4.6 Article

Calculation and Expression of the Urban Heat Island Indices Based on GeoSOT Grid

期刊

SUSTAINABILITY
卷 14, 期 5, 页码 -

出版社

MDPI
DOI: 10.3390/su14052588

关键词

UHI footprint; UHI capacity; GeoSOT; calculation; expression

资金

  1. National Key R&D Program of China [2018YFB2100701]
  2. Research Program of Beijing Advanced Innovation Center for Future Urban Design [UDC2019031321]
  3. Pyramid Talent Training Project of Beijing University of Civil Engineering and Architecture [JDYC20200322]

向作者/读者索取更多资源

This paper proposes a model that integrates urban heat island information with a geographic coordinate subdividing grid. The calculation method of urban heat island indices and the expression method of spatial distribution are designed. Experimental results show that the method has higher calculation efficiency and provides a more detailed description of the spatial distribution of the urban thermal environment.
The urban heat island (UHI) effect accelerates the accumulation of atmospheric pollutants, which has a strong impact on the climate of cities, circulation of material, and health of citizens. Therefore, it is of great significance to conduct quantitative monitoring and accurate governance of UHI by calculating the index rapidly and expressing spatial distribution accurately. In this paper, we proposed a model that integrates UHI information with the GeoSOT (Geographic Coordinate Subdividing Grid with One-Dimension Integer Coding on 2n Tree) grid and subsequently designed the calculation method of UHI indices and expression method of UHI spatial distribution. The UHI indices were calculated on Dongcheng and Xicheng District, Beijing, in the Summer of 2014 to 2019. Experimental results showed that the proposed method has higher calculation efficiency, and achieved a more detailed description of the spatial distribution of the urban thermal environment compared with the Gaussian surface fitting method. This method can be used for large-scale and high-frequency monitoring the level of UHI and expressing complicated spatial distribution of UHI inside the city, thus supporting accurate governance of UHI.

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