Caracterização térmica do ambiente universitário para o planejamento de infraestrutura verde

Autores

DOI:

https://doi.org/10.22320/07190700.2026.16.01.01

Palavras-chave:

ilhas de calor urbanas, vegetação, NGRDI, infraestrutura verde, planejamento

Resumo

O aumento das temperaturas urbanas, associado às mudanças climáticas e à expansão da infraestrutura cinza, tem intensificado o fenômeno da ilha de calor urbana (ICU), afetando o conforto térmico em espaços externos. Este estudo caracterizou o ambiente térmico do campus da Universidade Autônoma da Baixa Califórnia em Mexicali, uma das cidades mais quentes do mundo, com o objetivo de identificar oportunidades para o planejamento de infraestrutura verde (IV). A metodologia incluiu a geração de um ortomosaico de alta resolução por meio de um veículo aéreo não tripulado para o cálculo do índice NGRDI, medições in situ da temperatura da superfície (LST) com termômetros infravermelhos e a análise geoespacial de ambas as variáveis. Os resultados mostraram temperaturas mais elevadas em superfícies impermeáveis, como o concreto e o asfalto, enquanto as áreas arborizadas apresentaram valores mais baixos. No entanto, foram identificadas zonas verdes com baixo vigor vegetal e capacidade limitada de resfriamento, o que evidencia a necessidade de fortalecer as estratégias de infraestrutura verde.

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Biografias do Autor

  • Walter Ávila-Ruiz, Universidade Autônoma da Baixa Califórnia, Mexicali, México, Universidad Autónoma de Baja California

    Mestre em Engenharia. Aluno de doutorado da Faculdade de Engenharia.

  • Carlos Salazar-Briones, Universidad Autónoma de Baja California, Universidade Autônoma da Baixa Califórnia, Mexicali, México

    Doutor em Ciências. Professor-pesquisador da Faculdade de Engenharia.

  • José Ruiz-Gibert, Universidad Autónoma de Baja California

    Doutor em Ciências. Professor-pesquisador da Faculdade de Engenharia.

  • Juan Saiz-Rodríguez, Universidade de Sonora, Hermosillo, México, Universidad de Sonora

    Doutor em Ciências. Professor-pesquisador do Departamento de Engenharia Civil e de Minas

  • Marcelo Lomelí-Banda, Universidade Autônoma da Baixa Califórnia, Mexicali, México, Universidad Autónoma de Baja California

    Doutor em Ciências. Professor-pesquisador da Faculdade de Engenharia

Referências

ANAND, V., KAUR, S., RAJPUT, V. D., MINKINA, T., MANDZHIEVA, S., KUMAR, S., SHARMA, A., & KUMAR, S. (2025). Analyzing the spatial relationship between land surface temperature and normalized difference vegetation index using remote sensing and GIS. Discover Geoscience, 3(1), 65. https://doi.org/10.1007/s44288-025-00167-w

ARNFIELD, A. J. (2003). Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 1–26. https://doi.org/10.1002/joc.859

Ayuntamiento de Mexicali. (2005). Reglamento de áreas verdes para el municipio de Mexicali, Baja California. Gobierno Municipal de Mexicali. https://www.ordenjuridico.gob.mx/Estatal/BAJA%20CALIFORNIA/Municipios/Mexicali/REG01.pdf

Ayuntamiento de Mexicali. (2020). Guía de forestación para el municipio de Mexicali, baja California. Gobierno Municipal de Mexicali. https://www.scribd.com/document/610318541/2021-Guia-Municipal-de-Forestacion-para-el-Municipio-de-Mexicali-2021

Ayuntamiento de Mexicali. (2024). Atlas de Riesgos del Municipio de Mexicali, B.C. [Actualización 2023]. Universidad Autónoma de Baja California [UABC]. Unidad Municipal de Protección Civil. http://www.mexicali.gob.mx/transparencia/administracion/atlas/pdf/0.pdf

DASHTI, A., & KHAJAH, M. (2024). Urban green areas and their impact on land surface temperature in semi-arid environments: a case study in Kuwait. GeoJournal, 89, 86. https://doi.org/10.1007/s10708-024-11079-6

DECLET-BARRETO, J., BRAZEL, A. J., MARTIN, C. A., CHOW, W. T., & HARLAN, S. L. (2013). Creating the park cool island in an inner-city neighborhood: heat mitigation strategy for Phoenix, AZ. Urban Ecosystems, 16(3), 617-635. https://doi.org/10.1007/s11252-012-0278-8

DHEERAJ, V. P., RAI, A. K., YADAV, A. K., SONKAR, S., MAURYA, A., CHAUDHARY, A., & CHAUDHARY, P. (2025). Spatiotemporal analysis and correlation of surface temperature, vegetation cover, and water index using remote sensing and GIS techniques in Ambedkar Nagar, India. Discover Environment, 3(1), 232. https://doi.org/10.1007/s44274-025-00438-w

Duke University. (2002). STA102: Correlation and regression – The coefficient of determination. Department of Statistical Science, Duke University.

