Profile

• Educational and research experiences

2007                         Peking University                B.S.

2010                         Peking University                M.S.

2014                         UC Santa Cruz                    Ph.D.

2014-2017                Caltech                                Post-Doc Research Fellow

2017-                        Peking University                Assistant Professor

•  Academic Honors   

        

        2016                      Thousand-Youth Program

        2014                      Caltech Seismo-Lab Director Post-Doc Fellowship

        2013                      Outstanding Self-financed fellowship of Chinese Government

• Research Interests

1.Rupture process determination of Big earthquakes

 

Determining the rupture process of big earthquakes is the fundamental of earthquake studies, which also plays an important role in disaster relieving operations. In modern days, this task requires integrated adoption of seismic, geodetic and geologic observations. Because different observations have respective sensitivity to spatial and temporal information of the rupture processes, joint inversion exploit the different information achieving high resolution and stable inversion results.

Besides joint inversion, different inversion methods, e.g. linear or non-linear approaches and source parameterization methods, e.g. finite fault model and multi-point source, provides constrains of rupture processes from different perspectives. Below is the rupture model of the 2016 Kumamoto earthquake obtained by joint inversion of strong motion and geodetic observations.

Imaging technique is another strategy to determine the rupture processes. Adopting beam-forming techniques in global seismic networks, we can image the spatial and temporal information of the rupture processes. However, complicated earth structure is another source producing coherent energy of source images. These “artificial sources” need to be discriminated from real earthquake sources when interpreting the source images. We determined localized water reverberation phases produced by ocean bottom geometry, which was mis-interpreted as secondary sources. In the following figure, we show the wave field snapshot near the ocean floor and how such waves could be beamformed as coherent radiators.

2. Small earthquake detection

 

Besides large earthquakes, the fault also release elastic energy through small events. These small event serve as indicators for the fault geometry and stress loading and releasing processes. Thus detection of these small events is an important strategy to learn the physical structure and behavior of fault systems. My group probe into this problem through seismic network design and detection algorithms.

 

After the 2017 Jiuzhaigou earthquake, the research group of Han Yue and Shiyong Zhou deployed 80 short period seismic stations near the source region to detect aftershock activities. This network is locally refined as 9 sub-arrays, each composed of 8-16 seismic stations. Signal enhancement algorithms are designed for this network for better detection of aftershocks.

My group also achieve small event detection through artificial intelligence (AI) algorithms. As a popular machine learning algorithm, deep learning is widely used in research areas, which has large amount of training data. In seismology, the most straight forward application of deep learning is in the phase identification studies. We adopted convolutional and recurrent neural networks (CNN and RNN) in the event detection and phase picking algorithms and use manually picked P and S phases to train the network. The trained neural network achieved detection accuracy of higher than 98%. The following diagram shows the flowchart of the CNN and RNN neural networks.

3. Physical processes of fault systems

 

Besides the abrupt stress releasing process, i.e. earthquakes, the fault also release stresses through slow processes, e.g. slow-sips and creeping. These slow slips reflects the stress loading and releasing of fault planes, which may also reflects nucleation processes before big earthquakes. Therefore, these transitional slow-slip processes may provide useful information for earthquake short term predictions. In the study of 2016 Kumamoto earthquake, our group found transitional slow-slip signals from local GPS data before the mainshock, which may be associated with the nucleation of the mainshock. The following figure shows the GPS timeseries and seismic activities before the 2016 Mw 7.0 Kumamoto earthquake.

Paper Published    

2019

27. Lo, Y. C., Yue, H.*, Sun, J., Zhao, L., & Li, M. (2019). The 2018 Mw6. 4 Hualien earthquake: Dynamic slip partitioning reveals the spatial transition from mountain building to subduction. Earth and Planetary Science Letters, 524, 115729.

26. Zhou, Y., Yue, H.*, Kong, Q., & Zhou, S. (2019). Hybrid Event Detection and Phase‐Picking Algorithm Using Convolutional and Recurrent Neural Networks. Seismological Research Letters, 90(3), 1079-1087.

 

2018

25. Xibin T*, Yue H., Yiduo L, et al. Topographic loads modified by fluvial incision impact fault activity in the Longmenshan thrust belt, eastern margin of the Tibetan plateau[J]. Tectonics, 2018, 10.1029/2017TC004864

24. Yue H*, Zhou Y, Zhou S*, et al. The 2017 Jiuzhaigou Earthquake Aftershock‐Monitoring Experimental Network: Network Design and Signal Enhancement Algorithm[J]. Seismological Research Letters, 2018, 89(5): 1671-1679.

23. Sun J, Yue H*, Shen Z, et al. The 2017 Jiuzhaigou earthquake: A complicated event occurred in a young fault system[J]. Geophysical Research Letters, 2018, 45(5): 2230-2240.

22. Wang W*, Luo R, Yue H, et al. FRB 121102: A Starquake-induced Repeater?[J]. The Astrophysical Journal, 2018, 852(2): 140.

 

2017

21. Yue H*. Z. Ross, C. Liang, M. Simons, et al. The 2017 Kumamoto earthquake: a significant event in a fault-volcanic system. JGR: Solid Earth 2017, 122(11): 9166-9183.

20. Yue H*. J. Castol, C. Yu, L. Meng, Z. Zhan. Localized water reverberation phase and its impact on back-projection results. GRL, 2017, 44(19): 9573-9580.

19. Chao A. Yue H. Sun J*. Meng L. Two-stage rupture process of the 2015 Illapel earthquake. BSSA, 2017, 107(5): 2416-2426.

