USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Caminhos de Geografia |
Texto Completo: | https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60922 |
Resumo: | Water quality is an indispensable aspect in terms of its primary uses, especially for human supply purposes. This study aims to analyze some water quality parameters (turbidity, chlorophyll a, and Secchi's disk depth) in Doce River, using images from Landsat 8 satellite, made available through the Google Earth Engine platform. Data analysis was performed based on the water's characteristics before, during, and after Fundão Dam collapse, comparing remote sensing data provided by government agencies. The results obtained demonstrate the effectiveness of remote sensing as a tool for monitoring visible water quality parameters, highlighting significant changes in the disaster period, such as increased turbidity (about 445%) and loss of water transparency (approximately 29%) of Doce River. |
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USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZILUSO DE SENSORIAMENTO REMOTO PARA MONITORAMENTO DE PARÂMETROS DE QUALIDADE DE ÁGUA NO RIO DOCE, MINAS GERAIS, BRASILGeoprocessamentoLandsatDesastre ambientalGoogle Earth EngineGeoprocessingLandsatEnvironmental disasterGoogle Earth EngineWater quality is an indispensable aspect in terms of its primary uses, especially for human supply purposes. This study aims to analyze some water quality parameters (turbidity, chlorophyll a, and Secchi's disk depth) in Doce River, using images from Landsat 8 satellite, made available through the Google Earth Engine platform. Data analysis was performed based on the water's characteristics before, during, and after Fundão Dam collapse, comparing remote sensing data provided by government agencies. The results obtained demonstrate the effectiveness of remote sensing as a tool for monitoring visible water quality parameters, highlighting significant changes in the disaster period, such as increased turbidity (about 445%) and loss of water transparency (approximately 29%) of Doce River.A qualidade da água é um aspecto indispensável quando se trata dos seus principais usos, especialmente para fins de abastecimento humano. Este estudo teve como objetivo analisar alguns parâmetros de qualidade da água (turbidez, clorofila-a e profundidade do disco de Seciei) no Rio Doce, utilizando imagens do satélite Landsat 8, disponibilizadas através da plataforma do Google Earth Engine. A análise dos dados foi realizada com base nas características da água antes, durante e após o rompimento da Barragem de Fundão, comparando os dados disponibilizados por órgãos governamentais com combinações de bandas espectrais do satélite. Os resultados obtidos demonstraram a eficácia do sensoriamento remoto como ferramenta para monitoramento de parâmetros de qualidade de água visíveis, destacando grandes mudanças no período do desastre, como aumento da turbidez (cerca de 445%) e a perda de transparência das águas (aproximadamente 29%) do Rio Doce.EDUFU - Editora da Universidade Federal de Uberlândia2022-12-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6092210.14393/RCG239060922Caminhos de Geografia; Vol. 23 No. 90 (2022): Dezembro; 108-119Caminhos de Geografia; Vol. 23 Núm. 90 (2022): Dezembro; 108-119Caminhos de Geografia; v. 23 n. 90 (2022): Dezembro; 108-1191678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/60922/35190Copyright (c) 2022 Higor Costa de Brito, Rochele Sheila Vasconcelos, Iana Alexandra Alves Rufino, Yáscara Maia Araújo de Britohttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessde Brito, Higor CostaVasconcelos, Rochele SheilaRufino, Iana Alexandra Alvesde Brito, Yáscara Maia Araújo2022-12-08T18:47:00Zoai:ojs.www.seer.ufu.br:article/60922Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2022-12-08T18:47Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL USO DE SENSORIAMENTO REMOTO PARA MONITORAMENTO DE PARÂMETROS DE QUALIDADE DE ÁGUA NO RIO DOCE, MINAS GERAIS, BRASIL |
title |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL |
spellingShingle |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL de Brito, Higor Costa Geoprocessamento Landsat Desastre ambiental Google Earth Engine Geoprocessing Landsat Environmental disaster Google Earth Engine |
title_short |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL |
title_full |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL |
title_fullStr |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL |
title_full_unstemmed |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL |
title_sort |
USE OF REMOTE SENSING FOR MONITORING WATER QUALITY PARAMETERS IN DOCE RIVER, MINAS GERAIS, BRAZIL |
author |
de Brito, Higor Costa |
author_facet |
de Brito, Higor Costa Vasconcelos, Rochele Sheila Rufino, Iana Alexandra Alves de Brito, Yáscara Maia Araújo |
author_role |
author |
author2 |
Vasconcelos, Rochele Sheila Rufino, Iana Alexandra Alves de Brito, Yáscara Maia Araújo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
de Brito, Higor Costa Vasconcelos, Rochele Sheila Rufino, Iana Alexandra Alves de Brito, Yáscara Maia Araújo |
dc.subject.por.fl_str_mv |
Geoprocessamento Landsat Desastre ambiental Google Earth Engine Geoprocessing Landsat Environmental disaster Google Earth Engine |
topic |
Geoprocessamento Landsat Desastre ambiental Google Earth Engine Geoprocessing Landsat Environmental disaster Google Earth Engine |
description |
Water quality is an indispensable aspect in terms of its primary uses, especially for human supply purposes. This study aims to analyze some water quality parameters (turbidity, chlorophyll a, and Secchi's disk depth) in Doce River, using images from Landsat 8 satellite, made available through the Google Earth Engine platform. Data analysis was performed based on the water's characteristics before, during, and after Fundão Dam collapse, comparing remote sensing data provided by government agencies. The results obtained demonstrate the effectiveness of remote sensing as a tool for monitoring visible water quality parameters, highlighting significant changes in the disaster period, such as increased turbidity (about 445%) and loss of water transparency (approximately 29%) of Doce River. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-12-08 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60922 10.14393/RCG239060922 |
url |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60922 |
identifier_str_mv |
10.14393/RCG239060922 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60922/35190 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EDUFU - Editora da Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
EDUFU - Editora da Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Caminhos de Geografia; Vol. 23 No. 90 (2022): Dezembro; 108-119 Caminhos de Geografia; Vol. 23 Núm. 90 (2022): Dezembro; 108-119 Caminhos de Geografia; v. 23 n. 90 (2022): Dezembro; 108-119 1678-6343 reponame:Caminhos de Geografia instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Caminhos de Geografia |
collection |
Caminhos de Geografia |
repository.name.fl_str_mv |
Caminhos de Geografia - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
flaviasantosgeo@gmail.com |
_version_ |
1797067018951720960 |