The formation of urban climates constitutes a distinctive system intrinsically linked to the urban environment. This study aims to delve into the impact of the urban environment on climatic variables. The Urban Weather Generator (UWG) algorithm was employed to generate climatic data, facilitating the creation of an epw climate file that corresponds to the urban characteristics surrounding the Centro Politécnico campus at the Federal University of Paraná (UFPR). Comprehensive analyses encompassing land use, occupancy patterns, albedo, surface absorption, anthropogenic heat, and architectural attributes were conducted. A comparative assessment between the UWG-derived air temperature values and meteorological station data revealed that the UWG effectively characterizes the air temperature patterns around the UFPR campus. The anticipated air temperature values consistently surpass the original dataset (SWERA), which was utilized as input, primarily during the hours from 3 p.m. to 7 a.m., showcasing the unmistakable urban heat island phenomenon.
References
[1]
Climate Change Brazilian Pannel (PBMC) (2016) Mudanças climáticas e cidades: Relatório Especial do Painel brasileiro de mudanças climáticas. http://www.pbmc.coppe.ufrj.br/documentos/Relatorio_UM_v8_sumario-executivo.pdf
[2]
American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) (2010) STANDARD 90.1. Energy Standard for Buildings except Low-Rise Residential Buildings. ASHRAE: Atlanta.
[3]
Jalali, Z., Shamseldin, A.Y. and Ghaffarianhoseini, A. (2024) Urban Microclimate Impacts on Residential Building Energy Demand in Auckland, New Zealand: A Climate Change Perspective. Urban Climate, 53, 1-14. https://doi.org/10.1016/j.uclim.2024.101808
[4]
Yin, S., Xiao, S., Ding, X. and Fan, X. (2024) Improvement of Spatial-Temporal Urban Heat Island Study Based on Local Climate Zone Framework: A Case Study of Hangzhou, China. Building and Environment, 248, 1-14. https://doi.org/10.1016/j.buildenv.2023.111102
[5]
Salvati, A., Roura, H.C. and Cecere, C. (2016) Urban Heat Island Prediction in the Mediterranean Context: An Evaluation of the Urban Weather Generator Model. ACE: Architecture, City and Environment, 11, 135-156. https://doi.org/10.5821/ace.11.32.4836
[6]
Chiesa, G. and Palme, M. (2018) Valutare la vulnerabilità urbana ai cambiamenti climatici e alle isole di calore urbano. TECHNE, 15, 237-245.
[7]
Lima, I.; Scalco, V.; Lamberts, R. (2019) Estimating the Impact of Urban Densification on High-Rise Office Building Cooling Loads in a Hot and Humid Climate. Energy and Buildings, 182, 30-44. https://doi.org/10.1016/j.enbuild.2018.10.019
[8]
Machado, R.M.S. (2019) Modelagem do impacto da ilha de calor urbano sobre o desempenho energético de escritórios condicionados artificialmente. Master’s Dissertation, Universidade Federal de Santa Catarina, Florianópolis.
[9]
Salvati, A., Palme, M., Chiesa, G., Kolokotroni, M. (2020) Built Form, Urban Climate and Building Energy Modelling: Case-Studies in Rome and Antofagasta. Journal of Building Performance Simulation, 1, 1-17. https://doi.org/10.1080/19401493.2019.1707876
[10]
Peel, M., Finlayson, B. and Mcmahon, T. (2007) Updated World Map of the Koppen-Geiger Climate Classification. Hydrology and Earth System Sciences, 11, 1633-1644. https://doi.org/10.5194/hess-11-1633-2007
[11]
Brazilian Association of Technical Normatives (Associação Brasileira de Normas Técnicas—ABNT) (2003) NBR 15.220—Parte 3: Zoneamento bioclimático brasileiro e diretrizes construtivas para habitações unifamiliares de interesse social. https://edisciplinas.usp.br/pluginfile.php/5660736/mod_folder/content/0/NBR 15220/NBR15220-3.pdf
[12]
Candido, C.R. and Rossi, F.A. (2019) Ano climático de referência para curitiba: Comparação entre dados de duas estações. https://eventos.antac.org.br/index.php/encac/article/view/4014
[13]
Oke, T.R. (2006) Initial Guidance to Obtain Representative Meteorological Observations at Urban Sites. http://www.wmo.int/pages/prog/www/IMOP/publications/IOM-81/IOM-81-UrbanMetObs.pdf
[14]
Congedo, L. (2012) Semi-Automatic Classification Plugin Documentation. https://semiautomaticclassificationmanual.readthedocs.io/en/latest/
[15]
Chavez, P.S. (1996) Image-Based Atmospheric Corrections—Revisited and Improved Photogrammetric Engineering and Remote Sensing. American Society of Photogrammetry, 62, 1025-1036.
[16]
Bueno, B. (2010) An Urban Weather Generator Coupling a Building Simulation Program with an Urban Canopy Model. Master’s Thesis, Massachusetts Institute of Technology, Cambridge.
[17]
Moro, J., Krüger, E. and Camboim, S. (2019) Metodologia para análise e quantificação de sombreamento proveniente de edificações de entorno sobre espaços públicos abertos. https://eventos.antac.org.br/index.php/encac/article/view/3960
[18]
Callejas, I.J.A. (2012) Avaliação temporal do balanço de energia em ambientes urbanos na cidade de Cuiabá-MT. Ph.D. Thesis, Universidade Federal de Mato Grosso, Cuiabá. https://ri.ufmt.br/bitstream/1/2530/1/TESE_2012_Ivan Julio Apolonio Callejas.pdf
[19]
Ferreira, M., Oliveira, A. and Soares, J. (2011) Anthropogenic Heat in the City of São Paulo, Brazil. Theoretical and Applied Climatology, 104, 43-56. https://doi.org/10.1007/s00704-010-0322-7
[20]
Oke, T.R. (1988) The Urban Energy Balance. Progress in Physical Geography, 12, 471. https://doi.org/10.1177/030913338801200401
[21]
Angelini, L.C., Fausto, M.A., Mutzenberg, D., Nassarden, D., et al. (2015) Relação entre albedo e temperatura da superfície estimados por sensoriamento remoto na área urbana de Cuiabá, Mato Grosso. http://www.dsr.inpe.br/sbsr2015/files/p0377.pdf
[22]
Muniz-Gäal, L.P., Pezzuto, C.C., de Carvalho, M.F.H. and Mota, L.T.M. (2018) Parâmetros urbanísticos e o conforto térmico de cânions urbanos: O exemplo de Campinas, SP. Ambiente Construído, 18, 177-196. https://doi.org/10.1590/s1678-86212018000200249
[23]
Aldawi, F., Alam, F., Khan, I. and Allghamdi, M. (2013) Effect of Climates and Building Materials on House Wall Thermal Performance. Procedia Engineering, 56, 661-666. https://doi.org/10.1016/j.proeng.2013.03.175
[24]
Costa Neto, P.L. (2002) De O Estatística Básica. Edgard Blücher, São Paulo.
