A Numerical Approach to Assess the Urban Heat Island Effect and Thermal Discomfort Supported by the WRF/SLUCM Modeling System: A Case Study of Campos dos Goytacazes/RJ (Brazil)

Abstract:

Land use changes can affect the flow of energy in the soil-atmosphere system, impacting the urban heat island (UHI) effect. Since the climate conditions of Campos dos Goytacazes are changing (becoming drier and warmer), the city was chosen as a study area. This research aims to investigate the behavior of surface energy fluxes and their impact on the UHI and discomfort index (DI) by simulating different surface condition scenarios for the warmest day of 2019. The weather research and forecasting model was used to simulate three scenarios: in the first simulation, anthropogenic heat was excluded, and no green roofs were added; in the second simulation, anthropogenic heat was included without green roofs; and in the third simulation, both anthropogenic heat and green roofs were included. The results showed that anthropogenic heat intensifies the UHI and increases the DI. The effect of green roofs covering 50% of the urban area can reduce the nocturnal effects of the UHI caused by anthropogenic heat, but it does not significantly impact the DI.

• Periodical: Defect and Diffusion Forum (Volume 436)
• Pages: 23-39
• DOI: https://doi.org/10.4028/p-D82aHE
• Online since: September 2024
• Authors: Dhiego da Silva Sales*, Renata Silva Barreto Sales, José Carlos Mendonça, Jader Lugon Junior, Hélio Gomes Filho, Luíz de Pinedo Quinto Junior
• Keywords: Air Temperature Modeling, Energy Budget, Heat Transfer, Physical Modeling, Sensible Heat

References

[1] X. Stavropulos-Laffaille, K. Chancibault, H. Andrieu, A. Lemonsu, I. Calmet, P. Keravec, V. Masson, Coupling detailed urban energy and water budgets with TEB-Hydro model: Towards an assessment tool for nature based solution performances, Urban Climate, 39 (2021), 100925.

DOI: 10.1016/j.uclim.2021.100925

[2] A.M.M. Irfeey, H.W. Chau, M.M.F. Sumaiya, C.Y. Wai, N. Muttil, E. Jamei, Sustainable mitigation strategies for urban heat island effects in urban areas. Sustainability, 15 (2023), 10767.

DOI: 10.3390/su151410767

[3] V. Ranieri, S. Coropulis, N. Berloco, V. Fedele, P. Intini, C. Laricchia, P. Colonna, The effect of different road pavement typologies on urban heat island: A case study. Sustainable and Resilient Infrastructure, 7(6) (2022), 803-822.

DOI: 10.1080/23789689.2022.2067951

[4] E.C. Thom, The discomfort index, Weatherwise, 12(2) (1959), 57-61.

[5] M.N. Mistry, A high spatiotemporal resolution global gridded dataset of historical human discomfort indices. Atmosphere, 11(8) (2020), 835.

DOI: 10.3390/atmos11080835

[6] Information on https://portal.inmet.gov.br/normais.

[7] M.C.C.T. Amorim, Ilhas de calor urbanas: métodos e técnicas de análise. RBCLima, 25 (2019), 22-46.

DOI: 10.5380/abclima.v0i0.65136

[8] G. Molnár, A. Kovács, T. Gal, How does anthropogenic heating affect the thermal environment in a medium-sized Central European city? A case study in Szeged, Hungary. Urban Climate, 34 (2020), 100673.

DOI: 10.1016/j.uclim.2020.100673

[9] H. Li, Y. Zhou, X. Wang, X. Zhou, H. Zhang, S. Sodoudi. Quantifying urban heat island intensity and its physical mechanism using WRF/UCM. STOTEN, 650 (2019), 3110-3119.

DOI: 10.1016/j.scitotenv.2018.10.025

[10] H. Takebayashi, M. Senoo, Analysis of the relationship between urban size and heat island intensity using WRF model. Urban climate 24 (2018), 287-298.

DOI: 10.1016/j.uclim.2016.12.003

[11] R.S.B. Sales, D.S. Sales, J.C. Mendonça, Balanço de energia e ilhas de calor no perímetro urbano de Campos dos Goytacazes, RJ: Um estudo de caso. RBGF, 15(06) (2022), 3093-3105.

DOI: 10.26848/rbgf.v15.6.p3093-3105

[12] Information on https://portal.inmet.gov.br/dadoshistoricos.

[13] D. Li, E. Bou-Zeid, Quality and sensitivity of high-resolution numerical simulation of urban heat islands. ERL, 9(5) (2014), 055001.

DOI: 10.1088/1748-9326/9/5/055001

[14] Information on http://www2.mmm.ucar.edu/wrf/users/download/get_sources_wps_geog.html.

[15] National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2015, updated daily. NCEP GFS 0.25 Degree Global Forecast Grids Historical Archive. Research Data Archive at the National Center for Atmospheric Research, CISL.

