Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 1
Articles | Volume 25, issue 1
https://doi.org/10.5194/nhess-25-231-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-231-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 1
Research article
 | 
14 Jan 2025
Research article |  | 14 Jan 2025

Analysis of borehole strain anomalies before the 2017 Jiuzhaigou Ms 7.0 earthquake based on a graph neural network

Chenyang Li, Changfeng Qin, Jie Zhang, Yu Duan, and Chengquan Chi

Viewed

Total article views: 1,386 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
813 253 320 1,386 57 73
  • HTML: 813
  • PDF: 253
  • XML: 320
  • Total: 1,386
  • BibTeX: 57
  • EndNote: 73
Views and downloads (calculated since 10 Jul 2024)
Cumulative views and downloads (calculated since 10 Jul 2024)

Viewed (geographical distribution)

Total article views: 1,386 (including HTML, PDF, and XML) Thereof 1,386 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Dec 2025
Download
Short summary
In this study, we advance the field of earthquake prediction by introducing a pre-seismic anomaly extraction method based on the structure of a graph WaveNet model, which reveals the temporal correlation and spatial correlation of the strain observation data from different boreholes prior to the occurrence of an earthquake event.
Read more
Share
Altmetrics
Final-revised paper
Preprint