Climate change and rural workers thermal comfort: historical and future impacts
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/33000 |
Resumo: | The aim of the present research was to propose a bioclimatic mapping to classify the thermal comfort and discomfort of rural workers within the state of Minas Gerais, considering historical and future scenarios. Monthly historical series (1976-2014) of minimum, mean and maximum temperature-humidity index (THI), determined through the values of air temperature (minimum, mean and maximum) and relative humidity from 48 weather stations located in the state of Minas Gerais were used to analyze the trends through Mann-Kendall and linear regression assays. The bioclimatic mapping of human comfort, obtained via geostatistical analysis, was developed as a function of the minimum, medium and maximum THI for the historical period (1976-2014) and future scenario (2024). Results indicate an overall trend of increasing in thermal discomfort conditions throughout the mesoregions of the state of Minas Gerais during the weather seasons, being more incisive in summer and spring. |
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Climate change and rural workers thermal comfort: historical and future impactsHuman biometeorologyHuman thermal comfortTemperature-humidity index (THI)Time seriesThe aim of the present research was to propose a bioclimatic mapping to classify the thermal comfort and discomfort of rural workers within the state of Minas Gerais, considering historical and future scenarios. Monthly historical series (1976-2014) of minimum, mean and maximum temperature-humidity index (THI), determined through the values of air temperature (minimum, mean and maximum) and relative humidity from 48 weather stations located in the state of Minas Gerais were used to analyze the trends through Mann-Kendall and linear regression assays. The bioclimatic mapping of human comfort, obtained via geostatistical analysis, was developed as a function of the minimum, medium and maximum THI for the historical period (1976-2014) and future scenario (2024). Results indicate an overall trend of increasing in thermal discomfort conditions throughout the mesoregions of the state of Minas Gerais during the weather seasons, being more incisive in summer and spring.Associação Brasileira de Engenharia Agrícola2019-02-25T11:56:07Z2019-02-25T11:56:07Z2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfAMARO, A. L. N. et al. Climate change and rural workers thermal comfort: historical and future impacts. Engenharia Agrícola, Jaboticabal, v. 38, n. 2, Mar./Apr. 2018.http://repositorio.ufla.br/jspui/handle/1/33000Engenharia Agrícolareponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessAmaro, André L. N.Yanagi Junior, TadayukiYanagi, Sílvia de N. M.Ferraz, Gabriel A. E S.Campos, Alessandro T.eng2019-02-25T11:56:30Zoai:localhost:1/33000Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2019-02-25T11:56:30Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Climate change and rural workers thermal comfort: historical and future impacts |
title |
Climate change and rural workers thermal comfort: historical and future impacts |
spellingShingle |
Climate change and rural workers thermal comfort: historical and future impacts Amaro, André L. N. Human biometeorology Human thermal comfort Temperature-humidity index (THI) Time series |
title_short |
Climate change and rural workers thermal comfort: historical and future impacts |
title_full |
Climate change and rural workers thermal comfort: historical and future impacts |
title_fullStr |
Climate change and rural workers thermal comfort: historical and future impacts |
title_full_unstemmed |
Climate change and rural workers thermal comfort: historical and future impacts |
title_sort |
Climate change and rural workers thermal comfort: historical and future impacts |
author |
Amaro, André L. N. |
author_facet |
Amaro, André L. N. Yanagi Junior, Tadayuki Yanagi, Sílvia de N. M. Ferraz, Gabriel A. E S. Campos, Alessandro T. |
author_role |
author |
author2 |
Yanagi Junior, Tadayuki Yanagi, Sílvia de N. M. Ferraz, Gabriel A. E S. Campos, Alessandro T. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Amaro, André L. N. Yanagi Junior, Tadayuki Yanagi, Sílvia de N. M. Ferraz, Gabriel A. E S. Campos, Alessandro T. |
dc.subject.por.fl_str_mv |
Human biometeorology Human thermal comfort Temperature-humidity index (THI) Time series |
topic |
Human biometeorology Human thermal comfort Temperature-humidity index (THI) Time series |
description |
The aim of the present research was to propose a bioclimatic mapping to classify the thermal comfort and discomfort of rural workers within the state of Minas Gerais, considering historical and future scenarios. Monthly historical series (1976-2014) of minimum, mean and maximum temperature-humidity index (THI), determined through the values of air temperature (minimum, mean and maximum) and relative humidity from 48 weather stations located in the state of Minas Gerais were used to analyze the trends through Mann-Kendall and linear regression assays. The bioclimatic mapping of human comfort, obtained via geostatistical analysis, was developed as a function of the minimum, medium and maximum THI for the historical period (1976-2014) and future scenario (2024). Results indicate an overall trend of increasing in thermal discomfort conditions throughout the mesoregions of the state of Minas Gerais during the weather seasons, being more incisive in summer and spring. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2019-02-25T11:56:07Z 2019-02-25T11:56:07Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
AMARO, A. L. N. et al. Climate change and rural workers thermal comfort: historical and future impacts. Engenharia Agrícola, Jaboticabal, v. 38, n. 2, Mar./Apr. 2018. http://repositorio.ufla.br/jspui/handle/1/33000 |
identifier_str_mv |
AMARO, A. L. N. et al. Climate change and rural workers thermal comfort: historical and future impacts. Engenharia Agrícola, Jaboticabal, v. 38, n. 2, Mar./Apr. 2018. |
url |
http://repositorio.ufla.br/jspui/handle/1/33000 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
publisher.none.fl_str_mv |
Associação Brasileira de Engenharia Agrícola |
dc.source.none.fl_str_mv |
Engenharia Agrícola reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1815439345807523840 |