Publication

Peer-reviewed Publications

(*corresponding author, #supervised/co-supervised  students/postdocs, ^supervised one-year visiting scholars)

To be submitted/In Prep.

1. Zhang M.* FocMecDR: a cross-correlation-based double-ratio earthquake focal mechanism inversion algorithm  (results were presented at the 2023 SSA)

Submitted/Under review

1. Lau H., Nedimovic M., and Zhang M. Seismic evidence for a hybrid continent-ocean transition in rifting offshore Nova Scotia with coexisting magma-rich and magma-poor characteristics deduced from Vp/Vs ratios using 4-component seismic data (submitted)

2. Moussa A., Naggar H.E. and Zhang M. Using Tire Derived Aggregates (TDA) as infill material for wave barriers (submitted)

3. Li D.#, Zhang M.*, Zheng J. and Peng S. How Induced Earthquakes Response to Pre-Existing Fractures and Hydraulic Fracturing Operations? A Case Study in South China  (submitted)

4. Zhang M.* and Wen L. Reexamination Confirming Additional Seismic Evidence for the 12 May 2010 Low-Yield Nuclear Test (submitted)

5. Zhang X.* and Zhang M. Generalized Neural Networks for Real-Time Earthquake Early Warning (submitted, pre-print version: https://arxiv.org/abs/2312.15218)

Published/accepted

2024

1. Niksejel A.# and Zhang M.*  OBSTransformer: A Deep-Learning Seismic Phase Picker for OBS Data Using Automated Labelling and Transfer Learning, Geophysical Journal International, 2024, in press, https://doi.org/10.1093/gji/ggae049 (pre-print version, available codes)

2023

2. Zhao YN.^, Zhang M.*, Duan YH., Lei XL., Liu QX. Seismogenic Structures and Earthquake Mechanisms in the Changning Area, China: Insights from Seismicity and Tomography, Tectonophysics, 2023, in press, https://doi.org/10.1016/j.tecto.2023.230086 (free download with limited time) 

3. Liu M. #, Li L., Zhang M.*, Lei XL,  Nedimovic M., Plourde A., Guo RM, Wang WT, and Li HY. Complexity of Initiation and Evolution of the 2013 Yunlong Earthquake Swarm, Earth and Planetary Science Letters, 612, 118168, 2023, https://doi.org/10.1016/j.epsl.2023.118168

4. Zhang M*. P/SV amplitude ratios of shallow isotropic explosions and earthquakes could be indistinguishable at local distances: insights from single-station waveform simulations, The Seismic Record, 3(1), 48-56, 2023, https://doi.org/10.1785/0320220044, AGU talk

5. Zhao M.^, Xiao ZW., Zhang M., Yang Y., Tang L. and Chen S. DiTingMotion: a deep-learning first-motion-polarity classifier and its application to focal mechanism inversion, Frontiers in Earth Science, 11, 335, 2023, https://doi.org/10.3389/feart.2023.1103914, available codes

2022

6. Zhang XT.#, Reichard-Flynn W.#, Zhang M. , Hirn M. and Lin YZ. Spatio-Temporal Graph Convolutional Networks for Earthquake Source Characterization, Journal of Geophysical Research-Solid Earth, 127(11), e2022JB024401, 2022,  https://doi.org/10.1029/2022JB024401 

7. Liu M.#*, Zhang M. and Li H. Using the match-and-locate method to characterize the foreshocks of the July 2019 Mw 6.4 Ridgecrest, CA earthquake, Earthquake Science, 35(4), 213-242, 2022, https://doi.org/10.1016/j.eqs.2022.08.005, as cover figure of the issue

8. Liu M.#, Li H., Zhang M., Wang W., Yang Y.,  Chang Z. and Zhang H.  Investigation of the 2013 Eryuan, Yunnan, China MS 5.5 Earthquake Sequence: Aftershock Migration, Seismogenic Structure and Hazard Implication, Tectonophysics, 837, 229445, 2022, https://doi.org/10.1016/j.tecto.2022.229445

