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Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone

Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing’s Inner Ring...

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Autores principales: Wang, Xinyue, Li, Zhengrui, Ding, Shuangxin, Sun, Xiufeng, Qin, Hua, Ji, Jianwan, Zhang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967618/
https://www.ncbi.nlm.nih.gov/pubmed/36833988
http://dx.doi.org/10.3390/ijerph20043294
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author Wang, Xinyue
Li, Zhengrui
Ding, Shuangxin
Sun, Xiufeng
Qin, Hua
Ji, Jianwan
Zhang, Rui
author_facet Wang, Xinyue
Li, Zhengrui
Ding, Shuangxin
Sun, Xiufeng
Qin, Hua
Ji, Jianwan
Zhang, Rui
author_sort Wang, Xinyue
collection PubMed
description Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing’s Inner Ring region was selected as a case to assess the relationship between SGR and LST. Firstly, the LST was retrieved based on Landsat 8 imagery, which was calibrated by the atmospheric correction method; next, the street-greenery rates of different streets were calculated based on the semantic segmentation method; finally, street types were classified in detail by introducing LCZ, and the relationship between SGR and LST was investigated. The results showed that: (1) The LST spatial distribution pattern was closely related to human activity, with the high-temperature zones mainly concentrated in the core commercial areas, dense residential areas, and industrial cluster areas; (2) The average SGR values of expressways, main trunk roads, secondary trunk roads, and branch roads were 21.70%, 22.40%, 24.60%, and 26.70%, respectively. The level of SGR will decrease when the street width increases; (3) There is a negative correlation between the SGR and the LST in most streets. Among them, the LST of secondary trunk roads in low-rise and low-density built-up areas with a south-north orientation had a strong negative correlation with the SGR. Moreover, the wider the street, the higher the cooling efficiency of plants. Specifically, the LST of streets in low-rise and low-density built-up areas with south-north orientation may decrease by 1°C when the street-greenery rate is increased by 3.57%.
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spelling pubmed-99676182023-02-27 Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone Wang, Xinyue Li, Zhengrui Ding, Shuangxin Sun, Xiufeng Qin, Hua Ji, Jianwan Zhang, Rui Int J Environ Res Public Health Article Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing’s Inner Ring region was selected as a case to assess the relationship between SGR and LST. Firstly, the LST was retrieved based on Landsat 8 imagery, which was calibrated by the atmospheric correction method; next, the street-greenery rates of different streets were calculated based on the semantic segmentation method; finally, street types were classified in detail by introducing LCZ, and the relationship between SGR and LST was investigated. The results showed that: (1) The LST spatial distribution pattern was closely related to human activity, with the high-temperature zones mainly concentrated in the core commercial areas, dense residential areas, and industrial cluster areas; (2) The average SGR values of expressways, main trunk roads, secondary trunk roads, and branch roads were 21.70%, 22.40%, 24.60%, and 26.70%, respectively. The level of SGR will decrease when the street width increases; (3) There is a negative correlation between the SGR and the LST in most streets. Among them, the LST of secondary trunk roads in low-rise and low-density built-up areas with a south-north orientation had a strong negative correlation with the SGR. Moreover, the wider the street, the higher the cooling efficiency of plants. Specifically, the LST of streets in low-rise and low-density built-up areas with south-north orientation may decrease by 1°C when the street-greenery rate is increased by 3.57%. MDPI 2023-02-13 /pmc/articles/PMC9967618/ /pubmed/36833988 http://dx.doi.org/10.3390/ijerph20043294 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Xinyue
Li, Zhengrui
Ding, Shuangxin
Sun, Xiufeng
Qin, Hua
Ji, Jianwan
Zhang, Rui
Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone
title Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone
title_full Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone
title_fullStr Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone
title_full_unstemmed Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone
title_short Study on the Relationship between Urban Street-Greenery Rate and Land Surface Temperature Considering Local Climate Zone
title_sort study on the relationship between urban street-greenery rate and land surface temperature considering local climate zone
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967618/
https://www.ncbi.nlm.nih.gov/pubmed/36833988
http://dx.doi.org/10.3390/ijerph20043294
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