<span>气枪震源波形走时变化分析的反褶积处理</span>-华南地震

文章信息/Info

Title:: Deconvolution Processing for Travel Time Variation Analysis of Air Gun Source Waveform

Author(s):: SHAO Ye1; ZHOU Qingyun2; 1. Guangdong Earthquake Agency, Guangzhou 510070，China；2. Yunnan Earthquake Agency，Kunming 650224，China

Keywords:: Air gun source; Travel time variation; Deconvolution; Velocity variation

摘要:: 利用云南省宾川主动源基地周边10 km范围内7个流动台站2017年2月气枪震源集中激发时段记录的气枪信号，使用干涉法计算了直接使用波形和将波形与参考台反褶积后的格林函数两种处理方法下气枪信号的走时变化。使用了气枪震源附近不同方位角的两个参考台的数据，以分析不同参考台对走时变化结果的影响。结果表明：反褶积能较为有效的压制气枪震源的时间、空间和频谱轻微不重复性导致的走时变化；反褶积能降低一些来源不明的伪走时变化；使用CKT2的数据反褶积的结果略优于CKT0，其可能原因是气枪阵列沿方位角的非均匀辐射。

Abstract:: Using the airgun signals recorded by seven mobile stations within 10 km range around the active source base of Binchuan，Yunnan Province，during the concentrated excitation period of the air gun source in February 2017，the travel time variation of the airgun signals under two processing methods，i.e. the direct waveform and the deconvolution of the waveform with the Green’s function of the reference station，is calculated by the interference method. The data of two reference stations with different azimuths near the air gun source are used to analyze the influence of different reference stations on the results of travel time variation. The results show that deconvolution can effectively suppress the travel time variation caused by slight non-repetition of time，space and frequency spectrum of air gun source; deconvolution can reduce some pseudo-travel time variation caused by unknown sources; data deconvolution using CKT2 is slightly better than CKT0，which may be due to the non-uniform radiation of air gun array along azimuth.