吴华礼^1,,
陈晓非²,
潘磊²
1. 中国科学技术大学地球和空间科学学院, 合肥 230026
2. 南方科技大学地球与空间科学系, 广东深圳 518055

基金项目: 国家自然科学基金(4170465), 广东省领军人才项目(2016LJ06N652)资助


详细信息

作者简介: 吴华礼, 男, 1993年生, 硕士, 主要从事背景噪声面波勘探的理论和应用工作.E-mail:whl039@mail.ustc.edu.cn

中图分类号: P315

收稿日期:2019-05-22
修回日期:2019-06-12
上线日期:2019-09-05

S-wave velocity imaging of the Kanto basin in Japan using the frequency-Bessel transformation method

WU HuaLi^1,,
CHEN XiaoFei²,
PAN Lei²
1. School of Geophysics, School of Earth and Space Sciences, University of Science and Technology of China, Hefei 230026, China
2. Department of Earth and Space Sciences, Southern University of Science and Technology, ShenzhenGuangdong 518055, China


MSC: P315

--> Received Date: 22 May 2019
Revised Date: 12 June 2019
Available Online: 05 September 2019


摘要
摘要:将一种新的方法——频率-贝塞尔变换法（F-Jmethod）应用于日本NIED在关东盆地布设的MeSO-net台网的背景噪声数据中，证明频率-贝塞尔变换法可以有效地从背景噪声中提取高阶频散曲线.利用提取的基阶和高阶频散曲线反演关东盆地区域的沉积层和地震基岩层的S波速度结构，并将我们反演得到的S波速度结构与Koketsu等提出的日本综合速度结构模型进行对比讨论.我们的例子证明，在基阶面波的基础上，高阶面波能减少在反演中的非唯一性，得到更为准确的S波速度结构.
关键词: 频率-贝塞尔变换/
高阶面波/
背景噪声/
关东盆地/
S波速度结构

Abstract:We applied a new method, the Frequency-Bessel transformation method (F-J method), to the ambient noise data of MeSO-net which is run by National Institute for Earth Science and Disaster Resilience (NIED). The F-J method can extract fundamental-mode dispersion curves and higher-mode dispersion curves from ambient noise effectively. We inverted for the S-wave velocity structure using fundamental-mode and higher-mode dispersion curves and compared our models with JIVSM. Our example shows that using higher-mode dispersion curves on the basis of fundamental-mode dispersion curves can reduce nonuniqueness in inversion and allow us to obtain more precise S-wave velocity structure.
Key words:Frequency-Bessel transformation method/
Surface wave/
Ambient noise/
Kanto basin/
S-wave velocity structure



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