9. Feng T.#, Zhang M.*, Xu L., Wu J. and Fang L. Machine-Learning-Based Earthquake Catalog and Tomography Characterize the Middle-Northern Section of the Xiaojiang Fault Zone, Seismological Research Letters, 93(5), 2484-2497, 2022, https://doi.org/10.1785/0220220116

10. Liu M.#, Li H., Li L., Zhang M. and Wang W. Multistage Nucleation of the 2021 Yangbi MS 6.4 Earthquake and Its Foreshocks,  Journal of Geophysical Research: Solid Earth, 127(5), e2022JB024091, 2022, https://doi.org/10.1029/2022JB024091.

11. Zhang M.*, Liu M., Feng T., Wang R. and Zhu W. LOC-FLOW: An End-to-End Machine-Learning-Based High-Precision Earthquake Location Workflow, Seismological Research Letters, 93(5), 2426-2438, 2022, https://doi.org/10.1785/0220220019

2021

12. Glasgow M.E., Schmandt B., Wang R., Zhang M., Bilek S.L. and Kiser E. Raton Basin induced seismicity is hosted by networks of short basement faults and mimics tectonic earthquake statistics, Journal of Geophysical Research: Solid Earth, 126(11), e2021JB022839, 2021, https://doi.org/10.1029/2021JB022839

13. Huang Y., Zhang M., Gao K., Sabin A. and Huang L.  Imaging Complex Subsurface Structures for Geothermal Exploration at Eleven-Mile Canyon in Nevada, Frontiers in Earth Science, 9, 782901, 2021, https://doi.org/10.3389/feart.2021.782901

14. Zhou L., Zhao C., Zhang M.,  Xu L., Cui R., Zhao C., Duan M. and Luo J. Machine-learning-based earthquake locations reveal the seismogenesis of the 2020 MW 5.0 Qiaojia, Yunnan earthquake, Geophysical Journal International, 228(3), 1637-1647, 2021, https://doi.org/10.1093/gji/ggab420

15. Su JB, Liu M.* #, Zhang YP., Wang WT., Li HY., Yang J., Li XB. and Zhang M. High resolution earthquake catalog building for the 21 May 2021 Yangbi, Yunnan, Ms 6.4 earthquake sequence using deep-learning phase picker, Chinese Journal of Geophysics,  64(8), 2647-2656, 2021, https://doi.org/10.6038/cjg2021O0530

16. Tan Y.J.., Waldhauser F., Ellsworth W.L., Zhang M., Zhu W., Michele M., Chiaraluce L., Beroza G.C. and Segou M.  Machine-learning-based high-resolution earthquake catalog reveals how complex fault structures were activated during the 2016-2017 central Italy sequence, The Seismic Record, 1 (1), 11–19, 2021, https://doi.org/10.1785/0320210001

17. Zhang M.* , Liu M.#, Plourde A., Bao F., Wang R. and Gosse J.  Source characterization for two small earthquakes in Dartmouth, Nova Scotia, Canada: pushing the limit of single station. Seismological Research Letters, 92 (4), 2540–2550, 2021, https://doi.org/10.1785/0220200297

18. Zhang X., Zhang M.* and Tian X. Real-time Earthquake Early Warning with Deep Learning: Application to the 2016 M 6.0 Central Apennines, Italy Earthquake. Geophysical Research Letters, 48(5), 2020GL089394, 2021,  https://doi.org/10.1029/2020GL089394

19. Zhao M., Tang L., Chen S., Su J. and Zhang M.  Machine learning based automatic foreshock catalog building for the 2019 Ms 6.0 Changning, Sichuan earthquake. Chinese Journal of Geophysics, 64(1), 54-66, 2021, https://doi.org/10.6038/cjg2021O0271

20. Grigoli F., Ellsworth W., Zhang M., Mousavi M., Cesca S., Satriano C., Beroza G. and Wiemer S. Relative earthquake location procedure for clustered seismicity with a single station. Geophysical Journal International, 225 (1), 608-626,  2021, https://doi.org/10.1093/gji/ggaa607

2020

21. Wang JC., Li TY., Gu YJ., Schultz R., Yusifbayov J. and Zhang M. Sequential Fault Reactivation and Secondary Triggering in the March 2019 Red Deer Induced Earthquake Swarm. Geophysical Research Letters, 47(22), e2020GL090219, 2020, https://doi.org/10.1029/2020GL090219.