JANNOURA, R., BRINKMANN, K., UTEAU, D., BRUNS, C., & JOERGENSEN, R. G. (2015). Monitoring of crop biomass using true colour aerial photographs taken from a remote controlled hexacopter. Biosystems Engineering, 129, 341-351. https://doi.org/10.1016/j.biosystemseng.2014.11.007

FRANCO, E., GHISI, E., VAZ, I. C. M., & THIVES, L. P. (2025). Permeable Pavements: An Integrative Review of Technical and Environmental Contributions to Sustainable Cities. Water, 17(22), 3323. https://doi.org/10.3390/w17223323

GUTIÉRREZ BONEO, M. M. (10 de junio de 2025). El cuidado de áreas verdes: Clave para el bienestar ambiental. Gaceta UABC. Universidad Autónoma de Baja California. https://gaceta.uabc.mx/el-cuidado-de-areas-verdes-clave-para-el-bienestar-ambiental

GARZÓN, J., MOLINA SÁNCHEZ, I., & JIMÉNEZ CLEVES, G. (2024). Evaluación del fenómeno de la isla de calor urbano en Cartago, Colombia: tendencias de factores ambientales en los últimos 20 años. Encuentro Internacional de Educación en Ingeniería ACOFI. https://doi.org/10.26507/paper.3712

HERAS, A. (8 de agosto de 2025). Mexicali, BC, rompe récord de temperatura con 52.7 grados Celsius. La Jornada. https://www.jornada.com.mx/noticia/2025/08/08/estados/mexicali-bc-rompe-record-de-temperatura-con-527-grados-celsius

HUANG, S., TANG, L., HUPY, J. P., WANG, Y., & SHAO, G. (2021). A commentary review on the use of normalized difference vegetation index (NDVI) in the era of popular remote sensing. Journal of Forestry Research, 32(1), 1-6. https://doi.org/10.1007/s11676-020-01155-1

KRISHNAN, P., MEYERS, T. P., HOOK, S. J., HEUER, M., SENN, D., & DUMAS, E. J. (2020). Intercomparison of in situ sensors for ground-based land surface temperature measurements. Sensors, 20(18), 5268. https://doi.org/10.3390/s20185268

LAU, T.-K., & HSU, H.-C. (2025). Urban Heat Island Effect and Unequal Temperature-Related News Attention in Taiwan’s Major Cities. Urban Science, 9(10), 417. https://doi.org/10.3390/urbansci9100417

LEE, S., & YU, B.-H. (2019). Automatic detection of dead tree from UAV imagery. Coordinates, 15(4), 36-39. https://mycoordinates.org/pdf/apr19.pdf

LONGLEY, P. A., GOODCHILD, M. F., MAGUIRE, D. J., & RHIND, D. W. (2005). Geographical information systems and science. John Wiley & Sons.

MACEDO, F. L., NÓBREGA, H., DE FREITAS, J. G., & PINHEIRO DE CARVALHO, M. A. A. (2025). Assessment of vegetation indices derived from UAV imagery for weed detection in vineyards. Remote Sensing, 17(11), 1899. https://doi.org/10.3390/rs17111899

MANDJOUPA, L. K., BEHERA, P., ROMAN, K. K., AZAM, H., & DENIS, M. (2025). Street-Level Sensing for Assessing Urban Microclimate (UMC) and Urban Heat Island (UHI) Effects on Air Quality. Environments, 12(6), 184. https://doi.org/10.3390/environments12060184

OHLERT, P. L., BACH, M., & BREUER, L. (2023). Accuracy assessment of inverse distance weighting interpolation of groundwater nitrate concentrations in Bavaria (Germany). Environmental Science and Pollution Research, 30(4), 9445-9455. https://doi.org/10.1007/s11356-022-22670-0

OKE, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1–24. https://doi.org/10.1002/qj.49710845502

RAHIMI, E., DONG, P., & JUNG, C. (2025). Global NDVI-LST correlation: Temporal and spatial patterns from 2000 to 2024. Environments, 12(2), 67. https://doi.org/10.3390/environments12020067