[16] D.S. Sales, J. Lugon Jr., V.D.P.S. Oliveira, N.S. Ferreira, A.J. Silva Neto, Sensitivity analysis of atmospheric phenomena models for precipitation assessment on the Paraíba do Sul River watershed. CeN, 44, 2022, e55-e55.

DOI: 10.5902/2179460x66757

[17] D.S. Sales, J. Lugon Jr., V.D.P.S. Oliveira, A.J. Silva Neto, Rainfall input from WRF-ARW atmospheric model coupled with MOHID land hydrological model for flow Simulation in the Paraíba do Sul River-Brazil. JUEE, 15(2), 2021.

[18] W.C. Skamarock, J.B. Klemp, J. Dudhia, D.O. Gill, Z. Liu, J. Berner, X.Y. Huang, A description of the advanced research WRF version 4. NCAR tech. note ncar/tn-556 (2019), 145.

[19] H. Kusaka, H. Kondo, Y. Kikegawa, F. Kimura, A simple single-layer urban canopy model for atmospheric models: Comparison with multi-layer and slab models. Boundary-layer meteorology 101 (2001), 329-358.

DOI: 10.1023/a:1019207923078

[20] D. Li, E. Bou-Zeid, Quality and sensitivity of high-resolution numerical simulation of urban heat islands. ERL, 9(5) (2014), 055001.

DOI: 10.1088/1748-9326/9/5/055001

[21] J.C. Teixeira, J. Fallmann, A.C. Carvalho, A. Rocha, Surface to boundary layer coupling in the urban area of Lisbon comparing different urban canopy models in WRF. Urban Climate, 28 (2019), 100454.

DOI: 10.1016/j.uclim.2019.100454

[22] A. Sharma, P. Conry, H.J.S. Fernando, A.F. Hamlet, J.J. Hellmann, F. Chen, Green and cool roofs to mitigate urban heat island effects in the Chicago metropolitan area: Evaluation with a regional climate model. ERL, 11(6) (2016), 064004.

DOI: 10.1088/1748-9326/11/6/064004

[23] D.K. Papanastasiou, D. Melas, H.D. Kambezidis, Air quality and thermal comfort levels under extreme hot weather. Atmospheric Research, 152 (2015), 4-13.

DOI: 10.1016/j.atmosres.2014.06.002

[24] H.M. Imran, J. Kala, A.W.M. Ng, S. Muthukumaran, An evaluation of the performance of a WRF multi-physics ensemble for heatwave events over the city of Melbourne in southeast Australia. Climate Dynamics, 50 (2018), 2553-2586.

DOI: 10.1007/s00382-017-3758-y

[25] A. Rocha, R. Silva, Estudo e Cartografia da Ilha de Calor Urbano para o Clima futuro – Fase 3. Lisboa: Instituto do Ambiente e Desenvolvimento – IDAD (2019), 60 p.

[26] S. Lokesh, N. Kadiwal, R. Chandrashekar, A. Pai, B. Kumar, Heat transfer study of green roof in warm and humid climatic conditions. Materials Today: Proceedings (2023).

DOI: 10.1016/j.matpr.2023.05.010

[27] G. Swamy, S.S. Nagendra, U. Schlink, Urban heat island (UHI) influence on secondary pollutant formation in a tropical humid environment. JA&WMA, 67(10) (2017), 1080-1091.

DOI: 10.1080/10962247.2017.1325417

[28] I.D. Stewart, E.S. Krayenhoff, J.A. Voogt, J.A. Lachapelle, M.A. Allen, A.M. Broadbent, Time evolution of the surface urban heat island. Earth's Future, 9(10) (2021), e2021EF002178.

DOI: 10.1029/2021ef002178

[29] S.E.C. Pitton, O comportamento térmico da cidade de Rio Claro (SP):contribuição ao estudo do clima urbano das cidades tropicais. In: Éncontro de Geógrafos da América Latina, 1991, Toluca -México. Memorial do Encontro de Geógrafos da América Latina. v. II. (1991), pp.327-337.

DOI: 10.54446/bcg.v13i1.3181

[30] A. Rasul, H. Balzter, C. Smith, J. Remedios, B. Adamu, J.A. Sobrino, M. Srivanit, Q. Weng, A review on remote sensing of urban heat and cool islands. Land, 6(2) (2017), 38.

DOI: 10.3390/land6020038

[31] V.S. Marques, R. André, E. Sucharov, F. Pinheiro, Possíveis modificações na classificação climática das regiões norte e noroeste do Estado do Rio de Janeiro. Sistema de Meteorologia do Estado do Rio de Janeiro-SIMERJ (2002).

DOI: 10.21840/siic/159625

[32] F.G. Teixeira, A.F. Leite, Formação de ilhas de calor noturnas na estação de inverno no município de Campos dos Goytacazes (RJ), Confict (2018).