Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
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/39485 |
Resumo: | The objective of this study was to perform a temporal and spatial analysis of the changes in the past global solar radiation based on climate models and remote sensing data in the State of Rio de Janeiro, Brazil for the baseline period (1961-1990). Data from two climate models - the Canadian Centre for Climate Modelling and Analysis and Geophysical Fluid Dynamic Laboratory, were used for the A1B intermediate scenario, data from Conventional Weather Stations and orbital sensor Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). The results of the Spatial Dependence Degree indicate that the best model to represent the global solar radiation is CCCMA-Exponential dry 70.01 and rainy 0.21 respectively. It was possible to verify that in places where the areas are occupied by forests there was reduction of global solar radiation for both dry and rainy periods of approximately 13 MJ m-2d-1. These results indicate that these forest areas can function as islands of freshness, while maintaining the thermal comfort balanced. It was concluded that the dry period had the highest values of solar radiation compared to the rainy (57%), which can be justified by the occurrence of fires in Rio de Janeiro. |
id |
UFU-14_20110c9deaad905bce4b2ab25c452ece |
---|---|
oai_identifier_str |
oai:ojs.www.seer.ufu.br:article/39485 |
network_acronym_str |
UFU-14 |
network_name_str |
Bioscience journal (Online) |
repository_id_str |
|
spelling |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil Mudanças ocorridas da radiação solar global passada baseado em modelos climáticos e sensoriamento remoto no estado do Rio de Janeiro, Brazil geotechnologieslandscape changenumerical modelsurban climateBiological SciencesThe objective of this study was to perform a temporal and spatial analysis of the changes in the past global solar radiation based on climate models and remote sensing data in the State of Rio de Janeiro, Brazil for the baseline period (1961-1990). Data from two climate models - the Canadian Centre for Climate Modelling and Analysis and Geophysical Fluid Dynamic Laboratory, were used for the A1B intermediate scenario, data from Conventional Weather Stations and orbital sensor Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). The results of the Spatial Dependence Degree indicate that the best model to represent the global solar radiation is CCCMA-Exponential dry 70.01 and rainy 0.21 respectively. It was possible to verify that in places where the areas are occupied by forests there was reduction of global solar radiation for both dry and rainy periods of approximately 13 MJ m-2d-1. These results indicate that these forest areas can function as islands of freshness, while maintaining the thermal comfort balanced. It was concluded that the dry period had the highest values of solar radiation compared to the rainy (57%), which can be justified by the occurrence of fires in Rio de Janeiro.O objetivo deste estudo foi realizar uma análise temporal e espacial das mudanças ocorridas da radiação solar global passada baseado em modelo climáticos e sensoriamento remoto no Estado do Rio de Janeiro, Brasil para o período baseline (1961-1990). Utilizaram-se dados de dois modelos climáticos o Canadian Centre for Climate Modelling and Analysis) e Geophysical Fluid Dynamic Laboratory para o cenário intermediário A1B, dados de Estações Meteorológicas Convencionais e do sensor orbital Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). Os resultados do Grau de Dependência Espacial indicam que o melhor modelo que representa a radiação solar global é o CCCMA-Exponencial seco 70.01 e chuvoso de 0.21 respectivamente. Foi possível verificar que em locais onde as áreas são ocupadas por florestas houve redução da radiação solar global para os dois períodos seco e chuvoso de aproximadamente 13 MJ.m-2.dia-1. Estes resultados indicam que estas áreas de florestas podem funcionar como ilhas de frescor, mantendo o conforto térmico equilibrado. Conclui-se que o período seco apresentoumaiores valores de radiação solar em comparação ao chuvoso (57%), que pode ser justificado pela ocorrência de queimadas no Rio de Janeiro.EDUFU2018-10-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3948510.14393/BJ-v34n5a2018-39485Bioscience Journal ; Vol. 34 No. 5 (2018): Sept./Oct.; 1357-1364Bioscience Journal ; v. 34 n. 5 (2018): Sept./Oct.; 1357-13641981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/39485/24281Brazil; ContemporaryCopyright (c) 2018 Carolina Souza Leite de Jesus, Rafael Coll Delgado, Marcos Gervásio Pereira, Leonardo Paula de Souza, Carlos Antonio da Silva Junior, Larissa Pereira Ribeiro, Tays Silva Batista, Paulo Eduardo Teodorohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessde Jesus, Carolina Souza LeiteDelgado, Rafael CollPereira, Marcos GervásioSouza, Leonardo Paula deSilva Junior, Carlos Antonio daRibeiro, Larissa PereiraBatista, Tays SilvaTeodoro, Paulo Eduardo2022-02-10T16:37:26Zoai:ojs.www.seer.ufu.br:article/39485Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-02-10T16:37:26Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil Mudanças ocorridas da radiação solar global passada baseado em modelos climáticos e sensoriamento remoto no estado do Rio de Janeiro, Brazil |
title |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil |
spellingShingle |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil de Jesus, Carolina Souza Leite geotechnologies landscape change numerical models urban climate Biological Sciences |
title_short |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil |
title_full |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil |
title_fullStr |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil |
title_full_unstemmed |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil |
title_sort |
Changes in past global solar radiation based on climate models and remote sensing in the state of Rio de Janeiro, Brazil |
author |
de Jesus, Carolina Souza Leite |
author_facet |
de Jesus, Carolina Souza Leite Delgado, Rafael Coll Pereira, Marcos Gervásio Souza, Leonardo Paula de Silva Junior, Carlos Antonio da Ribeiro, Larissa Pereira Batista, Tays Silva Teodoro, Paulo Eduardo |
author_role |
author |
author2 |
Delgado, Rafael Coll Pereira, Marcos Gervásio Souza, Leonardo Paula de Silva Junior, Carlos Antonio da Ribeiro, Larissa Pereira Batista, Tays Silva Teodoro, Paulo Eduardo |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
de Jesus, Carolina Souza Leite Delgado, Rafael Coll Pereira, Marcos Gervásio Souza, Leonardo Paula de Silva Junior, Carlos Antonio da Ribeiro, Larissa Pereira Batista, Tays Silva Teodoro, Paulo Eduardo |
dc.subject.por.fl_str_mv |
geotechnologies landscape change numerical models urban climate Biological Sciences |
topic |
geotechnologies landscape change numerical models urban climate Biological Sciences |
description |
The objective of this study was to perform a temporal and spatial analysis of the changes in the past global solar radiation based on climate models and remote sensing data in the State of Rio de Janeiro, Brazil for the baseline period (1961-1990). Data from two climate models - the Canadian Centre for Climate Modelling and Analysis and Geophysical Fluid Dynamic Laboratory, were used for the A1B intermediate scenario, data from Conventional Weather Stations and orbital sensor Moderate Resolution Imaging Spectroradiometer (MODIS) MODIS Land Cover Type (MCD12Q1). The results of the Spatial Dependence Degree indicate that the best model to represent the global solar radiation is CCCMA-Exponential dry 70.01 and rainy 0.21 respectively. It was possible to verify that in places where the areas are occupied by forests there was reduction of global solar radiation for both dry and rainy periods of approximately 13 MJ m-2d-1. These results indicate that these forest areas can function as islands of freshness, while maintaining the thermal comfort balanced. It was concluded that the dry period had the highest values of solar radiation compared to the rainy (57%), which can be justified by the occurrence of fires in Rio de Janeiro. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-11 |
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/39485 10.14393/BJ-v34n5a2018-39485 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/39485 |
identifier_str_mv |
10.14393/BJ-v34n5a2018-39485 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/39485/24281 |
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. 34 No. 5 (2018): Sept./Oct.; 1357-1364 Bioscience Journal ; v. 34 n. 5 (2018): Sept./Oct.; 1357-1364 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|| |
_version_ |
1797069078440968192 |