Articles | Volume 25, issue 10
https://doi.org/10.5194/nhess-25-3853-2025
https://doi.org/10.5194/nhess-25-3853-2025
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

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Cited articles

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Benali, A., Peresan, A., Varini, E., and Talbi, A.: Modelling background seismicity components identified by nearest neighbour and stochastic declustering approaches: the case of Northeastern Italy, Stoch. Env. Res. Risk A., 34, 775–791, https://doi.org/10.1007/s00477-020-01798-w, 2020. a
Buforn, E., Sanz de Galdeano, C., and Udías, A.: Seismotectonics of the Ibero-Maghrebian region, Tectonophysics, 248, 247–261, https://doi.org/10.1016/0040-1951(94)00276-F, 1995. a
García-Mayordomo, J.: Modelo de Zonas Sismogénicas para el Cálculo de la Peligrosidad Sísmica en España, no. 5 in Riesgos geológicos/geotecnica, Instituto Geológico y Minero de España (IGME), C/ La Caleram 1 Tres Cantos – 28760 Madrid, 1 edn., ISBN 978-84-7840-964-8, http://hdl.handle.net/10261/273473, 2015a. a, b, c
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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.
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