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Loss of life estimation and risk level classification due to a dam break
This report estimated the loss of life and the variation of risk level to people and properties from the city of São José do Jacuípe, at Bahia State, in Brazil, through a simulation of the dam break near the city. The simulations employ the HEC-RAS program with the HEC-GeoRAS plugin, both made avail...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043986/ https://www.ncbi.nlm.nih.gov/pubmed/35497045 http://dx.doi.org/10.1016/j.heliyon.2022.e09257 |
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author | de Oliveira, Alarcon Matos Conti, José Bueno Santos, Rosangela Leal de Oliveira, Lusanira Nogueira Aragão Brito, Carlos Alberto Oliveira Costa, Flavio Pietrobom de Santana, Erivelton Nonato |
author_facet | de Oliveira, Alarcon Matos Conti, José Bueno Santos, Rosangela Leal de Oliveira, Lusanira Nogueira Aragão Brito, Carlos Alberto Oliveira Costa, Flavio Pietrobom de Santana, Erivelton Nonato |
author_sort | de Oliveira, Alarcon Matos |
collection | PubMed |
description | This report estimated the loss of life and the variation of risk level to people and properties from the city of São José do Jacuípe, at Bahia State, in Brazil, through a simulation of the dam break near the city. The simulations employ the HEC-RAS program with the HEC-GeoRAS plugin, both made available by the U.S. Army Corps of Engineers. The program is a hydrological model for the hydric flow propagation arising from the complete resolution of the Saint-Venant equation, while the plugin was used for vector editing by creating a geomorphological model from the river basin. The results from the research demonstrated that the city is exposed to a risk that is time dependent. In addition, the lack of a warning system about a possible break could cause the death of almost all residents. Otherwise, with a warning system operating, the estimation of destruction would be dramatically reduced. |
format | Online Article Text |
id | pubmed-9043986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90439862022-04-28 Loss of life estimation and risk level classification due to a dam break de Oliveira, Alarcon Matos Conti, José Bueno Santos, Rosangela Leal de Oliveira, Lusanira Nogueira Aragão Brito, Carlos Alberto Oliveira Costa, Flavio Pietrobom de Santana, Erivelton Nonato Heliyon Research Article This report estimated the loss of life and the variation of risk level to people and properties from the city of São José do Jacuípe, at Bahia State, in Brazil, through a simulation of the dam break near the city. The simulations employ the HEC-RAS program with the HEC-GeoRAS plugin, both made available by the U.S. Army Corps of Engineers. The program is a hydrological model for the hydric flow propagation arising from the complete resolution of the Saint-Venant equation, while the plugin was used for vector editing by creating a geomorphological model from the river basin. The results from the research demonstrated that the city is exposed to a risk that is time dependent. In addition, the lack of a warning system about a possible break could cause the death of almost all residents. Otherwise, with a warning system operating, the estimation of destruction would be dramatically reduced. Elsevier 2022-04-14 /pmc/articles/PMC9043986/ /pubmed/35497045 http://dx.doi.org/10.1016/j.heliyon.2022.e09257 Text en © 2022 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article de Oliveira, Alarcon Matos Conti, José Bueno Santos, Rosangela Leal de Oliveira, Lusanira Nogueira Aragão Brito, Carlos Alberto Oliveira Costa, Flavio Pietrobom de Santana, Erivelton Nonato Loss of life estimation and risk level classification due to a dam break |
title | Loss of life estimation and risk level classification due to a dam break |
title_full | Loss of life estimation and risk level classification due to a dam break |
title_fullStr | Loss of life estimation and risk level classification due to a dam break |
title_full_unstemmed | Loss of life estimation and risk level classification due to a dam break |
title_short | Loss of life estimation and risk level classification due to a dam break |
title_sort | loss of life estimation and risk level classification due to a dam break |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043986/ https://www.ncbi.nlm.nih.gov/pubmed/35497045 http://dx.doi.org/10.1016/j.heliyon.2022.e09257 |
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