Understanding land surface temperature impact factors based on local climate zones. (June 2021)

• Record Type: Journal Article
• Authors: Yang, Jun; Ren, Jiayi; Sun, Dongqi; Xiao, Xiangming; Xia, Jianhong (Cecilia); Jin, Cui; Li, Xueming
• Is Part Of: Sustainable cities and society. Volume 69(2021)
• Publication Date: 2021-06
• Subjects: Urban thermal environment -- Local climate zone (LCZ) -- Building structure parameters -- Remote sensing index -- Shenyang; Sustainable urban development -- Periodicals; Sustainable buildings -- Periodicals; Urban ecology (Sociology) -- Periodicals; 307.76
• DOI: 10.1016/j.scs.2021.102818
• Languages: English
• ISSNs: 2210-6707

Abstract

Highlights: Land surface temperature (LST) related factors in Shenyang were studied. LST gradually decreases from central urban area to the surrounding areas. Significant temperature differences occur between local climate zones (LCZs). 3-D urban space significantly impacts LCZs horizontally and vertically. LST is always positively correlated with the floor area ratio. Abstract: The local climate zone (LCZ) and land surface temperature (LST) have gained considerable attention as urbanization continues to increase. However, the study of LSTs lacks a regional complexity perspective. In order to explore the law of urban thermal environment, impact factors of LSTs are identified using GIS spatial analysis and statistical analysis methods in conjunction with parameter models that reflect urban spatial morphologies on the LCZ scale. The research results show that the LST ranges from 24.90 °C (LCZA) to 33.26 °C (LCZ2) in the summer of 2017 and from 2.53 °C (LCZ7) to 2.89 °C (LCZ3) in winter; LST ranged from 22.00 °C (LCZ2) to 28.19 °C (LCZE) in summer 2019, and from -4.79 °C (LCZ10) to -2.12 °C (LCZ3) in winter. Different LCZs had different impacts on LSTs. LST is always positively correlated with the floor area ratio, with a maximum correlation coefficient of 0.682 in LCZ2. It exhibits the highest positive correlation (correlation coefficient = 0.421) with average building height in LCZ3 and the highest negative correlation (correlation coefficient = -0.706) in LCZ7; vegetation and water bodies have a cooling effect. These results can serve as a valuable reference for building cool communities and improving the living environment of residents.