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Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China
The cooling effects of blue–green spaces on the urban heat island effect are complex and different. The purpose of this study is to simulate how the cooling effect of blue–green space changes with its size and shape. The cooling effects of 53 green patches and 28 water bodies in Changsha were extrac...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916382/ https://www.ncbi.nlm.nih.gov/pubmed/36767979 http://dx.doi.org/10.3390/ijerph20032613 |
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author | Qiu, Xinyi Kil, Sung-Ho Jo, Hyun-Kil Park, Chan Song, Wonkyong Choi, Yun Eui |
author_facet | Qiu, Xinyi Kil, Sung-Ho Jo, Hyun-Kil Park, Chan Song, Wonkyong Choi, Yun Eui |
author_sort | Qiu, Xinyi |
collection | PubMed |
description | The cooling effects of blue–green spaces on the urban heat island effect are complex and different. The purpose of this study is to simulate how the cooling effect of blue–green space changes with its size and shape. The cooling effects of 53 green patches and 28 water bodies in Changsha were extracted based on Landsat images. A surface fitting model was used to quantitatively reveal the relationship between the cooling effect of blue–green space and its size and shape. The results show that the cooling effects of blue–green spaces were enhanced with the increasing size, and then would become stable after a certain range (threshold). Certain thresholds were identified between the blue and green space areas (2.98 ha and 3.15 ha, respectively) and the cooling distance, and between the blue and green space areas (4.84 ha and 4.92 ha, respectively) and the cooling magnitude. In addition, the green space with an area of 9.08 ha and landscape shape index (LSI) of 2.97 could achieve a better cooling distance (413.46 m); and the blue space with an area of 29.4 ha and LSI of 1.75 could achieve a better cooling magnitude (5.17 °C). These findings provide useful guidelines for urban planning and improving urban livability in other regions with terrain and climate conditions similar to Changsha. |
format | Online Article Text |
id | pubmed-9916382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99163822023-02-11 Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China Qiu, Xinyi Kil, Sung-Ho Jo, Hyun-Kil Park, Chan Song, Wonkyong Choi, Yun Eui Int J Environ Res Public Health Article The cooling effects of blue–green spaces on the urban heat island effect are complex and different. The purpose of this study is to simulate how the cooling effect of blue–green space changes with its size and shape. The cooling effects of 53 green patches and 28 water bodies in Changsha were extracted based on Landsat images. A surface fitting model was used to quantitatively reveal the relationship between the cooling effect of blue–green space and its size and shape. The results show that the cooling effects of blue–green spaces were enhanced with the increasing size, and then would become stable after a certain range (threshold). Certain thresholds were identified between the blue and green space areas (2.98 ha and 3.15 ha, respectively) and the cooling distance, and between the blue and green space areas (4.84 ha and 4.92 ha, respectively) and the cooling magnitude. In addition, the green space with an area of 9.08 ha and landscape shape index (LSI) of 2.97 could achieve a better cooling distance (413.46 m); and the blue space with an area of 29.4 ha and LSI of 1.75 could achieve a better cooling magnitude (5.17 °C). These findings provide useful guidelines for urban planning and improving urban livability in other regions with terrain and climate conditions similar to Changsha. MDPI 2023-02-01 /pmc/articles/PMC9916382/ /pubmed/36767979 http://dx.doi.org/10.3390/ijerph20032613 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 Qiu, Xinyi Kil, Sung-Ho Jo, Hyun-Kil Park, Chan Song, Wonkyong Choi, Yun Eui Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China |
title | Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China |
title_full | Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China |
title_fullStr | Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China |
title_full_unstemmed | Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China |
title_short | Cooling Effect of Urban Blue and Green Spaces: A Case Study of Changsha, China |
title_sort | cooling effect of urban blue and green spaces: a case study of changsha, china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9916382/ https://www.ncbi.nlm.nih.gov/pubmed/36767979 http://dx.doi.org/10.3390/ijerph20032613 |
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