Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco
Autor(a) principal: | |
---|---|
Data de Publicação: | 2012 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRPE |
Texto Completo: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5655 |
Resumo: | The management of natural resources such as fresh water has become one of the greatest challenges of the modern society. The smart and sustainable management of water resources requires the understanding of processes of dissipation, within a specific region, in different land surfaces. The SEBAL (Surface Energy Balance Algorithm for Land) has become a very useful tool to estimate the surface net radiation (Rn) in terms of regional and/or to areas where there is shortage of weather information. In this work were obtained data for net radiation with this algorithm and compared them with net radiation estimated from Global Solar Radiation (Rg), measures the surface. The global irradiance was obtained from Data Collection Platforms (DCP) automatic in the semiarid of Pernambuco, imaged on a clear day, in dry and rainy periods during the years 2007 and 2008. The Rn instantaneous computed by SEBAL, ranged from 473.3 to 708.8 Wm-2, at pixels where the stations are located. The deviations found between Rn instantaneous computed by SEBAL and estimated from the data of Rg from DCP decreasing, on average, from 8.7% to 3.3%, with more regional calibration of the internal parameters of the SEBAL. The correlation between the net radiation counted, with the SEBAL, regionalized to the low-middle São Francisco River basin and those estimated from measurements of Rg of PCD, got a R2= 0.84 with a root mean square deviation - RDQM = 26.8 Wm-2. After cropping a period of rainfall for the year in the cities Floresta, Arcoverde, Ibimirim, Serra Talhada and Caruaru, the correlation coefficient was 0.98 with a RDQM = 14.3 Wm-2 for the rainy season and 0.42 with a RDQM = 35.2 Wm-2 for the dry period. From the results, we propose perform calibration of the SEBAL input parameters for the State of Pernambuco, seeking them to determine the seasonality of solar radiation and intra-annual distribution of monthly rainfall throughout the state. |
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MOURA, Geber Barbosa de AlbuquerqueSILVA, Bernardo Barbosa daLOPES, Pabrício Marcos OliveiraSILVA, Ênio Farias de França ehttp://lattes.cnpq.br/9258520754781799PEREIRA NETO, Moacir de Lima2016-10-11T11:10:23Z2012-04-30PEREIRA NETO, Moacir de Lima. Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco. 2012. 58 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5655The management of natural resources such as fresh water has become one of the greatest challenges of the modern society. The smart and sustainable management of water resources requires the understanding of processes of dissipation, within a specific region, in different land surfaces. The SEBAL (Surface Energy Balance Algorithm for Land) has become a very useful tool to estimate the surface net radiation (Rn) in terms of regional and/or to areas where there is shortage of weather information. In this work were obtained data for net radiation with this algorithm and compared them with net radiation estimated from Global Solar Radiation (Rg), measures the surface. The global irradiance was obtained from Data Collection Platforms (DCP) automatic in the semiarid of Pernambuco, imaged on a clear day, in dry and rainy periods during the years 2007 and 2008. The Rn instantaneous computed by SEBAL, ranged from 473.3 to 708.8 Wm-2, at pixels where the stations are located. The deviations found between Rn instantaneous computed by SEBAL and estimated from the data of Rg from DCP decreasing, on average, from 8.7% to 3.3%, with more regional calibration of the internal parameters of the SEBAL. The correlation between the net radiation counted, with the SEBAL, regionalized to the low-middle São Francisco River basin and those estimated from measurements of Rg of PCD, got a R2= 0.84 with a root mean square deviation - RDQM = 26.8 Wm-2. After cropping a period of rainfall for the year in the cities Floresta, Arcoverde, Ibimirim, Serra Talhada and Caruaru, the correlation coefficient was 0.98 with a RDQM = 14.3 Wm-2 for the rainy season and 0.42 with a RDQM = 35.2 Wm-2 for the dry period. From the results, we propose perform calibration of the SEBAL input parameters for the State of Pernambuco, seeking them to determine the seasonality of solar radiation and intra-annual distribution of monthly rainfall throughout the state.O manejo dos recursos naturais, como a água doce, tem se tornado um dos maiores desafios da sociedade moderna. A gestão inteligente e sustentável de recursos hídricos exige o entendimento dos processos de dissipação, dentro de uma região, nas diferentes superfícies terrestres. O SEBAL (Surface Energy Balance Algorithm for Land) tem se tornado uma ferramenta muito útil na estimativa do Saldo de Radiação à Superfície (Rn) em termos regionais e/ou para áreas onde existe escassez de informações meteorológicas. Neste trabalho foram obtidos dados de radiação líquida através de rotinas do modelo SEBAL e realizadas comparações destas com saldo de radiação estimado a partir de dados de Radiação Solar Global (Rg), medidas à superfície. A irradiância global foi obtida de Plataformas de Coleta de Dados automáticas – PCD’s, no Sertão e Agreste de Pernambuco, imageadas em dias de céu claro, em períodos secos e chuvosos, durante os anos de 2007 e 2008. O Rn instantâneo, computados através do SEBAL, variaram de 473,3 a 708,5 Wm-2, nos pixels onde as estações localizavam-se. Os desvios encontrados entre os Rn instantâneos, computados através do SEBAL, e os estimados, a partir das medições de Rg das PCD’s, diminuíram em média, de 8,7% para 3,3%, com a calibração mais localizada dos parâmetros internos do SEBAL. A correlação entre os saldos de radiação computados com o SEBAL regionalizado para o Vale do Submédio São Francisco e os estimados a partir das medições de Rg das PCD’s, obteve coeficiente de correlação (R2) igual a 0,84, com raiz do desvio quadrado médio (RDQM) igual a 26,8 Wm-2. Após o recorte por período pluviométrico anual para as