Min Liu

Min Liu

Postdoc of Seismology

Dalhousie University

Biography

Min Liu is a recent Ocean Frontier Institute Postdoctoral Fellow in the Department of Earth and Environmental Sciences at Dalhousie University. Min was a visiting PhD student at Dalhousie from June 2019 to August 2020 before he received his PhD from the China University of Geosciences (Beijing) in September 2021. His PhD work focuses on the understanding of how earthquakes nucleate, migrate and their associated seismogenic structures using state-of-the-art methods including machine-learning-based high-precision earthquake location.

Interests
  • Earthquake Nucleation
  • Machine-learning Application in Seismology
  • Earthquake Swarm
  • Earthquake Detection and Location
Education
  • PhD in Geophysics, 2021

    China University of Geosciences (Beijing)

  • BSc in Geophysics, 2016

    Chengdu University of Technology

News

Recent Publications

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(2022). Investigation of the 2013 Eryuan, Yunnan, China MS 5.5 Earthquake Sequence: Aftershock Migration, Seismogenic Structure and Hazard Implication. Tectonophysics.

DOI

(2022). Multistage Nucleation of the 2021 Yangbi MS 6.4 Earthquake, Yunnan, China and Its Foreshocks . Journal of Geophysical Research: Solid Earth.

DOI

(2022). LOC-FLOW: An End-to-End Machine-Learning-Based High-Precision Earthquake Location Workflow. Seismological Research Letters.

DOI

(2021). 基于深度学习构建2021年5月21日云南漾濞MS6.4地震序列高分辨率地震目录. 地球物理学报.

DOI

(2021). Pushing the limit of single station: source characterization for two small earthquakes in Dartmouth, Nova Scotia, Canada. Seismological Research Letters.

DOI

(2020). The Multiscale Structure of the Longmen Shan Central Fault Zone from Local and Teleseismic Data Recorded by Short‐Period Dense Arrays. Bulletin of the Seismological Society of America.

DOI

(2020). Shallow Structure of the Longmen Shan Fault Zone from a High‐Density, Short‐Period Seismic Array. Bulletin of the Seismological Society of America.

DOI

(2020). Rapid Characterization of the July 2019 Ridgecrest, California Earthquake Sequence from Raw Seismic Data using Machine Learning Phase Picker. Geophysical Research Letters.

DOI

(2020). Graphics Processing Unit-based Match and Locate (GPU-M&L): an improved Match and Locate method and its application. Seismological Research Letters.

DOI

(2019). 阿拉善左旗MS5.8地震前后地震活动性分析和重定位. 地球物理学报.

DOI

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