi:10.11939/jass.20190058. DOI: 10.11939/jass.20190058
引用本文: 尚园程,史保平. 2020. 基于经验模型分析2018年2月台湾花莲地震序列特征及其前震的成因机制. 地震学报,42(1):1−11. doi:10.11939/jass.20190058. DOI: 10.11939/jass.20190058
Shang Y C,Shi B P. 2020. Statistical analysis of the February 2018 Hualien,Taiwan,China,earthquake sequence:The features of its foreshocks,mainshocks,and aftershocks. Acta Seismologica Sinica42(1):1−11. doi:10.11939/jass.20190058. DOI: 10.11939/jass.20190058
Citation: Shang Y C,Shi B P. 2020. Statistical analysis of the February 2018 Hualien,Taiwan,China,earthquake sequence:The features of its foreshocks,mainshocks,and aftershocks. Acta Seismologica Sinica42(1):1−11. doi:10.11939/jass.20190058. DOI: 10.11939/jass.20190058

基于经验模型分析2018年2月台湾花莲地震序列特征及其前震的成因机制

基金项目: 国家自然科学基金(41574040)和国家国际科技合作专项(2015DFA21260)共同资助
详细信息
    通讯作者:

    尚园程: e-mail:shangyuancheng17@mails.ucas.ac.cn

  • 中图分类号: P315.08

Statistical analysis of the February 2018 Hualien,Taiwan,China,earthquake sequence:The features of its foreshocks,mainshocks,and aftershocks

  • 摘要:

    利用地震学的三个经典经验模型(古登堡-里克特定律、修正的大森定律和巴特定律)和描述前震活动的Dieterich前震模型对2018年2月中国台湾花莲地震序列的特征进行了分析。将该地震序列分为ML5.5前震序列、ML5.5余震序列和ML6.0余震序列等3段子序列进行研究,结果显示:利用古登堡-里克特定律得到的ML5.5余震序列和ML6.0余震序列的b值近似为1,ML5.5前震序列的b值近似为0.5;利用修正的大森定律得到的ML5.5余震序列和ML6.0余震序列的p值近似为0.9;利用修正的巴特定律得出ML5.5余震序列和ML6.0余震序列的推定最大余震震级分别为ML5.0和ML5.5,与实际数据相比,其误差值约为0.1。通过拟合ML5.5前震的发生率,分析可得ML5.5前震序列的地震发生率$\dot {N}$正比于1/(tmt),其中$t\ ({t}{\text{<}} {t_{\rm{m}}})$为前震发生时刻,${t_{\rm{m}}}$ML5.5地震发生时间,与Dieterich前震模型对前震现象的描述一致,表明其成因机制可能为主震成核过程中区域断层的次级断裂。

    Abstract:

    As we know, the statistical properties of an earthquake sequence are associated with three important empirical laws in seismology: Gutenberg-Richter law for the frequency-magnitude distribution, Båth law for the magnitude of the largest aftershock, and the modified Omori’s law for the temporal decay of aftershocks. In this paper these three laws are combined to study the February 2018 Hualien, Taiwan, China, earthquake sequence. In addition, a physics-based model proposed by Dieterich is used to describe the foreshock activities. The Hualien aftershock sequence is divided as three major sequences compounding with the ML5.5 foreshock sequence, the ML5.5 aftershock sequence and the ML6.0 sequence. The results indicate that the b values associated with Gutenberg-Richter law for the ML5.5 aftershock sequence and the ML6.0 aftershock sequence are approximately 1, respectively. And b value of the ML5.5 foreshock sequence are approximately 0.5. The p values with associated modified Omori’s law for the ML5.5 and ML6.0 aftershock sequences are both approximately 0.9, respectively. The estimated maximum aftershock magnitudes based on the modified form of Båth law are about ML5.0 and ML5.5, respectively, for ML5.5 and ML6.0 aftershock sequences, and the magnitude error is within $\Delta M$=0.1 with a comparison to the recorded events. We also find that, for the ML5.5 foreshock sequence, the seismicity rate ${\dot N}$ increases as a function of 1/(tmt), where t$t {\text{<}} {t_{\rm{m}}}$) is the time of the foreshock and ${t_{\rm{m}}}$ is the time when the ML5.5 earthquake occurred, respectively, which is consistent with the Dieterich earthquake triggering model, suggesting that the foreshock sequence may be related with mainshock nucleation process.