22. Wang R., Schmandt B., Zhang M., Glasgow M., Kiser E., Rysanek S. and Stairs R. Injection-induced earthquakes on complex fault zones of the Raton Basin illuminated by machine-learning phase picker and dense nodal array. Geophysical Research Letters, 47(14), e2020GL088168, 2020, https://doi.org/10.1029/2020GL088168

23. Mon C.T., Gong X., Wen Y., Jiang M., Chen Q., Zhang M., Hou G., Thant M., Sein K. and He Y. Insight into major active faults in Central Myanmar and the related geodynamic sources. Geophysical Research Letters, 47(8): e2019GL086236, 2020, https://doi.org/10.1029/2019GL086236

24. Liu M.#, Zhang M.*, Zhu W., Ellsworth W. and Li H. Rapid Characterization of the July 2019 Ridgecrest, California Earthquake Sequence from Raw Seismic Data using Machine Learning Phase Picker. Geophysical Research Letters, 47(4), e2019GL086189, 2020, https://doi.org/10.1029/2019GL086189, Movie1, Movie2

25. Liu M.#, Li H., Zhang M. and Wang T. Graphics Processing Unit-based Match and Locate (GPU-M&L): an improved Match and Locate method and its application. Seismological Research Letters, 91(2A), 1019-1029, 2020, https://doi.org/10.1785/0220190241 

2019 and Before 2019 (initiated and mostly finished before joining Dalhousie)

26. Tang L., Zhang M. and Wen L. Support Vector Machine Classification of Seismic Events in Tianshan Orogenic Belt. Journal of Geophysical Research: Solid Earth, 125(1), e2019JB018132, 2019, https://doi.org/10.1029/2019JB018132

27. Zhang M.*, Ellsworth W. and Beroza G. Rapid Earthquake Association and Location. Seismological Research Letters, 90(6): 2276-2284, 2019, https://doi.org/10.1785/0220190052

28. Wang K., Ellsworth W., Beroza G., Williams G., Zhang M., Schroeder D. and Rubinstein J. Seismology with Dark Data: Image-Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment. Seismological Research Letters, 90 (2A): 553-562, 2019, https://doi.org/10.1785/0220180298

29. Tang L., Lu Z., Zhang M., Sun L. and Wen L. Seismicity induced by simultaneous abrupt changes of injection rate and well pressure in Hutubi Gas Field. Journal of Geophysical Research: Solid Earth, 123 (7): 5929-5944, 2018, https://doi.org/10.1029/2018JB015863

30. Wang R., Gu YJ., Schultz R., Zhang M. and Kim A. Source Characteristics and Geological Implications of the January 2016 Induced Earthquake Swarm near Crooked Lake, Alberta. Geophysical Journal International, 210 (2), 979-988, 2017, https://doi.org/10.1093/gji/ggx204

31. Sun L., Zhang M. and Wen L. A new method for high-resolution event relocation and application to the aftershocks of Lushan Earthquake, China. Journal of Geophysical Research: Solid Earth, 121 (4), 2539-2559, 2016, https://doi.org/10.1002/2016JB012840

32. Zhang M.* and Wen L. Earthquake characteristics before eruptions of Japan's Ontake volcano in 2007 and 2014. Geophysical Research Letters, 42 (17), 6982–6988, 2015, https://doi.org/10.1002/2015GL065165

33. Zhang M.* and Wen L. Seismological Evidence for a Low‐Yield Nuclear Test on 12 May 2010 in North Korea. Seismological Research Letters, 86 (1), 138-145, 2015, https://doi.org/10.1785/02201401170

