On the calculation of smoothing kernels for seismic parameter spatial mapping: methodology and examples
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Título: | On the calculation of smoothing kernels for seismic parameter spatial mapping: methodology and examples |
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Autor/es: | Montiel-López, David | Molina-Palacios, Sergio | Galiana-Merino, Juan José | Gómez, Igor |
Grupo/s de investigación o GITE: | Grupo de Ingeniería y Riesgo Sísmico (GIRS) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Física Aplicada | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef" | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías |
Palabras clave: | Spatial mapping | Seismic parameters | Smoothing kernels | Calculation |
Fecha de publicación: | 13-ene-2023 |
Editor: | Copernicus Publications |
Cita bibliográfica: | Natural Hazards and Earth System Sciences. 2023, 23: 91-106. https://doi.org/10.5194/nhess-23-91-2023 |
Resumen: | Spatial mapping is one of the most useful methods to display information about the seismic parameters of a certain area. As in b-value time series, there is a certain arbitrariness regarding the function selected as smoothing kernel (which plays the same role as the window size in time series). We propose a new method for the calculation of the smoothing kernel as well as its parameters. Instead of using the spatial cell-event distance we study the distance between events (event-event distance) in order to calculate the smoothing function, as this distance distribution gives information about the event distribution and the seismic sources. We examine three different scenarios: two shallow seismicity settings and one deep seismicity catalog. The first one, Italy, allows calibration and showcasing of the method. The other two catalogs: the Lorca region (Spain) and Vrancea County (Romania) are examples of different function fits and data treatment. For these two scenarios, the prior to earthquake and after earthquake b-value maps depict tectonic stress changes related to the seismic settings (stress relief in Lorca and stress build-up zone shifting in Vrancea). This technique could enable operational earthquake forecasting (OEF) and tectonic source profiling given enough data in the time span considered. |
Patrocinador/es: | This research has been supported by the Horizon 2020 (TURNkey (grant no. 821046)) and the Ministerio de Ciencia e Innovación (grant no. PID2021-123135OB-C21). |
URI: | http://hdl.handle.net/10045/131159 |
ISSN: | 1684-9981 |
DOI: | 10.5194/nhess-23-91-2023 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.5194/nhess-23-91-2023 |
Aparece en las colecciones: | INV - GIRS - Artículos de Revistas Investigaciones financiadas por la UE |
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Montiel-Lopez_etal_2023_NatHazardsEarthSystSci.pdf | 5,03 MB | Adobe PDF | Abrir Vista previa | |
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