Influence of view factors on intra-urban air temperature and thermal comfort variability in a temperate city

Yan, Hai; Wu, Fan; Nan, Xinge; Han, Qian; Shao, Feng; Bao, Zhiyi

doi:10.1016/j.scitotenv.2022.156720

Cited by 23 publications

(12 citation statements)

References 61 publications

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“…From the experimental results, the correlation between near-surface air temperature and SVF in the city during daytime is roughly positive. In other words, the denser the urban building area, the higher the probability of high temperature around the building area, and these results show a similar trend to the research results of Hai et al [38,39]. In addition, the correlation between daytime SVF and air temperature showed a weak trend of increasing and then decreasing with time series, which may be related to the timing of exposure to direct sunlight and the amount of solar radiation absorbed and released near the buildings during different time periods [40,41].…”

Section: Relationship Between Svf and Air Temperaturesupporting

confidence: 88%

“…It can be seen that the strength of the correlation varies among the local climate zones, indicating that the SVF has different effects on the air temperature in the surrounding area. Furthermore, since the near-surface air temperature in different scenes is affected by many factors such as wind speed and the spatial pattern, while the percentage of impervious surface in each scenario also remains different, the response of the air temperature to the SVF in the scenario varies among scenarios [39].…”

Section: Relationship Between Svf and Air Temperaturementioning

confidence: 99%

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Effects of Sky View Factor on Thermal Environment in Different Local Climate Zoning Building Scenarios—A Case Study of Beijing, China

Wang

Chen

et al. 2023

Buildings

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As an essential structural indicator of buildings, sky view factor (SVF) is one of the most critical factors affecting the urban thermal environment. However, the relationship between SVF and the thermal environment at the neighborhood scale has not been adequately studied. Therefore, this paper investigates the relationship between SVF and air temperature in different building scenarios based on the Local Climate Zone (LCZ) classification framework. Firstly, the study is based on multi-source urban data and the Open Street Map (OSM) to map the local climate zones in Beijing. Then, a simulation model with different LCZs was constructed based on realistic scenarios using the microclimate simulation software ENVI-met, and the thermal environment was simulated in 24 h on a single day in summer. Finally, the SVF and air temperature relationship under different LCZ scenarios was calculated and analyzed. The results show that (1) the SVF values of LCZ 1, LCZ 2, and LCZ 5 show a more apparent positive correlation with air temperature than other categories, and the SVF values of LCZ 6–9 show a negative and then positive correlation with air temperature; (2) in the morning, the dense building areas show a weak correlation with air temperature, and the differences in air temperature corresponding to the SVF values in different zones are greater; (3) in the morning, the air temperature in the dense building areas showed a weak correlation, the difference between the SVF values and the air temperature in different intervals was different, and when the SVF was larger or smaller, the air temperature change was smaller and concentrated, and the correlation between the air temperature and the SVF in the open building areas was not obvious; (4) with 12:00 as the dividing line, the SVF and the air temperature in all categories showed a weak positive correlation after this time. This study can provide guidance on optimizing building layouts and mitigating the impacts of urban heat on human health.

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Section: Relationship Between Svf and Air Temperaturesupporting

confidence: 88%

Section: Relationship Between Svf and Air Temperaturementioning

confidence: 99%

Effects of Sky View Factor on Thermal Environment in Different Local Climate Zoning Building Scenarios—A Case Study of Beijing, China

Wang

Chen

et al. 2023

Buildings

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“…Sensing methods used include remote sensing and field-based assessments. Remote sensing approaches tend to focus on land surface temperature (LST) [87,150] while field-based assessments measure the micrometeorological parameters in-situ [151][152][153][154][155][156][157][158]. Studies have also assessed the role and effect of NbS configurations (i.e., size, shape, and proximity) in cooling urban areas [159,160].…”

Section: Sensing Methodsmentioning

confidence: 99%

Sensing and Measurement Techniques for Evaluation of Nature-Based Solutions: A State-of-the-Art Review