34. Zhang M.* and Wen L. An effective method for small event detection: match and locate (M&L). Geophysical Journal International, 200 (3), 1523-1537, 2015, https://doi.org/10.1093/gji/ggu466

35. Zhang M.*, Tian D. and Wen L. A new method for earthquake depth determination: stacking multiple-station autocorrelograms. Geophysical Journal International, 197 (2), 1107-1116, 2014, https://doi.org/10.1093/gji/ggu044

36. Zhang M.* and Wen L. High-precision location and yield of North Korea's 2013 nuclear test. Geophysical Research Letters, 40 (12), 2941-2946, 2013, https://doi.org/10.1002/grl.50607

Conference Papers

1. Zhang M.* , Huang L., Gao K., Huang, Y. and Sabin A. High-Resolution Seismic Imaging for Geothermal Exploration at Eleven-Mile Canyon in Nevada. Paper presented at 43rd Workshop on Geothermal Reservoir Engineering, 2018 (Full Paper).

2. Huang Y., Gao K., Zhang M., Sabin A. and Huang L. Imaging Fracture Zones at Eleven-Mile Canyon Using Anisotropic Least-Squares Reverse-Time Migration. Geothermal Resources Council Transactions, 42, 1402-1413, 2018 (Full Paper).

3. Zhang M.* , Gao K. and Huang L. Anisotropic Reverse-Time Migration for Imaging Fracture Zones at Eleven-Mile Canyon. Paper presented at 42nd Workshop on Geothermal Reservoir Engineering, 2017 (Full Paper).

4. Huang Y., Zhang M. and Huang L. Ground-Roll Noise Suppression in Land Surface Seismic Data Using a Wavenumber-Adaptive Bandpass Filter. Geothermal Resources Council Transactions, 41, 1659-1668, 2017 (Full Paper).

5. Li D., Gao K., Huang Y., Zhang M., Chi B., Moore J. and Huang L. Subsurface Imaging of Raft River Geothermal Field Using 2010 Walkaway VSP Data. Paper presented at 42nd Workshop on Geothermal Reservoir Engineering, 2017 (Full Paper).

6. Wang R., Gu YJ. and Zhang M. Hydraulic Fracturing Induced Seismicity in Western Canada: Insights from Focal Mechanism and Swarm Analysis. 2017 SEG Microseismic Workshop: Technologies & Applications, 2017 (Full Paper).

Abstracts/Presentations

1. Niksejel A. and Zhang M. OBSPicker: A generalized transfer-learned OBS phase picker, EGU Annual Meeting, 2023

2. Zhang M. FocMecDR: a cross-correlation-based double-ratio earthquake focal mechanism inversion algorithm, SSA Annual Meeting, 2023

3. Zhang M. and Wen L. Examination of the Debate on the 12 May 2010 Low-Yield Nuclear Test, SSA Annual Meeting, 2023

4. Zhao M., Xiao Z., Zhang B., Chen S., Zhang M.  Ditingtools and Ditingbox: Seismic Big Data Processing via Edge and Cloud Computing, SSA Annual Meeting, 2023

5. Reichard-Flynn W., Zhang X., Zhang M. and Lin Y. Seismic Source Characterization using Physics-Guided Graph Convolutional Neural Network, AGU Fall Meeting, 2022

6. Zhao Y., Zhang M., Duan Y. and Lei X. High-resolution Earthquake Catalogue and Velocity Model Reveal Detailed Seismogenic Faults in Changning Area, China, AGU Fall Meeting, 2022

7. Zhang M. P/SV amplitude ratios of shallow isotropic explosions and earthquakes tend to be indistinguishable at local distances: insights from single-station waveform simulations, AGU Fall Meeting, 2022

8. Liu M., Li L., Zhang M., et al. Advancing the Understanding of How 3D Fault Geometry Controls the Kinematics of Earthquake Swarms, AGU Fall Meeting, 2022

9. Niksejel A. and Zhang M. A generalized transfer-learned OBS phase picker, AGU Fall Meeting, 2022

10. Zhang M. Machine-learning-based earthquake analysis: location, tomography, and focal mechanism inversion, GAC-MAC Annual Meeting , 2022

