Land Surface Temperature through Geographic Information Systems (GIS) in the Municipality of Palmas, TO
DOI:
https://doi.org/10.5216/teri.v14i1.80910Keywords:
Earth Surface Temperature, Geographic Information System, PalmasAbstract
The land surface represents the ability of water to infiltrate the soil surface. In urban surfaces such as asphalted streets, buildings on impermeable soils, resistant to permeability and infiltration, lead to the occurrence of different impacts on the environment, among them, the phenomenon of heat islands. This phenomenon is characterized by an increase in temperature in urban centers compared to the surrounding area. Therefore, this work aims to investigate the impact of vegetation on the increase in Earth Surface Temperature through the Geographic Information System (GIS) in September 2024, in the Municipality of Palmas – TO. To this end, the intensity of the heat island will be verified through surface temperature mapping, with a Landsat-08 image (thermal band 10) and a land use map, prepared by the free software QGIS 3.30.1. The results of data processing made it possible to verify the time of greatest intensity for heat island formations, promoting updating of the multipurpose registration database at the Municipal City Hall of Palmas - TO. The results showed products of the correlation between the increase in the Land Surface Temperature with the typologies of urban land use and occupation, highlighting: permeable and impermeable areas for the localities, contributing to the urban planning of the Municipality.
Downloads
References
CHEN, Liang; YU, Bailang; YANG, Feng; et al. Intra-urban differences of mean radiant temperature in different urban settings in Shanghai and implications for heat stress under heat waves: A GIS-based approach. Energy and Buildings, v. 130, p. 829–842, 2016.
CHEN Z., HAO X., ZHANG X.. ,Have traffic restrictions improved air quality? A shock from COVID-19. Journal of Cleaner Production. 2020.
DENG, J. S. et al.Spatio-temporal dynamics and evolution of land use change and landscape pattern in response to rapid urbanization. Landscape and Urban Planning, v. 92, n. 3–4, p. 187–198, set. 2009.
DORIGON, L. P.; AMORIM, M. C. DE C. T. Spatial modeling of an urban Brazilian heat island in a tropical continental climate. Urban Climate, v. 28, p. 100461, jun. 2019.
DUARTE, D,; SERRA, G. Padrões de ocupação do solo e microclimas urbanos. Techne, São Paulo, n°64, p.46-49, 2002.
EPA. United States Environmental Protection Agency. Heat Islands and Equity. Disponível em: https://www.epa.gov/heat-islands/heat-islands-and-equity.Acesso em agosto de 2024.
FOCHI, D.A. T.; CORAZZA R.;, MESACASA, L.; MELO, N. G,. Utilização de ferramentas de geoprocessamento para a delimitação das Áreas de Preservação Permanente (APPs) no município de Passo Fundo, segundo o Novo Código Florestal (Lei 12.651-2012). VI Congresso Brasileiro de Gestão Ambiental Porto Alegre/RS– 23 a 26/11/2015. Disponível em http://www.ibeas.org.br/congresso/Trabalhos2015/I-028.pdf. Acesso em 24/08/2024.
HU, L.; BRUNSELL, N. A. The impact of temporal aggregation of land surface temperature data for surface urban heat island (SUHI) monitoring. Remote Sensing of Environment, v. 134, p. 162–174, jul. 2013.
INMET – Instituto Nacional De Meteorologia. Disponível em:< http://www.inmet.gov.br/portal/index.php?r=clima/normaisClimatologicas> Acesso em: 25/09/2024.
IPING et al. (2019), Contribution of soil erosion to PAHs in surface water in China, v. 686, P.497-504, 10 October 2019.
LUAN, X.; Yu, Z.; ZHANG, Y.; WEI, S.; MIAO, X.; HUANG, Z.Y.X; TENG, S. N.; XU, C. Remote Sensing and Social Sensing Data Reveal Scale-Dependent and System-Specific Strengths of Urban Heat Island Determinants, Remote Sensing, v. 12, n. 3, p. 391, 2020.
LOPES, E. da S.; HORA, K. E. R. Impact of urban morphology on the intensity of nocturnal heat islands: Analysis through the validation of simulation models in central-west Brazil. Urban Climate. Volume 56, July 2024.
LOPES, E. da S.; NASCIMENTO, D. T. F.; HORA, K. E. R. ANÁLISE DE ILHAS DE CALOR A PARTIR DE AVALIAÇÃO DE VARIÁVEIS URBANAS E AMBIENTAIS NO SETOR BUENO – GOIÂNIA/GO (2020). Sociedade e Território, [S. l.], v. 35, n. 3, 2024. DOI: 10.21680/2177-8396.2023v35n3ID33842. Disponível em: https://periodicos.ufrn.br/sociedadeeterritorio/article/view/33842. Acesso em: 25 set. 2024.
LOPES, E. da S.; WILSON DE SÁ RORIZ, J.; ABREU HARBICH, L.; EMMANUELA RIBEIRO HORA, K. Uma Abordagens sobre supressão arbórea em Goiânia frente às mudanças climáticas: uma revisão bibliográfica (2015 a 2022). Revista Jatobá, Goiânia, v. 4, 2022. DOI: 10.5216/revjat.v4.74653. Disponível em: https://revistas.ufg.br/revjat/article/view/74653. Acesso em: 22 agosto. 2024
NASCIMENTO, D. T. F. Emprego de técnicas de sensoriamento remoto e de geoprocessamento na análise multitemporal do fenômeno de ilhas de calor no município de Goiânia-GO (1986/2010). Dissertação (Mestrado) – Universidade Federal de Goiás, Instituto de Estudos Sócio-Ambientais, 2011
ONU. Divisão de População do Departamento de Assuntos Sociais Econômicos das Nações Unidas. Perspectivas mundiais de urbanização: A revisão de 2018; Edição Online; Nações Unidas: Nova York, NY, EUA, 2018.
OKE, T. R. Boundary layer climates. 2 nd ed. London and New York: Routledge. 1987.
OKE, T. R. The energetic basis of the urban heat island. Quarterly Journal of the
Royal Meteorological Society, London, v. 108, n. 455, p. 1–24, 1982. Disponível
em: <https://doi.org/10.1002/qj.49710845502>. Acesso em: 20 agosto. 2024.
PEREIRA, L. F.; GUIMARÃES, R. M. F.; OLIVEIRA, R. R. M. Integrando geotecnologias simples e gratuitas para avaliar usos/coberturas da terra: QGIS e Google Earth Pro. Journal of Environmental Analysis and Progress, v. 3, n. 3, p. 250–264, 4 jun. 2020.
PESAVENTO, Sandra Jatahy. Muito além do espaço: por uma história cultural do urbano. Revista Estudos Históricos, Rio de Janeiro, vol.8, n.16, 1995 (p.279-290)
QIAO, Zhi; WU, Chen; ZHAO, Dongqi; et al. Determining the Boundary and Probability of Surface Urban Heat Island Footprint Based on a Logistic Model. Remote Sensing, v. 11, n. 11, p. 1368, 2019.
RAJAGOPALAN, Priyadarsini; LIM, Kee Chuan; JAMEI, Elmira. Urban heat island and wind flow characteristics of a tropical city. Solar Energy, v. 107, p. 159–170, 2014.
WANG, Z F, The Relationship Between Land Use, Land Cover Change, And The Heat Island Effect In Xi’an City, China, Applied Ecology and Environmental Research, v. 17, n. 4, 2019
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Estéfane da Silva Lopes
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
