Despite the known effects of UHI on building energy consumption, there is currently a lack of generalizable methods to incorporate UHI into building energy simulations (BES) for accurate energy performance evaluation of urban buildings. The absence of generalizable methods is mainly due to the complex and interconnected relationships among the urban built environment, UHI and building energy performance which not only determine the magnitude of UHI intensity, but also its effects on the energy performance of buildings. With the overarching aim of enabling a generalizable UHI-BES integration method, this literature review examines the relationships between urban morphology, UHI and building energy consumption to determine the knowledge gaps that hinder the development of a robust and generalizable integration method. More specifically, this literature review presents a critical analysis of methods and data sources used in the existing literature to (1) derive UHI intensity based on urban built environment attributes, and (2) analyze the effect of calculated UHI intensities on the cooling, heating, and annual energy consumption of buildings. Methods and materials used by various studies are examined given their potentials for generalizability, level of accuracy and application possibility for BES purposes.
Practical applications
This review serves as a practical roadmap of the entire methodology of research focusing on relationship between urban morphology, UHI and building energy performance and may serve as a guideline to building professions who intend to incorporate UHI for more accurate energy analyses. Furthermore, the review identifies the various databases, software programs and methodological options to guide the future research as well as industry practice on the topic.
GaoZHouYChenW. Enhanced sensitivity of the urban heat island effect to summer temperatures induced by urban expansion. Environ Res Lett2019; 14: 094005. DOI: 10.1088/1748-9326/ab2740.
3.
SantamourisMParaponiarisKMihalakakouG. Estimating the ecological footprint of the heat island effect over Athens, Greece. Clim Change2007; 80(3–4): 265–276.
4.
AkbariHPomerantzMTahaH. Cool surfaces and shade trees to reduce energy use and improve air quality in urban areas. Sol Energy2001; 70(3): 295–310.
5.
OkeTR. The energetic basis of the urban heat island. Q J R Meteorol Soc1982; 108(455): 1–24. DOI: 10.1002/qj.49710845502.
6.
PhelanPEKaloushKMinerM, et al.Urban heat island: mechanisms, implications, and possible remedies. Annu Rev Environ Resour2015; 40(1): 285–307.
7.
AbbasMJasonBJeffreyBT. The urban heat island effect, its causes, and mitigation, with reference to the thermal properties of asphalt concrete. J Environ Manag2017; 197: 522–538. DOI: 10.1016/j.jenvman.2017.03.095.
8.
Montaner-FernándezDMorales-SalinasLRodriguezJS, et al.Spatio-temporal variation of the urban heat island in Santiago, Chile during summers 2005–2017. Remote Sens2020; 12(20): 3345. DOI: 10.3390/rs12203345.
9.
LiYSchubertSKroppJP, et al.On the influence of density and morphology on the urban heat island intensity. Nat Commun2020; 11: 2647. DOI: 10.1038/s41467-020-16461-9.
10.
JongtanomYBualertS. Temporal variations of urban heat island intensity in three major cities, Thailand. Mod Appl Sci2011; 5: 105. DOI: 10.5539/mas.v5n5p105.
11.
RizviSHAlamKIqbalMJ. Spatio -temporal variations in urban heat island and its interaction with heat wave. J Atmos Sol Terr Phys2019; 185: 50–57. DOI: 10.1016/j.jastp.2019.02.001.
12.
AneeshMSumitKNiveditaK. Spatial and temporal variations of urban heat island effect and the effect of percentage impervious surface area and elevation on land surface temperature: study of Chandigarh city, India. Sustain Cities Soc2016; 26: 264–277. DOI: 10.1016/j.scs.2016.06.018.
13.
AnniballeRBBonafoniSPichierriM. Spatial and temporal trends of the surface and air heat island over Milan using MODIS data. Rem Sens Environ2014; 150: 163–171. DOI: 10.1016/j.rse.2014.05.005.
14.
