Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás

Detalhes bibliográficos
Autor(a) principal: Botelho, Thiago Henrique Arbués
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFG
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/5648
Resumo: The monitoring of soil loss by erosion is a source of information relevant to land management, forecasting impacts and conservation recommendations. In this sense, the objective of this study was to apply computer simulation methodology of soil erosion using the Universal Soil Loss Equation (USLE) and sources of information available to characterize, quantify and analyze soil losses in the Samambaia River watershed (BHRS). This basin was chosen as the study unit, due to the availability of spatial data in different scales (1: 250,000 and 1: 10,000). A Geographic Information System (GIS) was used in handling, sorting and updating of data of interest as well as to build the Digital Elevation Model (DEM) and the spatial database of USLE factors in two different scales. To quantitatively analyze the results calculated the Natural Potential Erosion (PNE) and the current erosion (Ea) that considers the influence of coverage, Land Use and Occupancy (UCS), also used for qualitative studies of soil losses. The study area was divided into three sub-basins. The mapping of the UCS showed that agricultural areas represent about 70% of land cover in the sub-basin of Samambaia River and Arrasta-burro Stream. The results indicated that more than 80% of the area of these two sub-basins has a weak PNE. Have the sub-basin of Moreira Stream had the highest percentage of natural vegetation and forestry classes, as well as the lowest percentage of bare soil class, in relation to other sub-basins. However, had the highest average value of current erosion (71.10 Mg ha-1 yr-1), which is probably due to the PNE ranging from moderate to very strong in more than 40% of the area. Most of the basin soil has medium erodibility. For Cambisols and Petric Plinthosols of BHRS, the average soil loss is at least twice higher than the average level of tolerance. The LS factor has more influence in the PNE, especially when the relief was wavy, followed by the K factor, when the relief was flat. Use the database scale 1: 10,000 affected area of the watershed caused increases in slope and rise of strong corrugated relief classes, mountainous and rugged, yet showed higher coefficients of variation for all the factors of USLE. The results show greater difference between the wavy relief classes in both applied scales. In most maps produced by means of databases on different scales there is distinction of the results, especially for the slope maps, PNE and Ea generated for the watershed of the Samambaia. The analysis of soil losses in the areas of central pivot showed higher average and median values when using the scale 1: 250,000. It is important that managers and farmers are aware of the risks and provide mitigation measures. An interesting solution is to expand the use of lower impact to soil management systems, to promote its wider coverage, such as forestry, especially in the areas susceptible to erosion.
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spelling Griebeler, Nori Paulohttp://lattes.cnpq.br/2953067359172793Griebeler, Nori PauloMomoli, Renata SantosGonçalves, Sara Lane Sousahttp://lattes.cnpq.br/5629829866423266Botelho, Thiago Henrique Arbués2016-06-03T12:39:43Z2015-02-26BOTELHO, T. H. A. Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás. 2015. 129 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015.http://repositorio.bc.ufg.br/tede/handle/tede/5648The monitoring of soil loss by erosion is a source of information relevant to land management, forecasting impacts and conservation recommendations. In this sense, the objective of this study was to apply computer simulation methodology of soil erosion using the Universal Soil Loss Equation (USLE) and sources of information available to characterize, quantify and analyze soil losses in the Samambaia River watershed (BHRS). This basin was chosen as the study unit, due to the availability of spatial data in different scales (1: 250,000 and 1: 10,000). A Geographic Information System (GIS) was used in handling, sorting and updating of data of interest as well as to build the Digital Elevation Model (DEM) and the spatial database of USLE factors in two different scales. To quantitatively analyze the results calculated the Natural Potential Erosion (PNE) and the current erosion (Ea) that considers the influence of coverage, Land Use and Occupancy (UCS), also used for qualitative studies of soil losses. The study area was divided into three sub-basins. The mapping of the UCS showed that agricultural areas represent about 70% of land cover in the sub-basin of Samambaia River and Arrasta-burro Stream. The results indicated that more than 80% of the area of these two sub-basins has a weak PNE. Have the sub-basin of Moreira Stream had the highest percentage of natural vegetation and forestry classes, as well as the lowest percentage of bare soil class, in relation to other sub-basins. However, had the highest average value of current erosion (71.10 Mg ha-1 yr-1), which is probably due to the PNE ranging from moderate to very strong in more than 40% of the area. Most of the basin