Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas

Detalhes bibliográficos
Autor(a) principal: Heinen, Gabriela de Vargas
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Manancial - Repositório Digital da UFSM
Texto Completo: http://repositorio.ufsm.br/handle/1/30294
Resumo: Precision agriculture and irrigation improve yields and efficiency on agricultural activity. It is important to consider the impact of irrigation on the environment and adopt mitigation solutions. In this work, regression equations model for remote prediction of environmental impact caused by the construction of irrigation dams in the micro watersheds of the Ijuizinho River/RS was developed through quantitative data. For this, 20 dams were selected in the study area, where a historic of construction and maintenance was informed. Two buffers were drawn around the dams, considering the minimum PPA required for dams following current environmental legislation, Law Number 12.651/2012 and CONSEMA Resolution nº 323/2016. To carry out the spatial analysis of land use and occupation, images from the Sentinel-2A sensor were selected. The pre-processing images was carried out following supervised classification to determine the land use classification. The information was used to obtain the proportion of each type of habitat present in the study area, namely: water, tillage, arboreal vegetation, damp areas, and undergrowth. For the analysis of enviromental impact was realized equations of modeling using multiple linear regression and the Pearson’s correlation. Currently, there are no forms of prior analysis to define the environmental impact caused by the construction of an irrigation dam. Prior analysis of the environmental impact would be an important tool for decisionmaking on environmental licensing. The proposed methodology does not replace the other licensing steps but may justify their starts. Based on the present data set and statistical analyses applied, developing models to predict the environmental impact was not possible. Therefore, it is important to consider the peculiarities and importance of each habitat in the watershed. The suppression of a stable habitat for the construction of a dam, even with PPA recovery will cause an environmental impact.
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spelling Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadasEvaluation of the impact on dams in the previous and current scenario in affected areasIrrigaçãoBarragemÁrea de preservação permanenteHabitats e impacto ambientalDamIrrigationPermanent preservation areaHabitats and environmental impactCNPQ::CIENCIAS AGRARIAS::AGRONOMIAPrecision agriculture and irrigation improve yields and efficiency on agricultural activity. It is important to consider the impact of irrigation on the environment and adopt mitigation solutions. In this work, regression equations model for remote prediction of environmental impact caused by the construction of irrigation dams in the micro watersheds of the Ijuizinho River/RS was developed through quantitative data. For this, 20 dams were selected in the study area, where a historic of construction and maintenance was informed. Two buffers were drawn around the dams, considering the minimum PPA required for dams following current environmental legislation, Law Number 12.651/2012 and CONSEMA Resolution nº 323/2016. To carry out the spatial analysis of land use and occupation, images from the Sentinel-2A sensor were selected. The pre-processing images was carried out following supervised classification to determine the land use classification. The information was used to obtain the proportion of each type of habitat present in the study area, namely: water, tillage, arboreal vegetation, damp areas, and undergrowth. For the analysis of enviromental impact was realized equations of modeling using multiple linear regression and the Pearson’s correlation. Currently, there are no forms of prior analysis to define the environmental impact caused by the construction of an irrigation dam. Prior analysis of the environmental impact would be an important tool for decisionmaking on environmental licensing. The proposed methodology does not replace the other licensing steps but may justify their starts. Based on the present data set and statistical analyses applied, developing models to predict the environmental impact was not possible. Therefore, it is important to consider the peculiarities and importance of each habitat in the watershed. The suppression of a stable habitat for the construction of a dam, even with PPA recovery will cause an environmental impact.A agricultura de precisão e a irrigação melhoram a eficiência e produtividade agrícola. É importante considerar o impacto da irrigação no meio ambiente e tomar medidas de mitigação. Neste trabalho buscou-se avaliar com equações de regressões algum modelo capaz de prever remotamente o impacto ambiental causado pela construção de barragens utilizadas para abastecer um sistema de irrigação por pivôs de irrigação na Microbacia Hidrográfica do Rio Ijuizinho/RS, através de dados quantitativos. Para isso, foram selecionadas 20 barragens da área de estudo onde o histórico já era conhecido. Foram traçados dois buffers entorno das barragens, considerando a APP mínima exigida para barragens de acordo com a legislação ambiental vigente, de acordo com a Lei nº 12.651/2012 e a Resolução do CONSEMA nº 323/2016. Para fazer a análise espacial do uso e ocupação de solo foram selecionadas imagens do sensor Sentinel-2A. Foi realizado o pré-processamento das imagens e para o processamento da imagem foi utilizado a classificação supervisionada para determinar a classificação do uso do solo. As informações foram utilizadas para obter a proporção de cada tipo de habitat presente na área de estudo, sendo eles, água, lavoura, vegetação