Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG
| Ano de defesa: | 2021 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | , |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | por |
| Instituição de defesa: |
Universidade Federal de Alfenas
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Geografia
|
| Departamento: |
Instituto de Ciências da Natureza
|
| País: |
Brasil
|
| Palavras-chave em Português: | |
| Área do conhecimento CNPq: | |
| Link de acesso: | https://repositorio.unifal-mg.edu.br/handle/123456789/1831 |
Resumo: | The disordered occupation of spaces by society causes an increase in environmental and social problems, including soil erosion, which at present is sometimes characterized as an irreversible problem. Several studies aim to subsidize the fight against erosion, among them the studies of environmental fragility, which aims to identify the fragilities and potentialities of the environments based on the integrated analysis of the landscape. In this sense, the main objective of this work is to apply an environmental fragility methodology in the Serra da Boa Esperança State Park (SBESP), with the purpose of mapping areas with greater and lesser degree of fragility, considering the evidence of erosive processes and movements of mass. This methodology uses geospatial analysis techniques in GIS to map the environmental fragility, through the integration of the variables Vegetation Index, Probability of Occurrence of Heavy Rains, Declivity, Density of Structural Lineaments and Density of Circulation Routes, being carried out in this work. a methodological adaptation, which consists of the addition of the Drainage Density variable. To obtain Environmental Fragility, these variables had their values rescheduled between 0 and 1 by the Fuzzy logic, being subsequently integrated through weighted algebra, with each one being assigned a weight by the Kolmogorov-Smirnov statistical test, regarding its relationship with the evidence of erosive forms in the park. The results obtained demonstrate that the areas that present greater fragility are found in the central sector of PESBE, being mostly inserted in the Hills with Smooth Hillsides compartment, related to a weak vegetation cover and high drainage densities and circulation routes. |
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Rodrigues Neto, Manoel Ribeirohttp://lattes.cnpq.br/4553491446270471Messias, Cassiano GustavoSantos, Clibson Alves DosGarofalo, Danilo TrovoFerreira, Marta Felícia Marujohttp://lattes.cnpq.br/38590742420172172021-06-24T18:44:53Z2021-05-10RODRIGUES NETO, Manoel Ribeiro. Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG. 2021. 174 f. Dissertação (Mestrado em Geografia) - Universidade Federal de Alfenas, Alfenas, MG, 2021.https://repositorio.unifal-mg.edu.br/handle/123456789/1831The disordered occupation of spaces by society causes an increase in environmental and social problems, including soil erosion, which at present is sometimes characterized as an irreversible problem. Several studies aim to subsidize the fight against erosion, among them the studies of environmental fragility, which aims to identify the fragilities and potentialities of the environments based on the integrated analysis of the landscape. In this sense, the main objective of this work is to apply an environmental fragility methodology in the Serra da Boa Esperança State Park (SBESP), with the purpose of mapping areas with greater and lesser degree of fragility, considering the evidence of erosive processes and movements of mass. This methodology uses geospatial analysis techniques in GIS to map the environmental fragility, through the integration of the variables Vegetation Index, Probability of Occurrence of Heavy Rains, Declivity, Density of Structural Lineaments and Density of Circulation Routes, being carried out in this work. a methodological adaptation, which consists of the addition of the Drainage Density variable. To obtain Environmental Fragility, these variables had their values rescheduled between 0 and 1 by the Fuzzy logic, being subsequently integrated through weighted algebra, with each one being assigned a weight by the Kolmogorov-Smirnov statistical test, regarding its relationship with the evidence of erosive forms in the park. The results obtained demonstrate that the areas that present greater fragility are found in the central sector of PESBE, being mostly inserted in the Hills with Smooth Hillsides compartment, related to a weak vegetation cover and high drainage densities and circulation routes.A ocupação desordenada dos espaços pela sociedade causa o aumento de problemas ambientais e sociais, podendo-se citar dentre eles a erosão dos solos, que na atualidade por vezes se caracteriza como um problema irreversível. Diversos estudos visam subsidiar o combate à erosão, dentre eles os estudos de fragilidade ambiental, que tem por objetivo identificar as fragilidades e potencialidades dos ambientes com base na análise integrada da paisagem. Nesse sentido, o objetivo principal desse trabalho é aplicar uma metodologia de fragilidade ambiental no Parque Estadual Serra da Boa Esperança (PESBE), com a finalidade de mapear áreas com maior e menor grau de fragilidade, considerando-se as evidências de processos erosivos e movimentos de massa. Essa metodologia utiliza técnicas de análise geoespacial em SIG para o mapeamento da fragilidade ambiental, por meio da integração das variáveis Índice de Vegetação, Probabilidade de Ocorrência de Chuvas Intensas, Declividade, Densidade de Lineamentos Estruturais e Densidade de Vias de Circulação, sendo neste trabalho realizada uma adaptação metodológica, que consiste no acréscimo da variável Densidade de Drenagem. Para a obtenção da Fragilidade Ambiental, essas variáveis tiveram seus valores reescalonados entre 0 e 1 pela lógica Fuzzy, sendo posteriormente integradas por meio de álgebra ponderada, sendo à cada uma atribuído um peso pelo teste estatístico Kolmogorov-Smirnov, referente à sua relação com a evidência de formas erosivas no parque. Os resultados obtidos demonstram que as áreas que apresentam maior fragilidade se encontram no setor central do PESBE, estando majoritariamente inseridas no compartimento Morros com Encostas Suaves, relacionadas a uma cobertura vegetal pouco vigorosa e a altas densidades de drenagem e de vias de circulação.