Models to estimate incident solar radiation on Seropédica, Rio de Janeiro
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/29877 |
Resumo: | Incident solar radiation (Rs) is usually used as an input variable in growth simulation models and yield of agricultural crops, in the design of alternative energy systems, buildings desing, weather, irrigation projects and food preservation, among others. However, in Brazil, there are few studies that evaluated the performance of different models in estimating Rs. Therefore, the aim of the study is to evaluate the Hargreaves-Samani, Thornton-Running and Weiss models to estimate Rs in the municipality of Seropédica, Rio de Janeiro. We used hourly measurements of solar radiation (Rs, KJ m-2) and maximum (tx,°C) and minimum (tn,°C) air temperature obtained from Ecologia Agrícola station (EA), between January/2008 to December/2013. Normality (Shapiro-Wilks and Jarque-Bera) and homogeneity of variance (Bartlett) tests were applied to the data set. The performance of the models was evaluated based on different statistical parameters (r2 RMSE, d, Ïs and Student's t-test). The results indicated the rejection of the variance normality hypothesis of the standardized residuals by Shapiro-Wilks and Jarque-Bera tests. Bartlett's test indicated the presence of heterogeneity of model estimates. Hargreaves-Samani and Thornton-Running models obtained high values forr2 and low values for d. Hargreaves-Samani (coastal) model excelled in relation to other, being more suitable for estimating the Rs in the municipality of Seropédica, Rio de Janeiro. |
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Models to estimate incident solar radiation on Seropédica, Rio de Janeiro empirical modelsextreme air temperaturebaixada fluminense.Biological SciencesIncident solar radiation (Rs) is usually used as an input variable in growth simulation models and yield of agricultural crops, in the design of alternative energy systems, buildings desing, weather, irrigation projects and food preservation, among others. However, in Brazil, there are few studies that evaluated the performance of different models in estimating Rs. Therefore, the aim of the study is to evaluate the Hargreaves-Samani, Thornton-Running and Weiss models to estimate Rs in the municipality of Seropédica, Rio de Janeiro. We used hourly measurements of solar radiation (Rs, KJ m-2) and maximum (tx,°C) and minimum (tn,°C) air temperature obtained from Ecologia Agrícola station (EA), between January/2008 to December/2013. Normality (Shapiro-Wilks and Jarque-Bera) and homogeneity of variance (Bartlett) tests were applied to the data set. The performance of the models was evaluated based on different statistical parameters (r2 RMSE, d, Ïs and Student's t-test). The results indicated the rejection of the variance normality hypothesis of the standardized residuals by Shapiro-Wilks and Jarque-Bera tests. Bartlett's test indicated the presence of heterogeneity of model estimates. Hargreaves-Samani and Thornton-Running models obtained high values forr2 and low values for d. Hargreaves-Samani (coastal) model excelled in relation to other, being more suitable for estimating the Rs in the municipality of Seropédica, Rio de Janeiro.EDUFU2016-04-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/2987710.14393/BJ-v32n2a2016-29877Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 505-513Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 505-5131981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/29877/18147Brazil; ContemporaryCopyright (c) 2016 Givanildo de Gois, Jessica Cristina Santos Souza, José Francisco de Oliveira-Júnior, Rafael Coll Delgado, Gustavo Bastos Lyra, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGois, Givanildo deSouza, Jessica Cristina SantosOliveira-Júnior, José Francisco deDelgado, Rafael CollLyra, Gustavo BastosTeodoro, Paulo Eduardo2022-05-19T00:57:24Zoai:ojs.www.seer.ufu.br:article/29877Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-05-19T00:57:24Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
title |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
spellingShingle |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro Gois, Givanildo de empirical models extreme air temperature baixada fluminense. Biological Sciences |
title_short |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
title_full |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
title_fullStr |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
title_full_unstemmed |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
title_sort |
Models to estimate incident solar radiation on Seropédica, Rio de Janeiro |
author |
Gois, Givanildo de |
author_facet |
Gois, Givanildo de Souza, Jessica Cristina Santos Oliveira-Júnior, José Francisco de Delgado, Rafael Coll Lyra, Gustavo Bastos Teodoro, Paulo Eduardo |
author_role |
author |
author2 |
Souza, Jessica Cristina Santos Oliveira-Júnior, José Francisco de Delgado, Rafael Coll Lyra, Gustavo Bastos Teodoro, Paulo Eduardo |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Gois, Givanildo de Souza, Jessica Cristina Santos Oliveira-Júnior, José Francisco de Delgado, Rafael Coll Lyra, Gustavo Bastos Teodoro, Paulo Eduardo |
dc.subject.por.fl_str_mv |
empirical models extreme air temperature baixada fluminense. Biological Sciences |
topic |
empirical models extreme air temperature baixada fluminense. Biological Sciences |
description |
Incident solar radiation (Rs) is usually used as an input variable in growth simulation models and yield of agricultural crops, in the design of alternative energy systems, buildings desing, weather, irrigation projects and food preservation, among others. However, in Brazil, there are few studies that evaluated the performance of different models in estimating Rs. Therefore, the aim of the study is to evaluate the Hargreaves-Samani, Thornton-Running and Weiss models to estimate Rs in the municipality of Seropédica, Rio de Janeiro. We used hourly measurements of solar radiation (Rs, KJ m-2) and maximum (tx,°C) and minimum (tn,°C) air temperature obtained from Ecologia Agrícola station (EA), between January/2008 to December/2013. Normality (Shapiro-Wilks and Jarque-Bera) and homogeneity of variance (Bartlett) tests were applied to the data set. The performance of the models was evaluated based on different statistical parameters (r2 RMSE, d, Ïs and Student's t-test). The results indicated the rejection of the variance normality hypothesis of the standardized residuals by Shapiro-Wilks and Jarque-Bera tests. Bartlett's test indicated the presence of heterogeneity of model estimates. Hargreaves-Samani and Thornton-Running models obtained high values forr2 and low values for d. Hargreaves-Samani (coastal) model excelled in relation to other, being more suitable for estimating the Rs in the municipality of Seropédica, Rio de Janeiro. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-04-04 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29877 10.14393/BJ-v32n2a2016-29877 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29877 |
identifier_str_mv |
10.14393/BJ-v32n2a2016-29877 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/29877/18147 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 32 No. 2 (2016): Mar./Apr.; 505-513 Bioscience Journal ; v. 32 n. 2 (2016): Mar./Apr.; 505-513 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
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1797069075837353984 |