Urban heat island mitigation strategies: A state-of-the-art review on Kuala Lumpur, Singapore and Hong Kong

Research on urban heat mitigation has been growing in recent years with many of the studies focusing on green infrastructure (GI) as a strategy to mitigate the adverse effects of an urban heat island (UHI). This paper aims at presenting a review of the range of findings from GI research for urban heat mitigation through a review of scientific articles published during the years 2009–2020. This research includes a review of the different types of GI and its contribution for urban heat mitigation and human thermal comfort. In addition to analysing different mitigation strategies, numerical simulation tools that are commonly used are also reviewed. It is seen that ENVI-met is one of the modelling tools that is considered as a reliable to simulate different mitigation strategies and hence has been widely used in the recent past. Considering its popularity in urban microclimate studies, this article also provides a review of ENVI-met simulation results that were reported in the reviewed papers. It was observed that the majority of the research was conducted on a limited spatial scale and focused on temperature and human thermal comfort.

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Mitigating the Urban Heat Island Effect in Megacity Tehran

Advances in Meteorology ◽

10.1155/2014/547974 ◽

2014 ◽

Vol 2014 ◽

pp. 1-19 ◽

Cited By ~ 35

Author(s):

Sahar Sodoudi ◽

Parisa Shahmohamadi ◽

Ken Vollack ◽

Ulrich Cubasch ◽

A. I. Che-Ani

Keyword(s):

Urban Heat Island ◽

Rural Areas ◽

Heat Waves ◽

Mitigation Strategies ◽

Cooling Effect ◽

Heat Island ◽

Microscale Model ◽

Negative Effect ◽

Urban Heat ◽

Surrounding Areas

Cities demonstrate higher nocturnal temperatures than surrounding rural areas, which is called “urban heat island” (UHI) effect. Climate change projections also indicate increase in the frequency and intensity of heat waves, which will intensify the UHI effect. As megacity Tehran is affected by severe heatwaves in summer, this study investigates its UHI characteristics and suggests some feasible mitigation strategies in order to reduce the air temperature and save energy. Temperature monitoring in Tehran shows clear evidence of the occurrence of the UHI effect, with a peak in July, where the urban area is circa 6 K warmer than the surrounding areas. The mobile measurements show a park cool island of 6-7 K in 2 central parks, which is also confirmed by satellite images. The effectiveness of three UHI mitigation strategies high albedo material (HAM), greenery on the surface and on the roofs (VEG), and a combination of them (HYBRID) has been studied using simulation with the microscale model ENVI-met. All three strategies show higher cooling effect in the daytime. The average nocturnal cooling effect of VEG and HYBRID (0.92, 1.10 K) is much higher than HAM (0.16 K), although high-density trees show a negative effect on nocturnal cooling.

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LOCAL CLIMATE CHANGE AND URBAN HEAT ISLAND MITIGATION TECHNIQUES – THE STATE OF THE ART

Journal of Civil Engineering and Management ◽

10.3846/13923730.2015.1111934 ◽

2015 ◽

Vol 22 (1) ◽

pp. 1-16 ◽

Cited By ~ 148

Author(s):

Hashem Akbari ◽

Constantinos Cartalis ◽

Denia Kolokotsa ◽

Alberto Muscio ◽

Anna Laura Pisello ◽

...

Keyword(s):

Climate Change ◽

Urban Heat Island ◽

State Of The Art ◽

Ambient Air ◽

The State ◽

Heat Island ◽

Local Climate ◽

Local Climate Change ◽

Urban Heat ◽

Mitigation Techniques

Increase of the ambient air temperature in cities caused by the urban heat island phenomenon has a seri- ous impact on the economic and social system of cities. to counterbalance the consequences of the increased urban temperatures important research has been carried out resulting in the development of efficient mitigation technologies. the present paper aims to present the state of the art in terms of local climate change and urban heat island mitigation techniques. In particular, developments in the field on highly reflective materials, cool and green roofs, cool pavements, urban green and of other mitigation technologies are presented in detail, while examples of implemented projects are given.

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Urban heat island intensity and its mitigation strategies in the fast-growing urban area

Journal of Urban Management ◽

10.1016/j.jum.2019.09.004 ◽

2020 ◽

Vol 9 (1) ◽

pp. 54-66 ◽

Cited By ~ 1

Author(s):

Shweta Jain ◽

Srikanta Sannigrahi ◽

Somnath Sen ◽

Sandeep Bhatt ◽

Suman Chakraborti ◽

...

Keyword(s):

Urban Heat Island ◽

Urban Area ◽

Mitigation Strategies ◽

Urban Heat Island Intensity ◽

Heat Island ◽

Fast Growing ◽

Urban Heat

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Modeling nexus of urban heat island mitigation strategies with electricity/power usage and consumer costs: a case study for Phoenix, Arizona, USA

Theoretical and Applied Climatology ◽

10.1007/s00704-016-1985-5 ◽

2016 ◽

Vol 131 (1-2) ◽

pp. 661-669 ◽

Cited By ~ 2

Author(s):

Humberto Silva ◽

Baron S. Fillpot

Keyword(s):

Urban Heat Island ◽

Mitigation Strategies ◽

Heat Island ◽

Electricity Power ◽

Urban Heat

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Spatial Superposition Method via Model Coupling for Urban Heat Island Albedo Mitigation Strategies

Journal of Applied Meteorology and Climatology ◽

10.1175/jamc-d-11-064.1 ◽

2012 ◽

Vol 51 (11) ◽

pp. 1971-1979 ◽

Cited By ~ 2

Author(s):

Humberto Silva ◽

Jay S. Golden

Keyword(s):

Urban Heat Island ◽

Mesoscale Model ◽

Coupled Model ◽

Mitigation Strategies ◽

Turbulence Theory ◽

Superposition Method ◽

Heat Island ◽

Lumped Model ◽

Hourly Temperature ◽

Urban Heat

AbstractA spatial superposition design is presented that couples the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) with the National Center of Excellence (NCE) lumped urban thermal model for application to the city of Phoenix, Arizona. This technique utilizes an approach similar to Reynolds decomposition from turbulence theory. The presented decomposition takes the NCE model prediction from a mitigated strategy as the mean temperature and the difference between the NCE and MM5 predictions without mitigation strategy as the perturbed temperature. The goal of this coupled model is to provide spatial variability when simulating mitigation strategies for the urban heat island effect, as compared with the spatially invariant lumped model. A validation analysis was performed incorporating a maximum 35% change from the baseline albedo value for the urban environment. It is shown that the coupled model differs by up to 0.39°C with comparable average surface temperature predictions from MM5. The coupled model was also used to perform analysis of three different albedo-driven spatial mitigation schemes. This resulted in the identification that having a lesser number of mitigated points on a square urban grid in Phoenix with the same average albedo leads to a greater reduction in average hourly temperature.

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