Urban Heat Island Vulnerability in the City of Recife, Pernambuco, Brazil

Ayobami Badiru Moreira aResearch Centre of Human Biometeorology, Deutscher Wetterdienst, Freiburg, Germany
bFaculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany

Search for other papers by Ayobami Badiru Moreira in
Current site
Google Scholar
PubMed
Close
,
Ranyére Silva Nóbrega cFederal University of Campina Grande, Campina Grande, Brazil

Search for other papers by Ranyére Silva Nóbrega in
Current site
Google Scholar
PubMed
Close
,
Lucas Suassuna de A. Wanderley dFederal Institute of Education, Sciences and Technology of Alagoas, Penedo, Alagoas, Brazil

Search for other papers by Lucas Suassuna de A. Wanderley in
Current site
Google Scholar
PubMed
Close
, and
Andreas Matzarakis aResearch Centre of Human Biometeorology, Deutscher Wetterdienst, Freiburg, Germany
bFaculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany

Search for other papers by Andreas Matzarakis in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

This study introduces the urban heat island vulnerability index (UHIVI) for Recife, Brazil, the center of the most populated metropolitan area in the Northeast region. The index, encompassing sensitivity, adaptive capacity, and exposure, integrates demographic data through factor analysis to derive a social vulnerability index (SVI). Urban heat island (UHI) intensity data addresses exposure, enabling a comprehensive analysis of both the physical and social dimensions of the city. Results reveal heightened UHI exposure in the city center and coastal areas, correlating with higher urbanization density. However, populations in most areas of these regions demonstrated higher adaptive capacities, translating to lower UHI vulnerability. Conversely, less-discussed areas in traditional UHI approaches, with limited adaptive capacity and heightened sensitivity, emerge, shedding light on previously overlooked urban vulnerabilities. Regions near the city center featuring irregular settlements prove most susceptible to UHI. Illiteracy, aging demographics, and local environmental conditions emerge as the three main factors contributing to UHIVI. The index’s application unveils spatial complexities and inequalities, offering urban planners a nuanced understanding of the city. This comprehensive insight aids in policy development and decision-making, empowering planners to address urban disparities effectively. The UHIVI thus emerges as a valuable tool for understanding the challenges of urban planning, fostering more resilient and equitable urban development.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Ayobami Badiru Moreira, ayobami.moreira@meteo.uni-freiburg.de

Abstract

This study introduces the urban heat island vulnerability index (UHIVI) for Recife, Brazil, the center of the most populated metropolitan area in the Northeast region. The index, encompassing sensitivity, adaptive capacity, and exposure, integrates demographic data through factor analysis to derive a social vulnerability index (SVI). Urban heat island (UHI) intensity data addresses exposure, enabling a comprehensive analysis of both the physical and social dimensions of the city. Results reveal heightened UHI exposure in the city center and coastal areas, correlating with higher urbanization density. However, populations in most areas of these regions demonstrated higher adaptive capacities, translating to lower UHI vulnerability. Conversely, less-discussed areas in traditional UHI approaches, with limited adaptive capacity and heightened sensitivity, emerge, shedding light on previously overlooked urban vulnerabilities. Regions near the city center featuring irregular settlements prove most susceptible to UHI. Illiteracy, aging demographics, and local environmental conditions emerge as the three main factors contributing to UHIVI. The index’s application unveils spatial complexities and inequalities, offering urban planners a nuanced understanding of the city. This comprehensive insight aids in policy development and decision-making, empowering planners to address urban disparities effectively. The UHIVI thus emerges as a valuable tool for understanding the challenges of urban planning, fostering more resilient and equitable urban development.

© 2024 American Meteorological Society. This published article is licensed under the terms of the default AMS reuse license. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Ayobami Badiru Moreira, ayobami.moreira@meteo.uni-freiburg.de
Save
  • Almeida, L. Q. D., 2010: Vulnerabilidades socioambientais de rios urbanos: Bacia hidrográfica do rio Maranguapinho. Região metropolitana de Fortaleza, Ceará. Ph.D. thesis, Universidade Estadual Paulista, 279 pp., https://bv.fapesp.br/pt/publicacao/83338/vulnerabilidades-socioambientais-de-rios-urbanos-bacia-hidr/.

