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Study on the influence of urban tree canopy on thermal environment in Luoping County
Urban forest is an integral part of the complex urban ecosystem, and tree canopy plays a key role in improving urban climatic environment. Urban Tree Canopy (UTC) is strongly linked to urban thermal environment and living quality of residents. In this study, Luoping County, a mountainous county in s...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432545/ https://www.ncbi.nlm.nih.gov/pubmed/37587234 http://dx.doi.org/10.1038/s41598-023-40449-2 |
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author | Dai, Ji-ping Qin, Ji-zheng Zhou, Tianyu Qin, Xiao-jian Zhu, Kun Peng, Jian-song |
author_facet | Dai, Ji-ping Qin, Ji-zheng Zhou, Tianyu Qin, Xiao-jian Zhu, Kun Peng, Jian-song |
author_sort | Dai, Ji-ping |
collection | PubMed |
description | Urban forest is an integral part of the complex urban ecosystem, and tree canopy plays a key role in improving urban climatic environment. Urban Tree Canopy (UTC) is strongly linked to urban thermal environment and living quality of residents. In this study, Luoping County, a mountainous county in southwest China, was selected as the study area to uncover the inner connections between tree canopy and thermal environment, and provide relevant scientific references for the construction of livable forest cities in similar areas. Through eCongnition Developer, ENVI and ArcGIS software, the distribution of Land Surface Temperature (LST) and land cover types in the study area was extracted, 63 patches with super-large and extra-large tree canopy coverage selected, to explore the regulatory effect of UTC patches on urban thermal environment based on SPSS software. Results showed that the highest LST in the research area was 37.63 ℃, the lowest 24.73 ℃, and the average 30.83 ℃. Among the land cover types, the area of buildings and impervious surfaces was 1615.71 hm(2), accounting for 55.76% of the total study area, which was the largest proportion and with widespread distribution; the area of grassland and water body was 57.48 hm(2) and 12.35 hm(2), respectively, taking up 1.98% and 0.43%, with a smaller proportion. Mean LST: impervious surface > bare land > grassland > tree canopy > water body. By increasing the area and perimeter of the patch covered by tree canopy, the cooling rate of the patch can be increased while the temperature inside the patch can be reduced. The relationship between the area and cooling rate is closer than that between perimeter and cooling rate. The increase of perimeter has a stronger alleviation effect on the internal temperature of the patch, whereas, the increase of area has a weaker effect in this respect. |
format | Online Article Text |
id | pubmed-10432545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-104325452023-08-18 Study on the influence of urban tree canopy on thermal environment in Luoping County Dai, Ji-ping Qin, Ji-zheng Zhou, Tianyu Qin, Xiao-jian Zhu, Kun Peng, Jian-song Sci Rep Article Urban forest is an integral part of the complex urban ecosystem, and tree canopy plays a key role in improving urban climatic environment. Urban Tree Canopy (UTC) is strongly linked to urban thermal environment and living quality of residents. In this study, Luoping County, a mountainous county in southwest China, was selected as the study area to uncover the inner connections between tree canopy and thermal environment, and provide relevant scientific references for the construction of livable forest cities in similar areas. Through eCongnition Developer, ENVI and ArcGIS software, the distribution of Land Surface Temperature (LST) and land cover types in the study area was extracted, 63 patches with super-large and extra-large tree canopy coverage selected, to explore the regulatory effect of UTC patches on urban thermal environment based on SPSS software. Results showed that the highest LST in the research area was 37.63 ℃, the lowest 24.73 ℃, and the average 30.83 ℃. Among the land cover types, the area of buildings and impervious surfaces was 1615.71 hm(2), accounting for 55.76% of the total study area, which was the largest proportion and with widespread distribution; the area of grassland and water body was 57.48 hm(2) and 12.35 hm(2), respectively, taking up 1.98% and 0.43%, with a smaller proportion. Mean LST: impervious surface > bare land > grassland > tree canopy > water body. By increasing the area and perimeter of the patch covered by tree canopy, the cooling rate of the patch can be increased while the temperature inside the patch can be reduced. The relationship between the area and cooling rate is closer than that between perimeter and cooling rate. The increase of perimeter has a stronger alleviation effect on the internal temperature of the patch, whereas, the increase of area has a weaker effect in this respect. Nature Publishing Group UK 2023-08-16 /pmc/articles/PMC10432545/ /pubmed/37587234 http://dx.doi.org/10.1038/s41598-023-40449-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Dai, Ji-ping Qin, Ji-zheng Zhou, Tianyu Qin, Xiao-jian Zhu, Kun Peng, Jian-song Study on the influence of urban tree canopy on thermal environment in Luoping County |
title | Study on the influence of urban tree canopy on thermal environment in Luoping County |
title_full | Study on the influence of urban tree canopy on thermal environment in Luoping County |
title_fullStr | Study on the influence of urban tree canopy on thermal environment in Luoping County |
title_full_unstemmed | Study on the influence of urban tree canopy on thermal environment in Luoping County |
title_short | Study on the influence of urban tree canopy on thermal environment in Luoping County |
title_sort | study on the influence of urban tree canopy on thermal environment in luoping county |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10432545/ https://www.ncbi.nlm.nih.gov/pubmed/37587234 http://dx.doi.org/10.1038/s41598-023-40449-2 |
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