ZHANG Zhen 張振

• Ph.D. in Geotechnical Engineering, University of Chinese Academy of Sciences, 2021

• 2022-Present: Postdoctoral Fellow, Earth System Science Programme, Faculty of Science, The Chinese University of Hong Kong.
• 2021-2022: Research Assistant, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences.
• 2019-2020: Visiting PhD Student, Laboratory of Hydraulics, Hydrology and Glaciology, ETH Zürich.

• Environmental seismology
• Mass movements

• 2021, Excellence award for the president, Chinese Academy of Science
• 2020, Excellence award for the president, Chinese Academy of Science
• 2019, National Scholarship for Postgraduates
• 2017, National Scholarship for Postgraduates

1. Zhang, H., Deng, Y., Zhang, Z. & He, S. (2022). Power density-dependent friction weakening for long-runout landslides and its revelation of voulme and topographical effect. Acta Geotechnical. Doi: 10.1007/s11440-022-01644-z
2. Zhang, Z., Walter, F., McArdell, B., de Haas, T., Wenner, M., Chmiel, M., & He, S. (2021). Analyzing Bulk Flow Characteristics of Debris Flows Using Their High Frequency Seismic Signature. Journal of Geophysical Research: Solid Earth,126, e2021JB022755
3. de Haas, T., Åberg, A. S., Walter, F., & Zhang, Z. (2021). Deciphering seismic and normal-force fluctuation signatures of debris flows: an experimental assessment of effects of flow composition and dynamics. Earth Surface Processes and Landforms, Doi: 10.1002/esp.5168.
4. Chmiel, M., Walter, F., Wenner, M., Zhang, Z., McArdell, B., & Hibert, C. (2021). Machine Learning improves debris flow warning. Geophysical Research Letters, 48, e2020GL090874.
5. Zhang, Z., Walter, F., McArdell, B., Wenner, M., Chmiel, M., de Haas, T., & He, S. (2021). Insight from the particle impact model into the high frequency seismic signature of debris flows. Geophysical Research Letters, 48, e2020GL088994.
6. Liu, W., Ju, P., Zhang, Z., Chen, Z., & He, S. (2020). Simulating the process of the Jinshajiang landslide-caused disaster chain in October 2018. Bulletin of Engineering Geology and the Environment, 79(5):2189-2199
7. Zhang, Z., He, S., & Li, Q. (2020). Analyzing high-frequency seismic signals generated during a landslide using source discrepancies between two landslides. Engineering Geology, 272, 105640,
8. Zhang, Z., & He, S. (2019). Analysis of broadband seismic recordings of landslide using empirical Green’s function. Geophysical Research Letters, 46(9): 4628-4635
9. Zhang, Z., He, S., Liu, W., Liang, H., Yan, S., Deng, Y., Bai, X., & Chen, Z. (2019). Source characteristics and dynamics of the October 2018 Baige landslide revealed by broadband seismograms. Landslides, 16:777-785
10. Luo, Q., Chen, X., Gao, M., Li, Z., Zhang, Z., & Zhou, D. (2019). Simulating the near-fault large velocity pulses of the Chi-Chi (Mw7.6) earthquake with kinematic model. Journal of Seismology, 23: 25-38
11. Zhang, Z., Chen, X., Gao, M., Li, Z., & Li, Q. (2018). Simulation of the microtremor H/V spectrum based on the theory of surface wave propagation in a layered half-space. Acta Geophysica, 66:121-130