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基于水库气枪震源数据的频域水准比例因子反褶积方法分析 被引量:2

Analysis of Frequency Domain Water-level Deconvolution Method Based on Reservoir Airgun Source Data
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摘要 基于2016年福建南一水库气枪实验资料,利用频率域水准因子反褶积方法和互相关时延检测技术,研究水准比例因子及台站的背景噪声水平对反褶积计算结果的影响,并对反褶积法消除不同枪压引起的震源影响效果进行分析。结果表明:(1)水准比例因子越小,反褶积计算后的波形信噪比越小,当水准比例因子取值过小时,走时识别误差较大;(2)台站气枪记录的信噪比越大,走时识别精度越高,参考台记录的信噪比对结果的影响远大于远场台,当远场台记录的信噪比大于10时,走时误差一般小于6ms,而当参考台记录的信噪比为30左右时,走时误差可能达到20ms;(3)气枪震源差异较大时,频域水准反褶积方法去除震源效应的效果较好,而在震源差异较小时,可能引入方法误差。 Based on the experimental data of 2016 Fujian Nanyi reservoir airgun,we adopted the frequency domain water-level deconvolution method and cross-correlation time delay detection technique,studied the influence of level scaling factor and the background noise level of the station on deconvolution calculation results,and analyzed the effect of deconvolution on eliminating the influence of the source caused by different airgun pressures. The results showed that:(1) When the level scaling factor is smaller,the signal to noise ratio of the waveform after the deconvolution is smaller,but the identification error of travel time is greater.(2) When the SNR of station record is higher,the recognition accuracy of travel time is higher,and the influence of SNR on the reference station record is far greater than the far station. When the SNR of the far station record is more than 10,the error of travel time is within 6ms,but when the SNR of the reference station record is30,the travel time error may reach to 20ms.(3) When the airgun source difference is big,the frequency domain leveling deconvolution method has a better effect on eliminating the source influence,but the method error may be introduced when the source difference is small.
作者 游秀珍 李军 林彬华 黄艳丹 巫立华 郭阳 You Xiuzhen;Li Jun Lin;Binhua Huang Yandan;Wu Lihua;Guo Yang(Fujian Earthquake Agency,Fuzhou 350003,Chin)
机构地区 福建省地震局
出处 《中国地震》 北大核心 2018年第1期14-24,共11页 Earthquake Research in China
基金 国家自然科学基金"气枪震源在地壳介质变化监测中的精度及影响因素分析"(41774068) 福建省地震局科技基金专项(SF201709)共同资助
关键词 大容量气枪 频率域水准反褶积 互相关时延 格林函数 Large volume airgun Water-level deconvolution in frequency domain Crosscorrelation time delay Green's function
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