基于信号包络线相似性的特定场地地下爆炸识别方法研究

潘常周, 靳平, 徐雄, 王红春, 徐恒垒

潘常周, 靳平, 徐雄, 王红春, 徐恒垒. 2014: 基于信号包络线相似性的特定场地地下爆炸识别方法研究. 地震学报, 36(6): 1131-1140. DOI: 10.3969/j.issn.0253-3782.2014.06.014
引用本文: 潘常周, 靳平, 徐雄, 王红春, 徐恒垒. 2014: 基于信号包络线相似性的特定场地地下爆炸识别方法研究. 地震学报, 36(6): 1131-1140. DOI: 10.3969/j.issn.0253-3782.2014.06.014
Pan Changzhou, Jin Ping, Xu Xiong, Wang Hongchun, Xu Henglei. 2014: Discrimination algorithm for underground explosions in a fixed site based on the similarity of wave envelopes. Acta Seismologica Sinica, 36(6): 1131-1140. DOI: 10.3969/j.issn.0253-3782.2014.06.014
Citation: Pan Changzhou, Jin Ping, Xu Xiong, Wang Hongchun, Xu Henglei. 2014: Discrimination algorithm for underground explosions in a fixed site based on the similarity of wave envelopes. Acta Seismologica Sinica, 36(6): 1131-1140. DOI: 10.3969/j.issn.0253-3782.2014.06.014

基于信号包络线相似性的特定场地地下爆炸识别方法研究

基金项目: 国家自然科学基金(41174033)资助.
详细信息
    通讯作者:

    靳平, e-mail: jinping668@sohu.com

  • 中图分类号: P315.3

Discrimination algorithm for underground explosions in a fixed site based on the similarity of wave envelopes

  • 摘要: 基于信号包络线相似性, 本文提出了特定场地地下爆炸的识别方法, 并将其用于一个特定场地地震事件分析, 以评估该方法对特定场地爆炸事件的识别效果. 结果表明, 在误警率约为6.3%的情况下, 事件间距小于15 km的爆炸事件漏检率约为0.5%, 事件间距在15—30 km范围内的爆炸事件漏检率约为5.0%. 与波形互相关方法相比, 本文方法大幅扩大了有效识别特定场地爆炸事件的空间范围.
    Abstract: This paper presented a discriminant algorithm based on the similarity of wave envelopes to discriminate seismic events in the same site.The events in a fixed site were analyzed to evaluate the discriminating performance for underground explosions.The result shows good performance.When the false alarm rate is about 6.3%, the misclassification rate for explosions with inter-distance smaller than 15 km is only 0.5%, and that for explosions with inter-distance of 15—30 km is about 5.0%. Comparison with the result from the algorithm based on waveform cross-correlation indicates that the method in this paper can discriminate explosions with much larger inter-distance.
  • 图  1   两次地下爆炸的波形及其包络线相似性比较

    (a) 2010-01-28爆炸波形及其包络线; (b) 2009-04-09爆炸波形及其包络线;(c) 波形相关系数; (d) 包络线相关系数

    Figure  1.   Comparison of waveforms of two explosions, as well as correlation between their envelopes

    (a) Waveforms and envelopes of the explosion on 28 January 2010; (b) Waveforms and envelopes of the explosion on 9 April 2009; (c) Correlations between pairs of waveforms; (d) Correlations between pairs of envelopes

    图  2   地下爆炸与天然地震的波形及其包络线相似性比较

    (a) 2010-01-28爆炸波形及其包络线; (b) 2009-04-15地震波形及其包络线; (c) 波形相关系数; (d) 包络线相关系数

    Figure  2.   Comparison of waveforms of an explosion and an earthquake, as well as that between their envelopes

    (a) Waveforms and envelopes of the explosion on 28 January 2010; (b) Waveforms and envelopes of the earthquake on 15 April 2009; (c) Correlations between pairs of waveforms; (d) Correlations between pairs of envelopes

    图  3   识别分析的地震事件及台站分布

    Figure  3.   Distribution of seismic events for identification and stations Triangles denote stations, asterisk denotes the explosion on 15 April 2010, red dots denote other explosions, and blue dots denote unknown events

    图  4   地下爆炸事件的相对位置

    Figure  4.   Relative location of known explosions The asterisk denotes the explosion on 15 April 2010, and blue dots denote other explosions to be identified

    图  5   台网平均信号包络线相关系数与事件间距的关系

    Figure  5.   Relationship between envelope correlation coefficient of net average and inter-distance of corresponding event-pair. The dots denote known explosions, and the squares denote unknown events

    图  6   异常的未知事件与已知爆炸波形(4—8 Hz)的对比

    Figure  6.   Comparison of waveforms of known explosion with those of abnormal unknown events (4—8 Hz band-pass filtered)

    图  7   误警率和漏检率与识别阈值的关系

    Figure  7.   Relationship between wrong alert rate/ missing rate and correlation threshold

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出版历程
  • 收稿日期:  2014-01-12
  • 修回日期:  2014-08-19
  • 发布日期:  2014-10-31

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