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author:

Wang, Meiya (Wang, Meiya.) [1] | Xu, Hanqiu (Xu, Hanqiu.) [2] (Scholars:徐涵秋) | Li, Xia (Li, Xia.) [3] | Lin, Zhongli (Lin, Zhongli.) [4] | Zhang, Bobo (Zhang, Bobo.) [5] | Fu, Wei (Fu, Wei.) [6] | Tang, Fei (Tang, Fei.) [7]

Indexed by:

EI Scopus PKU CSCD

Abstract:

The fast urban spatial expansion has led to the considerable substitution of natural vegetation-dominated land surfaces by impervious surface. Understanding of the role of impervious surface changes to urban thermal environments is of importance for mitigating severe urban heat island effect in cities of the world. Taking Fuzhou city in southeastern China as a case, this study examined the quantitative relationship of impervious surface with land surface temperature (LST).Two Landsat images of 1989 and 2014 were used to extract the information of impervious surface, vegetation and water and to retrieve LST from the images. The result shows that the impervious surface in Fuzhou's urban area has significantly increased by 161% during the study period, which was 54.29km2 in 1989 but remarkably increased to 141.45km2 in 2014.The regression analysis results showed a strong positive exponential relationship existing between the percent impervious surface and LST. This suggests that the areas with high impervious surface percentage will accelerate the raise of the LST much faster than the areas with low impervious surface percentage. Each decrement of 10% impervious surface cover with additional 10% green or water space could lower LST by up to 4.15 or 5.25, respectively. According to this regression analysis, the increase of impervious surface area and the decrease of vegetation and water coverage in Fuzhou urban area during the 25-study years have made a substantial LST rise by 16.54 in the area from 1989 to 2014. © 2018, The Editorial Board of Journal of Basic Science and Engineering. All right reserved.

Keyword:

Atmospheric temperature Expansion Land surface temperature Regression analysis Remote sensing Surface measurement Vegetation

Community:

  • [ 1 ] [Wang, Meiya]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Xu, Hanqiu]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Li, Xia]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China
  • [ 4 ] [Lin, Zhongli]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Zhang, Bobo]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Fu, Wei]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China
  • [ 7 ] [Tang, Fei]College of Environment and Resources, Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • 徐涵秋

    [xu, hanqiu]college of environment and resources, fujian provincial key laboratory of remote sensing of soil erosion and disaster prevention, fuzhou university, fuzhou; 350116, china

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Source :

Journal of Basic Science and Engineering

ISSN: 1005-0930

CN: 11-3242/TB

Year: 2018

Issue: 6

Volume: 26

Page: 1316-1326

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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