Optimal Location of Sensors for Early Detection of Tsunami Waves

Tsunami early detection systems are of great importance as they provide time to prepare for a tsunami and mitigate its impact. In this paper, we propose a method to determine the optimal location of a given number of sensors to report a tsunami as early as possible. The rainfall optimization algorit...

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Detalles Bibliográficos
Autores principales: Ferrolino, Angelie R., Lope, Jose Ernie C., Mendoza, Renier G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302854/
http://dx.doi.org/10.1007/978-3-030-50417-5_42
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author Ferrolino, Angelie R.
Lope, Jose Ernie C.
Mendoza, Renier G.
author_facet Ferrolino, Angelie R.
Lope, Jose Ernie C.
Mendoza, Renier G.
author_sort Ferrolino, Angelie R.
collection PubMed
description Tsunami early detection systems are of great importance as they provide time to prepare for a tsunami and mitigate its impact. In this paper, we propose a method to determine the optimal location of a given number of sensors to report a tsunami as early as possible. The rainfall optimization algorithm, a population-based algorithm, was used to solve the resulting optimization problem. Computation of wave travel times was done by illustrating the kinematics of a wave front using a linear approximation of the shallow water equations.
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spelling pubmed-73028542020-06-19 Optimal Location of Sensors for Early Detection of Tsunami Waves Ferrolino, Angelie R. Lope, Jose Ernie C. Mendoza, Renier G. Computational Science – ICCS 2020 Article Tsunami early detection systems are of great importance as they provide time to prepare for a tsunami and mitigate its impact. In this paper, we propose a method to determine the optimal location of a given number of sensors to report a tsunami as early as possible. The rainfall optimization algorithm, a population-based algorithm, was used to solve the resulting optimization problem. Computation of wave travel times was done by illustrating the kinematics of a wave front using a linear approximation of the shallow water equations. 2020-06-15 /pmc/articles/PMC7302854/ http://dx.doi.org/10.1007/978-3-030-50417-5_42 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Ferrolino, Angelie R.
Lope, Jose Ernie C.
Mendoza, Renier G.
Optimal Location of Sensors for Early Detection of Tsunami Waves
title Optimal Location of Sensors for Early Detection of Tsunami Waves
title_full Optimal Location of Sensors for Early Detection of Tsunami Waves
title_fullStr Optimal Location of Sensors for Early Detection of Tsunami Waves
title_full_unstemmed Optimal Location of Sensors for Early Detection of Tsunami Waves
title_short Optimal Location of Sensors for Early Detection of Tsunami Waves
title_sort optimal location of sensors for early detection of tsunami waves
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302854/
http://dx.doi.org/10.1007/978-3-030-50417-5_42
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AT lopejoseerniec optimallocationofsensorsforearlydetectionoftsunamiwaves
AT mendozarenierg optimallocationofsensorsforearlydetectionoftsunamiwaves

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