Cargando…
Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective
High urban temperatures affect city livability and may be harmful for inhabitants. Analyzing spatial and temporal differences in surface temperature and the thermal impact of urban morphological heterogeneity can promote strategies to improve the insulation of the urban thermal environment. Therefor...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485471/ https://www.ncbi.nlm.nih.gov/pubmed/36148328 http://dx.doi.org/10.3389/fpubh.2022.1001344 |
_version_ | 1784792077937147904 |
---|---|
author | Shi, Zhipeng Yang, Jun Wang, Ling-en Lv, Fang Wang, Guiyang Xiao, Xiangming Xia, Jianhong |
author_facet | Shi, Zhipeng Yang, Jun Wang, Ling-en Lv, Fang Wang, Guiyang Xiao, Xiangming Xia, Jianhong |
author_sort | Shi, Zhipeng |
collection | PubMed |
description | High urban temperatures affect city livability and may be harmful for inhabitants. Analyzing spatial and temporal differences in surface temperature and the thermal impact of urban morphological heterogeneity can promote strategies to improve the insulation of the urban thermal environment. Therefore, we analyzed the diurnal variation of land surface temperature (LST) and seasonal differences in the Fifth Ring Road area of Beijing from the perspective of the Local Climate Zone (LCZ) using latest ECOSTRESS data. We used ECOSTRESS LST data with a resolution of 70 m to accurately interpret the effects of urban morphology on the local climate. The study area was dominated by the LCZ9 type (sparse low-rise buildings) and natural LCZ types, such as LCZA/B (woodland), LCZD (grassland), and LCZG (water body), mainly including park landscapes. There were significant differences in LST observed in different seasons as well as day and night. During daytime, LST was ranked as follows: summer > spring > autumn > winter. During night-time, it was ranked as follows: summer > autumn > spring > winter. All data indicated that the highest and lowest LST was observed in summer and winter, respectively. LST was consistent with LCZ in terms of spatial distribution. Overall, the LST of each LCZ during daytime was higher than that of night-time during different seasons (except winter), and the average LST of each LCZ during the diurnal period in summer was higher than that of other seasons. The LST of each LCZ during daytime in winter was lower than that of the corresponding night-time, which indicates that it is colder in the daytime during winter. The results presented herein can facilitate improved analysis of spatial and temporal differences in surface temperature in urban areas, leading to the development of strategies aimed at improving livability and public health in cities. |
format | Online Article Text |
id | pubmed-9485471 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94854712022-09-21 Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective Shi, Zhipeng Yang, Jun Wang, Ling-en Lv, Fang Wang, Guiyang Xiao, Xiangming Xia, Jianhong Front Public Health Public Health High urban temperatures affect city livability and may be harmful for inhabitants. Analyzing spatial and temporal differences in surface temperature and the thermal impact of urban morphological heterogeneity can promote strategies to improve the insulation of the urban thermal environment. Therefore, we analyzed the diurnal variation of land surface temperature (LST) and seasonal differences in the Fifth Ring Road area of Beijing from the perspective of the Local Climate Zone (LCZ) using latest ECOSTRESS data. We used ECOSTRESS LST data with a resolution of 70 m to accurately interpret the effects of urban morphology on the local climate. The study area was dominated by the LCZ9 type (sparse low-rise buildings) and natural LCZ types, such as LCZA/B (woodland), LCZD (grassland), and LCZG (water body), mainly including park landscapes. There were significant differences in LST observed in different seasons as well as day and night. During daytime, LST was ranked as follows: summer > spring > autumn > winter. During night-time, it was ranked as follows: summer > autumn > spring > winter. All data indicated that the highest and lowest LST was observed in summer and winter, respectively. LST was consistent with LCZ in terms of spatial distribution. Overall, the LST of each LCZ during daytime was higher than that of night-time during different seasons (except winter), and the average LST of each LCZ during the diurnal period in summer was higher than that of other seasons. The LST of each LCZ during daytime in winter was lower than that of the corresponding night-time, which indicates that it is colder in the daytime during winter. The results presented herein can facilitate improved analysis of spatial and temporal differences in surface temperature in urban areas, leading to the development of strategies aimed at improving livability and public health in cities. Frontiers Media S.A. 2022-09-06 /pmc/articles/PMC9485471/ /pubmed/36148328 http://dx.doi.org/10.3389/fpubh.2022.1001344 Text en Copyright © 2022 Shi, Yang, Wang, Lv, Wang, Xiao and Xia. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Shi, Zhipeng Yang, Jun Wang, Ling-en Lv, Fang Wang, Guiyang Xiao, Xiangming Xia, Jianhong Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective |
title | Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective |
title_full | Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective |
title_fullStr | Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective |
title_full_unstemmed | Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective |
title_short | Exploring seasonal diurnal surface temperature variation in cities based on ECOSTRESS data: A local climate zone perspective |
title_sort | exploring seasonal diurnal surface temperature variation in cities based on ecostress data: a local climate zone perspective |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9485471/ https://www.ncbi.nlm.nih.gov/pubmed/36148328 http://dx.doi.org/10.3389/fpubh.2022.1001344 |
work_keys_str_mv | AT shizhipeng exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective AT yangjun exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective AT wanglingen exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective AT lvfang exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective AT wangguiyang exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective AT xiaoxiangming exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective AT xiajianhong exploringseasonaldiurnalsurfacetemperaturevariationincitiesbasedonecostressdataalocalclimatezoneperspective |