Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 23, issue 1
Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-91-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-91-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 23, issue 1
Research article
 | 
13 Jan 2023
Research article |  | 13 Jan 2023

On the calculation of smoothing kernels for seismic parameter spatial mapping: methodology and examples

David Montiel-López, Sergio Molina, Juan José Galiana-Merino, and Igor Gómez

Related authors

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
Nat. Hazards Earth Syst. Sci., 25, 3853–3878, https://doi.org/10.5194/nhess-25-3853-2025,https://doi.org/10.5194/nhess-25-3853-2025, 2025
Short summary
Computing the time-dependent activity rate using non-declustered and declustered catalogues – a first step towards time-dependent seismic hazard calculations for operational earthquake forecasting
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, Igor Gómez, Alireza Kharazian, Juan Luis Soler-Llorens, José Antonio Huesca-Tortosa, Arianna Guardiola-Villora, and Gonzalo Ortuño-Sáez
Nat. Hazards Earth Syst. Sci., 25, 515–539, https://doi.org/10.5194/nhess-25-515-2025,https://doi.org/10.5194/nhess-25-515-2025, 2025
Short summary

Cited articles

Aki, K.: Maximum likelihood estimate of b in the formula log N = a-bM and its confidence limits, Bull. Earthq. Res. Inst., 43, 237–239, 1965. a, b
Alarcón, E. and Benito, B.: Foreword special issue Lorca's earthquake, B. Earthq. Eng., 12, 1827–1829, https://doi.org/10.1007/s10518-014-9602-4, 2014. a
Batte, A. G. and Rümpker, G.: Spatial mapping of b-value heterogeneity beneath the Rwenzori region, Albertine rift: Evidence of magmatic intrusions, J. Volcanol. Geoth. Res., 381, 238–245, https://doi.org/10.1016/j.jvolgeores.2019.05.015, 2019. a
Brunsdon, C., Fotheringham, A., and Charlton, M.: Geographically Weighted Summary Statistics—A Framework for Localised Exploratory Data Analysis, Comput. Environ. Urban, 26, 501–524, https://doi.org/10.1016/S0198-9715(01)00009-6, 2002. a
Carreño-Herrero, E. and Valero-Zornoza, J. F.: The Iberian Peninsula seismicity for the instrumental period: 1985–2011, Enseñ. Cienc. Tierra, 19, 289–295, 2011. a
More articles (45)
Download
Short summary
One of the most effective ways to describe the seismicity of a region is to map the b-value parameter of the Gutenberg-Richter law. This research proposes the study of the spatial cell-event distance distribution to define the smoothing kernel that controls the influence of the data. The results of this methodology depict tectonic stress changes before and after intense earthquakes happen, so it could enable operational earthquake forecasting (OEF) and tectonic source profiling.
Read more
Share
Altmetrics
Final-revised paper
Preprint