Estimation of the seismic magnitude from records and hypocentral parameters for the Ñaña station

Estimating the magnitude of any seismic event is fundamental in Seismology because it allows to have an idea of earthquake size and the seismic energy released. The purpose of this research is define an empirical equation of seismic magnitude obtained through the linear regression model multiple, pr...

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Detalles Bibliográficos
Autores: Anchivilca Valentín, Renzo Isaac, Jiménez Tintaya, César Omar, Jimenez Tintaya, César Omar
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:Perú
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Idioma:español
OAI Identifier:oai:revistasinvestigacion.unmsm.edu.pe:article/21050
Acceso en línea:https://revistasinvestigacion.unmsm.edu.pe/index.php/fisica/article/view/21050
Access Level:acceso abierto
Palabra clave:Seismology
Seismic magnitude
Multiple linear regression
Sismología
Magnitud sísmica
Regresión Lineal Múltiple
Descripción
Sumario:Estimating the magnitude of any seismic event is fundamental in Seismology because it allows to have an idea of earthquake size and the seismic energy released. The purpose of this research is define an empirical equation of seismic magnitude obtained through the linear regression model multiple, proposing a dependency with what is recorded in a seismic station by means of a sensor triaxial very broadband (VBB), epicentral distance and focal depth data. They were used seismic signals that are freely provided by Incorporated Research Institutions for Seismology (IRIS) based on what was recorded at the Ñaña station (NNA). The epicentral distance values were obtained from the geographical location of the recording station and the epicenters of each seismic event; while the focal depth and magnitude data were obtained from a catalog of National Earthquake Information Center (NEIC). They were obtained results of magnitude very close to those recorded by the NEIC, finding a maximum difference of 0.3 between them.