soil has medium erodibility. For Cambisols and Petric Plinthosols of BHRS, the average soil loss is at least twice higher than the average level of tolerance. The LS factor has more influence in the PNE, especially when the relief was wavy, followed by the K factor, when the relief was flat. Use the database scale 1: 10,000 affected area of the watershed caused increases in slope and rise of strong corrugated relief classes, mountainous and rugged, yet showed higher coefficients of variation for all the factors of USLE. The results show greater difference between the wavy relief classes in both applied scales. In most maps produced by means of databases on different scales there is distinction of the results, especially for the slope maps, PNE and Ea generated for the watershed of the Samambaia. The analysis of soil losses in the areas of central pivot showed higher average and median values when using the scale 1: 250,000. It is important that managers and farmers are aware of the risks and provide mitigation measures. An interesting solution is to expand the use of lower impact to soil management systems, to promote its wider coverage, such as forestry, especially in the areas susceptible to erosion.O monitoramento das perdas de solo por erosão é fonte de informação relevante para a gestão do território, previsão de impactos e recomendações conservacionistas. Nesse sentido, o objetivo deste estudo foi aplicar metodologia de simulação computacional da erosão hídrica do solo utilizando a Equação Universal de Perda de Solo (USLE) e fontes de informação disponíveis para caracterizar, quantificar e analisar as perdas de solo na bacia hidrográfica do Rio Samambaia (BHRS). Essa bacia hidrográfica foi escolhida como unidade de estudo, em razão da disponibilidade de dados espaciais em escalas distintas (1:250.000 e 1:10.000). Um Sistema de Informação Geográfica (SIG) foi utilizado na manipulação, classificação e atualização dos dados de interesse, bem como para construir o Modelo Digital de Elevação (MDE) e a base de dados espaciais dos fatores da USLE nas duas escalas distintas. Para analisar quantitativamente os resultados calculou-se o Potencial Natural à Erosão (PNE) e a Erosão atual (Ea) que considera a influência da Cobertura, Uso e Ocupação do Solo (UCS), também usado para estudos qualitativos das perdas de solo. A área de estudo foi dividida em três sub-bacias hidrográficas. O mapeamento do UCS demonstrou que as áreas agrícolas representam aproximadamente 70% da cobertura do solo na sub-bacia do Rio Samambaia e do Córrego Arrasta-burro. Os resultados obtidos indicaram que mais de 80% da área dessas duas sub-bacias possui um PNE fraco. Já a sub-bacia do Ribeirão Moreira apresentou o maior percentual das classes vegetação natural e silvicultura, bem como o menor percentual da classe solo exposto, em relação às outras sub-bacias. Contudo, obteve o maior valor médio de erosão atual (71,10 Mg ha-1 ano-1), o que se deve provavelmente em razão do PNE que variou de moderado a muito forte em mais de 40% da área. A maioria dos solos da bacia apresenta média erodibilidade. Para os Cambissolos e Petroplintossolos (Plintossolos Pétricos) da BHRS, a perda média de solo está no mínimo duas vezes acima do limite médio de tolerância. O fator LS tem maior influência no PNE, principalmente quando o relevo foi ondulado, seguido pelo fator K, quando o relevo foi plano. O uso da base de dados na escala 1:10.000 afetou a área da microbacia, provocou aumento de declividade e surgimento das classes de relevo forte ondulado, montanhoso e escarpado, ainda apresentou maiores coeficientes de variação para todos os fatores da USLE. Os resultados comprovam maior diferença entre as classes de relevo ondulado nas duas escalas aplicadas. Na maioria dos mapas produzidos por meio das bases de dados em diferentes escalas existe distinção dos resultados, principalmente para os mapas de declividade, PNE e Ea gerados para a microbacia do Rio Samambaia. A análise das perdas de solo nas áreas de pivô central demonstrou aumento dos valores de média e mediana ao se utilizar a escala 1:250.000. É importante que os gestores e produtores rurais tomem consciência sobre os riscos e estabeleçam medidas mitigadoras. Uma solução interessante é ampliar a utilização de sistemas de manejo menos impactantes ao solo, que promovam sua maior cobertura, tais como a silvicultura, especialmente nas áreas mais suscetíveis à erosão.Submitted by Cláudia Bueno (claudiamoura18@gmail.com) on 2016-06-02T17:44:33Z No. of bitstreams: 2 Dissertação - Thiago Henrique Arbués Botelho - 2015.pdf: 8613837 bytes, checksum: 09a30216ecc0fd5f4e488e8223e6a47c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2016-06-03T12:39:43Z (GMT) No. of bitstreams: 2 Dissertação - Thiago Henrique Arbués Botelho - 2015.pdf: 8613837 bytes, checksum: 09a30216ecc0fd5f4e488e8223e6a47c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2016-06-03T12:39:43Z (GMT). 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dc.title.por.fl_str_mv Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
dc.title.alternative.eng.fl_str_mv Availability and applicability of spatial data in the characterization and quantification of soil erosion in the Samambaia River watershed, Goiás
title Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
