宋政宏^1,2,,
曾祥方^1,,,
徐善辉³,
胡久鹏³,
孙天为³,
王宝善^2,3
1. 中国科学院测量与地球物理研究所大地测量与地球动力学国家重点实验室, 武汉 430077
2. 中国科学技术大学地球和空间科学学院, 合肥 230026
3. 中国地震局地球物理研究所, 北京 100081

基金项目: 国家自然科学基金（41974067）和大地测量与地球动力学国家重点实验室开放基金（SKLGED2019-5-4-E）资助


详细信息

作者简介: 宋政宏, 男, 1995年生, 硕士, 研究方向为浅层面波成像.E-mail:zhhsong6@mail.ustc.edu.cn

通讯作者: 曾祥方, 男, 1984年生, 研究员, 主要从事地震层析成像, 地震震源参数研究.E-mail:zengxf@whigg.ac.cn

中图分类号: P315

收稿日期:2019-05-15
修回日期:2019-10-07
上线日期:2020-02-05

Distributed Acoustic Sensing for imaging shallow structure Ⅰ: active source survey

SONG ZhengHong^1,2,,
ZENG XiangFang^1,,,
XU ShanHui³,
HU JiuPeng³,
SUN TianWei³,
WANG BaoShan^2,3
1. State Key Laboratory of Geodesy and Earth's Dynamics, Institute of Geodesy and Geophysics, Chinese Academy of Science, Wuhan 430077, China
2. School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
3. Institute of Geophysics, China Earthquake Administration, Beijing 100081, China


More Information

Corresponding author: ZENG XiangFang,E-mail:zengxf@whigg.ac.cn

MSC: P315

--> Received Date: 15 May 2019
Revised Date: 07 October 2019
Available Online: 05 February 2020


摘要
摘要:近年来发展的新型地震观测系统——分布式光纤声波传感器（DAS，Distributed Acoustic Sensing）可以实现低成本高密度观测，有望提高浅层结构成像的精度以及分辨率.最近国内研发了一系列具有自主知识产权的DAS设备，为验证国产设备在浅层结构研究中的可行性以及应用效果，2018年7月我们开展了一次DAS观测实验.实验采集了50 kg落锤震源激发的地震信号，并采用多道面波分析方法提取了8~20 Hz频段的主动源Rayleigh波相速度频散曲线，得到了实验区浅层30 m的S波速度结构.获得的主动源面波频散曲线与共址检波器的结果吻合，也与背景噪声提取的结果具有较好的一致性，表明国产设备的可靠性和DAS在浅层结构主动源面波成像研究中的可行性.
关键词: 主动源/
分布式光纤声波传感器/
多道面波分析方法/
浅层结构

Abstract:In recent years, the internationally developed new seismic acquisition system, distributed acoustic sensing (DAS), has realized low-cost and high-density observation, which is expected to improve the resolution and quality of shallow-structure imaging. A series of DAS equipment with independent intellectual property rights have been developed in China, but the related testing works have yet to be carried out. In order to verify the feasibility of the distributed acoustic sensing in the study of shallow structure, we conducted a DAS observation experiment in July 2018. The seismic signal generated by a 50 kg falling source is collected in the experiment. The multi-channel surface wave analysis method is used to extract the Rayleigh wave phase velocity dispersion curve in the 8~20 Hz band. Using the data, this paper calculated the S-wave velocity structure of the shallow 30 m in the experimental area. The obtained surface wave dispersion data is in good agreement with the results of the co-located geophone, and is also consistent with the ambient noise calculation results, which shows the reliability of the domestic equipment and the feasibility of the DAS in active surface wave imaging in the shallow structure.
Key words:Active source/
Distributed Acoustic Sensing (DAS)/
Multi-channel analysis of surface wave/
Shallow structure



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