Publications

* indicates corresponding author, ♢ indicates student advisee

2025

Agroseismology: unraveling the impact of farming practices on soil hydrodynamics

Qibin Shi*, David R Montgomery, Abigail LS Swann, Nicoleta C Cristea, Ethan Williams, Nan You, Joe Collins, Ana Prada Barrio, Simon Jeffery, et al.

In revision for ScienceView Paper

Concentrated rupture of the 2022 M 6.6 Luding earthquake bounded by stress and geometry barriers

Xinzhong Yin♢, Qibin Shi*, Wenze Deng, Yingfeng Zhang, Zhangfeng Ma, Xiaoshu Li, Jiuhui Chen, Jinrong Su, and Shengji Wei

Bulletin of the Seismological Society of America

Multiplexed distributed acoustic sensing offshore central Oregon

Qibin Shi*, Ethan F Williams, Bradley P Lipovsky, Marine A Denolle, William SD Wilcock, Deborah S Kelley, and Katelyn Schoedl

Seismological Research Letters 96, 784–800

Denoising offshore distributed acoustic sensing using masked auto-encoders to enhance earthquake detection

Qibin Shi*, Marine A Denolle, Yiyu Ni, Ethan F Williams, and Nan You

Journal of Geophysical Research: Solid Earth 130, e2024JB029728

Ambient field seismology in critical zone hydrological sciences

Marine A. Denolle*, Qibin Shi, Tim Clements, Loïc Viens, Veronica Rodriguez-Tribaldos, and Fabrice Cotton

Comptes Rendus Géoscience 1, 000–000 (early view)

Supershear rupture sustained through a thick fault zone in the 2025 M 7.8 Mandalay earthquake

Shengji Wei, Xin Wang, Chenglong Li, Hongyu Zeng, Zhangfeng Ma, Qibin Shi, Han Chen, Yihe Huang, Mingzhe Lyu, Jiangtao Liao, et al.

Science 390, 468–475

2024

Wavefield reconstruction of distributed acoustic sensing: Lossy compression, wavefield separation, and edge computing

Yiyu Ni, Marine A Denolle, Qibin Shi, Bradley P Lipovsky, Shaowu Pan, and J Nathan Kutz

JGR: Machine Learning and Computation 1, e2024JH000247

2023

Improved observations of deep earthquake ruptures using machine learning

Qibin Shi* and Marine A Denolle

Journal of Geophysical Research: Solid Earth 128, e2023JB027334

Could thermal pressurization have induced the frequency-dependent rupture during the 2019 M 8.0 Peru intermediate-depth earthquake?

Heng Luo, Hongyu Zeng, Qibin Shi, Teng Wang, Mingsheng Liao, Jiashun Hu, and Shengji Wei

Geophysical Journal International 232, 115–127

2022

Simultaneous rupture propagation through fault bifurcation of the 2021 M 7.4 Maduo earthquake

Shengji Wei, Hongyu Zeng, Qibin Shi, Jihong Liu, Heng Luo, Wanlin Hu, Yu Li, Weitao Wang, Zhangfeng Ma, Jing Liu-Zeng, et al.

Geophysical Research Letters 49, e2022GL100283

2021

Multiple point source inversion with regional broadband and local waveform data-a case study of the 2016 M 7.1 Kumamoto, Japan earthquake

Qibin Shi and Shengji Wei*

Chinese Journal of Geophysics 64, 4378–4393

Source characteristics of the 2019 M 6.5 Ambon, eastern Indonesia, earthquake inferred from seismic and geodetic data

Irwan Meilano, Rino Salman, Suchi Rahmadani, Qibin Shi, Susilo Susilo, Eric Lindsey, Pepen Supendi, and Daryono Daryono

Seismological Society of America 92, 3339–3348

2020

Highly heterogeneous pore fluid pressure enabled rupture of orthogonal faults during the 2019 Ridgecrest M 7.0 earthquake

Qibin Shi* and Shengji Wei

Geophysical Research Letters 47, e2020GL089827

Structural control and system-level behavior of the seismic cycle at the Nankai Trough

Qibin Shi, Sylvain Barbot*, Shengji Wei, Paul Tapponnier, Takanori Matsuzawa, and Bunichiro Shibazaki

Earth, Planets and Space 72, 27

2018

An MCMC multiple point sources inversion scheme and its application to the 2016 Kumamoto M 6.2 earthquake

Qibin Shi, Shengji Wei*, and Meng Chen

Geophysical Journal International 215, 737–752

The rise, collapse, and compaction of Mt. Mantap from the 3 September 2017 North Korean nuclear test

Teng Wang, Qibin Shi, Mehdi Nikkhoo, Shengji Wei, Sylvain Barbot, Douglas Dreger, Roland Bürgmann, Mahdi Motagh, and Qi-Fu Chen

Science 361, 166–170