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Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence

The monitoring of volcanoes, which show eruptive activity of any type, is very important in order to anticipate an imminent eruption and thus be able to notify the authorities in charge of protecting the potentially exposed population. However, dormant volcanoes should be monitored in the same way,...

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Autores principales: Que Salinas, Silvano Ulices, Sieron, Katrin, Córdoba Montiel, Francisco, Torres-Orozco , Rafael, Juárez Cerrillo, Sergio Francisco, Castro-Artola, Óscar, Arámbula, Raúl
Formato: Online Artículo
Lenguaje:spa
Publicado: Universidad Veracruzana 2022
Materias:
Acceso en línea:https://uvserva.uv.mx/index.php/Uvserva/article/view/2895
https://dx.doi.org/10.25009/uvs.vi14.2895
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author Que Salinas, Silvano Ulices
Sieron, Katrin
Córdoba Montiel, Francisco
Torres-Orozco , Rafael
Juárez Cerrillo, Sergio Francisco
Castro-Artola, Óscar
Arámbula, Raúl
author_facet Que Salinas, Silvano Ulices
Sieron, Katrin
Córdoba Montiel, Francisco
Torres-Orozco , Rafael
Juárez Cerrillo, Sergio Francisco
Castro-Artola, Óscar
Arámbula, Raúl
author_sort Que Salinas, Silvano Ulices
collection UVServa
description The monitoring of volcanoes, which show eruptive activity of any type, is very important in order to anticipate an imminent eruption and thus be able to notify the authorities in charge of protecting the potentially exposed population. However, dormant volcanoes should be monitored in the same way, albeit with less equipment. The reasons for this are multiple: 1) to know the activity of the dormant or resting volcano in order to be able to recognize possible changes that may indicate a reactivation 2) the record of "secondary" activity in between phases of activity, such as mass movement processes, such as mud or debris flows (lahars), landslides (rock falls), landslides, among others 3) create awareness in the population and in authorities that the "mountain" is an active volcano that can represent a hazard for the population in its vicinity during a reactivation and also at any time (inter-eruptive processes) 4) to have data (over years) that allow characterizing the volcano. The Seismological and Volcanological Observatory of Veracruz (OSV) is in the process of creating a semi-automated monitoring system for Pico de Orizaba volcano, with the support of CENAPRED, UNAM-Juriquilla, and other more experienced volcano observatories such as the Volcanological Observatory of the University of Colima and the Volcanological Monitoring Center and Seismological (CMVS).
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spelling oai_uvserva-article-28952023-04-28T16:19:10Z Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence Preparando un monitoreo más sistemático del volcán Pico de Orizaba usando herramientas modernas de redes neuronales e Inteligencia Artificial Que Salinas, Silvano Ulices Sieron, Katrin Córdoba Montiel, Francisco Torres-Orozco , Rafael Juárez Cerrillo, Sergio Francisco Castro-Artola, Óscar Arámbula, Raúl Volcán monitoreo inteligencia artificial red neuronal algoritmo Volcano Monitoring Artificial Intelligence Neuronal Network Algorithm The monitoring of volcanoes, which show eruptive activity of any type, is very important in order to anticipate an imminent eruption and thus be able to notify the authorities in charge of protecting the potentially exposed population. However, dormant volcanoes should be monitored in the same way, albeit with less equipment. The reasons for this are multiple: 1) to know the activity of the dormant or resting volcano in order to be able to recognize possible changes that may indicate a reactivation 2) the record of "secondary" activity in between phases of activity, such as mass movement processes, such as mud or debris flows (lahars), landslides (rock falls), landslides, among others 3) create awareness in the population and in authorities that the "mountain" is an active volcano that can represent a hazard for the population in its vicinity