Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Debiazi, Pedro Renan
Orientador(a): Souza, Lea Cristina Lucas de lattes
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de São Carlos
Câmpus São Carlos
Programa de Pós-Graduação: Programa de Pós-Graduação em Engenharia Urbana - PPGEU
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
FVC
Área do conhecimento CNPq:
Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/7366
Resumo: This research aims to verify the thermal environment of a campus university, by evaluating the relative contribution of urban elements towards the modification of the air temperature. For this purpose, real data of air temperature were collected at several points of the Federal University of São Carlos (UFSCar). These were then related to the local urban indexes, by applying the technique of Artificial Neural Networks (ANN), in order to develop a prediction model. This analysis considered three different scales of approaching, taking the radius of 25, 50 and 100 meters as references. Within the areas of these radii, the Occupation Coefficient (OC), the Urban Vegetation Coefficient (UVC), the Sky View Factor (SVF) and the Ground Cover Coefficient (GCC) were estimated. This method allowed the observation of interactions among these urban parameters and the thermal tendencies. The mathematical model developed by ANN training process was identified and described to be incorporated into a Geographical Information System. By this procedure, thematic maps were developed and, consequently, a microclimatic classification for the case study was proposed. The results pointed out that the urban indexes under investigation presented different relative importance according to the scale of analysis. For the diurnal period, the urban indexes had significant influence in the air temperatures of the Campus. Furthermore, the Urban Vegetation Coefficient was one of the most important parameters in the determination of the thermal patterns reached in the Campus area.
id SCAR_e8563dc2f668f0022d61015a5599d971
oai_identifier_str oai:repositorio.ufscar.br:20.500.14289/7366
network_acronym_str SCAR
network_name_str Repositório Institucional da UFSCAR
repository_id_str
spelling Debiazi, Pedro RenanSouza, Lea Cristina Lucas dehttp://lattes.cnpq.br/0083847008256434http://lattes.cnpq.br/6341093159176906e7554154-8f42-4f44-930b-bd772494ea662016-09-21T18:35:43Z2016-09-21T18:35:43Z2016-02-23DEBIAZI, Pedro Renan. Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano. 2016. Dissertação (Mestrado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/7366.https://repositorio.ufscar.br/handle/20.500.14289/7366This research aims to verify the thermal environment of a campus university, by evaluating the relative contribution of urban elements towards the modification of the air temperature. For this purpose, real data of air temperature were collected at several points of the Federal University of São Carlos (UFSCar). These were then related to the local urban indexes, by applying the technique of Artificial Neural Networks (ANN), in order to develop a prediction model. This analysis considered three different scales of approaching, taking the radius of 25, 50 and 100 meters as references. Within the areas of these radii, the Occupation Coefficient (OC), the Urban Vegetation Coefficient (UVC), the Sky View Factor (SVF) and the Ground Cover Coefficient (GCC) were estimated. This method allowed the observation of interactions among these urban parameters and the thermal tendencies. The mathematical model developed by ANN training process was identified and described to be incorporated into a Geographical Information System. By this procedure, thematic maps were developed and, consequently, a microclimatic classification for the case study was proposed. The results pointed out that the urban indexes under investigation presented different relative importance according to the scale of analysis. For the diurnal period, the urban indexes had significant influence in the air temperatures of the Campus. Furthermore, the Urban Vegetation Coefficient was one of the most important parameters in the determination of the thermal patterns reached in the Campus area.Esta pesquisa tem como objetivo verificar o ambiente térmico