SchatzJKucharikCJ. Seasonality of the Urban Heat Island Effect in Madison, Wisconsin. Journal of Applied Meteorology and Climatology. 2014. doi:10.1175/JAMC-D-14-0107.1.
15.
SchatzJKucharikCJ. Seasonality of the urban heat island effect in Madison, Wisconsin. J Appl Meteorol Climatol2014; 53: 2371–2386. DOI: 10.1175/JAMC-D-14-0107.1.
16.
NuruzzamanM. Urban heat island: causes, effects and mitigation measures - a review, Int J Environ Monit Anal2015; 3(2): 67–73. DOI: 10.11648/j.ijema.20150302.15.
17.
HowardL.The Climate of London: Deduced from Meteorological Observations Made in the Metropolis and at Various Places Around It. 2nd ed.. London: Harvey and Darton, 1833.
18.
MassonVLemonsuAHidalgoJ, et al.Urban climates and climate change. Annu Rev Environ Resour2020; 45(1): 411–444. DOI: 10.1146/annurev-environ-012320-083623.
19.
JabbarHKHamoodiMNAl-HameedawiAN. Urban heat islands: a review of contributing factors, effects and data. IOP Conf Ser Earth Environ Sci2023; 1129: 012038. DOI: 10.1088/1755-1315/1129/1/012038.
20.
YangQHuangXLiJ. Assessing the relationship between surface urban heat islands and landscape patterns across climatic zones in China. Sci Rep2017; 7: 9337. DOI: 10.1038/s41598-017-09628-w.
21.
ShahmohamadiPChe-AniAIEtessamI, et al.Healthy environment: the need to mitigate urban heat island effects on human health. Procedia Eng2011; 20: 61–70. DOI: 10.1016/j.proeng.2011.11.139.
22.
PirachaAChaudharyMT. Urban air pollution, urban heat island and human health: a review of the literature. Sustainability2022; 14(15): 9234. DOI: 10.3390/su14159234.
23.
HeavisideCMacintyreHVardoulakisS. The urban heat island: implications for health in a changing environment. Curr Environ Health Rep2017; 4: 296–305. DOI: 10.1007/s40572-017-0150-3.
24.
LiXZhouYYuS, et al.Urban heat island impacts on building energy consumption: a review of approaches and findings. Energy2019; 174: 407–419. DOI: 10.1016/j.energy.2019.02.183.
25.
BacciniMBiggeriAAccettaG, et al.Heat effects on mortality in 15 European cities. Epidemiology2008; 19: 711–719.
26.
BasuR. High ambient temperature and mortality: a review of epi-demiologic studies from 2001 to 2008. Environ Heal A Glob Access Sci2009; 8: 40.
27.
GasparriniAGuoYHashizumeM, et al.Mortality risk attributable to high and low ambient temperature: a multi country observational study. Lancet2015; 386: 369–375.
28.
VardoulakisSDearKHajatS, et al.Comparative assessment of the effects of climate change on heat-and cold-related mortality in the United Kingdom and Australia. Environ Health Perspect2014; 122(12): 1285–1292.
29.
VaidyanathanAMalilayJSchrammP, et al.Heat-related deaths — United States, 2004–2018. MMWR Morb Mortal Wkly Rep2020; 69: 729–734. DOI: 10.15585/mmwr.mm6924a1.
30.
Le TertreALefrancAEilsteinD, et al.Impact of the 2003 heatwave on all-cause mortality in 9 French cities. Epidemiology2005; 17: 75–79.
31.
MitchellDHeavisideCVardoulakisS, et al.Attributing human mortality during extreme heatwaves to anthropogenic climate change. Environ Res Lett2016; 11: 074006.
32.
PonrajMLeeYYDinMFM, et al.Overview of urban heat island (UHI) phenomenon towards human thermal comfort. Environ Eng Manag J2017; 16(9): 2097–2111.
33.
de WildeP. The gap between predicted and measured energy performance of buildings: a framework for investigation. Autom ConStruct2014; 41: 40–49.
