Articles | Volume 15, issue 7
https://doi.org/10.5194/se-15-877-2024
https://doi.org/10.5194/se-15-877-2024
Research article
 | 
22 Jul 2024
Research article |  | 22 Jul 2024

Extraction of pre-earthquake anomalies from borehole strain data using Graph WaveNet: a case study of the 2013 Lushan earthquake in China

Chenyang Li, Yu Duan, Ying Han, Zining Yu, Chengquan Chi, and Dewang Zhang

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2023-2855', Anonymous Referee #1, 10 Jan 2024
    • AC1: 'Reply on RC1', Chenyang Li, 17 Jan 2024
    • AC2: 'Reply on RC1', Chenyang Li, 17 Jan 2024
  • EC1: 'Comment on egusphere-2023-2855', Michal Malinowski, 13 Feb 2024
    • AC3: 'Reply on EC1', Chenyang Li, 28 Feb 2024
  • RC2: 'Comment on egusphere-2023-2855', Anonymous Referee #2, 22 Mar 2024
    • AC4: 'Reply on RC2', Chenyang Li, 03 Apr 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Chenyang Li on behalf of the Authors (25 Apr 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 May 2024) by Michal Malinowski
RR by Anonymous Referee #2 (07 May 2024)
RR by Anonymous Referee #1 (24 May 2024)
ED: Publish subject to technical corrections (03 Jun 2024) by Michal Malinowski
ED: Publish subject to technical corrections (05 Jun 2024) by Susanne Buiter (Executive editor)
AR by Chenyang Li on behalf of the Authors (06 Jun 2024)  Author's response   Manuscript 
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Short summary
This study advances the field of earthquake prediction by introducing an extraction method for pre-seismic anomalies based on the structure of Graph WaveNet networks. We believe that our study makes a significant contribution to the literature as it not only demonstrates the effectiveness of this innovative approach in integrating borehole strain data from multiple stations but also reveals distinct temporal and spatial correlations preceding earthquake events.