Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie

Autores
Ruiz, María Angélica; Correa Cantaloube, Erica Norma
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Thermal comfort of people in outdoor environments is one of the most influential factors in the habitability of spaces. The comfort level is determined not only by climate variables but also by the adaptation of people to the environment. This work presents a comparative study among five thermal comfort indices and its contrast with subjective answers in order to identify which of them can be better used to predict thermal comfort in forested outdoor spaces of the Mendoza Metropolitan Area, a city located in an arid zone whose configuration corresponds with the "oasis city" type. The microclimatic measurements and the subjective surveys were carried out during winter of 2010 and summer of 2011. Five indices used internationally were selected: the Temperature-Humidity Index (THI), the Vinje Index (PE), the thermal sensation index (TS), the Predicted Mean Values (PMV), and the COMFA model. The results show that all the mathematical models evaluated present percentages of predictive correctness lower than 25%. Despite this low indicator, the use of inductive methods is recommended to know if a certain space is under comfort or discomfort conditions, whereas deductive methods should be used to intervene on urban design strategies. In addition, it is necessary to develop local models to evaluate the thermal comfort perceived by the inhabitants of the studied city more adequately. These tools are very useful in the design and evaluation of the thermal behaviour of open spaces according not only to climate criteria but also to the subjective characteristics of users.
Fil: Ruiz, María Angélica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; Argentina
Fil: Correa Cantaloube, Erica Norma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; Argentina
Materia
Thermal Comfort Indices
Oasis City
Open Spaces
Predictive Correctness
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/23119

id CONICETDig_a6390ce033febae67f12441785e38864
oai_identifier_str oai:ri.conicet.gov.ar:11336/23119
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citieRuiz, María AngélicaCorrea Cantaloube, Erica NormaThermal Comfort IndicesOasis CityOpen SpacesPredictive Correctnesshttps://purl.org/becyt/ford/2.7https://purl.org/becyt/ford/2Thermal comfort of people in outdoor environments is one of the most influential factors in the habitability of spaces. The comfort level is determined not only by climate variables but also by the adaptation of people to the environment. This work presents a comparative study among five thermal comfort indices and its contrast with subjective answers in order to identify which of them can be better used to predict thermal comfort in forested outdoor spaces of the Mendoza Metropolitan Area, a city located in an arid zone whose configuration corresponds with the "oasis city" type. The microclimatic measurements and the subjective surveys were carried out during winter of 2010 and summer of 2011. Five indices used internationally were selected: the Temperature-Humidity Index (THI), the Vinje Index (PE), the thermal sensation index (TS), the Predicted Mean Values (PMV), and the COMFA model. The results show that all the mathematical models evaluated present percentages of predictive correctness lower than 25%. Despite this low indicator, the use of inductive methods is recommended to know if a certain space is under comfort or discomfort conditions, whereas deductive methods should be used to intervene on urban design strategies. In addition, it is necessary to develop local models to evaluate the thermal comfort perceived by the inhabitants of the studied city more adequately. These tools are very useful in the design and evaluation of the thermal behaviour of open spaces according not only to climate criteria but also to the subjective characteristics of users.Fil: Ruiz, María Angélica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaFil: Correa Cantaloube, Erica Norma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; ArgentinaSpringer Wien2014-09-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/23119Ruiz, María Angélica; Correa Cantaloube, Erica Norma; Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie; Springer Wien; Theory & Application Climatology; 122; 1-2; 21-9-2014; 69–830177-798X1434-4483CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/s00704-014-1279-8info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00704-014-1279-8info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:35:39Zoai:ri.conicet.gov.ar:11336/23119instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:35:40.155CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
title Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
spellingShingle Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
Ruiz, María Angélica
Thermal Comfort Indices
Oasis City
Open Spaces
Predictive Correctness
title_short Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
title_full Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
