Detalhes bibliográficos
Ano de defesa: |
2018 |
Autor(a) principal: |
FERREIRA, Gleide de Lima
 |
Orientador(a): |
SILVA, Bernardo Barbosa da |
Banca de defesa: |
LOPES, Pabrício Marcos Oliveira,
CORRÊA, Marcus Metri |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal Rural de Pernambuco
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Programa de Pós-Graduação: |
Programa de Pós-Graduação em Engenharia Ambiental
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Departamento: |
Departamento de Tecnologia Rural
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País: |
Brasil
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Palavras-chave em Português: |
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Área do conhecimento CNPq: |
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Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/8317
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Resumo: |
The radiation balance is very important in many applications of agro-meteorology and particular in various models of crop Evapotranspiration determination. Moreover, it has an outstanding influence on heat and mass exchange taking place in the planetary boundary layer. In this sense, this research has as main objective the determination of the different components of the radiation balance in pasture area in the locality of Paudalho - PE through OLI / TRIS - Landsat 8 images and through an experimental campaign installed in the mentioned city. All the images generated by OLI and TRIS sensors, covering the entire experimental period, were collected, which resulted in the selection of only four images. This experiment was installed in a pasture area of Paudalho - PE and was conducted from December 2016 to March 2018. The daily cycles of air temperature and relative humidity of each of the months surveyed were obtained, as well as the average daily cycles of the components of the radiation balance for each month of the year. The daily values of the atmospheric long wave radiation were confronted with models to estimate the Rol,atm for conditions of clear sky and cloudy sky. All the models for clear sky showed little concordance with the measurements made in the experimental campaign. From the four atmospheric long wave models, only the Aubinet (3) model showed good agreement with the measurements of Role, atm, confirmed by the coefficient of determination, by the Pearson´s correlation and also by the metrics EAM, ERM and REQM. |