11. Zhang M., Liu M., Plourde A., Bao F., Wang R and Gosse J.  Seismological investigation of two small earthquakes in Dartmouth in March 2020, GAC-MAC Annual Meeting , 2022

12. Liu M., Zhang M., Nedimović M. and Plourde A. Seismicity offshore Nova Scotia: a preliminary investigation, GAC-MAC Annual Meeting , 2022

13. Zhang M., Liu M., Wang R., Feng T. and Zhu W. LOC-FLOW: An End-to-end High Precision Earthquake Location Workflow. AGU Fall Meeting, 2021

14. Feng T., Zhang M., Xu L., Wu J. and Fang L. High-resolution earthquake catalog illuminates the seismogenesis and detailed fault distribution of the northern Xiaojiang Fault Zone in Southwestern China. AGU Fall Meeting, 2021

15. Zhu W., Hou A., Yang R., Datta A., Mousavi M., Zhang M., Park Y., McBrearty I., Ellsworth W. and Beroza G. QuakeFlow: A Scalable Deep-learning-based Earthquake Monitoring Workflow with Cloud Computing. AGU Fall Meeting, 2021

16.  Glasgow M., Schmandt B., Wang R., Zhang M., Bilek S. and Kiser E., Wastewater Disposal in the Raton Basin Reactivates Networks of Short Basement Faults. AGU Fall Meeting, 2021 .

17. Zhang M., Liu M., Plourde A., Bao F., Wang R and Gosse J. Pushing the limit of single station: source characterization for two small earthquakes in Dartmouth, Nova Scotia, Canada. ES-SSA, 2020. (online talk)

18. Zhang M., Liu M., Plourde A., Bao F. and Wang R. Pushing the limit of single station: source characterization for two small earthquakes in Dartmouth, Nova Scotia, Canada. AGU Fall Meeting, 2020 (poster).

19. Zhang XT., Zhang M. and Lin YZ. Earthquake Source Characterization with Graphical Deep Learning. AGU Fall Meeting, 2020 (oral).

20. Zhang X., Zhang M. and Tian X. Earthquake Early Warning with Deep Learning: Application to the 2016 Central Apennines, Italy Earthquake Sequence. AGU Fall Meeting, 2020 (oral).

21. Wang JC., Gu YJ., Undershute C., Li T., Schultz R. and Zhang M. Micro-Tremors and Aftershocks Following the March 2019 ML 4.2 Earthquake near Red Deer, Alberta. AGU Fall Meeting, 2020 (poster).

22. Liu M., Zhang M. and Li H. Detailed nucleation process and mechanism of the July 2019 Mw 6.4 Ridgecrest, California earthquake. AGU Fall Meeting, 2020 (poster).

23. Zhang M., Ellsworth W. and Zhu W. Using machine-learning phase picker to build high-precision earthquake catalog and characterize seismic structures: a case study on five days of the 2016 Central Apennines, Italy earthquake sequence. AGU Fall Meeting, 2019 (poster).

24. Liu M., Zhang M., Ellsworth W., Zhu W. and Li H. A first look at the seismic characteristics of the 2019 July Ridgecrest, California earthquake sequence through the lens of machine learning. AGU Fall Meeting, 2019 (poster).

25. Zhang M., Zhu W., Ellsworth W. and Beroza G. Rapid earthquake association and location. 27th IUGG General Assembly, 2019 (Oral).

26. Ellsworth W., Snee J., Peppin K. Zhang M. Induced Seismicity in the Permian Basin, USA. Third Schatzalp Workshop on Induced Seismicity, 2019.

27. Zhang M., Ellsworth W., Beroza G., Waldhauser F., Chiaraluce L., Michele M. and Segou M. Toward rapid characterization of the 2016 Central Apennines, Italy earthquake sequence: a case study. AGU Fall Meeting, 2018.

