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首页|期刊导航|地震研究进展(英文)|3D S-wave velocity structure of the Ningdu basin in Jiangxi province inferred from ambient noise tomography with dense array

3D S-wave velocity structure of the Ningdu basin in Jiangxi province inferred from ambient noise tomography with dense array

Long Teng Xiangteng Wang Chunlei Fu Feng Bao Jiajun Chong Sidao Ni Zhiwei Li

地震研究进展(英文)2023,Vol.3Issue(1):70-80,11.
地震研究进展(英文)2023,Vol.3Issue(1):70-80,11.

3D S-wave velocity structure of the Ningdu basin in Jiangxi province inferred from ambient noise tomography with dense array

3D S-wave velocity structure of the Ningdu basin in Jiangxi province inferred from ambient noise tomography with dense array

Long Teng 1Xiangteng Wang 2Chunlei Fu 3Feng Bao 3Jiajun Chong 4Sidao Ni 4Zhiwei Li4

作者信息

  • 1. School of Earth and Space Sciences,University of Science and Technology of China,Hefei,230026,China
  • 2. Nanjing Center,China Geological Survey,Nanjing 210016,China
  • 3. East China University of Technology,Nanchang,330013,China
  • 4. State Key Laboratory of Geodesy and Earth's Dynamics,Innovation Academy for Precision Measurement Science and Technology,Wuhan,430077,China
  • 折叠

摘要

关键词

Ambient noise tomography/Dense array/S-wave velocity structure/Ningdu basin/Geothermal energy

Key words

Ambient noise tomography/Dense array/S-wave velocity structure/Ningdu basin/Geothermal energy

引用本文复制引用

Long Teng,Xiangteng Wang,Chunlei Fu,Feng Bao,Jiajun Chong,Sidao Ni,Zhiwei Li..3D S-wave velocity structure of the Ningdu basin in Jiangxi province inferred from ambient noise tomography with dense array[J].地震研究进展(英文),2023,3(1):70-80,11.

基金项目

This work was supported by China Geological Survey(DD20190083,DD20221662),National Natural Science Foundation of China(41904044,41974064,42174076,41874069),and Youth Innovation Promotion Association CAS(2019330).We would like to thank the editor and anonymous reviewers for their constructive comments and suggestions. (DD20190083,DD20221662)

地震研究进展(英文)

OACSCD

2096-9996

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