cidades de Floresta, Arcoverde, Ibimirim, Serra Talhada e Caruaru, o resultado do coeficiente de correlação foi de 0,98, com o RDQM = 14,3 Wm-2, para o período chuvoso, e de 0,42, com o RDQM = 35,2 Wm-2, para o período seco. Diante dos resultados, indica-se a realização de calibração dos parâmetros de entrada do SEBAL, para o estado de Pernambuco, procurando determiná-los para a sazonalidade da radiação solar e distribuição intra-anual das precipitações pluviais mensais ao longo do Estado.Submitted by (lucia.rodrigues@ufrpe.br) on 2016-10-11T11:10:23Z No. of bitstreams: 1 Moacir de Lima Pereira Neto.pdf: 1642004 bytes, checksum: 9f11ac4b81fd9ebde5fb644b75e89d25 (MD5)Made available in DSpace on 2016-10-11T11:10:23Z (GMT). No. of bitstreams: 1 Moacir de Lima Pereira Neto.pdf: 1642004 bytes, checksum: 9f11ac4b81fd9ebde5fb644b75e89d25 (MD5) Previous issue date: 2012-04-30Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESConselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPqapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Engenharia AgrícolaUFRPEBrasilDepartamento de Engenharia AgrícolaSensoriamento remotoBalanço de radiaçãoRemote sensingRadiation balanceSemiaridCIENCIAS AGRARIAS::ENGENHARIA AGRICOLAAvaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambucoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-5347692450416052129600600600600600-286211619635507967491854457215887615552075167498588264571-2555911436985713659info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPELICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/5655/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51ORIGINALMoacir de Lima Pereira Neto.pdfMoacir de Lima Pereira Neto.pdfapplication/pdf1642004http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/5655/2/Moacir+de+Lima+Pereira+Neto.pdf9f11ac4b81fd9ebde5fb644b75e89d25MD52tede2/56552016-10-11 08:10:23.068oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:33:21.001403Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
title |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
spellingShingle |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco PEREIRA NETO, Moacir de Lima Sensoriamento remoto Balanço de radiação Remote sensing Radiation balance Semiarid CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
title_short |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
title_full |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
title_fullStr |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
title_full_unstemmed |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
title_sort |
Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco |
author |
PEREIRA NETO, Moacir de Lima |
author_facet |
PEREIRA NETO, Moacir de Lima |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
MOURA, Geber Barbosa de Albuquerque |
dc.contributor.referee1.fl_str_mv |
SILVA, Bernardo Barbosa da |
dc.contributor.referee2.fl_str_mv |
LOPES, Pabrício Marcos Oliveira |
dc.contributor.referee3.fl_str_mv |
SILVA, Ênio Farias de França e |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/9258520754781799 |
dc.contributor.author.fl_str_mv |
PEREIRA NETO, Moacir de Lima |
contributor_str_mv |
MOURA, Geber Barbosa de Albuquerque SILVA, Bernardo Barbosa da LOPES, Pabrício Marcos Oliveira SILVA, Ênio Farias de França e |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Balanço de radiação Remote sensing Radiation balance Semiarid |
topic |
Sensoriamento remoto Balanço de radiação Remote sensing Radiation balance Semiarid CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
description |
The management of natural resources such as fresh water has become one of the greatest challenges of the modern society. The smart and sustainable management of water resources requires the understanding of processes of dissipation, within a specific region, in different land surfaces. The SEBAL (Surface Energy Balance Algorithm for Land) has become a very useful tool to estimate the surface net radiation (Rn) in terms of regional and/or to areas where there is shortage of weather information. In this work were obtained data for net radiation with this algorithm and compared them with net radiation estimated from Global Solar Radiation (Rg), measures the surface. The global irradiance was obtained from Data Collection Platforms (DCP) automatic in the semiarid of Pernambuco, imaged on a clear day, in dry and rainy periods during the years 2007 and 2008. The Rn instantaneous computed by SEBAL, ranged from 473.3 to 708.8 Wm-2, at pixels where the stations are located. The deviations found between Rn instantaneous computed by SEBAL and estimated from the data of Rg from DCP decreasing, on average, from 8.7% to 3.3%, with more regional calibration of the internal parameters of the SEBAL. The correlation between the net radiation counted, with the SEBAL, regionalized to the low-middle São Francisco River basin and those estimated from measurements of Rg of PCD, got a R2= 0.84 with a root mean square deviation - RDQM = 26.8 Wm-2. After cropping a period of rainfall for the year in the cities Floresta, Arcoverde, Ibimirim, Serra Talhada and Caruaru, the correlation coefficient was 0.98 with a RDQM = 14.3 Wm-2 for the rainy season and 0.42 with a RDQM = 35.2 Wm-2 for the dry period. From the results, we propose perform calibration of the SEBAL input parameters for the State of Pernambuco, seeking them to determine the seasonality of solar radiation and intra-annual distribution of monthly rainfall throughout the state. |
publishDate |
2012 |
dc.date.issued.fl_str_mv |
2012-04-30 |
dc.date.accessioned.fl_str_mv |
2016-10-11T11:10:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
PEREIRA NETO, Moacir de Lima. Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco. 2012. 58 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5655 |
identifier_str_mv |
PEREIRA NETO, Moacir de Lima. Avaliação do saldo energético à superfície estimado por sensoriamento remoto em Pernambuco. 2012. 58 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
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Universidade Federal Rural de Pernambuco |
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