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Spatial-temporal change of land surface temperature across 285 cities in China: An urban-rural contrast perspective

地理 中国 城市气候 城市热岛 农村地区 城市化 自然地理学 环境科学 社会经济学 气象学 经济增长 医学 病理 社会学 经济 考古
作者
Jian Peng,Jing Ma,Qianyuan Liu,Yanxu Liu,Yi’na Hu,Yingru Li,Yuemin Yue
出处
期刊:Science of The Total Environment [Elsevier]
卷期号:635: 487-497 被引量:203
标识
DOI:10.1016/j.scitotenv.2018.04.105
摘要

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.

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