Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 26, issue 5
Articles | Volume 26, issue 5
https://doi.org/10.5194/nhess-26-2151-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-2151-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 5
Research article
 | 
08 May 2026
Research article |  | 08 May 2026

Pre-seismic geomagnetic fusion anomaly extraction based on Spatially Weighted Non-negative Tensor Factorization

Baiyi Yang, Kaiguang Zhu, Ting Wang, Donghua Zhang, WenQi Chen, Yiqun Zhang, Pu Wang, Xingsu Li, and Yuqi Cheng

Viewed

Total article views: 3,268 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,922 1,044 302 3,268 301 343
  • HTML: 1,922
  • PDF: 1,044
  • XML: 302
  • Total: 3,268
  • BibTeX: 301
  • EndNote: 343
Views and downloads (calculated since 11 Feb 2026)
Cumulative views and downloads (calculated since 11 Feb 2026)

Viewed (geographical distribution)

Total article views: 3,268 (including HTML, PDF, and XML) Thereof 3,068 with geography defined and 200 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 04 Nov 2026
Download
Short summary
We propose a spatially weighted non-negative tensor factorization method for extracting pre-seismic geomagnetic anomalies from multi-station data. By integrating spatial constraints between observation stations and the seismic source into the decomposition framework, the method improves the physical interpretability of the extracted anomalies and offers a new methodological approach for seismic anomaly analysis.
Read more
Share
Altmetrics
Final-revised paper
Preprint