during a reactivation and also at any time (inter-eruptive processes) 4) to have data (over years) that allow characterizing the volcano. The Seismological and Volcanological Observatory of Veracruz (OSV) is in the process of creating a semi-automated monitoring system for Pico de Orizaba volcano, with the support of CENAPRED, UNAM-Juriquilla, and other more experienced volcano observatories such as the Volcanological Observatory of the University of Colima and the Volcanological Monitoring Center and Seismological (CMVS). El monitoreo de volcanes que muestran actividad eruptiva de cualquier naturaleza es muy importante para anticipar una erupción inminente y en consecuencia, alertar oportunamente a las autoridades encargadas de la protección de la población potencialmente expuesta. Sin embargo, los volcanes en estado de quietud o reposo deben monitorearse de igual forma, con una red básica de instrumentos. Las razones para ello son múltiples: 1) conocer la actividad del volcán dormido o en reposo para reconocer eventuales cambios en el mismo que pueden indicar una reactivación; 2) el registro de actividad “secundaria” en medio de fases de actividad como son los procesos de remoción en masa, flujos de lodo o detrito (lahares), derrumbes (caída de rocas), deslizamientos, entre otros; 3) crear consciencia en la población y en autoridades de que la “montaña” es un volcán activo que puede representar un peligro para la población en su cercanía durante un proceso de reactivación y también en cualquier momento (procesos inter-eruptivos); 4) disponer de datos (de años) que permitan caracterizar al volcán. El Observatorio Sismológico y Vulcanológico (OSV) está en el proceso de crear un sistema de monitoreo semiautomatizado del volcán Pico de Orizaba, con apoyo del CENAPRED, UNAM-Juriquilla, y otros observatorios de volcanes con más experiencia como el Observatorio Vulcanológico de la Universidad de Colima y Centro de Monitoreo Vulcanológico y Sismológico (CMVS). Universidad Veracruzana 2022-10-25 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Artículo de datos application/pdf text/xml https://uvserva.uv.mx/index.php/Uvserva/article/view/2895 10.25009/uvs.vi14.2895 UVserva; Núm. 14 (2022): octubre 2022-marzo 2023; 54-64 2448-7430 spa https://uvserva.uv.mx/index.php/Uvserva/article/view/2895/4812 https://uvserva.uv.mx/index.php/Uvserva/article/view/2895/4840 Derechos de autor 2022 Silvano Ulices Que Salinas, Dra. Katrin Sieron, Francisco Córdoba Montiel, Rafael Torres-Orozco , Sergio Francisco Juárez Cerrillo, Óscar Castro-Artola, Raúl Arámbula https://creativecommons.org/licenses/by-nc/4.0
spellingShingle Volcán
monitoreo
inteligencia artificial
red neuronal
algoritmo
Volcano
Monitoring
Artificial Intelligence
Neuronal Network
Algorithm
Que Salinas, Silvano Ulices
Sieron, Katrin
Córdoba Montiel, Francisco
Torres-Orozco , Rafael
Juárez Cerrillo, Sergio Francisco
Castro-Artola, Óscar
Arámbula, Raúl
Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence
title Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence
title_alt Preparando un monitoreo más sistemático del volcán Pico de Orizaba usando herramientas modernas de redes neuronales e Inteligencia Artificial
title_full Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence
title_fullStr Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence
title_full_unstemmed Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence
title_short Preparing a more systematic monitoring of the Pico de Orizaba volcano using modern tools of neural networks and Artificial Intelligence
title_sort preparing a more systematic monitoring of the pico de orizaba volcano using modern tools of neural networks and artificial intelligence
topic Volcán
monitoreo
inteligencia artificial
red neuronal
algoritmo
Volcano
Monitoring
Artificial Intelligence
Neuronal Network
Algorithm
topic_facet Volcán
monitoreo
inteligencia artificial
red neuronal
algoritmo
Volcano
Monitoring
Artificial Intelligence
Neuronal Network
Algorithm
url https://uvserva.uv.mx/index.php/Uvserva/article/view/2895
https://dx.doi.org/10.25009/uvs.vi14.2895
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