34.
FokaidesPMaxoulisCPanayiotouG, et al.Comparison between measured and calculated energy performance for dwellings in a summer dominant environment. Energy Build2011; 43: 3099–3105.
35.
ShiXSiBZhaoJ, et al.Magnitude, causes, and solutions of the performance gap of buildings: a review. Sustainability2019; 11(3): 937. DOI: 10.3390/su11030937.
36.
United Nations Environment ProgrammeGlobal Alliance for Buildings and Construction. 2020global status report for buildings and construction: towards a zero-emissions, efficient and resilient buildings and construction sector - executive summary. [Internet]. 2020. [quote: 2025, April] Available from:https://wedocs.unep.org/20.500.11822/34572
37.
MagliSLodiCLombrosoL, et al.Analysis of the urban heat island effects on building energy consumption, Int J Energy Environ Eng2015; 6: 91–99. DOI: 10.1007/s40095-014-0154-9.
38.
SuMANgarambeJSantamourisM, et al.Empirical evidence on the impact of urban overheating on building cooling and heating energy consumption, iScience2021; 24: 102495. DOI: 10.1016/j.isci.2021.102495.
39.
IgnatiusMWongNHJusufSK. The significance of using local predicted temperature for cooling load simulation in the tropics. Energy Build2016; 118(Supplement C): 57–69.
40.
SinghMSharstonR. Quantifying the dualistic nature of urban heat Island effect (UHI) on building energy consumption. Energy Build2022; 255: 111649. DOI: 10.1016/j.enbuild.2021.111649.
41.
SantamourisMPapanikolaouNLivadaI, et al.On the impact of urban climate on the energy consumption of buildings. Sol Energy2001; 70(3): 201–216. DOI: 10.1016/S0038-092X(00)00095-5.
42.
ChanALS. Developing a modified typical meteorological year weather file for Hong Kong taking into account the urban heat island effect. Build Environ2011; 46(12): 2434–2441. DOI: 10.1016/j.buildenv.2011.04.038.
43.
WatkinsRPalmerJKolokotroniM, et al.The balance of the annual heating and cooling demand within the London urban heat island. Build Serv Eng Technol2002; 23(4): 207–213.
44.
KolokotroniMZhangYWatkinsR. The London heat island and building cooling design, Sol Energy2007; 81: 102–110. DOI: 10.1016/j.solener.2006.06.005.
45.
StreetMReinhartCFNorfordLK, et al.Urban heat island in Boston – an evaluation of urban air-temperature models for predicting building energy use. In: Building simulation conference proceedings, Chambery, France, 25–28 August 2013.
46.
PalmeMInostrozaLVillacresesG, et al.From urban climate to energy consumption. Enhancing building performance simulation by including the urban heat island effect. Energy Build2017; 145: 107–120.
47.
HiranoYFujitaT. Evaluation of the impact of the urban heat island on residential and commercial energy consumption in Tokyo. Energy2012; 37: 371–383. DOI: 10.1016/j.energy.2011.11.018.
48.
LiuYStouffsRTabladaA, et al.Comparing micro-scale weather data to building energy con-sumption in Singapore. Energy Build2017; 152(Supplement C): 776–791.
49.
RadhiHSharplesS. Quantifying the domestic electricity consumption for air-conditioning due to urban heat islands in hot arid regions. Appl Energy2013; 112: 371–380.
50.
SkelhornCPLevermoreGLindleySJ. Impacts on cooling energy consumption due to the UHI and vegetation changes in Manchester, UK. Energy Build2016; 122: 150–159. DOI: 10.1016/j.enbuild.2016.01.035.
51.
Ruey-LungHChuan-YaoLKuo-TsangH. Spatial and temporal analysis of urban heat island and global warming on residential thermal comfort and cooling energy in Taiwan. Energy Build2017; 152: 804–812. DOI: 10.1016/j.enbuild.2016.11.016.