title_fullStr Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
title_full_unstemmed Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
title_sort Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie
dc.creator.none.fl_str_mv Ruiz, María Angélica
Correa Cantaloube, Erica Norma
author Ruiz, María Angélica
author_facet Ruiz, María Angélica
Correa Cantaloube, Erica Norma
author_role author
author2 Correa Cantaloube, Erica Norma
author2_role author
dc.subject.none.fl_str_mv Thermal Comfort Indices
Oasis City
Open Spaces
Predictive Correctness
topic Thermal Comfort Indices
Oasis City
Open Spaces
Predictive Correctness
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.7
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Thermal comfort of people in outdoor environments is one of the most influential factors in the habitability of spaces. The comfort level is determined not only by climate variables but also by the adaptation of people to the environment. This work presents a comparative study among five thermal comfort indices and its contrast with subjective answers in order to identify which of them can be better used to predict thermal comfort in forested outdoor spaces of the Mendoza Metropolitan Area, a city located in an arid zone whose configuration corresponds with the "oasis city" type. The microclimatic measurements and the subjective surveys were carried out during winter of 2010 and summer of 2011. Five indices used internationally were selected: the Temperature-Humidity Index (THI), the Vinje Index (PE), the thermal sensation index (TS), the Predicted Mean Values (PMV), and the COMFA model. The results show that all the mathematical models evaluated present percentages of predictive correctness lower than 25%. Despite this low indicator, the use of inductive methods is recommended to know if a certain space is under comfort or discomfort conditions, whereas deductive methods should be used to intervene on urban design strategies. In addition, it is necessary to develop local models to evaluate the thermal comfort perceived by the inhabitants of the studied city more adequately. These tools are very useful in the design and evaluation of the thermal behaviour of open spaces according not only to climate criteria but also to the subjective characteristics of users.
Fil: Ruiz, María Angélica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; Argentina
Fil: Correa Cantaloube, Erica Norma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto de Ciencias Humanas, Sociales y Ambientales; Argentina
description Thermal comfort of people in outdoor environments is one of the most influential factors in the habitability of spaces. The comfort level is determined not only by climate variables but also by the adaptation of people to the environment. This work presents a comparative study among five thermal comfort indices and its contrast with subjective answers in order to identify which of them can be better used to predict thermal comfort in forested outdoor spaces of the Mendoza Metropolitan Area, a city located in an arid zone whose configuration corresponds with the "oasis city" type. The microclimatic measurements and the subjective surveys were carried out during winter of 2010 and summer of 2011. Five indices used internationally were selected: the Temperature-Humidity Index (THI), the Vinje Index (PE), the thermal sensation index (TS), the Predicted Mean Values (PMV), and the COMFA model. The results show that all the mathematical models evaluated present percentages of predictive correctness lower than 25%. Despite this low indicator, the use of inductive methods is recommended to know if a certain space is under comfort or discomfort conditions, whereas deductive methods should be used to intervene on urban design strategies. In addition, it is necessary to develop local models to evaluate the thermal comfort perceived by the inhabitants of the studied city more adequately. These tools are very useful in the design and evaluation of the thermal behaviour of open spaces according not only to climate criteria but also to the subjective characteristics of users.
publishDate 2014
dc.date.none.fl_str_mv 2014-09-21
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/23119
Ruiz, María Angélica; Correa Cantaloube, Erica Norma; Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie; Springer Wien; Theory & Application Climatology; 122; 1-2; 21-9-2014; 69–83
0177-798X
1434-4483
CONICET Digital
CONICET
url http://hdl.handle.net/11336/23119
identifier_str_mv Ruiz, María Angélica; Correa Cantaloube, Erica Norma; Suitability of different comfort indices for the prediction of thermal conditions in tree-covered outdoor spaces in arid citie; Springer Wien; Theory & Application Climatology; 122; 1-2; 21-9-2014; 69–83
0177-798X
1434-4483
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1007/s00704-014-1279-8
info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007%2Fs00704-014-1279-8
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Wien
publisher.none.fl_str_mv Springer Wien
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846082817576927232
score 13.22299