地球和空间科学学院

王凯

办公电话:

邮箱:wangk@ustc.edu.cn (办公室917)

个人主页:https://faculty.ustc.edu.cn/wangk_zh

科研领域:(1)高性能计算和波动方程数值模拟;(2)地震、噪声全波形反演;(3)地壳地幔结构成像和各向异性;(4)火山地震学;(5)非线性反演和最优化问题

 个人简介

王凯,1991年出生,湖北广水人。现任中国科学技术大学地球和空间科学学院特任教授、博士生导师。2012年本科毕业于中国地质大学(武汉)地球物理实验班,2019年博士毕业于澳大利亚麦考瑞大学地球与行星科学系,先后在加拿大多伦多大学,麦考瑞大学和新加坡南洋理工大学从事博士后研究工作。2023年2月受国家海外高层次人才计划青年项目资助,全职回国工作。主要从事地震全波形反演方法研发以及其在壳幔结构成像中的应用,在GRL,JGR:Solid Earth,EPSL,GJI等发表论文16篇,其中第一或通讯作者9篇,担任GRL,JGR:Solid Earth,SRL,GJI等多个国际学术期刊审稿人。

 工作经历

2023.02-至今 中国科学技术大学,地球和空间科学学院,特任教授

2021.10-2023.01 新加坡南洋理工大学,数理学院,Research Fellow

2020.02-2021.10 澳大利亚麦考瑞大学,地球与行星科学系,博士后

2018.12-2019.12 加拿大多伦多大学,物理学院,博士后

 教育经历

2015.4-2018.12 澳大利亚麦考瑞大学,地球与行星科学系,地球物理学博士

2012.9-2015.4 中国地质大学(武汉),地球物理与空间信息学院,地球物理学研究生

2008.9-2012.7 中国地质大学(武汉),地球物理与空间信息学院,地球物理学学士

 研究重点和招生方向

基于波动方程和伴随法的地震全波形反演方法与程序研发;多分量背景噪声全波形反演;基于密集台阵的远震全波形反演;密集台阵与噪声成像;地震各向异性研究岩石圈形变;火山区地震层析成像;多数据联合反演

课题组目前拟招收1-2名特任副研、博士后,2-3名博士、硕士研究生,欢迎对地震波数值模拟、全波形反演、背景噪声成像、各向异性等方向感兴趣的同学加入我们的团队!请直接发送邮件与本人联系:wangk@ustc.edu.cn

 代表性研究成果

(1)建立了多分量噪声全波形反演方法体系,为研究壳幔精细结构及形变机制提供了关键的技术支撑(GJI 2018; JGR:Solid Earth 2019;GRL 2020)

(2)发展了基于密集台阵观测的远震全波形反演技术,极大地提高了岩石圈结构成像的分辨率(GJI 2019; BSSA 2021)

(3)提出了噪声和远震数据的三维全波形联合反演新方法,可提升模型的分辨率和可靠性,揭示了加州中部俯冲带动力学过程 (JGR:Solid Earth 2021)

 课题项目

2023.11-2026.10 科技部重点研发计划课题,2023YFC3012002,巴颜喀拉活动地块孕震背景与深部变形特征,课题主持

2023.2-2026.2 国家海外高层次人才计划青年项目,主持

 邀请报告

2022, Feb: “Multiparameter adjoint tomography of ambient noise and earthquake data to image the finite-scale structure of the Earth’s lithosphere”, School of Earth and Space Sciences, University of Science and Technology of China.

2021, Apr: “Unveiling fine-scale structures of the Earth's lithosphere by full wave seismic tomography”, School of Earth and Space Sciences, University of Science and Technology of China.

2020, Jan: “Unveiling the fine structure of the Earth's lithosphere by full wave seismic tomography”,Department of Ocean Science and Engineering, Southern University of Science and Technology.

2019, Oct: “Full wave ambient noise tomography of the southern California plate boundary region”, Rockfest Seminar, Department of Earth Sciences, University of Toronto.

2019, Oct: “Unveiling the fine structure of the Earth’s lithosphere by full wave seismic tomography”, Brewer-Wilson Seminar, Department of Physics, University of Toronto.

2019, Apr: “Multi-component Full Wave Ambient Noise Tomography: Adjoint method and its Applications in Southern California”, Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan.

2018, Nov: “Multi-component ambient noise adjoint tomography: methodology and its applications in southern California”, Division of Mathematical Sciences, School of Physical & Mathematical Sciences, Nanyang Technological University.

 论文发表

18. He, B., Wang, K., Liu, T., Lei, T., Du, N., van der Lee, S., Darbyshire, F.A., Frederiksen, A., Zhu, H., Lumley, D. and Halls, H., 2024. Crustal and uppermost mantle structures of the North American Midcontinent Rift revealed by joint full-waveform inversion of ambient-noise data and teleseismic P waves. Earth and Planetary Science Letters, 641, p.118797.

