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author:

Lin, Zhongli (Lin, Zhongli.) [1] | Xu, Hanqiu (Xu, Hanqiu.) [2] (Scholars:徐涵秋)

Indexed by:

EI PKU CSCD

Abstract:

Local Climate Zones (LCZ) can effectively create the quantitative relationship between urban climate and urban spatial form and reveal the spatial variability of urban internal thermal environments. LCZ is a research method of urban thermal environment and has attracted a lot of attention at present. Therefore, this paper applies LCZ to study the spatial characteristics of urban thermal environment and its inter-/intra-zonal variability in Fuzhou City, a recently called 'Stove city' in China. Furthermore, the planning strategy for the improvement of the urban thermal environment in Fuzhou is proposed. This study reveals that the main urban area in Fuzhou is dominated by compact mid- and low-rise buildings, which are distributed in a concentrated manner. In addition, the LCZ has obvious inter-zonal variability of land surface temperature (LST). Large low-rise building (LCZ 8) has the highest LST (41.56 ), followed by Compact low-rise (LCZ 3) and Heavy industry (LCZ 10) with LST of 40.90 and 40.39 , respectively, while Dense trees (LCZ A) and Water (LCZ G) have the lowest LST with average LST of 29.94 . At the same time, the intra-zonal LCZ variability also exists. We divides the main urban area into the second and third ring zones and analyzes the LST inter-zonal difference within each LCZ category. It can be found that the main LCZ building types have an inter-zonal difference between 0.5 and 1.5 . The configuration of environmental factors, such as vegetation and water, buildings layout, and proximity effects, are the main causes of intra-zonal LCZ variability of LST. There is a significant negative correlation between building height and LST (r=-0.858, p © 2022, Science Press. All right reserved.

Keyword:

Atmospheric temperature Radiation shielding Remote sensing Surface properties Tall buildings Urban planning

Community:

  • [ 1 ] [Lin, Zhongli]College of Architecture and Urban Planning, Fujian University of Technology, Fuzhou; 350118, China
  • [ 2 ] [Xu, Hanqiu]College of Environmental and Safety Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Xu, Hanqiu]Institute of Remote Sensing Information Engineering, Fujian Provincial Key Laboratory of Remote Sensing Soil Erosion and Disaster Prevention, Fuzhou University, Fuzhou; 350116, China

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Source :

Journal of Geo-Information Science

ISSN: 1560-8999

CN: 11-5809/P

Year: 2022

Issue: 1

Volume: 24

Page: 189-200

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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