Locating seismo-volcanic signals in Turrialba Volcano (Costa Rica) using Python and Advanced Computing: a case of multidisciplinary collaboration for scientific development

 

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Библиографические подробности
Авторы: Cornejo-Suárez, Guillermo, van-der-Laat, Leonardo, Meneses, Esteban, Mora, Mauricio M., Pacheco, Javier Fco
Формат: artículo original
Статус:Versión publicada
Дата публикации:2019
Описание:Low frequency seismo-volcanic signals are generated by the internal motion of fluids like magma, gases and water. They commonly occur before or together with erupting activity. Therefore, there study is fundamental for monitoring volcanic activity and assessment of volcanic risk. Nevertheless, because of their source complexity, it’s not possible to use the classical procedures for seismic location, which were developed for locating the more common tectonic earthquakes. Moreover, the volcanic edifice heterogeneity modifies the waveform of seimo- volcanic signals, making the process of finding its location more challenging. Hence, signals must be processed using other methods that, because of their computational complexity, require advanced computing platforms (supercomputers), specially if real-time processing is required. However, seismic observatories of volcano monitoring in Central America have limited resources and may not afford in-house professional software developers. The present work analyzes a study case about a collaborative experience between specialists in volcano seismology and in advanced computing. We developed a computational platform to locate seismo-volcanic signals in Turrialba Volcano. Our principal conclusion is that the creation of multidisciplinary collaboration networks allow resource maximization to tackle and overcome many limitations common in our context (lack of human resource, technology, low budget, among others).
Страна:RepositorioTEC
Институт:Instituto Tecnológico de Costa Rica
Repositorio:RepositorioTEC
Язык:Español
OAI Identifier:oai:repositoriotec.tec.ac.cr:2238/11879
Online-ссылка:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/4168
https://hdl.handle.net/2238/11879
Access Level:acceso abierto
Ключевое слово:Tremores volcánicos
computación avanzada
localización de tremores
Python
Volcán Turrialba
Volcanic tremors
tremor location
advanced computing
Turrialba Volcano