Journal of Atmospheric and Environmental Optics, Volume. 18, Issue 2, 153(2023)

Analysis of spatiotemporal evolution and influencing factors of heat island effect in Hefei based on satellite data

ZHAO Qiang1,2, TAN Lu1、*, FANG Qiansheng1,2, LIU Changyu1, MA Ke1, and ZHU Shuguang1,2
Author Affiliations
  • 1School of Environment and Energy Engineering, Anhui Jianzhu University, Hefei 230601, China
  • 2Anhui Institute of Carbon Emission Peak and Carbon Neutrality in Urban-Rural Development, Hefei 230601, China
  • show less

    In order to study the evolution of urban pattern and the change of heat island effect in Hefei in recent 20 years, land classification and land surface temperature inversion were carried out based on the Landsat satellite images of October 2005, October 2009, October 2015 and October 2020. The normalized difference between bare land and building index (NDBBI), fraction vegetation coverage (FVC), modified normalized difference water index (MNDWI) and population density were extracted for multiple regression analysis, and then a mathematical model was established to analyze the heat island effect and its influencing factors in the main urban area of Hefei. The results show that: (1) From 2005 to 2020, the strong heat island area has increased by 15.03 km2. The distribution direction of standard deviation ellipse of heat island is from northeast to southwest, and the scope of the ellipse is expanding year by year. The mass center of heat island is concentrated in Shushan Economic Development Zone, and 81.90% of the strong heat island areas are high-density industrial areas, indicating a good corresponding relationship between the strong heat island areas and high-density industrial areas. (2) The analysis results of geographical detector show that the explanatory power of each influencing factor on land surface temperature from large to small is, NDBBI (0.542), MNDWI (0.409), FVC (0.379) and population density (0.018). (3) The results of multivariate linear model (R2 = 0.654) indicate that the main factors affecting land surface temperature is NDBBI, while the population density has little effect. (4) The analysis of geographical weighted regression (GWR) model shows that the R2 of each point is in the range of 0.489-0.667, and the R2 of urban construction area with dense buildings and roads is highest. The high value of NDBBI coefficient is concentrated in the economic development zone and other places, with the highest value reaching more than 0.9, the coefficient of population density is still very small, the high value areas of FVC coefficient are concentrated in areas with high vegetation coverage, while MNDWI high value areas are distributed in water areas.

    Tools

    Get Citation

    Copy Citation Text

    Qiang ZHAO, Lu TAN, Qiansheng FANG, Changyu LIU, Ke MA, Shuguang ZHU. Analysis of spatiotemporal evolution and influencing factors of heat island effect in Hefei based on satellite data[J]. Journal of Atmospheric and Environmental Optics, 2023, 18(2): 153

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Oct. 11, 2021

    Accepted: --

    Published Online: Jul. 7, 2023

    The Author Email: TAN Lu (18605654950@163.com)

    DOI:10.3969/j.issn.1673-6141.2023.02.007

    Topics