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The impact of building height on urban thermal environment in summer: A case study of Chinese megacities

The quantitative relationship between the spatial variation of building’s height and the associated land surface temperature (LST) change in six Chinese megacities is investigated in this paper. The six cities involved are Beijing, Shanghai, Tianjin, Chongqing, Guangzhou, and Shenzhen. Based on both...

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Autores principales: Wang, Meiya, Xu, Hanqiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062157/
https://www.ncbi.nlm.nih.gov/pubmed/33887759
http://dx.doi.org/10.1371/journal.pone.0247786
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author Wang, Meiya
Xu, Hanqiu
author_facet Wang, Meiya
Xu, Hanqiu
author_sort Wang, Meiya
collection PubMed
description The quantitative relationship between the spatial variation of building’s height and the associated land surface temperature (LST) change in six Chinese megacities is investigated in this paper. The six cities involved are Beijing, Shanghai, Tianjin, Chongqing, Guangzhou, and Shenzhen. Based on both remote sensing and building footprint data, we retrieved the LST using a single-channel (SC) algorithm and evaluate the heating/cooling effect caused by building-height difference via correlation analysis. The results show that the spatial distribution of high-rise buildings is mainly concentrated in the center business districts, riverside zones, and newly built-up areas of the six megacities. In the urban area, the number and the floor-area ratio of high to super high-rise buildings (>24m) account for over 5% and 4.74%, respectively. Being highly urbanized cities, most of urban areas in the six megacities are associated with high LST. Ninety-nine percent of the city areas of Shanghai, Beijing, Chongqing, Guangzhou, Shenzhen, and Tianjin are covered by the LST in the range of 30.2~67.8°C, 34.8~50.4°C, 25.3~48.3°C, 29.9~47.2°C, 27.4~43.4°C, and 33.0~48.0°C, respectively. Building’s height and LST have a negative logarithmic correlation with the correlation coefficients ranging from -0.701 to -0.853. In the building’s height within range of 0~66m, the LST will decrease significantly with the increase of building’s height. This indicates that the increase of building’s height will bring a significant cooling effect in this height range. When the building’s height exceeds 66m, its effect on LST will be greatly weakened. This is due to the influence of building shadows, local wind disturbances, and the layout of buildings.
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spelling pubmed-80621572021-05-04 The impact of building height on urban thermal environment in summer: A case study of Chinese megacities Wang, Meiya Xu, Hanqiu PLoS One Research Article The quantitative relationship between the spatial variation of building’s height and the associated land surface temperature (LST) change in six Chinese megacities is investigated in this paper. The six cities involved are Beijing, Shanghai, Tianjin, Chongqing, Guangzhou, and Shenzhen. Based on both remote sensing and building footprint data, we retrieved the LST using a single-channel (SC) algorithm and evaluate the heating/cooling effect caused by building-height difference via correlation analysis. The results show that the spatial distribution of high-rise buildings is mainly concentrated in the center business districts, riverside zones, and newly built-up areas of the six megacities. In the urban area, the number and the floor-area ratio of high to super high-rise buildings (>24m) account for over 5% and 4.74%, respectively. Being highly urbanized cities, most of urban areas in the six megacities are associated with high LST. Ninety-nine percent of the city areas of Shanghai, Beijing, Chongqing, Guangzhou, Shenzhen, and Tianjin are covered by the LST in the range of 30.2~67.8°C, 34.8~50.4°C, 25.3~48.3°C, 29.9~47.2°C, 27.4~43.4°C, and 33.0~48.0°C, respectively. Building’s height and LST have a negative logarithmic correlation with the correlation coefficients ranging from -0.701 to -0.853. In the building’s height within range of 0~66m, the LST will decrease significantly with the increase of building’s height. This indicates that the increase of building’s height will bring a significant cooling effect in this height range. When the building’s height exceeds 66m, its effect on LST will be greatly weakened. This is due to the influence of building shadows, local wind disturbances, and the layout of buildings. Public Library of Science 2021-04-22 /pmc/articles/PMC8062157/ /pubmed/33887759 http://dx.doi.org/10.1371/journal.pone.0247786 Text en © 2021 Wang, Xu https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Meiya
Xu, Hanqiu
The impact of building height on urban thermal environment in summer: A case study of Chinese megacities
title The impact of building height on urban thermal environment in summer: A case study of Chinese megacities
title_full The impact of building height on urban thermal environment in summer: A case study of Chinese megacities
title_fullStr The impact of building height on urban thermal environment in summer: A case study of Chinese megacities
title_full_unstemmed The impact of building height on urban thermal environment in summer: A case study of Chinese megacities
title_short The impact of building height on urban thermal environment in summer: A case study of Chinese megacities
title_sort impact of building height on urban thermal environment in summer: a case study of chinese megacities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8062157/
https://www.ncbi.nlm.nih.gov/pubmed/33887759
http://dx.doi.org/10.1371/journal.pone.0247786
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