52.
HassidSSantamourisMPapanikolaouN, et al.The effect of the Athens heat island on air conditioning load. Energy Build2000; 32(2): 131–141.
53.
GuattariCEvangelistiLBalarasCA. On the assessment of urban heat island phenomenon and its effects on building energy performance: a case study of Rome (Italy). Energy Build2018; 158: 605–615.
54.
ZinziMCarnieloE. Impact of urban temperatures on energy performance and thermal comfort in residential buildings. The case of Rome, Italy. Energy Build2017; 157: 20–29.
55.
SharmaAConryPFernandoH, et al.Green and cool roofs to mitigate urban heat island effects in the Chicago metropolitan area: evaluation with a regional climate model. Environ Res Lett2016; 11: 064004. DOI: 10.1088/1748-9326/11/6/064004.
56.
MostafaRSimonBTelmaS. The role of green roofs in mitigating Urban Heat Island effects in the metropolitan area of Adelaide, South Australia. Urban For Urban Green2016; 15: 89–102. DOI: 10.1016/j.ufug.2015.11.013.
57.
HosseiniMAkbariH. Effect of cool roofs on commercial buildings energy use in cold climates. Energy Build2015; 114: 143–155. DOI: 10.1016/j.enbuild.2015.05.050.
58.
SaberHHMarefW. Energy performance of cool roofs followed by development of practical design tool. Front Energy Res2019; 7: 122. DOI: 10.3389/fenrg.2019.00122.
59.
YazdaniHBaneshiM. Building energy comparison for dynamic cool roofs and green roofs under various climates. Sol Energy2021; 230: 764–778. DOI: 10.1016/j.solener.2021.10.076.
60.
VirkGJanszAMavrogianniA, et al.Microclimatic effects of green and cool roofs in London and their impacts on energy use for a typical office building. Energy Build2015; 88: 214–228. DOI: 10.1016/j.enbuild.2014.11.039.
61.
SuscaT. Green roofs to reduce building energy use? A review on key structural factors of green roofs and their effects on urban climate. Build Environ2019; 162: 106273. DOI: 10.1016/j.buildenv.2019.106273.
62.
WangXLiHSodoudiS. The effectiveness of cool and green roofs in mitigating urban heat island and improving human thermal comfort. Build Environ2022; 217(2022): 109082. DOI: 10.1016/j.buildenv.109082.
63.
RomanKKO’BrienTAlveyJB, et al.Simulating the effects of cool roof and PCM (phase change materials) based roof to mitigate UHI (urban heat island) in prominent US cities. Energy2016; 96: 103–117. DOI: 10.1016/j.energy.2015.11.082.
64.
YangJMohan KumarDPyrgouA, et al.Green and cool roofs’ urban heat island mitigation potential in tropical climate. Sol Energy2018; 173: 597–609. DOI: 10.1016/j.solener.2018.08.006.
65.
StefanGMohammadHLiuJ, et al.Effect of urban neighborhoods on the performance of building cooling systems. Build Environ2015; 90: 15–29. DOI: 10.1016/j.buildenv.2015.02.037.
66.
LiCZhouJCaoY, et al.Interaction between urban microclimate and electric air-conditioning energy consumption during high temperature season. Appl Energy2014; 117: 149–156.
67.
BuenoBNorfordLHidalgoJ, et al.The urban weather generator. J of Build Perf Sim2012; 6: 269–281.
68.
CrawleyDB. Estimating the impacts of climate change and urbanization on building performance. J of Build Perf Sim2008; 1: 91–115.
69.
SalvatiARouraHCCecereC. Assessing the urban heat island and its energy impact on residential buildings in Mediterranean climate: Barcelona case study. Energy Build2017; 146: 38e54.
70.
CuiYYanDHongT, et al.Temporal and spatial characteristics of the urban heat island in Beijing and the impact on building design and energy performance. Energy2017; 130: 286–297. DOI: 10.1016/j.energy.2017.04.053.
