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基于背景噪声互相关函数的地震观测密集台阵时钟偏差分析方法
引用本文:田原,王伟涛,李丽,于常青,张海明. 基于背景噪声互相关函数的地震观测密集台阵时钟偏差分析方法[J]. 北京大学学报(自然科学版), 2020, 56(4): 638-648. DOI: 10.13209/j.0479-8023.2020.043
作者姓名:田原  王伟涛  李丽  于常青  张海明
作者单位:1. 中国电子科学研究院, 北京 1000412. 中国地震局地球物理研究所, 北京 1000813. 中国地质科学院地质研究所, 北京 1000374. 北京大学地球与空间科学学院, 北京 100871
基金项目:国家重点研发计划(2018YFC1503200)和中国地震局地球物理研究所中央级公益性科研院所基本科研业务费专项(DQJB18B26)资助
摘    要:利用地震观测台阵中相邻台站间背景噪声互相关函数随时间的偏移的特性,考虑参考互相关函数、噪声源变化、反演方法和数据误差的影响,给出基于背景噪声互相关函数的密集台阵时钟偏差分析及其误差评价方法。对盐源短周期地震观测密集台阵的单台时钟偏差分析结果表明,基于背景噪声互相关函数的时钟偏差分析方法可以给出连续的单台时钟偏差,并能够筛选出有明显时钟偏差的台站及偏差出现的时段。该台阵的209个台站中,有17个台站在观测期内出现大于1 s的时钟偏差,可能与仪器数据采集装置的硬件或软件故障有关。

关 键 词:地震观测密集台阵  背景噪声互相关函数  时钟偏差分析  噪声源分布
收稿时间:2019-06-24

A Synchronizing Method for Dense Seismic Array Based on Ambient Noise Correlation Function
TIAN Yuan,WANG Weitao,LI Li,YU Changqing,ZHANG Haiming. A Synchronizing Method for Dense Seismic Array Based on Ambient Noise Correlation Function[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2020, 56(4): 638-648. DOI: 10.13209/j.0479-8023.2020.043
Authors:TIAN Yuan  WANG Weitao  LI Li  YU Changqing  ZHANG Haiming
Affiliation:1. China Academy of Electronics and Information Technology, Beijing 1000412. Institute of Geophysics, China Earthquake Administration, Beijing 1000813. Institute of Geology, Chinese Academy of Geological Science, Beijing 1000374. School of Earth and Space Sciences, Peking University, Beijing 100871
Abstract:This paper develops a NCF-based array synchronizing and error-estimation method employing the daily time shift of NCFs between nearby stations to estimate the stability of the timing system of a short-term but densely deployed seismic array. The error related to the reference NCF, the temporal change of ambient noise field, the data error and the optimization method in inversion are all estimated and correspondingly corrected based on the characteristics of a dense seismic array. The proposed method could effectively calculate the daily clock shift of a seismic array and pick out the time period of stations with obvious clock error. As an example, among the 209 stations of Yanyuan Seismic Array, it is found that 17 stations have obvious clock error with time shift over 1 s. These clock errors might be caused by the hardware or software problems related to the data acquisition system.
Keywords:dense seismic array  ambient noise cross-correlation function  clock error analysis  noise source distribution  
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