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南京市冷/熱島格局的尺度效應研究

Study on the Scale Effect of the Cold/Heat Islands Pattern in Nanjing

  • 摘要: 城市地表覆被類型變化影響城市熱環境的空間格局,研究城市地表覆被類型與城市冷/熱島格局的相關關系,對調節城市微氣候🦧👨🏻‍🔧,改善人居環境,提高城市韌性具有重要的意義。基於landsat8影像數據,提取南京市4種主要地表覆被類型(水體🚵🏽‍♂️、植被🍷、不透水面、建築)的參數;同時利用熱紅外波段反演地表溫度,分別從像元(小)和市、區級行政區劃(大)2個尺度,研究冷/熱島空間分布與主要地表覆被類型之間的關系並就其尺度效應進行了深入探討🆚。研究結果如下:基於像元尺度的空間分析表明🪼,植被和水體的分布與冷島空間格局具有相關性🐖;不同地表覆被類型的降溫效應順序為:水體>植被>不透水面>建築🗞;建築和不透水面的分布與熱島空間格局具有相關性✫。基於市、區級行政區劃尺度的空間分析表明,4種地表覆被類型與冷島效應相關性較低;建築與不透水面與熱島效應相關性較高,其中建築與熱島效應相關性最高(R2=0.95)。總體而言,基於小尺度的研究能反映地表覆被類型與冷/熱島空間分布的相關關系,而基於大尺度的研究則從數據統計的角度反映城市熱環境的綜合特征。研究有助於城市規劃者理解城市冷/熱島形成的尺度特征📨,為應對全球氣候變化,合理規劃城市布局🦸🏽,促進城市可持續發展提供參考。

     

    Abstract: Changes in urban land cover types affect the spatial pattern of urban thermal environments, and the relationship between urban land cover types and urban cold/heat island patterns is of great significance for regulating urban microclimate, improving human settlements and improving urban resilience. Based on the landsat8 Satellite imaging data, the parameters of the four main types of land cover (water, vegetation, impervious surface, building) in Nanjing were extracted, at the same time, the surface temperature was retrieved using the thermal infrared band. The relationship between the spatial distribution of cold/heat islands and the main land cover types was studied from two scales: pixel (small) and city and district administrative division (middle) , and the scale effect was discussed in depth. The results are as follows: The spatial analysis based on the pixel scale shows that the distribution of vegetation and water is related to the spatial pattern of cold islands; the order of cooling effects of different types of surface types is: water>vegetation>impervious surface>building; the distribution of buildings and impervious surfaces is related to the spatial pattern of the heat island. The spatial analysis based on the scale of administrative divisions of cities and counties shows that the four types of land cover have a lower correlation with the cold island effect; buildings and impervious surfaces are highly correlated with heat island effects, and in particular, buildings and heat island effects have the highest correlation (R2=0.95). In general, research based on small scale can reflect the correlation between surface cover types and spatial distribution of cold/heat islands, while research based on mesoscale reflects the comprehensive characteristics of urban thermal environment from a statistical perspective. The research can help urban planners understand the scale characteristics of urban cold/heat island formation, and provide a reference for coping with global climate change, rationally planning urban layout, and promoting sustainable urban development.

     

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