Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/30062 |
Resumo: | In order to generate a kernel density map and relate these with the CHIRPS precipitation data, in order to understand the space-time dynamics of hotspots and their relationship with precipitation in the municipality of Santarém in the state of Pará, Brazil. This work used data from BDQueimadas to spatialize fire outbreaks in the city of Santarém, in the state of Pará, in the year 2020, generating a kernel density map and relating it to the CHIRPS precipitation data, in order to understand the spatiotemporal dynamics of hotspots and their relationship with precipitation. For the visualization and management of the data, the QGIS 3.10 software was used, in which the data from BDQueimadas, the Belterra Automatic Station and CHIRPS were imported, the latter being exported via Google Earth Engine and inserted as an image with information on the amount of precipitation. and also tabulated numerical data about the image information. A possible relationship between fire outbreaks and precipitation volume in the municipality of Santarém for the year 2020 was demonstrated. Noting that the eastern portion of the municipality is the most affected with low rainfall and is the one with the most fire outbreaks. |
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Research, Society and Development |
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Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-BrazilAnálisis de focos de incendios a través de la geotecnología en el municipio de Santarém en el estado de Pará-BrasilAnálise dos focos de queimadas através de geotecnologia no município de Santarém no estado do Pará-BrasilMapa de densidadIncendios en la AmazoníaPrecipitación.Density mapFires in the AmazonPrecipitation.Mapa de densidadeQueimadas na AmazôniaPrecipitação.In order to generate a kernel density map and relate these with the CHIRPS precipitation data, in order to understand the space-time dynamics of hotspots and their relationship with precipitation in the municipality of Santarém in the state of Pará, Brazil. This work used data from BDQueimadas to spatialize fire outbreaks in the city of Santarém, in the state of Pará, in the year 2020, generating a kernel density map and relating it to the CHIRPS precipitation data, in order to understand the spatiotemporal dynamics of hotspots and their relationship with precipitation. For the visualization and management of the data, the QGIS 3.10 software was used, in which the data from BDQueimadas, the Belterra Automatic Station and CHIRPS were imported, the latter being exported via Google Earth Engine and inserted as an image with information on the amount of precipitation. and also tabulated numerical data about the image information. A possible relationship between fire outbreaks and precipitation volume in the municipality of Santarém for the year 2020 was demonstrated. Noting that the eastern portion of the municipality is the most affected with low rainfall and is the one with the most fire outbreaks.Con el fin de generar un mapa de densidad kernel y relacionarlo con los datos de precipitación CHIRPS, para comprender la dinámica espacio-temporal de los hotspots y su relación con la precipitación en el municipio de Santarém en el estado de Pará, Brasil. Este trabajo utilizó datos de BDQueimadas para espacializar focos de incendios en la ciudad de Santarém, en el estado de Pará, en el año 2020, generando un mapa de densidad kernel y relacionándolo con los datos de precipitación CHIRPS, con el fin de comprender la dinámica espaciotemporal de los hotspots. y su relación con la precipitación. Para la visualización y manejo de los datos se utilizó el software QGIS 3.10, en el cual se importaron los datos de BDQueimadas, la Estación Automática de Belterra y CHIRPS, siendo este último exportado vía Google Earth Engine e insertado como imagen con información de la cantidad de precipitación y también datos numéricos tabulados sobre la información de la imagen. Se demostró una posible relación entre los focos de incendios y el volumen de precipitaciones en el municipio de Santarém para el año 2020. Observándose que la porción este del municipio es la más afectada con escasas precipitaciones y es la que presenta más focos de incendios.Com o objetivo de gerar um mapa de densidade de kernel e relacionar estes com os dados de precipitação do CHIRPS, a fim de compreender a dinâmica espaço temporal dos focos de calor e sua relação com a precipitaçãono município de Santarém no estado do Pará, Brasil. Este trabalho utilizou os dados do BDQueimadas para espacializar os focos de queimadas na cidade de Santarém, no estado do Pará, no ano de 2020, gerarando um mapa de densidade de kernel e relacionando estes com os dados de precipitação do CHIRPS, a fim de compreender a dinâmica espaçotemporal dos focos de calor e sua relação com a precipitação. Para a visualização e gerenciamento dos dados, foi utilizado o software QGIS 3.10, no qual foram importados os dados do BDQueimadas, da Estação Automática Belterra e do CHIRPS, sendo este último exportado via Google Earth Engine e inserido como imagem com informações da quantidade de precipitação e também dados numéricos tabelados acerca das informações das imagens. Demonstrou-se uma