de um campus universitário, através da avaliação da contribuição relativa dos elementos do entorno urbano em relação à alteração da temperatura do ar intraurbano. Para isso, dados reais sobre a temperatura do ar foram coletados em vários pontos do Campus da Universidade Federal de São Carlos (UFSCar). Estes foram relacionados com índices urbanísticos locais, aplicando-se a técnica de Redes Neurais Artificiais (RNA), para a criação de um modelo matemático de previsão. A análise considerou três diferentes escalas tomadas a partir dos raios de abrangência de 25, 50 e 100 m. Nas áreas delimitadas por esses raios, foram estimados o Coeficiente de Ocupação (CO), o Coeficiente de Vegetação Urbana (CVU), o Fator de visão de céu (FVC) e o Coeficiente de Cobertura do Solo (CCS). Este método permitiu a observação das interações entre aqueles parâmetros urbanos e as tendências térmicas. O modelo matemático desenvolvido a partir do processo de treinamento na RNA foi identificado e descrito de forma a ser inserido em um Sistema de Informações Geográficas. Por esse procedimento foram criados mapas temáticos, e, consequentemente, foi proposta uma classificação microclimática para o estudo de caso. Os resultados apontaram que os índices urbanísticos estudados apresentaram importância relativa diferenciada de acordo com a escala de análise. Para o período diurno, os índices urbanísticos exerceram significativa influência sobre as temperaturas do ar no Campus. Além disso, o Coeficiente de Vegetação Urbana foi um dos parâmetros mais importantes na determinação dos padrões térmicos alcançados na área do Campus.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)porUniversidade Federal de São CarlosCâmpus São CarlosPrograma de Pós-Graduação em Engenharia Urbana - PPGEUUFSCarClima urbanoÍndices urbanísticosParâmetros urbanosFVCUCMapCIENCIAS SOCIAIS APLICADAS::PLANEJAMENTO URBANO E REGIONALMapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbanoinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisOnline600600ae53a285-6925-42be-b482-a29ec03e8e68info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFSCARinstname:Universidade Federal de São Carlos (UFSCAR)instacron:UFSCARORIGINALDissPRD.pdfDissPRD.pdfapplication/pdf11103389https://repositorio.ufscar.br/bitstreams/d45e4600-1e34-4e97-add4-c01e0c698585/download0e5d6184c08c04b5d3f2de0c5b4f8e74MD51trueAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81957https://repositorio.ufscar.br/bitstreams/2dd377bb-b44a-4307-bd4a-c4d736b28832/downloadae0398b6f8b235e40ad82cba6c50031dMD52falseAnonymousREADTEXTDissPRD.pdf.txtDissPRD.pdf.txtExtracted texttext/plain128058https://repositorio.ufscar.br/bitstreams/b92a0e2c-1f77-469d-8186-992bb71dae62/download5f538c14ab2f9f01e4f6164e50beb0f6MD55falseAnonymousREADTHUMBNAILDissPRD.pdf.jpgDissPRD.pdf.jpgIM Thumbnailimage/jpeg4450https://repositorio.ufscar.br/bitstreams/97a3bfa0-45a1-44ab-acc5-afdfc071e32e/download39e1a8d75b7ac167e3d1f480fdabb1dcMD56falseAnonymousREAD20.500.14289/73662025-02-05 17:13:14.35Acesso abertoopen.accessoai:repositorio.ufscar.br:20.500.14289/7366https://repositorio.ufscar.brRepositório InstitucionalPUBhttps://repositorio.ufscar.br/oai/requestrepositorio.sibi@ufscar.bropendoar:43222025-02-05T20:13:14Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)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
dc.title.por.fl_str_mv Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
title Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
spellingShingle Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
Debiazi, Pedro Renan
Clima urbano
Índices urbanísticos
Parâmetros urbanos
FVC
UCMap
CIENCIAS SOCIAIS APLICADAS::PLANEJAMENTO URBANO E REGIONAL
title_short Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
title_full Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
title_fullStr Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
title_full_unstemmed Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
title_sort Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
author Debiazi, Pedro Renan
author_facet Debiazi, Pedro Renan
author_role author
dc.contributor.authorlattes.por.fl_str_mv http://lattes.cnpq.br/6341093159176906
dc.contributor.author.fl_str_mv Debiazi, Pedro Renan
dc.contributor.advisor1.fl_str_mv Souza, Lea Cristina Lucas de