17. Liu, T., Wang, K., Xie, Y., He, B., Lei, T., Du, N., Tong, P., Yang, Y., Rychert, C.A., Harmon, N. and Grasselli, G., 2024. Cube2sph: A toolkit enabling flexible and accurate continental-scale seismic wave simulations using the SPECFEM3D_Cartesian package. Computers & Geosciences, p.105644.

16. Chen, J., Wu, S., Xu, M., Nagaso, M., Yao, J., Wang, K., Li, T., Bai, Y. and Tong, P., 2023. Adjoint‐State Teleseismic Traveltime Tomography: Method and Application to Thailand in Indochina Peninsula. Journal of Geophysical Research: Solid Earth, 128(12), p.e2023JB027348.

15. Xu, M., Wang, K., Chen, J., Yu, D. and Tong, P., 2023. Receiver Function Adjoint Tomography for Three‐Dimensional High‐Resolution Seismic Array Imaging: Methodology and Applications in Southeastern Tibet. Geophysical Research Letters, 50(19), p.e2023GL104077.

14. Wang, K., Wu, S., & Tong, P., 2022. Crustal deformation in the Sierra Nevada and Walker Lane region inferred from P-wave azimuthal anisotropy. Journal of Geophysical Research: Solid Earth, 127, e2022JB024554, doi.org/10.1029/2022JB024554

13. Wang, K., Wang, Y., Song, X., Tong, P., Liu, Q., Yang Y., 2021. Full-Waveform Inversion of High-frequency Teleseismic Body Waves based on Multiple Plane Wave Incidence: Methods and Practical Applications. Bull. Seismol. Soc. Am., 1–15, doi.org/10.1785/0120210094

12. Zhao, Y., Guo, Z., Wang, K., & Yang, Y. J., 2021. A Large Magma Reservoir beneath the Tengchong Volcano Revealed by Ambient Noise Adjoint Tomography. Journal of Geophysical Research: Solid Earth, 126, e2021JB022116. https://doi.org/10.1029/2021JB022116

11. Wang, K., Yang, Y., Jiang, C., Wang, Y., Tong, P., Liu, T., & Liu, Q., 2021. Adjoint tomography of ambient noise data and teleseismic P waves: Methodology And Applications To Central California. Journal of Geophysical Research: Solid Earth, 126, e2021JB021648. https://doi.org/10.1029/2021JB021648

10. Wu S.; J. Yao; S. Wei; J. Hubbard; Y. Wang; Y. Htwe; M. Thant; X. Wang; K. Wang; T. Liu; Q. Liu, 2021. New insights into the structural heterogeneity and geodynamics of the Indo-Burma subduction zone from ambient noise tomography. Earth and Planetary Science Letters, doi.org/10.1016/j.epsl.2021.116856

9. Tong P., J. Yao, Q. Liu, T. Li, K. Wang, S. Liu, Y. Cheng, and S. Wu, 2020. Crustal rotation and fluids: Factors for the 2019 Ridgecrest earthquake sequence? Geophysical Research Letters, https://doi.org/10.1029/2020GL090853

8. Wang K.*, C. Jiang*, Y. Yang, V. Schulte-Pelkum, Q. Liu, 2020. Crustal deformation in southern California constrained by radial anisotropy from ambient noise adjoint tomography. Geophysical Research Letters, https://doi.org/10.1029/2020GL088580

7. Lin C., V. Monteiller, K. Wang*, T. Liu, P. Tong and Q. Liu, 2019. High-frequency seismic wave modeling of the deep Earth based on hybrid methods and spectral-element simulations: a conceptual study. Geophysical Journal International, doi.org/10.1093/gji/ggz413

6. Wang K., Q. Liu, and Y. Yang, 2019. Three-Dimensional Sensitivity Kernels for Multi-component Empirical Green's Functions From Ambient Noise : Methodology and Application to Adjoint Tomography. Journal of Geophysical Research: Solid Earth,https://doi.org/10.1029/2018JB017020

5. Wang K.*, Y. Yang, P. Basini, P. Tong, C. Tape, and Q. Liu, 2018. Refined crustal and uppermost structure of southern California by ambient noise adjoint tomography. Geophysical Journal International, 215(3), 844-863.

4. Guo Z., K. Wang, Y. Yang, Y. Tang, Y, Chen, and S.-H. Hung, 2018. The origin and mantle dynamics of Quaternary intra-plate volcanism in Northeast China from joint inversion of surface wave and body wave. Journal of Geophysical Research: Solid Earth, 123. https://doi.org/10.1002/2017JB014948.

3. Wang K., Y. Luo, Y. Yang., 2016. Correction of phase velocity bias caused by strong directional noise sources in high-frequency ambient noise tomography: a case study in Karamay, China. Geophysical Journal International, 205(2), 715-727.

2. Luo Y., Y. Yang, Y. Xu, H. Xu, K. Zhao, K. Wang, 2015. On the limitations of interstation distances in ambient noise tomography. Geophysical Journal International, 201(2), 652-661.

1. Wang K., Luo Yinhe, Zhao Kaifeng, Zhang Limeng, 2014. Body waves revealed by spatial stacking on long-term cross-correlations of ambient noise, Journal of Earth Science , 25(6): 977-984.