Urban design factors influencing heat island intensity in high-rise high-density environments of Hong Kong

Giridharan, Renganathan; Lau, Ssy; Ganesan, S.; Givoni, Baruch

doi:10.1016/j.buildenv.2006.09.011

Cited by 219 publications

(138 citation statements)

References 10 publications

Supporting

Mentioning

118

Contrasting

Unclassified

Order By: Relevance

“…The height to floor area ratio is used by Knowles [48] to evaluate the thermal mass of the built environment, and he reported that it could influence UHI intensity. In research conducted in Hong Kong [49], it was found that an increase in height to floor area ratio by 10% would decrease nocturnal UHI by 0.3%. Building setback from the street line, separation between the buildings with long facades and building permeability are found to be significant for improving the pedestrian-level wind environment, which helps to cool the outdoor air in summer [50].…”

Section: Built Form Descriptorsmentioning

confidence: 99%

“…There is no universal standard for the threshold of SVF. In a high-rise, high-density city such as Hong Kong, a given location with an SVF value larger than 0.3 would be considered relatively open space, which apparently differs from European cities [49]. Therefore, suggestions for an optimal SVF range should be made based on research in each specific city.…”

Section: Space Enclosure Descriptorsmentioning

confidence: 99%

“…Yamashita et al [72] reported a clear relationship between air temperature and SVF in several cities in Japan. In a study in Hong Kong, Giridharan et al [49] identified SVF as an important parameter for both daytime and nocturnal UHI. They concluded that increases in SVF by 10% would raise daytime UHI by 2.1%, and decrease nocturnal UHI by 0.3%.…”

Section: Space Enclosure Descriptorsmentioning

confidence: 99%

See 2 more Smart Citations

The Impact of Urban Design Descriptors on Outdoor Thermal Environment: A Literature Review

et al. 2017

View full text Add to dashboard Cite

This paper presents a literature review on urban design indicators addressing the impact of urban geometry and vegetation on the outdoor thermal environment at the pedestrian level, as urban geometry and vegetation have been regarded as the most influential urban design factors that affect outdoor microclimate. The thermal balance concept is first introduced to elaborate how each component of energy fluxes is affected by the urban built environment, which helps to explore the underlying thermophysical mechanisms of how urban design modifies the outdoor thermal environment. The literature on numerous urban design descriptors addressing urban geometric characteristics is categorized into five groups in this paper according to the design features that the parameters entail, including land use intensity, building form, canyon geometry, space enclosure and descriptive characteristics. The literature on urban vegetation descriptors is reviewed together, followed by the combined effect of urban geometry and vegetation. This paper identifies a series of important urban design parameters and shows that the impact of design parameters on thermal environment varies with time, season, local climate and urban contexts. Contradictory impacts often occur between daytime and nighttime, or different seasons, which requests trade-offs to be achieved when proposing design strategies.

show abstract

Section: Built Form Descriptorsmentioning

confidence: 99%

Section: Space Enclosure Descriptorsmentioning

confidence: 99%

Section: Space Enclosure Descriptorsmentioning

confidence: 99%

See 1 more Smart Citation

The Impact of Urban Design Descriptors on Outdoor Thermal Environment: A Literature Review

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Thus, these models may provide useful quantitative information on the roles of the above mentioned parameters in the development and spatial distribution of the UHI (e.g. Oke, 1981;Park, 1986;Kuttler et al, 1996;Unger et al, 2001b;Bottyán et al, 2005;Alcoforado and Andrade, 2006;Giridharan et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…green area ratio, water surface area ratio, built-up ratio, altitude Alcoforado and Andrade (2006) Seasonal mean T e.g. green area ratio, total floor area ratio, sky view factor, surface albedo, proximity to sea, altitude Giridharan et al (2007) …”

Section: Dependent Variable Independent Variable Referencementioning

confidence: 99%

Simulation of the mean urban heat island using 2D surface parameters: empirical modelling, verification and extension

Balázs

Unger

Gál

et al. 2009

Meteorological Applications

View full text Add to dashboard Cite

ABSTRACT:The spatial distribution of the annual mean urban heat island (UHI) intensity was simulated applying empirical models based on datasets from urban areas of Szeged and Debrecen, using simple and easily determinable urban surface cover variables. These two cities are situated on the Alföld (Great Hungarian Plain) and have similar topographic and climatic conditions. Temperature field measurements were carried out, Landsat satellite images were evaluated, and then one-and multiple variable models were constructed using linear regression techniques. The selected multiple-parameter models were verified using independent datasets from three urban settlements. In order to obtain some impression of the mean UHI patterns in other cities with no temperature measurements available, the better model was extended to urban areas of four other cities situated in geographical environments similar to Szeged and Debrecen. The main shortcoming of typical empirical models, namely that they are often restricted to a specific location, is overcome by the obtained model since it is not entirely site but more region specific, and valid in a large and densely populated area with several settlements.

show abstract

Urban heat islands in Hong Kong: Bonding with atmospheric stability

Wang

Chen

et al. 2021

Atmospheric Science Letters

View full text Add to dashboard Cite

A barrier to urban heat island (UHI) mitigation is the lack of quantitative attribution of the various contributions to UHI intensity. This study demonstrates the daily and seasonal dynamics of UHIs in Hong Kong, a subtropical highdensity city. The nocturnal UHIs of the city are grouped according to various dynamic stability conditions (neutral, weak stable, and strong stable) of the boundary layer. Results indicate that the stronger the atmospheric stability, the more intense the UHI. The atmospheric anomalies linked to these stability classifications are hence revealed. In summer, nights of neutral (strong stable) stratification are controlled by low (high) pressure with rising (sinking) motion, less (more) precipitation, and lower (higher) air temperature at the surface. In winter, the influence of the large-scale circulation system of the East Asian winter monsoon is significant. In the upper layer, the East Asian jet stream retreats westward (is displaced northward) on nights with neutral (strong stable) atmospheric stratification. At the surface, southeast China is hot and humid on neutral nights, while on strong stable nights, the coastal regions of southeast China are dry, and East Asia is dominated by positive surface air temperature anomalies. Atmospheric anomalies are generally nonsignificant on nights with weak stable stratification in both summer and winter. These findings provide potential predictors for UHI intensity.

show abstract

Urban design factors influencing heat island intensity in high-rise high-density environments of Hong Kong

Cited by 219 publications

References 10 publications

The Impact of Urban Design Descriptors on Outdoor Thermal Environment: A Literature Review

The Impact of Urban Design Descriptors on Outdoor Thermal Environment: A Literature Review

Simulation of the mean urban heat island using 2D surface parameters: empirical modelling, verification and extension

Urban heat islands in Hong Kong: Bonding with atmospheric stability

Contact Info

Product

Resources

About