Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images

Detalhes bibliográficos
Autor(a) principal: Fernandez Molina, Kevin Anthony
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Biblioteca Digital de Teses e Dissertações da USP
Texto Completo: https://www.teses.usp.br/teses/disponiveis/44/44141/tde-07122023-083728/
Resumo: The operation of Belo Monte hydroeletric plant has had significant on the natural hidrological cycle of the Xingu River. The hypothesis of this work suggests that the construction of the Belo Monte plant has caused a significant impact on the ecosystem, mainly through changes in hydrological dynamics, which in turn have induced alterations in the regions\'s floodplain vegetation. To test this hypothesis, the study aimed to determine the existence of a causal relationship between the time series data of the Normalized Difference Vegetation Index (NDVI) and the river water level (NCA), using the autoregressive model of Distributed Lags (ARDL). Where a structural causal relationship between these series was obtained as a result, which indicates a dynamic relationship between the NDVI and the NCA which can generate long-term effects such as variations in biodiversity, changes in forest structures and even alterations in the ecosystem around the Xingu river
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spelling Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing imagesMudanças na vegetação inundada do rio Xingu causadas pela barragem de Belo Monte: uma abordagem usando análise de cointegração e imagens de sensoriamento remotoBarragemCointegraçãoCointegrationDam impactEcossistemaEcosystemNDVINDVISérie temporalTime seriesThe operation of Belo Monte hydroeletric plant has had significant on the natural hidrological cycle of the Xingu River. The hypothesis of this work suggests that the construction of the Belo Monte plant has caused a significant impact on the ecosystem, mainly through changes in hydrological dynamics, which in turn have induced alterations in the regions\'s floodplain vegetation. To test this hypothesis, the study aimed to determine the existence of a causal relationship between the time series data of the Normalized Difference Vegetation Index (NDVI) and the river water level (NCA), using the autoregressive model of Distributed Lags (ARDL). Where a structural causal relationship between these series was obtained as a result, which indicates a dynamic relationship between the NDVI and the NCA which can generate long-term effects such as variations in biodiversity, changes in forest structures and even alterations in the ecosystem around the Xingu riverA operação da usina hidrelétrica de Belo Monte causou impactos significativos no ciclo hidrológico natural do rio Xingu. A hipótese deste trabalho sugere que a construção da usina de Belo Monte causou um impacto significativo no ecossistema, principalmente por meio de mudanças na dinâmica hidrológica, que, por sua vez, induziram alterações na vegetação da planície de inundação da região. Para testa essa hipótese, o estudo teve com objetivo determinar a existência de uma relação causal entre os dados da série temporal do Índice de Vegetação por Diferença Normalizada (NDVI) e o nível de água do rio (NCA), usando o modelo autorregressivo de defasagens distribuídas (ARDL). Como resultado, foi obtida uma relação causal estrutural entre essas séries, o que indica uma relação dinâmica entre o NDVI e o NCA que pode gerar efeitos de longo prazo, como variações na biodiversidade, mudanças nas estruturas florestais e até mesmo alterações no ecossistema ao redor do rio Xingu.Biblioteca Digitais de Teses e Dissertações da USPPupim, Fabiano do NascimentoFernandez Molina, Kevin Anthony 2023-10-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/44/44141/tde-07122023-083728/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2023-12-07T15:03:03Zoai:teses.usp.br:tde-07122023-083728Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212023-12-07T15:03:03Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
Mudanças na vegetação inundada do rio Xingu causadas pela barragem de Belo Monte: uma abordagem usando análise de cointegração e imagens de sensoriamento remoto
title Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
spellingShingle Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
Fernandez Molina, Kevin Anthony
Barragem
Cointegração
Cointegration
Dam impact
Ecossistema
Ecosystem
NDVI
NDVI
Série temporal
Time series
title_short Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
title_full Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
title_fullStr Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
title_full_unstemmed Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
title_sort Changes in the Xingu River flooded vegetation caused by Belo Monte Dam: an approach using cointegration analysis and remote sensing images
author Fernandez Molina, Kevin Anthony
author_facet Fernandez Molina, Kevin Anthony
author_role author
dc.contributor.none.fl_str_mv Pupim, Fabiano do Nascimento
dc.contributor.author.fl_str_mv Fernandez Molina, Kevin Anthony
dc.subject.por.fl_str_mv Barragem
Cointegração
Cointegration
Dam impact
Ecossistema
Ecosystem
NDVI
NDVI
Série temporal
Time series
topic Barragem
Cointegração
Cointegration
Dam impact
Ecossistema
Ecosystem
NDVI
NDVI
Série temporal
Time series
description The operation of Belo Monte hydroeletric plant has had significant on the natural hidrological cycle of the Xingu River. The hypothesis of this work suggests that the construction of the Belo Monte plant has caused a significant impact on the ecosystem, mainly through changes in hydrological dynamics, which in turn have induced alterations in the regions\'s floodplain vegetation. To test this hypothesis, the study aimed to determine the existence of a causal relationship between the time series data of the Normalized Difference Vegetation Index (NDVI) and the river water level (NCA), using the autoregressive model of Distributed Lags (ARDL). Where a structural causal relationship between these series was obtained as a result, which indicates a dynamic relationship between the NDVI and the NCA which can generate long-term effects such as variations in biodiversity, changes in forest structures and even alterations in the ecosystem around the Xingu river
publishDate 2023
dc.date.none.fl_str_mv 2023-10-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://www.teses.usp.br/teses/disponiveis/44/44141/tde-07122023-083728/
url https://www.teses.usp.br/teses/disponiveis/44/44141/tde-07122023-083728/
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv
dc.rights.driver.fl_str_mv Liberar o conteúdo para acesso público.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Liberar o conteúdo para acesso público.
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv
dc.publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
dc.source.none.fl_str_mv
reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Biblioteca Digital de Teses e Dissertações da USP
collection Biblioteca Digital de Teses e Dissertações da USP
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
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