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    王凯

    • 特任教授
    • 教师英文名称:Kai Wang
    • 教师拼音名称:Wang Kai
    • 电子邮箱:
    • 学历:研究生(博士)毕业
    • 办公地点:917, School of Earth and Space Sciences, University of Science and Technology of China, Anhui, China
    • 学位:博士
    • 主要任职:Specially appointed Professor
    • 毕业院校:Macquarie University, Australia

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    论文发表

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    Journal papers


    In preparation:


    Cube2sph: A Toolkit Enabling Efficient and Accurate Continental-scale Seismic Wave Simulations using the SPECFEM3D Package, T.S. Liu, etc, resubmitted to Computers and Geosciences (2024).


    Lithospheric Structures of Mid-continent Rift Revealed by Full-waveform Joint Inversion of Ambient-Noise Data and Teleseismic P waves, Bin He, Kai Wang, Tianshi Liu, Ting Lei, Nanqiao Du, Suzan van der Lee, Fiona Ann Darbyshire, Andrew Frederiksen, Hejun Zhu, David Lumley, Qinya Liu, resubmitted to EPSL (2024).


    Published:


    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. 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. 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, 2019. Crustal deformation in southern California constrained by radial anisotropy from ambient noise adjoint tomography. Geophysical Research Letters, https://doi.org/10.1029/2020GL088580 (pdf, supply)

    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 (pdf, supply)

    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. (pdf, supplemental_material)

    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. (pdf)

    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. (pdf)

    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. (pdf)

    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. (pdf)


    Talks  and presentations

    2021/4: School of Earth and Space Sciences, University of Science and Technology of China. "Unveiling fine-scale structures of the Earth’s lithosphere by full wave seismic tomography" (invited)

    2021/4: SSA Annual meeting 2021, online. "Full-Waveform Joint Inversion of Ambient Noise Data and Teleseismic P Waves to Image the Subducted Slab Beneath Central California" link

    2019/10: Department of Earth Sciences, University of Toronto, Rockfest Seminar. “Full wave ambient noise tomography of the southern California plate boundary region” (invited)

    2019/10: Department of Physics, University of Toronto, Brewer-Wilson Seminar. “Unveiling the fine structure of the Earth’s lithosphere by full wave seismic tomography”(invited)

    2019/03: Department of Geophysics and Geomatics, China University of Geosciences (Wuhan). "Multi-component Full Wave Ambient Noise Tomography: Adjoint Method and Applications in Southern California" (invited)

    2018/12: AGU Fall meeting 2018, Washington D.C.. "Crustal Radial Anisotropy of Southern California Revealed by Multi-component Ambient Noise Adjoint Tomography"

    2018/11: Division of Mathematical Sciences, School of Physical & Mathematical Sciences,  Nanyang Technological University. "Multi-component Ambient Noise Adjoint Tomography: Methodology and its Applications in Southern California" (invited)


    Conference proceedings and abstracts

    2018/12, AGU Fall Meeting, Washington D.C.. Crustal radial anisotropy of Southern California revealed by multi-component ambient noise adjoint tomography. (Oral)

    2018/12, AGU Fall Meeting, Washington D.C.. Sensitivity kernels for multi-component ambient noise empirical Green’s functions based on adjoint method. (Poster)

    2017/12, AGU Fall Meeting, New Orleans. Refined crustal and uppermost structure of southern California by ambient noise adjoint tomography. (poster)

    2016/12, AGU Fall Meeting, San Francisco. Correction of phase velocity bias caused by strong directional noise sources in high-frequency ambient noise tomography: a case study in Karamay, China. (poster)

    2016/10, CGU annual meeting, Beijing. Correction of phase velocity bias caused by strong directional noise sources in high-frequency ambient noise tomography: a case study in Karamay, China. (Oral)

    Wang K., Luo Yinhe, Li Hao, 2014. The nature of ambient noise over a field in western Junggar Basin near Karamay, China, Proceedings of the 6th International Conference on Environmental and Engineering Geophysics, Near-surface and Geophysics and Environment Protection,92-94 (2014). (pdf)