Detalhes bibliográficos
Ano de defesa: |
2010 |
Autor(a) principal: |
Arraes, Francisco Dirceu Duarte |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Não Informado pela instituição
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
|
Link de acesso: |
http://www.repositorio.ufc.br/handle/riufc/18599
|
Resumo: |
The main goal of this work was to study the dynamics of the energy balance parameters. The studied area was located around and in the Orós reservoir for 16 years. It was used the SEBAL algorithm, to provide an analysis of the relationship between the sensible and the latent heat and the heat flow in soil and the changes in land use. To reach this approach a classification to the use and occupation of land was developed. It was used the real data and the representation of space-time processes through a set of images TM - Landsat 5. These images were obtained from the Instituto Nacional de Pesquisas Especiais (INPE), which were processed and stacked by the software ERDAS IMAGINE 9.0. Then the SEBAL algorithm (Surface Energy Balance Algorithm for Land) was applied to quantify the latent heat flux from the residue of the radiation balance of the area. It was qualified the net radiation (Rn), the heat flow in soil (G) and sensible heat flux (H). Results showed that the supervised classification method developed by maximum likelihood identified a predominance of sparse vegetation, occupying approximately 908.6 km2, accounting for 45.44% of the total area. This class is composed for herbaceous shrub (low to medium-sized) open to dense, and this class has the highest vulnerability to anthropogenic activities. 9.78% of the studied area showed negative NDVI for the year 2008, this percentage also, was confirmed by the classification. This fact represents the potential of NDVI to identify the water bodies. The temporal variability of the components of energy balance didn’t present tendency of increase or decrease and it was strongly influenced by the rainfall distribution. The components of energy balance didn’t allow the identification of changes in the land use around the Orós reservoir. |