71.
RoxonJUlmFJPellenqRJM. Urban heat island impact on state residential energy cost and CO2 emissions in the United States. Urban Clim2020; 31: 100546. DOI: 10.1016/j.uclim.2019.100546.
72.
SunYAugenbroeG. Urban heat island effect on energy application studies of office buildings. Energy Build2014; 77: 171–179. DOI: 10.1016/j.enbuild.2014.03.055.
73.
MirzaeiPHaghighatF. Approaches to study urban heat island – abilities and limitations. Build Environ2010; 45: 2192–2201. DOI: 10.1016/j.buildenv.2010.04.001.
74.
PyrgouACastaldoVLPiselloAL, et al.Differentiating responses of weather files and local climate change to explain variations in building thermal-energy performance simulations. Sol Energy2017; 153: 224–237. DOI: 10.1016/j.solener.2017.05.040.
75.
BourikasLJamesPABBahajAS, et al.Transforming typical hourly simulation weather data files to represent urban locations by using a 3D urban unit representation with micro-climate simulations. Fut Cities and Environ2016; 2: 7. DOI: 10.1186/s40984-016-0020-4.
76.
YangLLamJCLiuJ, et al.Building energy simulation using multi-years and typical meteorological years in different climates. Energy Convers Manag2008; 49: 113–124. DOI: 10.1016/j.enconman.2007.05.004.
77.
YangLWanKKWLiDHW, et al.A new method to develop typical weather years in different climates for building energy use studies. Energy2011; 36: 6121–6129. DOI: 10.1016/j.energy.2011.07.053.
78.
WangJHuangBFuD, et al.Response of urban heat island to future urban expansion over the Beijing–Tianjin–Hebei metropolitan area. Appl Geogr2016; 70: 26–36. DOI: 10.1016/j.apgeog.2016.02.010.
79.
LiHWolterMWangX, et al.Impact of land cover data on the simulation of urban heat island for Berlin using WRF coupled with bulk approach of Noah-LSM. Theor Appl Climatol2018; 134: 67–81. DOI: 10.1007/s00704-017-2253-z.
80.
BandeLAfshariAAl MasriD, et al.Validation of UWG and ENVI-met models in an Abu Dhabi district, based on site measurements. Sustainability2019; 11(16): 4378. DOI: 10.3390/su11164378.
81.
SzymanowskiMKryzaM. Local regression models for spatial interpolation of urban heat island—an example from Wrocław, SW Poland. Theor Appl Climatol2012; 108: 53–71. DOI: 10.1007/s00704-011-0517-6.
82.
LauraRRJoseSRJoséM, et al.Urban-scale air temperature estimation: development of an empirical model based on mobile transects. Sustain Cities Soc2020; 63: 102471. DOI: 10.1016/j.scs.2020.102471.
83.
SangiorgioVFioritoFSantamourisM. Development of a holistic urban heat island evaluation methodology. Sci Rep2020; 10: 17913. DOI: 10.1038/s41598-020-75018-4.
SalamancaFKrpoAMartilliA, et al.A new building energy model coupled with an urban canopy parameterization for urban climate simulations—part I. Formulation, verification, and sensitivity analysis of the model. Theor Appl Climatol2010; 99: 331–344. DOI: 10.1007/s00704-009-0142-9.
86.
NOAA/Earth System Research Laboratory (ESRL). UrbaNet Mesonet data. Version 1.0. Boulder, CO: UCAR/NCAR - Earth Observing Laboratory. DOI: 10.26023/D5WZ-TV0D-7K05 (2015, Accessed 07 Apr 2023).
87.
KleinTAMGJanetWKonnenGP, et al.Daily dataset of 20th-century surface air temperature and precipitation series for the European climate assessment. Int J Climatol2002; 22: 1441–1453.
88.
KlokEJKlein TankAMG. Updated and extended European dataset of daily climate observations. Int J Climatol2009; 29: 1182–1191.
