尹扶,
洪鹤庭,
李娱兰,
王宝善,
中国科学技术大学地球和空间科学学院, 合肥 230026
基金项目: 国家自然科学基金项目（41790462）和中国科学院稳定支持基础研究领域青年团队计划（YSBR-020）共同资助
详细信息
作者简介: 雷宇航, 男, 1992年生, 博士研究生, 研究方向为地震面波成像.E-mail: leiyh0703@mail.ustc.edu.cn
通讯作者: 王宝善, 男, 1976年生, 教授, 博士生导师, 主要从事地震学方面的研究.E-mail: bwgeo@ustc.edu.cn
中图分类号: P315;P631收稿日期:2021-06-22
修回日期:2021-10-29
上线日期:2021-12-10
Shallow structure imaging using higher-mode Rayleigh waves based on F-J transform in DAS observation
LEI YuHang,YIN Fu,
HONG HeTing,
LI YuLan,
WANG BaoShan,
School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
More Information
Corresponding author: WANG BaoShan,E-mail:bwgeo@ustc.edu.cn
MSC: P315;P631--> Received Date: 22 June 2021
Revised Date: 29 October 2021
Available Online: 10 December 2021
摘要
摘要:分布式声波传感（DAS）技术可以将现有城市通信光缆转化为密集宽频带地震观测系统，利用城市通信光缆进行主/被动源面波成像为城市浅地表结构成像和地下空间探测提供了新手段，具有广阔的应用前景.近年来大量研究表明，充分利用高阶面波信息能显著提升面波结构成像效果.为探索DAS记录中的高阶面波提取和利用的可行性，本文推导了适用于DAS系统地震记录提取多模式面波频散曲线的MF-J变换公式，并成功应用于白家疃光纤实验的主动源观测数据，提取了多模式频散曲线并反演构建了研究区高分辨、高精度的横波速度结构剖面.研究结果表明，MF-J方法能有效地从DAS主动源记录中提取多模态频散曲线，并能去除传统F-J方法中的交叉假频现象；基于多模式面波频散曲线反演的速度结构分辨率和置信度都明显优于只用基阶模态的反演.本文的研究结果揭示了利用城市通信光缆实现低成本高分辨率地下结构探测的可能性.
关键词: 分布式声波传感技术/
频率-贝塞尔变换/
浅地表地下结构/
高阶面波
Abstract:Distributed Acoustic Sensing (DAS) can transform existing urban standard telecommunication cables into dense broadband seismic observation systems. The use of urban communication optical cables for active/passive surface wave imaging provides a new way for urban near-surface imaging and underground space detection, and has broad application prospects. A large number of recent studies have shown that making full use of higher-mode surface wave information can significantly improve the near-surface imaging effect of surface wave. In order to explore the feasibility of extraction and utilization of higher-mode surface wave in DAS records, in this paper, we derive the MF-J transformation formula suitable for extracting multi-mode surface wave dispersion curves in DAS seismic records, and successfully apply them to the Baijia Tuan DAS experiment. Based on the active source observation data, the multi-mode dispersion curve was extracted and inverted to construct a high-resolution, high-precision shear wave velocity structure profile in the study area. The research results show that the MF-J method can effectively extract the high-mode dispersion curves from the DAS active source record, also could avoid the cross artifact in the traditional F-J method. The velocity structure resolution and detection depth based on the inversion of the high-mode dispersion curves are significantly better than the inversion using only the fundamental mode. The research results of this paper reveal the possibility of using urban telecommunication cables to realize low-cost and high-resolution underground structure detection.
Key words:Distributed acoustic sensing/
Frequency-Bessel transform/
Shallow underground spaces/
Higher-mode surface wave
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