 

2016

18. L. Li, K.F. Cheung, Yue H., T Lay and Yefei Bai, Effects of dispersion in tsunami Green’s functions and implications for joint inversion with seismic and geodetic data: a case study of the 2010 Mentawa. GRL，2016,43(21)

17. S Xu, E Fukuyama, Yue H., JP Ampuero Simple Crack Models Explain Deformation Induced by Subduction Zone Megathrust Earthquakes, BSSA, 2016, 106(5): 2275-2289.

16. Yue H. , Simons M., Duputel Z. Jiang J., Fielding E., Liang C., Owen S., Moore  A., Riel B., Ampuero J.P. and Samsonov S.V., Depth varying rupture properties during the 2015 Mw 7.8 Gorkha (Nepal) earthquake, Tectonophysics. http://dx.doi.org/10.1016/j.tecto.2016.07.005

 

2015

15. Yue H, Lay T, Li L, et al. Validation of linearity assumptions for using tsunami waveforms in joint inversion of kinematic rupture models: Application to the 2010 Mentawai Mw 7.8 tsunami earthquake[J]. Journal of Geophysical Research: Solid Earth, 2015, 120(3): 1728-1747.

14. Hill E., Yue H., Barbot S., Hubbard J. Lay T., Hermawan I., Tapponnier P. Banerjee P., Feng L., Natawidjaja D. Sieh K.  The 2012 Mw 8.6 Wharton Basin earthquake from joint inversion of high-rate GPS and teleseismic data: Thermal runaway on young faults. J. Geophys. Res. . 2015, DOI: 10.1002/2014JB011703

 

2014

13. Yue H, Lay T, Rivera L, et al. Localized fault slip to the trench in the 2010 Maule, Chile Mw= 8.8 earthquake from joint inversion of high‐rate GPS, teleseismic body waves, InSAR, campaign GPS, and tsunami observations[J]. J. Geophys. Res., 2014,: DOI: 10.1002/2014JB011340

12. Yue H, Lay T, Rivera L, et al. Rupture process of the 2010 Mw 7.8 (2014), Mentawai tsunami earthquake from joint inversion of near‐field hr‐GPS and teleseismic body wave recordings constrained by tsunami observations. J. Geophys. Res., 2014, 119(7): 5574-5593.DOI: 10.1002/2014JB011082

11. Lay T, Yue H, Brodsky E E, et al. The 1 April 2014 Iquique, Chile, Mw 8.1 earthquake rupture sequence. Geophys Res. Lett., 2014. DOI: 10.1002/2014GL060238

 

2013

10. Yue, H., T. Lay, J. T. Freymueller, K. Ding, L. Rivera, N. A. Ruppert, and K. D. Koper (2013), Supershear rupture of the 5 January 2013 Craig, Alaska (Mw 7.5) earthquake, J. Geophys. Res. 2013JB010594;doi:10.1002/2013JB010594

9. Yue H., T. Lay, S. Y. Schwartz, L. Rivera, M. Protti, T. H. Dixon, S. Owen and A. V. Newman, (2013) The 5 September 2012 Nicoya, Costa Rica Mw 7.6 earthquake rupture process from joint inversion of high-rate GPS, strong-motion, and teleseismic P wave data and its relationship to adjacent plate boundary interface properties. J. Geophys. Res. 2013JB010187 doi:10.1002/jgrb.50379

8. Yue, H. and T. Lay (2013), Source Rupture Models for the Mw 9.0 2011 Tohoku Earthquake from Joint Inversions of High-Rate Geodetic and Seismic Data. Bull. Seis. Soc. Amer. May 2013103:1242-1255; doi:10.1785/0120120119

 

2012

7. Yue, H, T. Lay and K. D. Koper (2012), En Echelon and Orthogonal Fault Ruptures of the 11 April 2012 Great Intraplate Earthquakes. Nature, 490, 245-249, doi:10.1038/nature11492.

6. Yue, H., Y. J. Chen, E. Sandvol, J. Ni, T. Hearn, S. Zhou, Y. Feng, Z. Ge, A. Trujillo, Y. Wang, G. Jin, M. Jiang, Y. Tang, X. Liang, S. Wei, H. Wang, W. Fan, and Z. Liu (2012), Lithospheric and upper mantle structure of the northeastern Tibetan Plateau,  J. Geophys. Res., 117, B05307, doi:10.1029/2011JB008545.

5. Lay, T., H. Kanamori, C. J. Ammon, K. D. Koper, L. Ye, H. Yue, and T. M. Rushing (2012), Depth-varying rupture properties of subduction zone megathrust faults, J. Geophys. Res., 117, B04311, doi:110.1029/2011JB009133.

 

2011

4. Yamazaki, Y., T. Lay, K. F. Cheung, H. Yue, and H. Kanamori (2011), Modeling near-field tsunami observations to improve finite-fault slip models for the 11 March 2011 Tohoku earthquake, Geophys. Res. Lett., 38, L00G15, doi:10.1029/2011GL049130.

3. Yue, H., and T. Lay (2011), Inversion of high-rate (1 sps) GPS data for rupture process of the 11 March 2011 Tohoku earthquake (Mw 9.1), Geophys. Res. Lett., 38, L00G09, doi:10.1029/2011GL048700.

 

2010 - previous

2. Wei, S.,Y. J. Chen, E. Sandvol, S. Zhou, H. Yue, G. Jin et. al. (2010), Regional earthquakes in northern Tibetan Plateau: Implications for lithospheric strength in Tibet, Geophys Res. Lett, 37(19), L19307.

1. Yue H., Zhang Z. and Chen Y. J., (2008) Interaction between adjacent left-lateral strike-slip faults and thrust faults: the 1976 Songpan earthquake sequence. Chiness Sci. Bull. Volume 53, Number 16, 2520-2526, DOI: 10.1007/s11434-008-0210-z.