The impact of sky view factor on thermal environments in urban parks in a subtropical coastal city of Australia

Zhang, Jian; Gou, Zhonghua; Lü, Yi; Lin, Pingying

doi:10.1016/j.ufug.2019.126422

Cited by 50 publications

(21 citation statements)

References 38 publications

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“…Therefore, in high SVF areas, the LST tends to decrease compared to the increased reflected radiation, due to the interactions caused by the surrounding buildings. This is inconsistent with the findings of Zhang [23] in that the SVF-LST relationship is linearly and positively correlated.…”

Section: Day-night Variation Of Svf-lst Relationshipcontrasting

confidence: 99%

“…By analyzing the relationship between the spatial distribution of surface temperature and urban morphology, related scholars have shown that the sky view factor has a higher relevance of influence on LST than building density [19]. Quantitative indicators of the three-dimensional form of the building include building height (BH) [20,21], sky view factor (SVF) [22,23], building floor area ratio (FAR) [24], building volume (BV) [25], etc. Where SVF is a dimensionless value ranging from 0 to 1, 0 indicates a completely obscured area, and 1 indicates an open area.…”

Section: Introductionmentioning

confidence: 99%

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The Influence of Sky View Factor on Daytime and Nighttime Urban Land Surface Temperature in Different Spatial-Temporal Scales: A Case Study of Beijing

et al. 2021

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Urban building morphology has a significant impact on the urban thermal environment (UTE). The sky view factor (SVF) is an important structure index of buildings and combines height and density attributes. These factors have impact on the land surface temperature (LST). Thus, it is crucial to analyze the relationship between SVF and LST in different spatial-temporal scales. Therefore, we tried to use a building vector database to calculate the SVF, and we used remote sensing thermal infrared band to retrieve LST. Then, we analyzed the influence between SVF and LST in different spatial and temporal scales, and we analyzed the seasonal variation, day–night variation, and the impact of building height and density of the SVF–LST relationship. We selected the core built-up area of Beijing as the study area and analyzed the SVF–LST relationship in four periods in 2018. The temporal experimental results indicated that LST is higher in the obscured areas than in the open areas at nighttime. In winter, the maximum mean LST is in the open areas. The spatial experimental results indicate that the SVF and LST relationship is different in the low SVF region, with 30 m and 90 m pixel scale in the daytime. This may be the shadow cooling effect around the buildings. In addition, we discussed the effects of building height and shading on the SVF–LST relationship, and the experimental results show that the average shading ratio is the largest at 0.38 in the mid-rise building area in winter.

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Section: Day-night Variation Of Svf-lst Relationshipcontrasting

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Influence of Sky View Factor on Daytime and Nighttime Urban Land Surface Temperature in Different Spatial-Temporal Scales: A Case Study of Beijing

et al. 2021

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“…In another study by Lindberg and Grimmond, 35 the lowest MRT was usually found under tree shades. Zhang et al 36 also found that reducing sky view factor (SVF) by 0.8 in a tree covering area could decrease MRT from approximately 53 to 35 C. Moreover, due to the fact that ParkPET was calculated fundamentally based on ParkMRT, these two indicators show a similar variation. Yang et al 37 found the optimal effects of vegetation coverage on PET through simulating several parks around Taipei.…”

Section: Discussionmentioning

confidence: 95%

Outdoor thermal environments and related planning factors for subtropical urban parks

Jian

Gou

Lü

2019

Indoor and Built Environment

Self Cite

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Tropical or subtropical climates result in considerable heat stress in outdoor environments, which handicaps social activities in public spaces such as urban parks. This study aims to find out the effects of park planning factors on thermal environments. The research measured 18 urban parks around the city of Gold Coast in Australia from January to March 2018 which is the summer time of the Southern Hemisphere. Climate data were collected for each park, based on which park cooling intensity, mean radiant temperature and physiological equivalent temperature were calculated as thermal environment indicators. Meanwhile, park planning factors such as park tree coverage, park size and distance to major water bodies (the sea) were selected for multiple linear regressions with the thermal indicators. Our findings have confirmed that the park planning factors had significant effects on the thermal indicators. The effect of park tree coverage was most significant. This study provides important evidence and guidance for urban planning to create better outdoor thermal environments in parks to facilitate social activities.

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“…It depends on the growing season during a year, too. In addition to shade patterns, the density of the vegetation models the airflow [ 235 , 314 ]. Increasing the greenery density within a green area reduces not only the daily LST [ 171 , 172 ] but also the wind speed [ 235 , 314 ] and the convective cooling effect.…”

Section: Discussion and Urban Design Strategy Recommendationsmentioning

confidence: 99%

“…In addition to shade patterns, the density of the vegetation models the airflow [ 235 , 314 ]. Increasing the greenery density within a green area reduces not only the daily LST [ 171 , 172 ] but also the wind speed [ 235 , 314 ] and the convective cooling effect. Increasing the vegetation patch density reduces temperature [ 190 , 295 ], especially at night [ 150 , 273 ].…”

Section: Discussion and Urban Design Strategy Recommendationsmentioning

confidence: 99%

The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone

Antoszewski

Krzyżaniak

Świerk

2022

IJERPH

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The urban heat island (UHI) effect is the main problem regarding a city’s climate. It is the main adverse effect of urbanization and negatively affects human thermal comfort levels as defined by physiological equivalent temperature (PET) in the urban environment. Blue and green infrastructure (BGI) solutions may mitigate the UHI effect. First, however, it is necessary to understand the problem from the degrading side. The subject of this review is to identify the most essential geometrical, morphological, and topographical parameters of the urbanized environment (UE) and to understand the synergistic relationships between city and nature. A four-stage normative procedure was used, appropriate for systematic reviews of the UHI. First, one climate zone (temperate climate zone C) was limited to unify the design guidelines. As a result of delimitation, 313 scientific articles were obtained (546 rejected). Second, the canonical correlation analysis (CCA) was performed for the obtained data. Finally, our research showed the parameters of the UE facilities, which are necessary to mitigate the UHI effect. Those are building density and urban surface albedo for neighborhood cluster (NH), and distance from the city center, aspect ratio, ground surface albedo, and street orientation for street canyon (SC), as well as building height, material albedo, and building orientation for the building structure (BU). The developed guidelines can form the basis for microclimate design in a temperate climate. The data obtained from the statistical analysis will be used to create the blue-green infrastructure (BGI) dynamic modeling algorithm, which is the main focus of the future series of articles.

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The impact of sky view factor on thermal environments in urban parks in a subtropical coastal city of Australia

Cited by 50 publications

References 38 publications

The Influence of Sky View Factor on Daytime and Nighttime Urban Land Surface Temperature in Different Spatial-Temporal Scales: A Case Study of Beijing

The Influence of Sky View Factor on Daytime and Nighttime Urban Land Surface Temperature in Different Spatial-Temporal Scales: A Case Study of Beijing

Outdoor thermal environments and related planning factors for subtropical urban parks

The Future of Climate-Resilient and Climate-Neutral City in the Temperate Climate Zone

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