RONY, M. K. K., & ALAMGIR, H. M. (2023). High temperatures on mental health: Recognizing the association and the need for proactive strategies—A perspective. Health Science Reports, 6(12), e1729. https://doi.org/10.1002/hsr2.1729

SCHWARZ, N., SCHLINK, U., FRANCK, U., & GROßMANN, K. (2012). Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—An application for the city of Leipzig (Germany). Ecological indicators, 18, 693-704. https://doi.org/10.1016/j.ecolind.2012.01.001

SHASHUA-BAR, L., & HOFFMAN, M. E. (2000). Vegetation as a climatic component in the design of an urban street: An empirical model for predicting the cooling effect of urban green areas with trees.Energy Buildings 31(3), 221-235. https://doi.org/10.1016/S0378-7788(99)00018-3

SPEAK, A. (2015). 12-Influence of vegetation damage on urban cooling effects in F. Pacheco-Torgal, J.A. Labrincha, L.F. Cabeza, C.-G. Granqvist (Eds.), Eco-Efficient Materials for Mitigating Building Cooling Needs (pp. 325-347). Woodhead Publishing. https://doi.org/10.1016/B978-1-78242-380-5.00012-1

STAMFORD, J. D., VIALET-CHABRAND, S., CAMERON, I., & LAWSON, T. (2023). Development of an accurate low cost NDVI imaging system for assessing plant health. Plant Methods, 19(1), 9. https://doi.org/10.1186/s13007-023-00981-8

STEWART, I. D. (2011). A systematic review and scientific critique of methodology in modern urban heat island literature. International Journal of Climatology, 31(2), 200–217. https://doi.org/10.1002/joc.2141

United Nations. (16 de mayo de 2018). 2018 Revision of World Urbanization Prospects. United Nations, Department of Economic and Social Affairrs. https://www.un.org/en/desa/2018-revision-world-urbanization-prospects

VALAVANIDIS, A. (2024). Half of the Global Population Lives in MegaCities. Megacities are hotspots for slums, GHG emissions, toxic air pollution, climate change, deteriorating water and soil quality. https://www.researchgate.net/publication/379655450_Half_of_the_Global_Population_Lives_in_MegaCities_Megacities_are_hotspots_for_slums_GHG_emissions_toxic_air_pollution_climate_change_deteriorating_water_and_soil_quality

VOOGT, J. A., & OKE, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370-384. https://doi.org/10.1016/S0034-4257(03)00079-8

WU, B., ZHANG, Y., WANG, Y., HE, Y., WANG, J., WU, Y., LIN, X., & WU, S. (2024). Mitigation of urban heat island in China (2000–2020) through vegetation-induced cooling. Sustainable Cities and Society, 112, 105599. https://doi.org/10.1016/j.scs.2024.105599

YAHIA, M. W., & JOHANSSON, E. (2014). Landscape interventions in improving thermal comfort in the hot dry city of Damascus, Syria—The example of residential spaces with detached buildings. Landscape and Urban Planning, 125, 1-16. https://doi.org/10.1016/j.landurbplan.2014.01.014

YANG, J., REN, J., SUN, D., XIAO, X., XIA, J. C., JIN, C., & LI, X. (2021). Understanding land surface temperature impact factors based on local climate zones. Sustainable Cities and Society, 69, 102818. https://doi.org/10.1016/j.scs.2021.102818

YIN, Y., LI, S., XING, X., ZHOU, X., KANG, Y., HU, Q., & LI, Y. (2024). Cooling benefits of urban tree canopy: A systematic review. Sustainability, 16(12), 4955. https://doi.org/10.3390/su16124955

ZHAO, J., LU, J., GE, J., FAN, Y., WANG, H., GU, M., XUE, Y., ZHAO, Y., LV, G., LIN, H., ZHAO, K., & LUO, X. (2025). Influences of permeable pavements with different hydraulic properties on evaporative cooling and outdoor thermal environment: Field experiments. Building and Environment, 270, 112525. https://doi.org/10.1016/j.buildenv.2025.112525

Publicado

2026-07-01

Edição

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Artículos

Como Citar

Ávila-Ruiz, W., Salazar-Briones, C., Ruiz-Gibert, J., Saiz-Rodríguez, J., & Lomelí-Banda, M. (2026). Caracterização térmica do ambiente universitário para o planejamento de infraestrutura verde. Hábitat Sustentable, 16(1), 10-23. https://doi.org/10.22320/07190700.2026.16.01.01