  • Amorim, M. C. C. T., 2020: Daily evolution of urban heat islands in a Brazilian tropical continental climate during dry and rainy periods. Urban Climate, 34, 100715, https://doi.org/10.1016/j.uclim.2020.100715.

    • Search Google Scholar
    • Export Citation
  • Amorim, M. C. C. T., and V. Dubreuil, 2017: Intensity of urban heat islands in tropical and temperate climates. Climate, 5, 91, https://doi.org/10.3390/cli5040091.

    • Search Google Scholar
    • Export Citation
  • Barrozo, L. V., and Coauthors, 2020: GEOSeS: A socioeconomic index for health and social research in Brazil. PLOS ONE, 15, e0232074, https://doi.org/10.1371/journal.pone.0232074.

    • Search Google Scholar
    • Export Citation
  • Berry, P., and Coauthors, 2013: Protecting health from climate change: Vulnerability and adaptation assessment. World Health Organization, 73 pp., http://apps.who.int/iris/bitstream/10665/104200/1/9789241564687_eng.pdf?ua=1.

  • Birkmann, J., 2005: Danger need not spell disaster but how vulnerable are we? United Nations University Research Brief 1, 8 pp., https://www.files.ethz.ch/isn/21139/UNU-RB-1-2005-EHS.pdf.

  • Cutter, S. L., 1996: Vulnerability to environmental hazards. Prog. Hum. Geogr., 20, 529539, https://doi.org/10.1177/030913259602000407.

    • Search Google Scholar
    • Export Citation
  • De Carolis, L., 2012: The urban heat island effect in Windsor, ON: An assessment of vulnerability and mitigation strategies. City of Windsor Rep., 54 pp., https://www.citywindsor.ca/residents/environment/Environmental-Master-Plan/topics-of-interest/Documents/UHIE_Report%20final.pdf.

  • Dubreuil, V., M. Marion, and P. Olivier, 2002: Une méthode d’interpolation des températures de l’air en Bretagne: Combinaison des paramètres géographiques et des mesures infrarouge NOAA–AVHRR. Hommes Terres Nord, 1, 2639, https://doi.org/10.3406/htn.2002.2795.

    • Search Google Scholar
    • Export Citation
  • Emmanuel, R., 2016: Urban Climate Challenges in the Tropics. Imperial College Press, 384 pp., https://doi.org/10.1142/p1048.

  • Environment and Climate Change Canada, 2013: MANOBS—Manual of Surface Weather Observation Standards. Meteorological Service of Canada, 500 pp., https://globalcryospherewatch.org/bestpractices/docs/MANOBS_weather_2013.pdf.

  • Field, A., 2009: Descobrindo a Estatística Usando o SPSS (Discovering Statistics Using SPSS). 2nd ed. Bookman, 688 pp.

  • Foissard, X., 2016: L’îlot de chaleur urbain et le changement climatique: Application à l’agglomération rennaise. Ph.D. thesis, Géographie, Université Rennes 2, 248 pp., https://tel.archives-ouvertes.fr/tel-01381999.

  • Gago, E. J., J. Roldan, R. Pacheco-Torres, and J. Ordóñez, 2013: The city and urban heat islands: A review of strategies to mitigate adverse effects. Renewable Sustainable Energy Rev., 25, 749758, https://doi.org/10.1016/j.rser.2013.05.057.

    • Search Google Scholar
    • Export Citation
  • Gallaway, J. H., and A. Bernasek, 2004: Literacy and women’s empowerment in Indonesia: Implications for policy. J. Econ. Issues, 38, 519525, https://doi.org/10.1080/00213624.2004.11506713.