89.
SmithALottNVoseR. The integrated surface database: recent developments and partnerships. Bull Am Meteorol Soc2011; 92: 704–708.
90.
JinKWangFChenD, et al.A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series. Sci Data2019; 6: 139. DOI: 10.1038/s41597-019-0143-1.
91.
BrandsmaTWoltersD. Measurement and statistical modeling of the urban heat island of the city of Utrecht (The Netherlands). J Appl Meteorol Climatol2012; 51(6): 1046–1060. Retrieved August 13, 2021, from: https://www.jstor.org/stable/26175156.
92.
BechtelBLangkampTBöhnerJ, et al.Classification and modelling of urban micro-climates using multisensoral and multitemporal remote sensing data. ISPRS - Intern Arch of the Photogram, Remote Sensing and Spatial Infor Sci2012; XXXIX-B8: 463–468. DOI: 10.5194/isprsarchives-XXXIX-B8-463-2012.
93.
SchwarzNSchlinkUFranckU, et al.Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators-an application for the city of Leipzig (Germany). Ecol Indic2012; 18: 693–704. DOI: 10.1016/j.ecolind.2012.01.001OI.
94.
LeconteFBouyerJClaverieR, et al.Using local climate zone scheme for UHI assessment: evaluation of the method using mobile measurements. Build Environ2014; 83: 39–49. DOI: 10.1016/j.buildenv.2014.05.005.
95.
KimSWBrownRD. Urban heat island (UHI) variations within a city boundary: a systematic literature review. Renew Sustain Energy Rev2021; 148: 111256. DOI: 10.1016/j.rser.2021.111256.
96.
ToparlarYBlockenBMaiheuB, et al.A review on the CFD analysis of urban microclimate. Renew Sustain Energy Rev2017; 80: 1613–1640. DOI: 10.1016/j.rser.2017.05.248.
97.
AboelataASodoudiS. Evaluating the effect of trees on UHI mitigation and reduction of energy usage in different built up areas in Cairo. Build Environ2019; 168: 106490. DOI: 10.1016/j.buildenv.2019.106490.
CaliceCClementeCSalvatiA, et al.Urban heat island effect on the energy consumption of institutional buildings in Rome. IOP Conf Ser Mater Sci Eng2017; 245: 082015. DOI: 10.1088/1757-899X/245/8/082015.
100.
YangXZhaoLBruseM, et al.An integrated simulation method for building energy performance assessment in urban environments. Energy Build2012; 54: 243–251. DOI: 10.1016/j.enbuild.2012.07.042.
TsokaSTsikaloudakiKTheodosiouT. Coupling a building energy simulation tool with a microclimate model to assess the impact of cool pavements on the building’s energy performance. Application in a dense residential area. Sustainability2019; 11: 2519. DOI: 10.3390/su11092519.
103.
WangLHouHWengJ. Ordinary least squares modelling of urban heat island intensity based on landscape composition and configuration: a comparative study among three megacities along the Yangtze River. Sustain Cities Soc2020; 62: 102381. DOI: 10.1016/j.scs.2020.102381.
104.
YinCYuanMLuY, et al.Effects of urban form on the urban heat island effect based on spatial regression model. Sci Total Environ2018; 634: 696–704. DOI: 10.1016/j.scitotenv.2018.03.350.
105.
IvajnsicDKaligaričMŽibernaI. Geographically weighted regression of the urban heat island of a small city. Appl Geogr2014; 53: 341–353. DOI: 10.1016/j.apgeog.2014.07.001.
106.
MirzaeiP. Recent challenges in modelling of urban heat island. Sustain Cities Soc2015; 19: 200–206. DOI: 10.1016/j.scs.2015.04.001.
107.
HuangLLiJZhaoD, et al.A fieldwork study on the diurnal changes of urban microclimate in four types of ground cover and urban heat island of Nanjing, China. Build Environ2008; 43: 7–17. DOI: 10.1016/j.buildenv.2006.11.025.
