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Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020
Research on urban thermal environments based on thermal comfort can help formulate effective measures to improve urban thermal and human settlement environments, which is of great significance for improving urban quality, urban climate change adaptation, and sustainable development. Taking 344 munic...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105431/ https://www.ncbi.nlm.nih.gov/pubmed/35565078 http://dx.doi.org/10.3390/ijerph19095683 |
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author | Wu, Jiansheng Li, Xuechen Li, Si Liu, Chang Yi, Tengyun Zhao, Yuhao |
author_facet | Wu, Jiansheng Li, Xuechen Li, Si Liu, Chang Yi, Tengyun Zhao, Yuhao |
author_sort | Wu, Jiansheng |
collection | PubMed |
description | Research on urban thermal environments based on thermal comfort can help formulate effective measures to improve urban thermal and human settlement environments, which is of great significance for improving urban quality, urban climate change adaptation, and sustainable development. Taking 344 municipal administrative districts in China as study areas, the Universal Thermal Climate Index (UTCI) of each city in the last 20 years was calculated to evaluate thermal comfort. We then analyzed the thermal comfort and spatiotemporal heterogeneity of each city during a typical heat wave. Finally, the driving forces of the potential socioeconomic, natural, and landscape factors influencing thermal comfort were analyzed using geographic detectors. The results show that the thermal comfort index had similar spatial patterns and differentiation characteristics in different years, and the interannual variation was not obvious. Cities in the typical heat wave period were mainly distributed in East and Northwest China. The driving factor in the contribution rate of the same index in different years was basically the same and was not affected by the change in years, and the highest contribution rate was the natural factor. |
format | Online Article Text |
id | pubmed-9105431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91054312022-05-14 Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 Wu, Jiansheng Li, Xuechen Li, Si Liu, Chang Yi, Tengyun Zhao, Yuhao Int J Environ Res Public Health Article Research on urban thermal environments based on thermal comfort can help formulate effective measures to improve urban thermal and human settlement environments, which is of great significance for improving urban quality, urban climate change adaptation, and sustainable development. Taking 344 municipal administrative districts in China as study areas, the Universal Thermal Climate Index (UTCI) of each city in the last 20 years was calculated to evaluate thermal comfort. We then analyzed the thermal comfort and spatiotemporal heterogeneity of each city during a typical heat wave. Finally, the driving forces of the potential socioeconomic, natural, and landscape factors influencing thermal comfort were analyzed using geographic detectors. The results show that the thermal comfort index had similar spatial patterns and differentiation characteristics in different years, and the interannual variation was not obvious. Cities in the typical heat wave period were mainly distributed in East and Northwest China. The driving factor in the contribution rate of the same index in different years was basically the same and was not affected by the change in years, and the highest contribution rate was the natural factor. MDPI 2022-05-07 /pmc/articles/PMC9105431/ /pubmed/35565078 http://dx.doi.org/10.3390/ijerph19095683 Text en © 2022 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 Wu, Jiansheng Li, Xuechen Li, Si Liu, Chang Yi, Tengyun Zhao, Yuhao Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 |
title | Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 |
title_full | Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 |
title_fullStr | Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 |
title_full_unstemmed | Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 |
title_short | Spatial Heterogeneity and Attribution Analysis of Urban Thermal Comfort in China from 2000 to 2020 |
title_sort | spatial heterogeneity and attribution analysis of urban thermal comfort in china from 2000 to 2020 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105431/ https://www.ncbi.nlm.nih.gov/pubmed/35565078 http://dx.doi.org/10.3390/ijerph19095683 |
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