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/0083847008256434
dc.contributor.authorID.fl_str_mv e7554154-8f42-4f44-930b-bd772494ea66
contributor_str_mv Souza, Lea Cristina Lucas de
dc.subject.por.fl_str_mv Clima urbano
Índices urbanísticos
Parâmetros urbanos
FVC
UCMap
topic Clima urbano
Índices urbanísticos
Parâmetros urbanos
FVC
UCMap
CIENCIAS SOCIAIS APLICADAS::PLANEJAMENTO URBANO E REGIONAL
dc.subject.cnpq.fl_str_mv CIENCIAS SOCIAIS APLICADAS::PLANEJAMENTO URBANO E REGIONAL
description This research aims to verify the thermal environment of a campus university, by evaluating the relative contribution of urban elements towards the modification of the air temperature. For this purpose, real data of air temperature were collected at several points of the Federal University of São Carlos (UFSCar). These were then related to the local urban indexes, by applying the technique of Artificial Neural Networks (ANN), in order to develop a prediction model. This analysis considered three different scales of approaching, taking the radius of 25, 50 and 100 meters as references. Within the areas of these radii, the Occupation Coefficient (OC), the Urban Vegetation Coefficient (UVC), the Sky View Factor (SVF) and the Ground Cover Coefficient (GCC) were estimated. This method allowed the observation of interactions among these urban parameters and the thermal tendencies. The mathematical model developed by ANN training process was identified and described to be incorporated into a Geographical Information System. By this procedure, thematic maps were developed and, consequently, a microclimatic classification for the case study was proposed. The results pointed out that the urban indexes under investigation presented different relative importance according to the scale of analysis. For the diurnal period, the urban indexes had significant influence in the air temperatures of the Campus. Furthermore, the Urban Vegetation Coefficient was one of the most important parameters in the determination of the thermal patterns reached in the Campus area.
publishDate 2016
dc.date.accessioned.fl_str_mv 2016-09-21T18:35:43Z
dc.date.available.fl_str_mv 2016-09-21T18:35:43Z
dc.date.issued.fl_str_mv 2016-02-23
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.citation.fl_str_mv DEBIAZI, Pedro Renan. Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano. 2016. Dissertação (Mestrado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/7366.
dc.identifier.uri.fl_str_mv https://repositorio.ufscar.br/handle/20.500.14289/7366
identifier_str_mv DEBIAZI, Pedro Renan. Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano. 2016. Dissertação (Mestrado em Engenharia Urbana) – Universidade Federal de São Carlos, São Carlos, 2016. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/7366.
url https://repositorio.ufscar.br/handle/20.500.14289/7366
dc.language.iso.fl_str_mv por
language por
dc.relation.confidence.fl_str_mv 600
600
dc.relation.authority.fl_str_mv ae53a285-6925-42be-b482-a29ec03e8e68
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Engenharia Urbana - PPGEU
dc.publisher.initials.fl_str_mv UFSCar
publisher.none.fl_str_mv Universidade Federal de São Carlos
Câmpus São Carlos
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFSCAR
instname:Universidade Federal de São Carlos (UFSCAR)
instacron:UFSCAR
instname_str Universidade Federal de São Carlos (UFSCAR)
instacron_str UFSCAR
institution UFSCAR
reponame_str Repositório Institucional da UFSCAR
collection Repositório Institucional da UFSCAR
bitstream.url.fl_str_mv https://repositorio.ufscar.br/bitstreams/d45e4600-1e34-4e97-add4-c01e0c698585/download
https://repositorio.ufscar.br/bitstreams/2dd377bb-b44a-4307-bd4a-c4d736b28832/download
https://repositorio.ufscar.br/bitstreams/b92a0e2c-1f77-469d-8186-992bb71dae62/download
https://repositorio.ufscar.br/bitstreams/97a3bfa0-45a1-44ab-acc5-afdfc071e32e/download
bitstream.checksum.fl_str_mv 0e5d6184c08c04b5d3f2de0c5b4f8e74
ae0398b6f8b235e40ad82cba6c50031d
5f538c14ab2f9f01e4f6164e50beb0f6
39e1a8d75b7ac167e3d1f480fdabb1dc
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFSCAR - Universidade Federal de São Carlos (UFSCAR)
repository.mail.fl_str_mv repositorio.sibi@ufscar.br
_version_ 1851688814625423360