    • Search Google Scholar
    • Export Citation
  • Gamble, J., M. T. Schmeltz, B. Hurley, J. Hsieh, G. Jette, and H. Wagner, 2018: Mapping the vulnerability of human health to extreme heat in the United States. U.S. EPA Tech. Rep. EPA/600/R-18/212F, 78 pp., https://ordspub.epa.gov/ords/eims/eimscomm.getfile?p_download_id=536853.

  • García, F., 2009: Ciudad y cambio climático: Aspectos generales y aplicación al área metropolitana de Madrid. Investig. Geogr., 49, 173195, https://doi.org/10.14198/INGEO2009.49.09.

    • Search Google Scholar
    • Export Citation
  • Gomes, W. P., 2017: Características da temperatura na zona costeira: Análise do clima urbano em Ubatuba–SP. Dissertation, Universidade Estadual Paulista Júlio De Mesquita Filho, 209 pp., https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5571738.

  • Guedes, R. V. S., and T. L. V. Silva, 2020: Análise descritiva da precipitação, temperatura, umidade e tendências climáticas no Recife–Pe. Rev. Bras. Geogr. Fís., 13, 32343253, https://doi.org/10.26848/rbgf.v13.07.p3234-3253.

    • Search Google Scholar
    • Export Citation
  • IBGE, 2010: Downloads. Brazilian Institute of Geography and Statistics, accessed 22 July 2021, https://www.ibge.gov.br/estatisticas/downloads-estatisticas.html.

  • IBGE, 2020: Recife (PE). Cidades e Estados. Brazilian Institute of Geography and Statistics, accessed 22 May 2021, https://www.ibge.gov.br/cidades-e-estados/pe/recife.html.

  • Icaza, L. E., A. Van den Dobbelsteen, and F. Van der Hoeven, 2016: Integrating urban heat assessment in urban plans. Sustainability, 8, 320, https://doi.org/10.3390/su8040320.

    • Search Google Scholar
    • Export Citation
  • INMET, 2021: Banco de dados meteorológicos do INMET. Accessed 19 June 2021, https://bdmep.inmet.gov.br/#.

  • IPCC, 2007: Climate Change 2007: Impacts, Adaptation and Vulnerability. M. L. Parry et al., Eds., Cambridge University Press, 976 pp., https://www.ipcc.ch/site/assets/uploads/2018/03/ar4_wg2_full_report.pdf.

  • Khan, A., S. Chatterjee, and Y. Weng, 2021a: Context and background of urban heat island. Urban Heat Island Modeling for Tropical Climates, Elsevier, 1–35, https://doi.org/10.1016/B978-0-12-819669-4.00001-5.

  • Khan, A., S. Chatterjee, and Y. Weng, 2021b: Future research for tropical UHI. Urban Heat Island Modeling for Tropical Climates, A. Khan, S. Chatterjee, and Y. Weng, Eds., Elsevier, 215–230, https://doi.org/10.1016/B978-0-12-819669-4.00007-6.

  • Kleerekoper, L., M. van Esch, and T. B. Salcedo, 2012: How to make a city climate-proof, addressing the urban heat island effect. Resour. Conserv. Recycl., 64, 3038, https://doi.org/10.1016/j.resconrec.2011.06.004.

    • Search Google Scholar
    • Export Citation
  • Leal Filho, W., L. E. Icaza, A. Neht, M. Klavins, and E. A. Morgan, 2018: Coping with the impacts of urban heat islands. A literature based study on understanding urban heat vulnerability and the need for resilience in cities in a global climate change context. J. Cleaner Prod., 171, 11401149, https://doi.org/10.1016/j.jclepro.2017.10.086.

    • Search Google Scholar
    • Export Citation
  • Manik, T. K., and S. Syaukat, 2017: Comparative vulnerability assessment of urban heat islands in two tropical cities in Indonesia. Int. J. Environ. Climate Change, 7, 119134, https://doi.org/10.9734/BJECC/2017/33529.

    • Search Google Scholar
    • Export Citation
  • Matzarakis, A., 2021: Comments about urban bioclimate aspects for consideration in urban climate and planning issues in the era of climate change. Atmosphere, 12, 546, https://doi.org/10.3390/atmos12050546.

