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地震 ›› 2021, Vol. 41 ›› Issue (2): 102-112.doi: 10.12196/j.issn.1000-3274.2021.02.008

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Morlet小波变换在2020年新疆于田6.4级地震预测中的应用研究

薛艳, 宋治平, 姜祥华, 张小涛   

  1. 中国地震台网中心, 北京 100045
  • 收稿日期:2020-07-21 修回日期:2020-10-16 出版日期:2021-04-30 发布日期:2021-08-06
  • 作者简介:薛艳(1969-), 女, 北京市人, 正研级高工, 主要从事地震预测研究。
  • 基金资助:
    中国和美国政府间合作项目(2018YFE0109700)和震情跟踪项目(2021020510)

Application of Morlet Wavelet Transform in Forecasting Process of Yutian MS6.4 Earthquake in 2020

XUE Yan, SONG Zhi-ping, JIANG Xiang-hua, ZHANG Xiao-tao   

  1. China Earthquake Networks Center, Beijing 100045, China
  • Received:2020-07-21 Revised:2020-10-16 Online:2021-04-30 Published:2021-08-06

摘要: 2020年6月26日新疆于田6.4级地震发生在新疆和田至西藏日土6.0级左右年度地震重点危险区内部, 中期(年度)预测正确, 其中核心依据之一为该地区6级以上地震准周期特征。 Morlet小波变换定量计算显示11.7年、 5.8年和79.5年为主要周期成分, 其中11.7年和5.8年周期通过了90%置信度检验, 具有显著性。 本文在回顾于田6.4级地震前地震活动准周期特征基础上, 进一步讨论了区域范围、 计算参数、 时间序列长度对周期谱稳定性的影响和小波变换在地震预测中的应用等问题。

关键词: 于田6.4级地震, Morlet小波变换, 周期谱

Abstract: The Yutian MS6.4 earthquake on June 26, 2020 in Xingjiang, China, occurred in the 2020 annual earthquake risk areas, and the medium-term forecasting is correct. One of the main basis is the quasi periodic characteristic of earthquakes with MS≥6.0 in this area. The quantitative calculation by the Morlet wavelet transform showed that 11.7-year, 5.8-year and 79.5-year are the mainperiods, in which the former passed 90% confidence test, are the main periodic components. In this paper, we reviewed the characteristics of seismicity periodic spectrum before the MS6.4 earthquake, discussed the effects of study region range, different parameters and different length of time series on the result stability of Morlet wavelet transform and its application in earthquake forecasting.

Key words: The Yutian MS6.4 earthquake, Morlet wavelet transform, Periodic spectrum

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