arbórea, área úmida e vegetação rasteira. Para a análise do impacto ambiental foi realizado equações de modelagem utilizando regressão linear múltipla e a correlação de Pearson. Atualmente, não existem formas de análise prévia para definir o impacto ambiental causado na construção de uma barragem de irrigação. A análise prévia do impacto ambiental seria uma ferramenta importante para a tomada de decisão do licenciamento ambiental. A metodologia proposta não substitui as outras etapas do licenciamento, mas pode justificar seu início. Com base nos dados e análises estatísticas, não foi possível desenvolver modelos para prever o impacto ambiental. É importante considerar a peculiaridade e importância de cada habitat na microbacia. A supressão de um habitat estável para a construção de uma barragem, mesmo com recuperação de APP, acarretará algum nível de impacto ambiental.Universidade Federal de Santa MariaBrasilAgronomiaUFSMPrograma de Pós-Graduação em Agricultura de PrecisãoColégio Politécnico da UFSMSobrinho, José Cardosohttp://lattes.cnpq.br/2780722238505203Fortes, Fabiano de OliveiraSoares, Mauricio FornalskiHeinen, Gabriela de Vargas2023-10-04T18:16:12Z2023-10-04T18:16:12Z2023-08-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/30294porAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2023-10-04T18:16:12Zoai:repositorio.ufsm.br:1/30294Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/ONGhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.comopendoar:2023-10-04T18:16:12Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
Evaluation of the impact on dams in the previous and current scenario in affected areas
title Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
spellingShingle Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
Heinen, Gabriela de Vargas
Irrigação
Barragem
Área de preservação permanente
Habitats e impacto ambiental
Dam
Irrigation
Permanent preservation area
Habitats and environmental impact
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
title_full Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
title_fullStr Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
title_full_unstemmed Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
title_sort Avaliação do impacto em barragens no cenário prévio e atual em áreas afetadas
author Heinen, Gabriela de Vargas
author_facet Heinen, Gabriela de Vargas
author_role author
dc.contributor.none.fl_str_mv Sobrinho, José Cardoso
http://lattes.cnpq.br/2780722238505203
Fortes, Fabiano de Oliveira
Soares, Mauricio Fornalski
dc.contributor.author.fl_str_mv Heinen, Gabriela de Vargas
dc.subject.por.fl_str_mv Irrigação
Barragem
Área de preservação permanente
Habitats e impacto ambiental
Dam
Irrigation
Permanent preservation area
Habitats and environmental impact
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
topic Irrigação
Barragem
Área de preservação permanente
Habitats e impacto ambiental
Dam
Irrigation
Permanent preservation area
Habitats and environmental impact
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Precision agriculture and irrigation improve yields and efficiency on agricultural activity. It is important to consider the impact of irrigation on the environment and adopt mitigation solutions. In this work, regression equations model for remote prediction of environmental impact caused by the construction of irrigation dams in the micro watersheds of the Ijuizinho River/RS was developed through quantitative data. For this, 20 dams were selected in the study area, where a historic of construction and maintenance was informed. Two buffers were drawn around the dams, considering the minimum PPA required for dams following current environmental legislation, Law Number 12.651/2012 and CONSEMA Resolution nº 323/2016. To carry out the spatial analysis of land use and occupation, images from the Sentinel-2A sensor were selected. The pre-processing images was carried out following supervised classification to determine the land use classification. The information was used to obtain the proportion of each type of habitat present in the study area, namely: water, tillage, arboreal vegetation, damp areas, and undergrowth. For the analysis of enviromental impact was realized equations of modeling using multiple linear regression and the Pearson’s correlation. Currently, there are no forms of prior analysis to define the environmental impact caused by the construction of an irrigation dam. Prior analysis of the environmental impact would be an important tool for decisionmaking on environmental licensing. The proposed methodology does not replace the other licensing steps but may justify their starts. Based on the present data set and statistical analyses applied, developing models to predict the environmental impact was not possible. Therefore, it is important to consider the peculiarities and importance of each habitat in the watershed. The suppression of a stable habitat for the construction of a dam, even with PPA recovery will cause an environmental impact.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-04T18:16:12Z
2023-10-04T18:16:12Z
2023-08-04
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 http://repositorio.ufsm.br/handle/1/30294
url http://repositorio.ufsm.br/handle/1/30294
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
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 Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Agronomia
UFSM
Programa de Pós-Graduação em Agricultura de Precisão
Colégio Politécnico da UFSM
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
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instname_str Universidade Federal de Santa Maria (UFSM)
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institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com
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