Anderson

Suneja

Dunjić

2023

Land

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Sensing and measurement techniques are necessary to study, evaluate, and understand the complex physical and chemical interactions that must occur for the successful deployment of nature-based solutions (NbS). How NbS are measured can determine which solutions best address local environmental and societal challenges, and how these solutions are prioritized and adopted by decision makers. Sensing and measurement techniques can provide useful meteorological and physiological data on nature-based interventions between different spatial, spectral, temporal, and thematic scales. Because NbS encompass research from across different fields, it is essential to reduce barriers to knowledge dissemination, and enable the circulation of information across different jurisdictions. In this study, a bibliometric and systematic analysis of the literature was undertaken to systemize and categorize sensing and measurement techniques for NbS. Opportunities and challenges associated with studying the effects of NbS have also been identified. Sensing and measurement techniques can provide evidence-based information on the efficacy of NbS, in addition to guiding policy formulation for the achievement of sustainable development across communities.

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“…According to urban morphology, the SVF, and the LCZ in which the point is placed, point 0 is in LCZ D; point 01 is located in an area of LCZ 4; point 2 is in LCZ 1; point 03, point 04 and point 05 are located in an area of LCZ 3; point 6 is in LCZ B; and point 7 is also in LCZ 1. During the cooling period (night), the spots with the smallest SVF present higher temperature data, since these locations hold temperatures better [31].…”

Section: Impact Of Urban Morphologymentioning

confidence: 99%

“…This is also due to the low SVF value, which is the lowest among all collection sites. Among the consequences of a low SVF in an urban environment is the trapping of heat absorbed by urban structures throughout the day in these locations, as indicated by largescale studies [10,14,31,42], even if the heat was transported from other points of the city, due to the closure by the urban canyon, the heat can be trapped in these places, increasing the values and magnitudes of the UHI. During this time period, moderate UFI were discovered [19,20,29].…”

Section: Impact Of Urban Morphologymentioning

confidence: 99%

Local Climate Zones, Sky View Factor and Magnitude of Daytime/Nighttime Urban Heat Islands in Balneário Camboriú, SC, Brazil

Hoppe

Wollmann

Buss

et al. 2022

Climate

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For this study on urban climatology, the study area is the city of Balneário Camboriú, belonging to the Brazilian state of Santa Catarina (SC), located at 26°59′42″ south latitude and 48°37′46″ west longitude. As it is the most vertical city in the entire Southern Hemisphere, Balneário Camboriú was selected as the study area for the development of this climate analysis.. Then, this study was concerned with analyzing the formation of urban heat islands throughout the daytime and nighttime in the city of Balneário Camboriú, Santa Catarina, Brazil, on some days in October 2020, from the perspective of the local climatic zones. Seven fixed sampling points and one official weather station were selected for this research. These points were selected in order to facilitate analysis of the climatic behaviour of the urban area throughout the day, comparing it with the other points, and also to verify possible changes in the local climate in the most diverse types of LCZ. At these same points, the Sky View Factor (SVF) measurements were taken. to elaborate the map of LCZ of Balneário Camboriú, the WUDAPT method was used. There was a great variation of the SVF between the collection points, and different LCZs were mapped, which contributed to the formation of urban heat islands whose maximum magnitude was 10.8 °C and islands with freshnesses of magnitudes of −4.5 °C.

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Influence of view factors on intra-urban air temperature and thermal comfort variability in a temperate city

Cited by 23 publications

References 61 publications

Effects of Sky View Factor on Thermal Environment in Different Local Climate Zoning Building Scenarios—A Case Study of Beijing, China

Effects of Sky View Factor on Thermal Environment in Different Local Climate Zoning Building Scenarios—A Case Study of Beijing, China

Sensing and Measurement Techniques for Evaluation of Nature-Based Solutions: A State-of-the-Art Review

Local Climate Zones, Sky View Factor and Magnitude of Daytime/Nighttime Urban Heat Islands in Balneário Camboriú, SC, Brazil

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