河谷型城市三维形态对地表热环境的影响研究——以兰州市为例

Research on the Impact of 3D Urban Morphology of Valley-type Cities on the Surface Thermal Environment: A Case Study of Lanzhou City

  • 摘要: 随着现代城市空间的立体化发展,三维城市形态已成为影响地表热环境的重要因素。现有研究多关注二维城市形态下地表热环境的演变和影响,对三维形态下的研究和考虑尚不充分,该问题在河谷型城市中表现的尤为突出。由此,论文以兰州市中心城区为例,基于Landsat 8 OLI卫星遥感数据、建筑物轮廓数据等,耦合最优参数地理探测器和多尺度地理加权回归模型等,重点研究了兰州市中心城区三维城市形态对地表热环境的影响,以期为促进城市合理规划,改善城市热环境,提高城市宜居性提供参考。结果表明:在三维城市形态中,天空视窗因子(SVF)、高层建筑占比(HBP)是地表温度(LST)的主导影响因子。由于SVF在通风和接收太阳辐射方面对LST的调节作用不同,导致对LST产生正负双向影响。其正向影响整体呈现以城关区为中心向外围递减的趋势。其负向影响整体呈现以西固区为中心向外围递减趋势。而HBP的增加有利于地表热环境的缓解;各类三维形态因子与NDBBI的交互作用相较与单一因子来说,解释力更强。

     

    Abstract: With the three-dimensional development of modern urban space, the three-dimensional urban form has become an important factor that affects the surface thermal environment.Current research predominantly focuses on the evolution and impacts of the surface thermal environment in 2D urban morphology, while studies and considerations of 3D urban morphology remain limited, with this issue being particularly pronounced in valley-type cities.Thus, this study focuses on the impacts of 3D urban morphology on the surface thermal environment in the downtown area of Lanzhou city, based on Landsat 8 OLI satellite remote sensing data, building silhouette data, and other datasets, coupled with the optimal parameter geographical detector(OPGD) and multiscale geographically weighted regression(MGWR) model.The study aims to provide references for rational urban planning, improving urban thermal environments, and enhancing urban livability.The results show thatin the 3D urban morphology, the sky view factor(SVF) and high building proportion(HBP) are the dominant factors influencing land surface temperature(LST).SVF’s differing effects on ventilation and solar radiation reception result in both positive and negative impacts on LST.The positive impacts decrease from the center of Chengguan district outward, whereas the negative impacts show a diminishing trend from the center of Xigu district.An increase in HBP facilitates the mitigation of the urban heat environment.The interactions between various 3D morphology factors and NDBBI provide stronger explanatory power compared to individual factors.

     

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