Chen Ting, Ren Zhibin, Fu Yao, Liu Chang
Faculty of Soil and Water Conservation, Southwest Forestry University, Kunming, 650024, China.
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
Sci Rep. 2024 Nov 9;14(1):27375. doi: 10.1038/s41598-024-78118-7.
With the development of urbanization, the spatial and temporal distribution characteristics of the urban landscape pattern play a decisive role in the intensity of the urban heat island (UHI) effect. A panel data model was constructed to study the relationship between the UHI effect and landscape pattern in Kunming from 1995 to 2020 at four different scales. The results indicate: (1) The landscape pattern of Kunming changed obviously with time, the artificial patch increased, the natural patch decreased, and the UHI effect became more and more obvious; (2) With an increase in scale, the number of influencing variables continues to grow, and the impact of artificial patches gradually intensifies; (3) The normalized difference water index (NDWI) has the greatest influence on the UHI, and the cooling effect is more obvious with the increase in scale. Unlike previous studies, the spatial configuration of the landscape in Kunming City had a stronger effect on the UHI effect than the landscape grouping and vegetation index; (4) This paper introduces the panel data model into the discussion of the UHI for the first time, providing a new method for better understanding the changing patterns of the urban thermal environment.
随着城市化的发展,城市景观格局的时空分布特征对城市热岛(UHI)效应的强度起着决定性作用。构建了一个面板数据模型,以研究1995年至2020年期间昆明市在四个不同尺度下城市热岛效应与景观格局之间的关系。结果表明:(1)昆明市的景观格局随时间发生了明显变化,人工斑块增加,自然斑块减少,城市热岛效应越来越明显;(2)随着尺度的增加,影响变量的数量持续增长,人工斑块的影响逐渐增强;(3)归一化差异水指数(NDWI)对城市热岛效应的影响最大,且随着尺度的增加,降温效果更明显。与以往研究不同的是,昆明市景观的空间配置对城市热岛效应的影响比景观分组和植被指数更强;(4)本文首次将面板数据模型引入城市热岛效应的讨论中,为更好地理解城市热环境的变化模式提供了一种新方法。