Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019
Descripción del Articulo
In this study, the Markov Chains model was applied to identify areas with the highest risk of earthquakes in the geographic area of Lima - Ica, which is considered one of the most active seismic zones in Peru. There are few research works with the application of probabilistic models to earthquakes i...
| Autor: | |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2019 |
| Institución: | Universidad Nacional de Ingeniería |
| Repositorio: | Revistas - Universidad Nacional de Ingeniería |
| Lenguaje: | español inglés |
| OAI Identifier: | oai:oai:revistas.uni.edu.pe:article/1187 |
| Enlace del recurso: | https://revistas.uni.edu.pe/index.php/iecos/article/view/1187 |
| Nivel de acceso: | acceso abierto |
| Materia: | Sismos cadenas de Markov CTIP Earthquakes Markov chains |
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Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019Cadenas de Markov para la identificación de zonas de mayor riesgo de ocurrencia de sismos en Lima-Ica 2019Risco Franco, CarlosSismoscadenas de MarkovCTIPEarthquakesMarkov chainsCTIPIn this study, the Markov Chains model was applied to identify areas with the highest risk of earthquakes in the geographic area of Lima - Ica, which is considered one of the most active seismic zones in Peru. There are few research works with the application of probabilistic models to earthquakes in Peru. In the present study we have used the information of the earthquakes that have occurred in Lima-Ica from 2017 to 2019 (IGP) and we have found that the Lima-Oeste area is the one with the highest risk of earthquakes, approaching this result , for the case of Lima, with the result found by other authors, with different methods.En este estudio se aplicó el modelo de cadenas de Markov para identificar zonas de mayor riesgo de ocurrencia de sismos en el área geográfica de Lima-Ica, la cual es considerada una de las zonas sísmicas más activas del Perú. Existen pocos trabajos de investigación con aplicación de modelos probabilísticos a sismos en el Perú. En el presente estudio hemos usado la información de los sismos que han ocurrido en Lima- Ica del 2017 al 2019 (IGP) y hemos hallado que la zona de Lima-Oeste, es la que presenta mayor riesgo de ocurrencia de sismos, aproximándose este resultado, para el caso de Lima, con el resultado hallado por otros autores, con métodos diferentes.Universidad Nacional de Ingeniería2019-11-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer ReviewedEvaluado por paresapplication/pdfaudio/mpegaudio/mpeghttps://revistas.uni.edu.pe/index.php/iecos/article/view/118710.21754/iecos.v20i0.1187revista IECOS; Vol. 20 (2019); 115-124Revista IECOS; Vol. 20 (2019); 115-1242788-74802961-284510.21754/iecos.v20i0reponame:Revistas - Universidad Nacional de Ingenieríainstname:Universidad Nacional de Ingenieríainstacron:UNIspaenghttps://revistas.uni.edu.pe/index.php/iecos/article/view/1187/3200https://revistas.uni.edu.pe/index.php/iecos/article/view/1187/3201https://revistas.uni.edu.pe/index.php/iecos/article/view/1187/3202Derechos de autor 2019 Carlos Risco Francohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:oai:revistas.uni.edu.pe:article/11872025-01-20T10:12:44Z |
| dc.title.none.fl_str_mv |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 Cadenas de Markov para la identificación de zonas de mayor riesgo de ocurrencia de sismos en Lima-Ica 2019 |
| title |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 |
| spellingShingle |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 Risco Franco, Carlos Sismos cadenas de Markov CTIP Earthquakes Markov chains CTIP |
| title_short |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 |
| title_full |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 |
| title_fullStr |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 |
| title_full_unstemmed |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 |
| title_sort |
Markov chains for the identification of areas at higher risk of earthquake occurrence in Lima-Ica 2019 |
| dc.creator.none.fl_str_mv |
Risco Franco, Carlos |
| author |
Risco Franco, Carlos |
| author_facet |
Risco Franco, Carlos |
| author_role |
author |
| dc.subject.none.fl_str_mv |
Sismos cadenas de Markov CTIP Earthquakes Markov chains CTIP |
| topic |
Sismos cadenas de Markov CTIP Earthquakes Markov chains CTIP |
| description |
In this study, the Markov Chains model was applied to identify areas with the highest risk of earthquakes in the geographic area of Lima - Ica, which is considered one of the most active seismic zones in Peru. There are few research works with the application of probabilistic models to earthquakes in Peru. In the present study we have used the information of the earthquakes that have occurred in Lima-Ica from 2017 to 2019 (IGP) and we have found that the Lima-Oeste area is the one with the highest risk of earthquakes, approaching this result , for the case of Lima, with the result found by other authors, with different methods. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019-11-01 |
| 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/1187 10.21754/iecos.v20i0.1187 |
| url |
https://revistas.uni.edu.pe/index.php/iecos/article/view/1187 |
| identifier_str_mv |
10.21754/iecos.v20i0.1187 |
| 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/1187/3200 https://revistas.uni.edu.pe/index.php/iecos/article/view/1187/3201 https://revistas.uni.edu.pe/index.php/iecos/article/view/1187/3202 |
| dc.rights.none.fl_str_mv |
Derechos de autor 2019 Carlos Risco Franco https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
Derechos de autor 2019 Carlos Risco Franco https://creativecommons.org/licenses/by/4.0 |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf 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. 20 (2019); 115-124 Revista IECOS; Vol. 20 (2019); 115-124 2788-7480 2961-2845 10.21754/iecos.v20i0 reponame:Revistas - Universidad Nacional de Ingeniería instname:Universidad Nacional de Ingeniería instacron:UNI |
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Universidad Nacional de Ingeniería |
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UNI |
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UNI |
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Revistas - Universidad Nacional de Ingeniería |
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Revistas - Universidad Nacional de Ingeniería |
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13.924177 |
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).