Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023
Descripción del Articulo
Peru is located in the South Pacific seismic region and frequently experiences significant earthquakes. Among the most relevant events are the 8.4 magnitude earthquake in Arequipa in 2001, the 7.9 magnitude earthquake in Ica in August 2007 and again a 6.3 magnitude earthquake in Arequipa in July 201...
Autores: | , , |
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Formato: | artículo |
Fecha de Publicación: | 2024 |
Institución: | Universidad Nacional de Ingeniería |
Repositorio: | Revistas - Universidad Nacional de Ingeniería |
Lenguaje: | español inglés |
OAI Identifier: | oai:oai:revistas.uni.edu.pe:article/2196 |
Enlace del recurso: | https://revistas.uni.edu.pe/index.php/iecos/article/view/2196 |
Nivel de acceso: | acceso abierto |
Materia: | sismo semi-Markov Clúster Análisis Seismic Cluster Analysis |
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Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023Modelos semi-Márkov para la evaluación del tiempo, lugar, magnitud y profundidad de los sismos ocurridos en el sur del Perú 2023 Risco Franco, CarlosPayano Mendez, Marlene AngelaRios Nima, Joel Salomonsismosemi-MarkovClúster AnálisisSeismicsemi-MarkovCluster AnalysisPeru is located in the South Pacific seismic region and frequently experiences significant earthquakes. Among the most relevant events are the 8.4 magnitude earthquake in Arequipa in 2001, the 7.9 magnitude earthquake in Ica in August 2007 and again a 6.3 magnitude earthquake in Arequipa in July 2017. These events underscore the need for seismic risk studies in the region. This study is of a descriptive and correlational type, with a cross-sectional design, whose objective is to identify the areas in southern Peru with the highest risk of experiencing high magnitude earthquakes. The data come from the Geophysical Institute of Peru and cover the period from 1960 to 2023, analyzing earthquakes with a magnitude equal to or greater than 5.5 MW. The methodology of (Sadeghian, 2012), based on the semi-Markov model, was applied to predict time and location of seismic events, extending this model also to depth states. The Pisco-Ica and Chala-Atico areas are highlighted as the most at risk for the occurrence of large magnitude earthquakes.El Perú se sitúa en la región sísmica del Pacífico Sur y experimenta con frecuencia sismos significativos. Entre los eventos más relevantes se encuentran el sismo de 8.4 grados de magnitud ocurrido en Arequipa en el año 2001, el sismo de magnitud 7.9 en Ica en agosto de 2007 y nuevamente un sismo de magnitud 6.3 en Arequipa en julio de 2017. Estos eventos subrayan la necesidad de realizar estudios de riesgo sísmico en la región. Este estudio es de tipo descriptivo y correlacional, con un diseño transversal, cuyo objetivo es identificar las áreas en el sur del Perú con mayor riesgo de experimentar sismos de alta magnitud. Los datos provienen del Instituto Geofísico del Perú y abarcan el periodo de 1960 a 2023, analizando sismos con magnitud igual o superior a 5.5 Mw. Se aplicó la metodología de (Sadeghian, 2012), basada en el modelo semi-Márkov, para predecir tiempo y ubicación de eventos sísmicos, extendiendo este modelo también a los estados de la profundidad. Se destacan las zonas de Pisco-Ica y Chala-Atico como las de mayor riesgo para la ocurrencia de sismos de gran magnitud.Universidad Nacional de Ingeniería2024-09-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer ReviewedEvaluado por paresapplication/pdftext/htmlapplication/epub+zipaudio/mpegaudio/mpeghttps://revistas.uni.edu.pe/index.php/iecos/article/view/219610.21754/iecos.v25i2.2196revista IECOS; Vol. 25 No. 2 (2024); 77-103Revista IECOS; Vol. 25 Núm. 2 (2024); 77-1032788-74802961-284510.21754/iecos.v25i2reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspaenghttps://revistas.uni.edu.pe/index.php/iecos/article/view/2196/3021https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2967https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2970https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2968https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2969Derechos de autor 2024 Carlos Risco Franco, Marlene Angela Payano Mendez, Joel Salomon Rios Nimahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/21962025-01-04T23:38:46Z |
