Journal
BUILDING AND ENVIRONMENT
Volume 216, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.buildenv.2022.109000
Keywords
Land surface temperature; Urban thermal environment; Shenyang city; Urban functional zones
Funding
- National Natural Science Foundation of China [41771178, 42030409]
- Fundamental Research Funds for the Central University [N2111003]
- Second Tibetan Plateau Scientific Expedition and Research Program (STEP) [2019QZKK1004]
- Innovative Talents Support Program of Liaoning Province [LR2017017]
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This study utilized map data and remote sensing images to identify urban functional zones in Shenyang, and evaluated their impact on the urban thermal environment. The results revealed a gradual decrease in land surface temperature in the city center, with public service facility land having the greatest influence on the urban thermal environment.
With the accelerated rate of urbanization, reasonable identification of urban functional zones has been increasingly important to urban development. In this study, we used OpenStreetMap and point of interest data combined with the classification standard of urban construction land, to identify the urban functional zones. In addition, Landsat 8 remote sensing images were utilized to retrieve land surface temperature, and the random forest algorithm was used to evaluate the contribution of different types of urban functional zones to the urban thermal environment. The results showed that the land surface temperature along Hunhe River in the central area of Shenyang gradually decreased. The temperature was high in the center of the experimental area and low in the north and south. Furthermore, in the main city zone of Shenyang, single functional zones accounted for 65.71% of the total study area, whereas mixed functional zones accounted for 34.29%. Among the various types of urban land, public service facility land contributed the most to the urban thermal environment with an impact of 21.65%, followed by residential, industrial, and commercial service facility lands, with impacts of 19.89%, 18.44%, and 17.58%, respectively. Additionally, the impact of road traffic land was 14.92%, whereas that of green square land was the lowest at 7.51%, 14.14% lower than that of public service facility land.
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