108.
MathewAKhandelwalSKaulN. Analysis of diurnal surface temperature variations for the assessment of surface urban heat island effect over Indian cities. Energy Build2017; 159: 271–295. DOI: 10.1016/j.enbuild.2017.10.062.
109.
LuDSchubringJ. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies. Rem Sens Environ2004; 89: 467–483. DOI: 10.1016/j.rse.2003.11.005.
110.
GeorgeXShiHAuchR, et al.The effects of urban land cover dynamics on urban heat Island intensity and temporal trends. GIScience Remote Sens2021; 58(4): 501–515. DOI: 10.1080/15481603.2021.1903282.
111.
CoseoPLarsenL. Accurate characterization of land cover in urban environments: determining the importance of including obscured impervious surfaces in urban heat island models. Atmosphere2019; 10(6): 347. DOI: 10.3390/atmos10060347.
112.
ZiterCDPedersenEJKucharikCJ, et al.Scale-dependent interactions between tree canopy cover and impervious surfaces reduce daytime urban heat during summer. Proc Natl Acad Sci U S A2019; 116: 7575–7580. DOI: 10.1073/pnas.1817561116.
113.
LiDLiaoWRigdenAJ, et al.Urban heat island: aerodynamics or imperviousness?Sci Adv2019; 5: eaau4299. DOI: 10.1126/sciadv.aau4299.
114.
ZhouJChenYWangJ, et al.Maximum nighttime urban heat island (UHI) intensity simulation by integrating remotely sensed data and meteorological observations. IEEE Journal of2011; 4: 138–146. DOI: 10.1109/JSTARS.2010.2070871.
115.
VenterZSChakrabortyTLeeX. Crowdsourced air temperatures contrast satellite measures of the urban heat island and its mechanisms. Sci Adv2021; 7: eabb9569. DOI: 10.1126/sciadv.abb9569.
116.
MoriniETouchaeiAGCastellaniB, et al.The impact of albedo increase to mitigate the urban heat island in Terni (Italy) using the WRF model. Sustainability2016; 8(10): 999. DOI: 10.3390/su8100999.
117.
TouchaeiAGAkbariH. The climate effects of increasing the albedo of roofs in a cold region†. Adv Build Energy Res2013; 7: 186–191. DOI: 10.1080/17512549.2013.865558.
118.
YangJWangZ-HKaloushKE. Environmental impacts of reflective materials: is high albedo a ‘silver bullet’ for mitigating urban heat island?Renew Sustain Energy Rev2015; 47: 830–843. DOI: 10.1016/j.rser.2015.03.092.
119.
DuHWangDWangY, et al.Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta urban agglomeration. Sci Total Environ2016; 571: 461–470. DOI: 10.1016/j.scitotenv.2016.07.012.
120.
RajapakshaSNnachiRCTariqMAUR, et al.An estimation of the anthropogenic heat emissions in Darwin city using urban microclimate simulations. Sustainability2022; 14(9): 5218. DOI: 10.3390/su14095218.
121.
VarquezACGKiyomotoSKhanhDN, et al.Global 1-km present and future hourly anthropogenic heat flux. Sci Data2021; 8: 64. DOI: 10.1038/s41597-021-00850-w.
122.
SkelhornCPLevermoreGLindleySJ. Impacts on cooling energy consumption due to the UHI and vegetation changes in Manchester, UK. Energy Build2016; 122: 150–159.
123.
SyafiiNIIchinoseMWongNH, et al.Experimental study on the influence of urban water body on thermal environment at outdoor scale model. Procedia Eng2016; 169: 191–198. DOI: 10.1016/j.proeng.2016.10.023.
124.
GroverASinghRB. Analysis of urban heat island (UHI) in relation to normalized difference vegetation index (NDVI): a comparative study of Delhi and Mumbai. Environments2015; 2(2): 125–138. DOI: 10.3390/environments2020125.
