摘要
应用S变换对比分析云南宾川地震信号发射台单次气枪激发信号与同当量天然地震信号在传播过程中的波形和频率特征,并基于参考台聚类分析结果,对其他接收台站的地震信号进行线性叠加和相位加权叠加,研究结果表明:(1)气枪信号传播过程中主频为3~6 Hz,可以在距离为151 km的台站检测到信号,传播过程中能量衰减较慢。天然地震信号主频较高,在传播7.7 km时的主频为10~20 Hz,传播距离约为60 km,传播过程中能量衰减较快;(2)经过2 000余次的线性叠加和相位加权叠加,可以分别在距离为225 km和350 km的台站检测到气枪信号。与天然地震信号相比,气枪信号数据丰富、衰减慢、传播距离远,利用气枪数据可以研究更大范围的地壳介质结构。
This article analyzes the waveform and frequency characteristics of the singles triggered by air-gun excitation and equivalent natural earthquake by S-transform We stack the signals of other stations and analyze the propagation distance of air-gun signals after linear stacking and phase-weighted stacking based on clustering analysis to the reference station The results show that:(1)the dominant frequency of air-gun signal is3-6Hz,and the station with distance of151km can receive the signal and its attenuation is slow While the dominant frequency of equivalent natural earthquake is higher than air-gun signals,it is10-20Hz with distance of77km Its propagation distance reaches60km and its attenuation is faster(2)After stacking the same number of signals about2000times by linear stacking and phase weighted stacking,the stations with distance of225km and350km can receive the air-gun signals Compared with the signals from natural earthquakes,the signals of the air-gun are rich,the attenuation is slow and the propagation distance is far Applying airgun source can study a wider range of crustal medium structures
作者
向涯
王彬
杨润海
王伟涛
杨海燕
XIANG Ya;WANG Bin;YANG Runhai;WANG Weitao;YANG Haiyan(School of Resource Environment and Earth Sciences,Yunnan University,Kunming 650091,Yunnan,China;Yunnan Earthquake Agency,Kunming 650024,Yunnan,China;Institute of Geophysics,China Earthquake Administration,Beijing 100081,China)
出处
《地震研究》
CSCD
北大核心
2017年第4期605-612,共8页
Journal of Seismological Research
基金
国家自然科学基金(41474048)
云南省陈颙院士工作站专项经费(2014IC007)联合资助
关键词
宾川主动源
气枪激发
地震信号
聚类分析
信号叠加
波形特征
S变换
Binchuan active transmitting seismic station
airgun excitation
earthquake signals
Hierarchical clustering
signal stacking
waveform characteristic
S-transform
