Quantitatively evaluating the spatial heterogeneity of the urban thermal environment holds significant scientific value for fostering sustainable urban development. This study utilized Point of Interest (POI) data to delineate the functional zones within the four districts of Dalian, while urban surface temperature data were derived through inversion techniques applied to Landsat 8 OLI_TIRS remote sensing images. Employing methods such as spatial autoregressive modeling, we elucidate the spatial differentiation patterns of the thermal environment across diverse functional zones and assess the respective contributions of these zones to the surface urban heat island (SUHI) phenomenon. The findings indicate that surface temperatures exhibit elevation across all functional zones, with the most pronounced elevations observed in mixed functional zones, succeeded by industrial and green square zones. The expansion of each functional zone type's area proportion positively correlates with the formation and intensity of SUHI, particularly pronounced in industrial and mixed functional zones. Heat island intensity is predominantly influenced by the joint presence of residential and industrial zones. Mixed functional zones exhibit the most noteworthy warming effect. The outcomes of this research offer a fresh perspective on mitigating SUHI in Dalian, along with furnishing a scientific foundation for urban functional zone layout strategies.

中文翻译：

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基于功能区的城市热环境分异研究------以大连市4个区为例


定量评价城市热环境的空间异质性对促进城市可持续发展具有重要的科学价值。本研究利用感兴趣点 （POI） 数据来描绘大连市四个区内的功能区，而城市地表温度数据则通过应用于 Landsat 8 OLI_TIRS遥感影像的反演技术得出。采用空间自回归建模等方法，我们阐明了不同功能区热环境的空间分化模式，并评估了这些区域对地表城市热岛 （SUHI） 现象的各自贡献。研究结果表明，地表温度在所有功能区都表现出升高，在混合功能区观察到的升高最为明显，其次是工业区和绿色方形区。每种功能区类型面积比例的扩大与 SUHI 的形成和强度呈正相关，在工业和混合功能区尤为明显。热岛强度主要受住宅区和工业区共同存在的影响。混合功能区表现出最值得注意的变暖效应。这项研究的结果为减轻大连的 SUHI 提供了新的视角，并为城市功能区布局策略提供了科学基础。