28. Wang K., Ellsworth W., Beroza G., Williams G. and Zhang M., Schroeder D. and Rubinstein J. Earthquake catalog reconstruction from analog seismograms: Application to the Rangely Experiment microfilms. AGU Fall Meeting, 2018.

29. Zhang M., Gao K., and Huang L. Imaging Fracture/Fault Zones at Eleven-Mile Canyon in Nevada for Geothermal Exploration Using Anisotropic Reverse-Time Migration. AGU Fall Meeting, 2017 (Oral).

30. Wang R., Gu, YJ., Chen Y. and Zhang M. The January 2016 Earthquake Sequence near Fox Creek and its Relation to Hydraulic Fracturing. 2017 Canadian Geophysical Union Annual Meeting, 2017 (Oral).

31. Chen T., Zhang M. and Huang L. Fast detection of induced microseismicity for CO2 injection monitoring. 2017 Carbon Capture, Utilization & Storage Conference, 2017 (Oral).

32. Zhang M., Gao K., Balch R., Huang L. Monitoring CO2 injection at the Farnsworth EOR field in Texas using joint inversion of time-lapse VSP data. 2017 Carbon Capture, Utilization & Storage Conference, 2017 (Oral, Slides).

33. Zhang M., Gao K., Balch R. and Huang L. Joint inversion of time-lapse VSP data for monitoring CO2 injection at the Farnsworth EOR field in Texas. AGU Fall Meeting, 2016 (Poster).

34. Tang L., Zhang M., Sun L. and Wen L. Injection-induced Seismicity in a Natural Gas Reservoir in Hutubi, Southern Junggar Basin, Northwest China. AGU Fall Meeting, 2015 (Poster).

35. Zhang M. and Wen L. Earthquake characteristics before eruptions of Japan's Ontake volcano in 2007 and 2014. AGU Fall Meeting, 2015 (Poster).

36. Zhang M. and Wen L. Seismicity characteristics before eruptions of Japan's Ontake volcano in 2007 and 2014. Chinese Geoscience Union Annual Meeting, 2015 (Oral in Chinese). (Invited)

37. Zhang M. and Wen L. An effective method for small event detection: Match and Locate (ML). Chinese Geoscience Union Annual Meeting, 2014 (Oral).

38. Zhang M. and Wen L. An effective method for small event detection: Match and Locate (ML) and its applications. AGU Fall Meeting, 2014 (Poster)

39. Sun L., Zhang M. and Wen L. A New Method for High-precision Earthquake Relocation And Application to the Aftershocks of Lushan Earthquake, China. AGU Fall Meeting, 2013 (Poster).

40. Zhang M., Tian D. and Wen L. A new method to determine earthquake depth: stacking multiple-station autocorrelogram. AGU Fall Meeting, 2013 (Poster).

41. Zhang M. and Wen L. The relationship of velocity structure, slip distribution and aftershock in the hypocenter area of the 11 March 2011 Tohoku earthquake. AGU Fall Meeting, 2012 (Poster).

Invited Lectures/Talks (since 2019)

1. 2023 NFSI Marine Seismology Workshop (May, 2023, slides)

2. 2021 International Forum on Pohang Earthquake (Nov. 16, 2021, online)

3. Training for Methods and Codes in Seismology (Aug. 10, 2021, online)

4. Sheshan Xuetang Summer School (July 18 and 20, 2021, online)

5. University of Science and Technology of China, Hefei, China (Mar. 18, 2021, online)

6. Geological Survey of Canada (Atlantic), Dartmouth, Canada (Oct. 21, 2020; online)

7. Geophysics, East China University of Technology, Nanchang, China (May 12, 2020; online; slides)

8. EES, Dalhousie University, Halifax, Canada (March 12, 2020)

9. China Earthquake Networks Center, China Earthquake Administration, Beijing, China (Aug. 7, 2019)

10. Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China (Aug. 6, 2019)

11. China University of Geosciences (Beijing), Beijing, China (Aug. 5, 2019)

12. IGPP, UC Santa Cruz, Santa Cruz, California, USA (Jan. 18, 2019)