Literature DB >> 29454206

Less sensitive of urban surface to climate variability than rural in Northern China.

Rui Yao1, Lunche Wang2, Xin Huang3, Jiangping Chen4, Jiarui Li1, Zigeng Niu1.   

Abstract

In this study, the relationships between interannual variations of surface urban heat islands (SUHIs) and climate variability were studied in 31 cities of China for the period 2001-2016. For cold and dry Northern China, it was found that the interannual variations of SUHI intensity (SUHII, land surface temperature (LST) in urban minus rural) in urban cores was significantly (p<0.05) and negatively correlated with rural LST in 9 (in summer days (SDs)) and 8 (in winter days (WDs)) of the 15 northern cities, respectively. In addition, the daytime LST differences between hot summers and other summers and between cold winters and other winters were generally lower in urban cores (1.141°C for SDs and 2.535°C for WDs) than in rural areas (1.890°C for SDs and 3.377°C for WDs). The standard deviation was further used to reflect the interannual stabilities of LST, enhanced vegetation index (EVI) and white sky albedo (WSA). Interestingly, the standard deviations of LST across 2001-2016 were generally lower in urban cores (0.994°C for SDs and 1.577°C for WDs) than in rural areas (1.431°C for SDs and 2.077°C for WDs). Similar results were observed for EVI and WSA (winter). The results suggested that the urban surface is less sensitive to climate variability than rural areas in Northern China. Comparatively, most findings were less evident in hot and humid Southern China. Despite the whole world would become warmer or colder in future, the insensitivity of urban surface may mitigate its impacts in cold and dry Northern China. However, it does not mean that urbanization is totally good due to its environmental problem.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  China; Climate variability; Sensitivity; Surface urban heat island

Year:  2018        PMID: 29454206     DOI: 10.1016/j.scitotenv.2018.02.087

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Identifying the Impacts of Climate Change and Human Activities on Vegetation Cover Changes: A Case Study of the Yangtze River Basin, China.

Authors:  Lang Yi; Ying Sun; Xiao Ouyang; Shaohua Yin
Journal:  Int J Environ Res Public Health       Date:  2022-05-20       Impact factor: 4.614

  1 in total

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