基于面波数据的地下核爆炸的全元素矩张量反演方法

何永锋 李锴 刘炳灿 姚国政 赵克常 张献兵 曾乐贵

何永锋, 李锴, 刘炳灿, 姚国政, 赵克常, 张献兵, 曾乐贵. 基于面波数据的地下核爆炸的全元素矩张量反演方法[J]. 爆炸与冲击, 2017, 37(5): 945-950. doi: 10.11883/1001-1455(2017)05-0945-06
引用本文: 何永锋, 李锴, 刘炳灿, 姚国政, 赵克常, 张献兵, 曾乐贵. 基于面波数据的地下核爆炸的全元素矩张量反演方法[J]. 爆炸与冲击, 2017, 37(5): 945-950. doi: 10.11883/1001-1455(2017)05-0945-06
He Yongfeng, Li Kai, Liu Bingcan, Yao Guozheng, Zhao Kechang, Zhang Xianbing, Zeng Legui. Full moment tensor inversion method of underground nuclear explosionsbased on surface waves data[J]. Explosion And Shock Waves, 2017, 37(5): 945-950. doi: 10.11883/1001-1455(2017)05-0945-06
Citation: He Yongfeng, Li Kai, Liu Bingcan, Yao Guozheng, Zhao Kechang, Zhang Xianbing, Zeng Legui. Full moment tensor inversion method of underground nuclear explosionsbased on surface waves data[J]. Explosion And Shock Waves, 2017, 37(5): 945-950. doi: 10.11883/1001-1455(2017)05-0945-06

基于面波数据的地下核爆炸的全元素矩张量反演方法

doi: 10.11883/1001-1455(2017)05-0945-06
基金项目: 

国家自然科学基金项目 41374068

详细信息
    作者简介:

    何永锋(1966—),男,博士研究生,教授, heyfeng@sina.com

  • 中图分类号: O382.1

Full moment tensor inversion method of underground nuclear explosionsbased on surface waves data

  • 摘要: 区域分层介质模型下, 可以将地震波场描述为矩张量各分量作为权重的基本格林函数的线性组合,利用该理论地震波场可以反演实际天然地震或地下核爆炸的震源机制,反演结果中不同震源机制成分的比重,可以用来识别地下核爆炸,该系统方法越来越受到关注。给出了基于广义反射-透射系数方法的水平分层介质模型的地震波场正演公式,并对基于该公式的单台反演结果的准确性、稳定性、可靠性进行了理论分析,为利用该公式对实际地下核爆炸进行反演提供了理论基础,该方法对利用区域少量甚至是单站记录数据检测、识别地下核爆炸具有重要参考意义。
  • 图  1  理论格林函数

    Figure  1.  Filtered Green's functions

    表  1  理论地壳模型

    Table  1.   Theoretical crustal model

    d/km ρ/(g·cm-3) vS/(km·s-1) vP/(km·s-1) QS QP
    0 2.700 2.790 5.020 100.00 2 000.0
    2.000 2.700 3.000 5.400 150.00 2 000.0
    3.000 2.700 3.300 5.900 200.00 2 000.0
    5.488 2.700 3.400 6.100 600.00 2 000.0
    16.464 2.702 3.541 6.308 525.00 2 000.0
    21.952 2.807 3.703 6.597 500.00 2 000.0
    27.440 2.858 3.781 6.736 450.00 2 000.0
    32.928 2.875 3.807 6.782 400.00 2 000.0
    38.492 2.879 3.814 6.795 350.00 2 000.0
    44.996 3.372 4.573 8.147 179.00 2 000.0
    下载: 导出CSV

    表  2  不同深度下的方差缩减

    Table  2.   Variance reduction at different source depths

    RV/%
    8.0 km 8.5 km 9.0 km 9.5 km 10.0 km 10.5 km 11.0 km 11.5 km 12.0 km
    EXP 61.57 79.27 88.57 94.55 100 94.62 89.37 81.63 65.87
    CLVD 65.11 82.73 90.46 95.35 100 95.66 90.69 83.64 67.94
    DC 60.36 77.66 85.32 91.65 100 92.32 86.69 79.72 63.15
    X 59.79 75.82 83.97 90.22 100 90.38 84.20 76.15 61.22
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-01-27
  • 修回日期:  2016-08-29
  • 刊出日期:  2017-09-25

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