spellingShingle Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
Botelho, Thiago Henrique Arbués
Modelagem espacial
Fator topográfico
Conservação do solo
USLE
Spatial modeling
Topographic factor
Soil conservation
USLE
CIENCIAS AGRARIAS::AGRONOMIA
title_short Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
title_full Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
title_fullStr Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
title_full_unstemmed Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
title_sort Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás
author Botelho, Thiago Henrique Arbués
author_facet Botelho, Thiago Henrique Arbués
author_role author
dc.contributor.advisor1.fl_str_mv Griebeler, Nori Paulo
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/2953067359172793
dc.contributor.referee1.fl_str_mv Griebeler, Nori Paulo
dc.contributor.referee2.fl_str_mv Momoli, Renata Santos
dc.contributor.referee3.fl_str_mv Gonçalves, Sara Lane Sousa
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/5629829866423266
dc.contributor.author.fl_str_mv Botelho, Thiago Henrique Arbués
contributor_str_mv Griebeler, Nori Paulo
Griebeler, Nori Paulo
Momoli, Renata Santos
Gonçalves, Sara Lane Sousa
dc.subject.por.fl_str_mv Modelagem espacial
Fator topográfico
Conservação do solo
USLE
topic Modelagem espacial
Fator topográfico
Conservação do solo
USLE
Spatial modeling
Topographic factor
Soil conservation
USLE
CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Spatial modeling
Topographic factor
Soil conservation
USLE
dc.subject.cnpq.fl_str_mv CIENCIAS AGRARIAS::AGRONOMIA
description The monitoring of soil loss by erosion is a source of information relevant to land management, forecasting impacts and conservation recommendations. In this sense, the objective of this study was to apply computer simulation methodology of soil erosion using the Universal Soil Loss Equation (USLE) and sources of information available to characterize, quantify and analyze soil losses in the Samambaia River watershed (BHRS). This basin was chosen as the study unit, due to the availability of spatial data in different scales (1: 250,000 and 1: 10,000). A Geographic Information System (GIS) was used in handling, sorting and updating of data of interest as well as to build the Digital Elevation Model (DEM) and the spatial database of USLE factors in two different scales. To quantitatively analyze the results calculated the Natural Potential Erosion (PNE) and the current erosion (Ea) that considers the influence of coverage, Land Use and Occupancy (UCS), also used for qualitative studies of soil losses. The study area was divided into three sub-basins. The mapping of the UCS showed that agricultural areas represent about 70% of land cover in the sub-basin of Samambaia River and Arrasta-burro Stream. The results indicated that more than 80% of the area of these two sub-basins has a weak PNE. Have the sub-basin of Moreira Stream had the highest percentage of natural vegetation and forestry classes, as well as the lowest percentage of bare soil class, in relation to other sub-basins. However, had the highest average value of current erosion (71.10 Mg ha-1 yr-1), which is probably due to the PNE ranging from moderate to very strong in more than 40% of the area. Most of the basin soil has medium erodibility. For Cambisols and Petric Plinthosols of BHRS, the average soil loss is at least twice higher than the average level of tolerance. The LS factor has more influence in the PNE, especially when the relief was wavy, followed by the K factor, when the relief was flat. Use the database scale 1: 10,000 affected area of the watershed caused increases in slope and rise of strong corrugated relief classes, mountainous and rugged, yet showed higher coefficients of variation for all the factors of USLE. The results show greater difference between the wavy relief classes in both applied scales. In most maps produced by means of databases on different scales there is distinction of the results, especially for the slope maps, PNE and Ea generated for the watershed of the Samambaia. The analysis of soil losses in the areas of central pivot showed higher average and median values when using the scale 1: 250,000. It is important that managers and farmers are aware of the risks and provide mitigation measures. An interesting solution is to expand the use of lower impact to soil management systems, to promote its wider coverage, such as forestry, especially in the areas susceptible to erosion.
publishDate 2015
dc.date.issued.fl_str_mv 2015-02-26
dc.date.accessioned.fl_str_mv 2016-06-03T12:39:43Z
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.citation.fl_str_mv BOTELHO, T. H. A. Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás. 2015. 129 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015.
dc.identifier.uri.fl_str_mv http://repositorio.bc.ufg.br/tede/handle/tede/5648
identifier_str_mv BOTELHO, T. H. A. Disponibilidade e aplicabilidade de dados espaciais na caracterização e quantificação de perdas de solo por erosão na bacia hidrográfica do Rio Samambaia, Goiás. 2015. 129 f. Dissertação (Mestrado em Agronomia) - Universidade Federal de Goiás, Goiânia, 2015.
url http://repositorio.bc.ufg.br/tede/handle/tede/5648
dc.language.iso.fl_str_mv por
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