Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 25, issue 10
Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3853-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-25-3853-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 25, issue 10
Research article
 | 
08 Oct 2025
Research article |  | 08 Oct 2025

Insights into tectonic zonation models from the clustering analysis of seismicity in southern and south-eastern Spain

David Montiel-López, Antonella Peresan, Elisa Varini, and Sergio Molina

Viewed

Total article views: 4,908 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,496 1,152 260 4,908 214 282
  • HTML: 3,496
  • PDF: 1,152
  • XML: 260
  • Total: 4,908
  • BibTeX: 214
  • EndNote: 282
Views and downloads (calculated since 26 Feb 2025)
Cumulative views and downloads (calculated since 26 Feb 2025)

Viewed (geographical distribution)

Total article views: 4,908 (including HTML, PDF, and XML) Thereof 4,809 with geography defined and 99 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Saved (final revised paper)

Latest update: 06 Oct 2026
Download
Short summary
South and south-eastern Spain has the highest seismicity in the country, but inconsistent fault data limit its use in seismic hazard assessment. This study applies the nearest-neighbour (NN) algorithm and graph theory to analyse clustering patterns. Two regions (western and eastern) with higher and lower (respectively) clustering complexities are identified. The results suggest alternative seismic zonation models, which could improve seismic hazard assessment.
Read more
Share
Altmetrics
Final-revised paper
Preprint