Mapeamento do ambiente térmico e suas relações com os parâmetros do entorno urbano
| Ano de defesa: | 2016 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| 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: | |
| 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. |
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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 |
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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 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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publishedVersion |
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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. |
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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. |
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por |
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por |
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Universidade Federal de São Carlos Câmpus São Carlos |
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Programa de Pós-Graduação em Engenharia Urbana - PPGEU |
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UFSCar |
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Universidade Federal de São Carlos Câmpus São Carlos |
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