THE CONTEXT OF URBAN CLIMATE STUDIES THROUGH THE THERMO-HYGROMETRIC FIELD IN RONDON DO PARÁ
DOI:
10.46551/rvg26752395220241614633Keywords:
Remote Sensing, Surface temperature, heat islandsAbstract
The development and improvement of remote sensing techniques are crucial in studies of urban climate, because the quality of urban areas has proven to be inadequate for the populations for not taking into account the geoenvironmental characteristics of cities. The study aims to analyse the variations of the Ground Surface Temperatures (GST) of the city of Rondon do Pará, by means of urban climate studies, observing the thermal-hygrometric parameters. Thermal and multispectral sensors from the Landsat 5, 7 and 8 satellites were used with a time scale of 1980 to 2020. The surveys of satellite images were extracted from the earthexplore/Nasa site, by processing of these images in the Qgis software, as well as with the SCP plugin. The main products created were the maps of surface temperature, SAVI, NDWI and thermographic profile. The results pointed to averages of 26.6 degrees in 1980 and relative average of 27.8 in 2020, thus indicating a temperature increase by ±1.2 °C. All mapping efforts resulted in perceptions that land use change by urban processes directly influences the local thermal and hygrometric field (heat islands), which represent high temperature points on the thermal map.
Downloads
References
ALEIXO, N.; NETO, J. O campo térmico em área urbana na Amazônia Brasileira: análise episódica na cidade de Tefé-Am. Geo UERJ. n.34.2019. e40949. DOI: https://doi.org/10.12957/geouerj.2019.40949
AMORIM, M. C. C. T. Ilhas de Calor Urbanas: métodos e técnicas de análise. Revista Brasileira de Climatologia. 2019. p. 22 a 44. DOI: http://dx.doi.org/10.5380/abclima.v0i0.65136
AMORIM, M. C. C. T. Spatial variability and intensity frequency of surface heat island in a Brazilian city with continental tropical climate through remote sensing. Remote Sensing Applications: Society and Environment. 9, p. 10–16, 2018. DOI: https://doi.org/10.1016/j.rsase.2017.11.001
BARBOSA, R.V.R.; VECCHIA, F. A. S. Estudos de ilha de calor urbana por meio de imagens do Landsat 7 ETM+: estudo de caso em São Carlos (SP). Revista Minerva, v. 6, n. 3, p. 273-278, 2009 Tradução. Disponível em: http://www.fipai.org.br/Minerva%2006(03)%2007.pdf. Acesso em: 10 fev. 2023.
BRASIL. Cidades. Instituto Brasileiro de Geografia e Estatística. «https://cidades.ibge.gov.br/brasil/pa/rondon-do-para/historico- história da cidade. Acesso em 12 fev. 2023».
CASTRO, A. R. C. Aplicação de Sensoriamento Remoto na Análise Espaço-temporal das Ilhas de Calor e Ilhas de Frescor Urbanas no Município de Belém/PA, nos Anos de 1997 e 2008. Belém: 2009. Dissertação (Mestrado em Geografia) – Universidade Federal do Pará.
CONGEDO, L. Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS. Journal of Open Source Software, 2021. Vol. 6, n° 64, 3172. DOI: https://doi.org/10.21105/joss.03172
EMBRAPA. Empresa Brasileira de Pesquisa Agropecuária Centro Nacional de Pesquisa de Solos (Rio de Janeiro, RJ). Sistema brasileiro de classificação de solos. 2. ed. – Rio de Janeiro: EMBRAPA, 2006.
GAO, B. C. NDWI: A Normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, v. 58, p.257- 266, 1996. DOI: http://dx.doi.org/10.1016/S0034-4257(96)00067-3
GOMES, M. A. S.; AMORIM, M. C. C. T. Arborização e Conforto Térmico no Espaço Urbano: estudo de caso nas praças públicas de Presidente Prudente (SP). Revista Caminhos de Geografia, v. 7, n. 10, p. 94-106, set. 2003.
DOI: https://doi.org/10.14393/RCG41015319
HUETE, A.R. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, v.25, p.295309. 1988.
JENSEN J. R., Sensoriamento Remoto do Ambiente: uma perspectiva em recursos terrestres, 2da Edição traduzida pelo Instituto Nacional de Pesquisas Espaciais – INPE, São Paulo, Parêntese, 672 p., 2009.
MENDONÇA, F.; DANNI-OLIVEIRA, I. M. Climatologia: noções básicas e climas do Brasil. São Paulo: Oficina de Texto, 2007. 206 p.
MONTEIRO, C. A. de F. Teoria e Clima Urbano. São Paulo: IGEOG/USP, 1976. 181p. (Série Teses e Monografias, 25).
OKE, T. R. Boundary Layer Climates. London: Methuem & Ltd. A. Halsted Press Book, John Wiley & Sons, New York, 1978. 372p.
DOI: https://doi.org/10.4324/9780203407219
OKE, T. R., Mills, G., Christen, A., Voogt, J. A. Urban Climates. Cambridge: Cambridge University Press, 2017.
DOI: https://doi.org/10.1017/9781139016476
REGO, A. G. et al. Evaluation of sustainability in th e use of water within the Amazon deforestation area: a case study in Rondon do Pará, Pará State, Brazil. Acta Scientiarum. Technology, v. 35, n. 2, p. 237-245, 2013.DOI:10.5935/ambiencia.2014.03.11
ROSA, Roberto. Geotecnologias na geografia aplicada. Revista do Departamento de Geografia, 16. 2005. p. 81-90 DOI: https://doi.org/10.7154/RDG.2005.0016.0009
VOOGT, J. A.; OKE, T. R. Thermal remote sensing of urban areas. Remote Sensing of Environment, 86, p. 370 - 384, 2003.
SILVA, J. M. L.; VALENTE, M. A.; RODRIGUES, T. E. Zoneamento agroecológico do Município de Rondon do Pará - Estado do Pará. Belém, PA: Embrapa Amazônia Oriental, 2005a. Documentos, 173. https://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/408057. Acesso em 11 de jan. 2023
SILVA, J. M. L.; VALENTE, M. A., RODRIGUES, T.E. Solos do Município de Rondon do Pará. Boletim Emílio Goeldi. Ciências Naturais. Belém. v. 1. n. 2. p. 157-186. 2005b
WOLTER, K., and M.S. Timlin, 1993: Monitoring ENSO in COADS with a seasonally adjusted principal component index. Proc. of the 17th Climate Diagnostics Workshop, Norman, OK, NOAA/NMC/CAC, NSSL, Oklahoma Clim. Survey, CIMMS and the School of Meteor. Univ. of Oklahoma, 52-57. DOI: 10.4236/ajcc.2016.51009
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Abraão Levi dos Santos Mascarenhas, Maria Rita Vidal, Matheus Martins Miranda
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
You are free to:
Share — copy and redistribute the material in any medium or format
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Esta obra está licenciada com 