Spatial-Temporal Change Of Land Surface Temperature Across 285 Cities In China: An Urban-Rural Contrast Perspective

Keywords

China; City classification; Cross-city comparison; Land surface temperature; Spatial-temporal change; Urban heat island

Abstract

As an important theme in global climate change and urban sustainable development, the changes of land surface temperature (LST) and surface urban heat island (SUHI) have been more and more focused by urban ecologists. This study used land-use data to identify the urban-rural areas in 285 cities in China and comparatively analyzed LST in urban-rural areas with the perspective of spatial-temporal dynamics heterogeneity. The results showed that, 98.9% of the cities exhibited SUHI effect in summer nighttime and the effect was stronger in northern cities than that in southern cities. In 2010, the mean SUHI intensity was the largest in summer daytime, with 4.6% of the cities having extreme SUHI of over 4 °C. From 2001 to 2010, the nighttime LST of most cities increased more quickly in urban areas compared with rural areas, with an increasing tendency of the urban-rural LST difference. The difference in the urban- rural LST change rate was concentrated in the range of 0–0.1 °C/year for 68.0% of cities in winter and 70.8% of cities in summer. For the higher LST increasing in urban areas compared with rural areas, there were more cities in summer than winter, indicating that the summer nighttime was the key temporal period for SUHI management. Based on the change slope of urban-rural LST, cities were clustered into four types and the vital and major zones for urban thermal environment management were identified in China. The vital zone included cities in Hunan, Hubei and other central rising provinces as well as the Beibu Gulf of Guangxi Province. The major zone included most of the cities in Central Plain Urban Agglomeration, Yangtze River Delta and Pearl River Delta. These results can provide scientific basis for SUHI adaptation in China.

Publication Date

9-1-2018

Publication Title

Science of the Total Environment

Volume

635

Number of Pages

487-497

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.scitotenv.2018.04.105

Socpus ID

85045553906 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85045553906

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