  • 图  1   花莲地区 M-t

    (a) 2016年6月1日至2018年3月30日;(b) 2018年2月3日至10日;(c) 2018年2月4日21时0分至22时18分

    Figure  1.   M-t diagram of Hualian area

    (a) From June 1,2016 to March 30,2018;(b) From 3 to 10 February,2018;(c) From 21: 00 to 22: 18 on February 4,2018

    图  2   2016年6月1日至2018年2月10日花莲地区地震空间分布图

    Figure  2.   The spatial distribution of Hualian earthquakes from June 1,2016 to February 10,2018

    图  3   花莲地震序列发生后不同地震序列的地震目录的震级-频度图

    (a) 背景地震序列;(b) ML5.5前震序列;(c) ML5.5余震序列;(d) ML6.0序列

    Figure  3.   The magnitude-frequency plot for the catalog of Hualian earthquakes with different time spans

    (a) Background earthquake sequence;(b) ML5.5 foreshock sequence;(c) ML5.5 aftershock sequence;(d) ML6.0 earthquake sequence

    图  4   不同时段内修正的大森定律拟合的曲线图

    (a) 自2018年2月4日地震后至2月10日花莲地区地震累计次数随时间的变化;(b) 利用修正的大森定律拟合ML5.5余震序列图;(c) 利用修正的大森定律拟合2天内ML6.0余震序列

    Figure  4.   Curves fitted by the modified Omori’s law with different time spans

    (a) The cumulative number of events in Hualian area from February 4 to February 10;(b) Fitting ML5.5 aftershock sequence;(c) Fitting ML6.0 aftershock sequence in two days

    图  5   ML5.5地震发生前120分钟内的地震发生率

    Figure  5.   Seismicity rate within 120 minutes before the ML5.5 earthquake

    表  1   通过古登堡-里克特定律拟合得到的不同时间尺度下的a值与b

    Table  1   Fitting a-value and b-value by the Gutenberg-Richter law with different time scales

    地震序列 起始时间 持续时间/d a b
     年-月-日 时:分:秒
    背景地震序列 2016-06-01 00:00:00 610 5.327 1.016±0.015
    ML5.5前震序列 2018-02-04 03:30:00 0.75 3.080 0.548±0.147
    ML5.5余震序列 2018-02-04 22:13:00 2 5.656 1.128±0.037
    ML6.0序列 2018-02-06 23:53:00 2 5.657 1.028±0.079
    下载: 导出CSV

    表  2   通过修正的大森定律拟合得到的不同时间段的参数值

    Table  2   Fitting parameters by the modified Omori’s law with different time spans

    地震序列 起始时间 持续时间/dKcMp
    年-月-日 时∶分∶秒
    ML5.5余震序列2018-02-04 22∶16∶00213.750.790.88
    ML6.0序列2018-02-06 23∶53∶00219.231.800.92
    下载: 导出CSV

    表  3   通过S-T方法计算得到的不同时间段的推定最大余震震级

    Table  3   The estimated maximum aftershock magnitude by S-T method with different time spans

    地震序列起始时间持续时间/d推定最大余震
    震级$ { M_{\max }^{\rm a}} $
     年-月-日 时:分:秒
    ML5.5余震序列2018-02-04 22:16:0025.0
    ML6.0序列2018-02-0623:53:00 25.5
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-03-18
  • 修回日期:  2019-09-11
  • 网络出版日期:  2020-03-25
  • 刊出日期:  2019-12-31

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