Effect of Urban Built-Up Area Expansion on the Urban Heat Islands in Different Seasons in 34 Metropolitan Regions across China

dc.contributor.authorHan, Wenchao
dc.contributor.authorTao, Zhuolin
dc.contributor.authorLi, Zhangqing
dc.contributor.authorChengg, Miaomiao
dc.contributor.authorFan, Hao
dc.contributor.authorCribb, Maureen
dc.contributor.authorWang, Qi
dc.date.accessioned2023-10-17T14:48:14Z
dc.date.available2023-10-17T14:48:14Z
dc.date.issued2022-12-31
dc.description.abstractThe urban heat island (๐‘ˆ๐ป๐ผ) refers to the land surface temperature (LST) difference between urban areas and their undeveloped or underdeveloped surroundings. It is a measure of the thermal influence of the urban built-up area expansion (๐‘ˆ๐ต๐ด๐ธ), a topic that has been extensively studied. However, the impact of ๐‘ˆ๐ต๐ด๐ธ on the LST differences between urban areas and rural areas (๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘…) and between urban areas and emerging urban areas (๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘†) in different seasons has seldom been investigated. Here, the ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘† and ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘… in 34 major metropolitan regions across China, and their spatiotemporal variations based on long-term space-borne observations during the period 2001โ€“2020 were analyzed. The ๐‘ˆ๐ต๐ด๐ธ quantified by the difference in landscape metrics of built-up areas between 2020 and 2000 and their impact on ๐‘ˆ๐ป๐ผ was further analyzed. The ๐‘ˆ๐ต๐ด๐ธ is impacted by the level of economic development and topography. The ๐‘ˆ๐ต๐ด๐ธ of cities located in more developed regions was more significant than that in less developed regions. Coastal cities experienced the most obvious ๐‘ˆ๐ต๐ด๐ธ, followed by plain and hilly cities. The ๐‘ˆ๐ต๐ด๐ธ in mountainous regions was the weakest. On an annual basis, ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘… was larger than ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘†, decreasing more slowly with ๐‘ˆ๐ต๐ด๐ธ than ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘†. In different seasons, the ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘† and ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘… were larger, more clearly varying temporally with ๐‘ˆ๐ต๐ด๐ธ in summer than in winter, and their temporal variations were significantly correlated with ๐‘ˆ๐ต๐ด๐ธ in summer but not in winter. The seasonal difference in ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘… was larger than that of ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘†. Both the ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘† and ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘… in coastal cities were the lowest in summer, decreasing the fastest with ๐‘ˆ๐ต๐ด๐ธ, while those in mountain cities decreased the slowest. The change in the density of built-up lands was the primary driver affecting the temporal variations in ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘† and ๐‘ˆ๐ป๐ผ๐‘ˆโˆ’๐‘… during ๐‘ˆ๐ต๐ด๐ธ, followed by changes in proportion and shape, while the impact of the speed of expansion was the smallest, all of which were more obvious in summer than in winter. The decreased density of built-up lands can reduce ๐‘ˆ๐ป๐ผ. These findings provide a new perspective for a deeper understanding of the effect of urban expansion on LST in different seasons.
dc.description.urihttps://doi.org/10.3390/rs15010248
dc.identifierhttps://doi.org/10.13016/dspace/mw6j-0r8t
dc.identifier.citationHan, W.; Tao, Z.; Li, Z.; Cheng, M.; Fan, H.; Cribb, M.; Wang, Q. Effect of Urban Built-Up Area Expansion on the Urban Heat Islands in Different Seasons in 34 Metropolitan Regions across China. Remote Sens. 2023, 15, 248.
dc.identifier.urihttp://hdl.handle.net/1903/31029
dc.language.isoen_US
dc.publisherMDPI
dc.relation.isAvailableAtCollege of Computer, Mathematical & Natural Sciencesen_us
dc.relation.isAvailableAtGeologyen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.subjecturban built-up area expansion
dc.subjecturban heat island
dc.subjectseasonal difference
dc.subjectspatiotemporal variation
dc.subjecturban landscape patterns
dc.titleEffect of Urban Built-Up Area Expansion on the Urban Heat Islands in Different Seasons in 34 Metropolitan Regions across China
dc.typeArticle
local.equitableAccessSubmissionNo

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