On the calculation of smoothing kernels for seismic parameter spatial mapping: methodology and examples
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Campo DC | Valor | Idioma |
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dc.contributor | Grupo de Ingeniería y Riesgo Sísmico (GIRS) | es_ES |
dc.contributor.author | Montiel-López, David | - |
dc.contributor.author | Molina-Palacios, Sergio | - |
dc.contributor.author | Galiana-Merino, Juan José | - |
dc.contributor.author | Gómez, Igor | - |
dc.contributor.other | Universidad de Alicante. Departamento de Física Aplicada | es_ES |
dc.contributor.other | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | es_ES |
dc.contributor.other | Universidad de Alicante. Instituto Multidisciplinar para el Estudio del Medio "Ramón Margalef" | es_ES |
dc.contributor.other | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías | es_ES |
dc.date.accessioned | 2023-01-17T09:23:15Z | - |
dc.date.available | 2023-01-17T09:23:15Z | - |
dc.date.issued | 2023-01-13 | - |
dc.identifier.citation | Natural Hazards and Earth System Sciences. 2023, 23: 91-106. https://doi.org/10.5194/nhess-23-91-2023 | es_ES |
dc.identifier.issn | 1684-9981 | - |
dc.identifier.uri | http://hdl.handle.net/10045/131159 | - |
dc.description.abstract | 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. | es_ES |
dc.description.sponsorship | 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). | es_ES |
dc.language | eng | es_ES |
dc.publisher | Copernicus Publications | es_ES |
dc.rights | © Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License. | es_ES |
dc.subject | Spatial mapping | es_ES |
dc.subject | Seismic parameters | es_ES |
dc.subject | Smoothing kernels | es_ES |
dc.subject | Calculation | es_ES |
dc.title | On the calculation of smoothing kernels for seismic parameter spatial mapping: methodology and examples | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.peerreviewed | si | es_ES |
dc.identifier.doi | 10.5194/nhess-23-91-2023 | - |
dc.relation.publisherversion | https://doi.org/10.5194/nhess-23-91-2023 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/821046 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2021-123135OB-C21 | es_ES |
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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