汶川地震科学钻探3号井孔附近微震震源参数确定及其意义

叶庆东, 丁志峰, 王生文, 余大新, 郑晨. 2017. 汶川地震科学钻探3号井孔附近微震震源参数确定及其意义. 地球物理学报, 60(7): 2716-2732, doi: 10.6038/cjg20170718
引用本文: 叶庆东, 丁志峰, 王生文, 余大新, 郑晨. 2017. 汶川地震科学钻探3号井孔附近微震震源参数确定及其意义. 地球物理学报, 60(7): 2716-2732, doi: 10.6038/cjg20170718
YE Qing-Dong, DING Zhi-Feng, WANG Sheng-Wen, YU Da-Xin, ZHENG Chen. 2017. Determining the source parameters of the microearthquakes near the third borehole of the Wenchuan Earthquake Fault Scientific Drilling (WFSD-3) and its implications. Chinese Journal of Geophysics (in Chinese), 60(7): 2716-2732, doi: 10.6038/cjg20170718
Citation: YE Qing-Dong, DING Zhi-Feng, WANG Sheng-Wen, YU Da-Xin, ZHENG Chen. 2017. Determining the source parameters of the microearthquakes near the third borehole of the Wenchuan Earthquake Fault Scientific Drilling (WFSD-3) and its implications. Chinese Journal of Geophysics (in Chinese), 60(7): 2716-2732, doi: 10.6038/cjg20170718

汶川地震科学钻探3号井孔附近微震震源参数确定及其意义

  • 基金项目:

    国家自然科学基金(41504073),中国地震局第一监测中心创新主任基金(FMC2016013)和中国地震局震情跟踪课题(2017010124)联合资助

详细信息
    作者简介:

    叶庆东, 男, 1984年生, 工程师, 博士, 研究方向为微震震源参数确定与背景噪声成像.E-mail:yeqingdongg@126.com

  • 中图分类号: P315

Determining the source parameters of the microearthquakes near the third borehole of the Wenchuan Earthquake Fault Scientific Drilling (WFSD-3) and its implications

  • 基于微震监测仪器频带及波形记录的时频特征,我们筛选出汶川地震科学钻探3号井孔周围微震台阵2012年记录的218个ts-tp < 1 s的微震.通过盖戈法与和达法相结合确定微震震源的几何参数,发现这些微震分布大体呈NE-SW展布,与龙门山断裂带的走向基本一致.无论是采用《地震台站观测规范》中的量规函数(量规函数GF)还是李学政等(2003)的量规函数(量规函数LXZ),近震震级均与矩震级呈现出较好的线性关系,向震级小的一端延伸时都表现为ML < MW,但采用李学政等的量规函数时该趋势更加明显.同时采用Brune和Boatwright震源谱衰减模型对观测震源谱的拟合表明拐角频率具有模型依赖性:基于Brune模型拟合得到的拐角频率大于基于Boatwright模型得到的拐角频率.无论基于哪一种模型,矩震级与拐角频率、破裂半径的对数线性关系均较弱,与应力降、视应力的对数则存在较好的线性关系.这些关系不支持应力降、折合能量、视应力为常数的观点,表明微震与大地震的震源物理过程存在差异.视应力与应力降成比例,比例系数小于0.5,表明破裂动力学模式符合Savage-Wood模式.近震震级与矩震级拟合关系Mw=a+bMLb的大小与应力降和地震矩的关系有关,ΔσM0γ,则b=1/(1+γ),因此从b的大小可以粗略地判断应力降与地震矩的关系.本文对应于γ≈1的情况,与基于量规函数LXZ得到的近震震级与矩震级关系中系数b=0.53吻合,这说明仅从辐射能量的角度考虑量规函数LXZ较量规函数GF准确.

  • 加载中
  • 图 1 

    微震台网位置及台站分布

    Figure 1. 

    The location of the microseismic network and the distributions of the microseismic stations

    图 2 

    微震和短周期仪器对同一个微震事件的垂向记录及其频时分析

    Figure 2. 

    The vertical component waveforms and the corresponding frequency-time analysis result of a microearthquake recorded by microseismograph (a) and short period seismograph (b)

    图 3 

    微震位置分布及走时残差

    Figure 3. 

    The distributions of microearthquakes and the travel time residuals

    图 4 

    微震事件201205242241(黑色)与201205262138(灰色)的波形记录

    Figure 4. 

    The waveforms of microseismic events 201205242241 (black) and 201205262138 (gray)

    图 5 

    震源谱拟合的例子

    Figure 5. 

    An example for source spectrum fitting

    图 6 

    震级-频度关系及近震震级-矩震级的关系

    Figure 6. 

    The magnitude-frequency distribution and the local magnitude-moment magnitude relationship

    图 7 

    矩震级与静力学参数关系

    Figure 7. 

    The relationship between moment magnitude and static parameters

    图 8 

    动力学参数与矩震级的关系

    Figure 8. 

    The relationship between dynamical parameters and moment magnitude

    表 1 

    事件201205242241和201205262138的定位结果

    Table 1. 

    The locations of event 201205242241 and 201205262138

    下载: 导出CSV

    表 2 

    矩震级与震源静力学参数拟合相关的系数

    Table 2. 

    Fitting coefficients of the relationships between moment magnitude and static parameters

    下载: 导出CSV
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出版历程
收稿日期:  2017-01-23
修回日期:  2017-04-07
上线日期:  2017-07-05

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