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal de AlfenasPrograma de Pós-Graduação em GeografiaUNIFAL-MGBrasilInstituto de Ciências da Naturezainfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/GeomorfologiaPaisagemAnálise IntegradaTeste de Kolmogorov - SmirnovUnidade de ConservaçãoGEOGRAFIA FISICA::GEOMORFOLOGIAAplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MGinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/publishedVersion454226360311113921050060060078759817871169324922075167498588264571reponame:Biblioteca Digital de Teses e Dissertações da UNIFALinstname:Universidade Federal de Alfenas (UNIFAL)instacron:UNIFALRodrigues Neto, Manoel RibeiroLICENSElicense.txtlicense.txttext/plain; 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Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| title |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| spellingShingle |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG Rodrigues Neto, Manoel Ribeiro Geomorfologia Paisagem Análise Integrada Teste de Kolmogorov - Smirnov Unidade de Conservação GEOGRAFIA FISICA::GEOMORFOLOGIA |
| title_short |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| title_full |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| title_fullStr |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| title_full_unstemmed |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| title_sort |
Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG |
| author |
Rodrigues Neto, Manoel Ribeiro |
| author_facet |
Rodrigues Neto, Manoel Ribeiro |
| author_role |
author |
| dc.contributor.author.fl_str_mv |
Rodrigues Neto, Manoel Ribeiro |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/4553491446270471 |
| dc.contributor.advisor-co1.fl_str_mv |
Messias, Cassiano Gustavo |
| dc.contributor.referee1.fl_str_mv |
Santos, Clibson Alves Dos |
| dc.contributor.referee2.fl_str_mv |
Garofalo, Danilo Trovo |
| dc.contributor.advisor1.fl_str_mv |
Ferreira, Marta Felícia Marujo |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/3859074242017217 |
| contributor_str_mv |
Messias, Cassiano Gustavo Santos, Clibson Alves Dos Garofalo, Danilo Trovo Ferreira, Marta Felícia Marujo |
| dc.subject.por.fl_str_mv |
Geomorfologia Paisagem Análise Integrada Teste de Kolmogorov - Smirnov Unidade de Conservação |
| topic |
Geomorfologia Paisagem Análise Integrada Teste de Kolmogorov - Smirnov Unidade de Conservação GEOGRAFIA FISICA::GEOMORFOLOGIA |
| dc.subject.cnpq.fl_str_mv |
GEOGRAFIA FISICA::GEOMORFOLOGIA |
| description |
The disordered occupation of spaces by society causes an increase in environmental and social problems, including soil erosion, which at present is sometimes characterized as an irreversible problem. Several studies aim to subsidize the fight against erosion, among them the studies of environmental fragility, which aims to identify the fragilities and potentialities of the environments based on the integrated analysis of the landscape. In this sense, the main objective of this work is to apply an environmental fragility methodology in the Serra da Boa Esperança State Park (SBESP), with the purpose of mapping areas with greater and lesser degree of fragility, considering the evidence of erosive processes and movements of mass. This methodology uses geospatial analysis techniques in GIS to map the environmental fragility, through the integration of the variables Vegetation Index, Probability of Occurrence of Heavy Rains, Declivity, Density of Structural Lineaments and Density of Circulation Routes, being carried out in this work. a methodological adaptation, which consists of the addition of the Drainage Density variable. To obtain Environmental Fragility, these variables had their values rescheduled between 0 and 1 by the Fuzzy logic, being subsequently integrated through weighted algebra, with each one being assigned a weight by the Kolmogorov-Smirnov statistical test, regarding its relationship with the evidence of erosive forms in the park. The results obtained demonstrate that the areas that present greater fragility are found in the central sector of PESBE, being mostly inserted in the Hills with Smooth Hillsides compartment, related to a weak vegetation cover and high drainage densities and circulation routes. |
| publishDate |
2021 |
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2021-06-24T18:44:53Z |
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2021-05-10 |
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info:eu-repo/semantics/masterThesis |
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RODRIGUES NETO, Manoel Ribeiro. Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG. 2021. 174 f. Dissertação (Mestrado em Geografia) - Universidade Federal de Alfenas, Alfenas, MG, 2021. |
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https://repositorio.unifal-mg.edu.br/handle/123456789/1831 |
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RODRIGUES NETO, Manoel Ribeiro. Aplicação de um modelo geoespacial de fragilidade ambiental a processos erosivos no parque estadual serra da Boa Esperança - PESBE - MG. 2021. 174 f. Dissertação (Mestrado em Geografia) - Universidade Federal de Alfenas, Alfenas, MG, 2021. |
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Instituto de Ciências da Natureza |
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Universidade Federal de Alfenas |
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