dc.title.none.fl_str_mv |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 Modelos semi-Márkov para la evaluación del tiempo, lugar, magnitud y profundidad de los sismos ocurridos en el sur del Perú 2023 |
title |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 |
spellingShingle |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 Risco Franco, Carlos sismo semi-Markov Clúster Análisis Seismic semi-Markov Cluster Analysis |
title_short |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 |
title_full |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 |
title_fullStr |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 |
title_full_unstemmed |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 |
title_sort |
Semi-Markov models for the evaluation of time, location, magnitude and depth of earthquakes in southern Peru 2023 |
dc.creator.none.fl_str_mv |
Risco Franco, Carlos Payano Mendez, Marlene Angela Rios Nima, Joel Salomon |
author |
Risco Franco, Carlos |
author_facet |
Risco Franco, Carlos Payano Mendez, Marlene Angela Rios Nima, Joel Salomon |
author_role |
author |
author2 |
Payano Mendez, Marlene Angela Rios Nima, Joel Salomon |
author2_role |
author author |
dc.subject.none.fl_str_mv |
sismo semi-Markov Clúster Análisis Seismic semi-Markov Cluster Analysis |
topic |
sismo semi-Markov Clúster Análisis Seismic semi-Markov Cluster Analysis |
description |
Peru is located in the South Pacific seismic region and frequently experiences significant earthquakes. Among the most relevant events are the 8.4 magnitude earthquake in Arequipa in 2001, the 7.9 magnitude earthquake in Ica in August 2007 and again a 6.3 magnitude earthquake in Arequipa in July 2017. These events underscore the need for seismic risk studies in the region. This study is of a descriptive and correlational type, with a cross-sectional design, whose objective is to identify the areas in southern Peru with the highest risk of experiencing high magnitude earthquakes. The data come from the Geophysical Institute of Peru and cover the period from 1960 to 2023, analyzing earthquakes with a magnitude equal to or greater than 5.5 MW. The methodology of (Sadeghian, 2012), based on the semi-Markov model, was applied to predict time and location of seismic events, extending this model also to depth states. The Pisco-Ica and Chala-Atico areas are highlighted as the most at risk for the occurrence of large magnitude earthquakes. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-09-27 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer Reviewed Evaluado por pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://revistas.uni.edu.pe/index.php/iecos/article/view/2196 10.21754/iecos.v25i2.2196 |
url |
https://revistas.uni.edu.pe/index.php/iecos/article/view/2196 |
identifier_str_mv |
10.21754/iecos.v25i2.2196 |
dc.language.none.fl_str_mv |
spa eng |
language |
spa eng |
dc.relation.none.fl_str_mv |
https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/3021 https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2967 https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2970 https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2968 https://revistas.uni.edu.pe/index.php/iecos/article/view/2196/2969 |
dc.rights.none.fl_str_mv |
Derechos de autor 2024 Carlos Risco Franco, Marlene Angela Payano Mendez, Joel Salomon Rios Nima https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Derechos de autor 2024 Carlos Risco Franco, Marlene Angela Payano Mendez, Joel Salomon Rios Nima https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf text/html application/epub+zip audio/mpeg audio/mpeg |
dc.publisher.none.fl_str_mv |
Universidad Nacional de Ingeniería |
publisher.none.fl_str_mv |
Universidad Nacional de Ingeniería |
dc.source.none.fl_str_mv |
revista IECOS; Vol. 25 No. 2 (2024); 77-103 Revista IECOS; Vol. 25 Núm. 2 (2024); 77-103 2788-7480 2961-2845 10.21754/iecos.v25i2 reponame:Revistas - Universidad Nacional de Ingeniería instname:Universidad Nacional de Ingeniería instacron:UNI |
instname_str |
Universidad Nacional de Ingeniería |
instacron_str |
UNI |
institution |
UNI |
reponame_str |
Revistas - Universidad Nacional de Ingeniería |
collection |
Revistas - Universidad Nacional de Ingeniería |
repository.name.fl_str_mv |
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repository.mail.fl_str_mv |
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1833562790526189568 |
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13.887938 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).