possível relação entre focos de queimadas e volume de precipitação no município de Santarém para o ano de 2020. Destacando-se que a porção leste do município é a mais afetada com a baixa precipitação e é a que mais concentra focos de queimadas.Research, Society and Development2022-08-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3006210.33448/rsd-v11i11.30062Research, Society and Development; Vol. 11 No. 11; e419111130062Research, Society and Development; Vol. 11 Núm. 11; e419111130062Research, Society and Development; v. 11 n. 11; e4191111300622525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/30062/28578Copyright (c) 2022 Breno Eduardo dos Santos Alves; Marcelo Costa Damasceno ; Alexandre Santos Fernandes Filho ; Francimary da Silva Carneiro; Tamires Borges de Oliveira ; Ana Marcela Alves dos Santos; Marcio Braga Amorim; Klewton Adriano Oliveira Pinheirohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAlves, Breno Eduardo dos Santos Damasceno , Marcelo Costa Fernandes Filho , Alexandre Santos Carneiro, Francimary da Silva Oliveira , Tamires Borges de Santos, Ana Marcela Alves dos Amorim, Marcio Braga Pinheiro, Klewton Adriano Oliveira 2022-09-05T13:24:46Zoai:ojs.pkp.sfu.ca:article/30062Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:46:57.030637Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil Análisis de focos de incendios a través de la geotecnología en el municipio de Santarém en el estado de Pará-Brasil Análise dos focos de queimadas através de geotecnologia no município de Santarém no estado do Pará-Brasil |
title |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil |
spellingShingle |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil Alves, Breno Eduardo dos Santos Mapa de densidad Incendios en la Amazonía Precipitación. Density map Fires in the Amazon Precipitation. Mapa de densidade Queimadas na Amazônia Precipitação. |
title_short |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil |
title_full |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil |
title_fullStr |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil |
title_full_unstemmed |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil |
title_sort |
Analysis of fire outbreaks through geotechnology in the municipality of Santarém in the state of Pará-Brazil |
author |
Alves, Breno Eduardo dos Santos |
author_facet |
Alves, Breno Eduardo dos Santos Damasceno , Marcelo Costa Fernandes Filho , Alexandre Santos Carneiro, Francimary da Silva Oliveira , Tamires Borges de Santos, Ana Marcela Alves dos Amorim, Marcio Braga Pinheiro, Klewton Adriano Oliveira |
author_role |
author |
author2 |
Damasceno , Marcelo Costa Fernandes Filho , Alexandre Santos Carneiro, Francimary da Silva Oliveira , Tamires Borges de Santos, Ana Marcela Alves dos Amorim, Marcio Braga Pinheiro, Klewton Adriano Oliveira |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Alves, Breno Eduardo dos Santos Damasceno , Marcelo Costa Fernandes Filho , Alexandre Santos Carneiro, Francimary da Silva Oliveira , Tamires Borges de Santos, Ana Marcela Alves dos Amorim, Marcio Braga Pinheiro, Klewton Adriano Oliveira |
dc.subject.por.fl_str_mv |
Mapa de densidad Incendios en la Amazonía Precipitación. Density map Fires in the Amazon Precipitation. Mapa de densidade Queimadas na Amazônia Precipitação. |
topic |
Mapa de densidad Incendios en la Amazonía Precipitación. Density map Fires in the Amazon Precipitation. Mapa de densidade Queimadas na Amazônia Precipitação. |
description |
In order to generate a kernel density map and relate these with the CHIRPS precipitation data, in order to understand the space-time dynamics of hotspots and their relationship with precipitation in the municipality of Santarém in the state of Pará, Brazil. This work used data from BDQueimadas to spatialize fire outbreaks in the city of Santarém, in the state of Pará, in the year 2020, generating a kernel density map and relating it to the CHIRPS precipitation data, in order to understand the spatiotemporal dynamics of hotspots and their relationship with precipitation. For the visualization and management of the data, the QGIS 3.10 software was used, in which the data from BDQueimadas, the Belterra Automatic Station and CHIRPS were imported, the latter being exported via Google Earth Engine and inserted as an image with information on the amount of precipitation. and also tabulated numerical data about the image information. A possible relationship between fire outbreaks and precipitation volume in the municipality of Santarém for the year 2020 was demonstrated. Noting that the eastern portion of the municipality is the most affected with low rainfall and is the one with the most fire outbreaks. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-08-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/30062 10.33448/rsd-v11i11.30062 |
url |
https://rsdjournal.org/index.php/rsd/article/view/30062 |
identifier_str_mv |
10.33448/rsd-v11i11.30062 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/30062/28578 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 11; e419111130062 Research, Society and Development; Vol. 11 Núm. 11; e419111130062 Research, Society and Development; v. 11 n. 11; e419111130062 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052713436971008 |