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李正波
研究助理教授

李正波,博士,南方科技大學(xué)研究助理教授。2020年獲中國(guó)科學(xué)技術(shù)大學(xué)地球物理學(xué)博士學(xué)位。主要從事面波成像方向研究,迄今已在GRL、JGR、SRL等地球物理專(zhuān)業(yè)期刊發(fā)表SCI論文十余篇。主持國(guó)家自然科學(xué)基金青年、面上項(xiàng)目,國(guó)家重點(diǎn)研發(fā)專(zhuān)項(xiàng)專(zhuān)題、子課題等多項(xiàng)項(xiàng)目。擔(dān)任JGR、SRL等期刊審稿人。


教育背景:

2010--2014          中國(guó)科學(xué)技術(shù)大學(xué),少年班學(xué)院,學(xué)士學(xué)位

2014--2020          中國(guó)科學(xué)技術(shù)大學(xué),地球和空間科學(xué)學(xué)院,博士學(xué)位


工作經(jīng)歷:

2022-至今            南方科技大學(xué),研究助理教授

2020--2022          南方科技大學(xué),博士后


研究領(lǐng)域:

高階面波觀測(cè)與應(yīng)用: 開(kāi)發(fā)了CC-FJpy程序包,發(fā)展了FJ-VoroTomo方法,并將其大量應(yīng)用于多階面波觀測(cè)與成像中。

漏能振型觀測(cè)與應(yīng)用:分別使用F-J方法從地震數(shù)據(jù)和背景噪聲數(shù)據(jù)中觀測(cè)到了多階漏能振型頻散曲線,并實(shí)現(xiàn)了面波和漏能振型頻散曲線聯(lián)合反演縱、橫波速度結(jié)構(gòu)。

人工智能在地震學(xué)中應(yīng)用:發(fā)展了TraceNet、DisperNet等地震學(xué)實(shí)用神經(jīng)網(wǎng)絡(luò)。


論文專(zhuān)著:

1.         Zhou, J., Li, Z.*, & Chen, X.*. (2023). Extending the frequency band of surface-wave dispersion curves by combining ambient noise and earthquake data and self-adaptive normalization. Journal of Geophysical Research: Solid Earth, 128, e2022JB026040. https://doi.org/10.1029/2022JB026040

2.         Li, Z.*, Dong, S., Shi, C., Fu, L., Pan, L., Wang, J., & Chen, X.*. (2023) Multiple Voronoi partition improves multimodal dispersion imaging from ambient noise: A case study of Lasso dense array. Journal of Geophysical Research: Solid Earth, 128, e2022JB026081.

3.         Dong, S., Li, Z.*, Hu, F., Yu, Z., & Chen, X. (2023). TraceNet: An Effective Deep‐Learning‐Based Method for Baseline Correction of Near‐Field Acceleration Records. Seismological Research Letters.

4.         Guo, W., Li, Z.*, Zhao, S., & Chen, X. (2023). Characterizing the shallow structure with the multimodal dispersion curves and the body wave refraction traveltimes from deep seismic sounding data. Frontiers in Earth Science, 10, 1945.

5.         Chen, J., Pan, L., Li, Z., & Chen, X.*. (2022). Continental Reworking in the Eastern South China Block and its Adjacent Areas Revealed by F‐J Multimodal Ambient Noise Tomography. Journal of Geophysical Research: Solid Earth, e2022JB024776.

6.         Yang, B., Li, Z., Zeng, L., & Chen, X.*. (2022). Simulation of thermoelastic wave propagation in 3-D multilayered half-space media. Geophysical Journal International, 232(2), 1408-1426.

7.         Zhang, S., Zhang, G., Feng, X., Li, Z., Pan, L., Wang, J., & Chen, X*. (2022). A crustal LVZ in Iceland revealed by ambient noise multimodal surface wave tomography. Frontiers in Earth Science, 10, 1008354.

8.         Shi, C., Ren, H., Li, Z., & Chen, X.*. (2022). Calculation of normal and leaky modes for horizontal stratified models based on a semi-analytical spectral element method. Geophysical Journal International, 230(3), 1928-1947.

9.         Fu, L., Pan, L., Li, Z., Dong, S., Ma, Q., Chen, X.*. (2022) Improved High‐resolution 3D Vs Model of Long Beach, CA: Inversion of Multimodal Dispersion Curves from Ambient Noise of a Dense Array. Geophysical Research Letters. 49(4), e2021GL097619.

10.       Li, Z.*, Shi, C., Ren, H., Chen, X.*. (2022) Multiple leaking mode dispersion observations and applications from ambient noise cross‐correlation in Oklahoma. Geophysical Research Letters.49(1), e2021GL096032.

11.       Li, Z., Shi, C., & Chen, X.*. (2021). Constraints on crustal P wave structure with leaking mode dispersion curves. Geophysical Research Letters, 48, e2020GL091782. https://doi.org/10.1029/2020GL091782

12.       Dong, S., Li, Z., Chen, X.*, Fu, L. (2021) DisperNet: An Effective Method of Extracting and Classifying the Dispersion Curves in the Frequency–Bessel Dispersion Spectrum. Bulletin of the Seismological Society of America. doi: https://doi.org/10.1785/0120210033

13.       Li, Z., Zhou, J., Wu, G., Wang, J., Zhang, G., Dong, S., . . . , Chen, X.*. (2021). CC‐FJpy: A Python Package for Extracting Overtone Surface‐Wave Dispersion from Seismic Ambient‐Noise Cross Correlation. Seismological Research Letters, 92(5) :3179-3186. https://doi.org/10.1785/0220210042

14.       Qian, Y.*, Li, Z., Chen, X. (2021). An Improved Method for Computing Broadband Green’s Functions of Surface Sources and Its Application to Inverting the Processes of the 2017 Xinmo Landslide. Seismological Research Letters, 92(5): 3113–3125. doi: https://doi.org/10.1785/0220200474

15.       Li, Z., & Chen, X.*. (2020). An effective method to extract overtones of surface wave from array seismic records of earthquake events. Journal of Geophysical Research: Solid Earth, 125, e2019JB018511. https://doi.org/10.1029/2019JB018511

16.       Yu, H., Zhang, W., Zhang, Z., Li, Z., Chen, X.*. (2020) Investigation on the Dynamic Rupture of the 1970 Ms 7.7 Tonghai, Yunnan, China, Earthquake on the Qujiang Fault. Bulletin of the Seismological Society of America, 110(2): 898–919. doi: https://doi.org/10.1785/0120190185

17.       Zhang, W., Zhang, Z., Fu, H., Li, Z., Chen, X.*. (2019). Importance of spatial resolution in ground motion simulations with 3-D basins: An example using the Tangshan earthquake. Geophysical Research Letters, 46, 11915– 11924. https://doi.org/10.1029/2019GL084815


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