    • Search Google Scholar
    • Export Citation
  • Mendonça, F., and I. M. Danni-Oliveira, 2007: Climatologia: Noções Básicas E Climas Do Brasil. Oficina de Texto, 206 pp.

  • Moreira, A. B., R. S. Nóbrega, T. G. L. Mendes, P. F. C. Santos, and C. A. G. P. Zamparoni, 2021: O Fator de Visão do Céu e o clima urbano na cidade do Recife–PE/Brasil. Rev. Bras. Climatol., 28, 2847.

    • Search Google Scholar
    • Export Citation
  • Moreira, A. B., R. S. Nóbrega, and V. Dubreuil, 2022: Variações temporais e espaciais da intensidade da ilha de calor urbana na cidade de Recife–PE (Brasil). Rev. Geogr., 12, 84111.

    • Search Google Scholar
    • Export Citation
  • Niu, Y., and Coauthors, 2021: A systematic review of the development and validation of the heat vulnerability index: Major factors, methods, and spatial units. Curr. Climate Change Rep., 7, 8797, https://doi.org/10.1007/s40641-021-00173-3.

    • Search Google Scholar
    • Export Citation
  • Oke, T. R., 1982: The energetic basis of the urban heat island. Quart. J. Roy. Meteor. Soc., 108 (455), 124, https://doi.org/10.1002/qj.49710845502.

    • Search Google Scholar
    • Export Citation
  • Oke, T. R., G. Mills, A. Christen, and J. A. Voogt, 2017: Urban heat island. Urban Climate, T. R. Oke et al., Eds., Cambridge University Press, 197–237, https://doi.org/10.1017/9781139016476.

  • PE3D, 2021: O futuro a gente faz agora (sem data). Accessed 22 July 2021, https://www.apac.pe.gov.br/pe3d.

  • Prosdocimi, D., and K. Klima, 2020: Health effects of heat vulnerability in Rio de Janeiro: A validation model for policy applications. SN Appl. Sci., 2, 1948, https://doi.org/10.1007/s42452-020-03750-7.

    • Search Google Scholar
    • Export Citation
  • Stewart, I. D., 2011: A systematic review and scientific critique of methodology in modern urban heat island literature. Int. J. Climatol., 31, 200217, https://doi.org/10.1002/joc.2141.

    • Search Google Scholar
    • Export Citation
  • Tate, E., 2012: Social vulnerability indices: A comparative assessment using uncertainty and sensitivity analysis. Nat. Hazards, 63, 325347, https://doi.org/10.1007/s11069-012-0152-2.

    • Search Google Scholar
    • Export Citation
  • Tavakol, M., and A. Wetzel, 2020: Factor analysis: A means for theory and instrument development in support of construct validity. Int. J. Med. Educ., 11, 245247, https://doi.org/10.5116/ijme.5f96.0f4a.

    • Search Google Scholar
    • Export Citation
  • Villanueva-Solis, J., 2017: Urban heat island mitigation and urban planning: The case of the Mexicali, B. C. Mexico. Amer. J. Climate Change, 6, 2239, https://doi.org/10.4236/ajcc.2017.61002.

    • Search Google Scholar
    • Export Citation
  • Wanderley, L. S. A., R. S. Nóbrega, A. B. Moreira, R. S. Anjos, and C. A. P. Almeida, 2018: As chuvas na cidade do Recife: Uma climatologia de extremos. Rev. Bras. Climatol., 22, 149164, https://doi.org/10.5380/abclima.v22i0.56034.

    • Search Google Scholar
    • Export Citation
  • Zanella, M. E., and M. d. O. Moura, 2013: O clima das cidades do Nordeste Brasileiro: Contribuições no planejamento e gestão urbana. Rev. Anpege, 9, 7589, https://doi.org/10.5418/RA2013.0911.0007.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 915 915 78
Full Text Views 230 230 5
PDF Downloads 272 272 8