125.
LiuWJiCJiangX, et al.Relationship between NDVI and the urban heat island effect in Beijing area of China. Proc SPIE2005; 5884: 518–529. DOI: 10.1117/12.628854.
126.
Tamaskani EsfehankalatehANgarambeJYunGY. Influence of tree canopy coverage and leaf area density on urban heat island mitigation. Sustainability2021; 13(13): 7496. DOI: 10.3390/su13137496.
127.
LoughnerCPAllenDJZhangD, et al.Roles of urban tree canopy and buildings in urban heat island effects: parameterization and preliminary results. J Appl Meteorol Climatol2012; 51: 1775–1793. DOI: 10.1175/JAMC-D-11-0228.1.
128.
ChenJJinSDuP. Roles of horizontal and vertical tree canopy structure in mitigating daytime and nighttime urban heat island effects. Int J Appl Earth Obs Geoinf2020; 89: 102060. DOI: 10.1016/j.jag.2020.102060.
129.
BoukhablaMDjamelABouchairA. The effect of urban morphology on urban heat island in the city of Biskra in Algeria. Int J Ambient Energy2013; 34: 740424. DOI: 10.1080/01430750.2012.740424.
130.
AlobaydiDBakarmanMAObeidatB. The impact of urban form configuration on the urban heat island: the case study of Baghdad, Iraq. Procedia Eng2016; 145: 820–827. DOI: 10.1016/j.proeng.2016.04.107.
131.
HuYWhiteMDingW. An urban form experiment on urban heat island effect in high density area. Procedia Eng2016; 169: 166–174. DOI: 10.1016/j.proeng.2016.10.020.
132.
JameiEJameiYRajagopalanP, et al.Effect of built-up ratio on the variation of air temperature in a heritage city. Sustain Cities Soc2014; 14: 280–292. DOI: 10.1016/j.scs.2014.10.001.
133.
LiuLLinYWangL, et al.An integrated local climatic evaluation system for green sustainable eco-city construction: a case study in Shenzhen, China. Build Environ2016; 114: 82–95. DOI: 10.1016/j.buildenv.2016.12.018.
134.
RyuY-HBaikJ-J. Quantitative analysis of factors contributing to urban heat island intensity. J Appl Meteorol Climatol2012; 51: 842–854. DOI: 10.1175/JAMC-D-11-098.1.
135.
TheeuwesNESteeneveldG-JRondaRJ, et al.A diagnostic equation for the daily maximum urban heat island effect for cities in northwestern Europe. Int J Climatol2017; 37: 443–454. DOI: 10.1002/joc.4717.
136.
HofmannPKruegerOSchlünzenH. A statistical model for the urban heat island and its application to a climate change scenario. Int J Climatol2012; 32: 1238–1248.
137.
XiZSteeneveldG-JZhouD, et al.A diagnostic equation for the maximum urban heat island effect of a typical Chinese city: a case study for Xi’an. Build Environ2019; 158: 39–50. DOI: 10.1016/j.buildenv.2019.05.004.
138.
SoltaniASharifiE. Daily variation of urban heat island effect and its correlations to urban greenery: a case study of Adelaide. Frontiers of Architectural Research2017; 6: 529–538. DOI: 10.1016/j.foar.2017.08.001.
139.
AlvesELopesA. The urban heat island effect and the role of vegetation to address the negative impacts of local climate changes in a small Brazilian city. Atmosphere2017; 8: 1–14. DOI: 10.3390/atmos8020018.
140.
TongSWongNHJusufSK, et al.Study on correlation between air temperature and urban morphology parameters in built environment in northern China. Build Environ2017; 127: 239–249. DOI: 10.1016/j.buildenv.2017.11.013.
141.
RenZWangXChenD, et al.Constructing weather data for building simulation considering urban heat island. Build Serv Eng Technol2014; 35(1): 69–82.
