王辉^1,2,,
程久龙^1,2,
姚郁松²,
罗景程²,
魏文博³
1. 中国矿业大学(北京)煤炭资源与安全开采国家重点实验室, 北京 100083
2. 中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083
3. 中国地质大学(北京)地球物理与信息技术学院, 北京 100083

基金项目: 国家重点研发计划重点专项（2017YFC0804105），国家自然科学基金项目（41604064），中国矿业大学（北京）煤炭资源与安全开采国家重点实验室开发课题（SKLCRSM16KFA05），中国矿业大学（北京）煤炭资源与安全开采国家重点实验室大学生科技创新计划（SKLCRSM16DC09），中国矿业大学（北京）中央高校基本科研业务费（2015QD03），"深部探测技术与实验研究"专项课题（Sinoprobe-01）资助


详细信息

作者简介: 王辉, 男, 1987年生, 讲师, 主要从事电磁法数据采集、处理及正反演的研究.E-mail:wanghui@cumtb.edu.cn

中图分类号: P631

收稿日期:2018-06-26
修回日期:2019-01-14
上线日期:2019-03-05

A new method of noise deletion in magnetotelluric time-series based on impulse response of inter-station transfer function

WANG Hui^1,2,,
CHENG JiuLong^1,2,
YAO YuSong²,
LUO JingCheng²,
WEI WenBo³
1. State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Beijing 100083, China
2. College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
3. School of Geophysics and Information Technology, China University of Geoscience, Beijing 100083, China


MSC: P631

--> Received Date: 26 June 2018
Revised Date: 14 January 2019
Available Online: 05 March 2019


摘要
摘要:针对天然大地电磁场信号在人文活动密集地区易受噪声干扰的问题，本文提出利用两个同步测点天然电磁场时间序列之间的单位脉冲响应，合成本地点受干扰时段的数据，从而去除大地电磁噪声.首先，选择高信噪比时段的数据，采用最小二乘法，估算本地点与参考点之间的单位脉冲响应，再根据卷积定律，结合参考磁场合成本地点的磁场和电场.最后用合成数据替换含噪声时段数据，实现时间域去噪.实测高信噪比数据和含噪数据的处理结果表明，该方法可以高精度合成本地点磁场与电场信号，有效去除本地点电场和磁场噪声，包括相关噪声，提高大地电磁数据质量.
关键词: 大地电磁/
单位脉冲响应/
时间序列/
去噪

Abstract:A new method to construct synthetic natural electric and magnetic time series is proposed, in which the time series of local sites are derived using an impulse response and a reference (STIR). This method based on the assumption that the external source of the magnetic field is uniform, and the electric and magnetic fields acquired on the surface satisfy a time-independent linear relation in the frequency domain. According to the convolution theorem, we can synthesize natural electric and magnetic time series using the impulse responses of inter-station transfer function with a reference. Applying this method, two impulse responses need to be estimated:the quasi-MT impulse response tensor and the horizontal magnetic impulse response tensor. These impulse response tensors are related to the local horizontal electric and magnetic components with the horizontal magnetic components at a reference site, respectively. Some clean segments of time series are selected to estimate impulse responses by using the least-square (LS) method. A test with good quality of MT data shows that the resulted synthetic time-series agree with the natural electric and magnetic time series. For contaminated MT examples, when this method is used to remove noise present at the local site, the scatters of MT sounding curves are remarkably reduced and the data quality are improved.
Key words:Magnetotellurics/
Impulse response/
Time-series/
Noise deletion



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