Exploring the influence of geographic proximity on the urban thermal environment and its boundary effects

The building form attributes (NDBI, BD, FAR, AH, and HSTD) and nonbuilding form parameters (SuVC and SVF) were systematically quantified. GIS-based processing integrates all spatial datasets. The urban block distance to Dianchi Lake (UB-DDL) and the urban block distance to forested mountain area (UB-DFMA) were quantified via the buffer zone tool in GIS software. In addition, LCZ mapping for non-built-up types is categorized on the basis of two indicators, the NDBI and SuVC. LST data were acquired in February, April, July and October 2022, with concurrent vegetation cover measurements collected during four campaigns.本研究对建筑形态属性（归一化建筑指数（Normalized Difference Built-up Index，NDBI）、建筑密度（Building Density，BD）、容积率（Floor Area Ratio，FAR）、建筑高度（Average Height，AH）、建筑间距（Building Spacing，HSTD））与非建筑形态参数（地表植被覆盖度（Surface Vegetation Coverage，SuVC）、天空视域因子（Sky View Factor，SVF））进行了系统量化。基于地理信息系统（Geographic Information System，GIS）的处理流程整合了全部空间数据集。通过GIS软件中的缓冲区分析工具，对城市街区至滇池的距离（UB-DDL）以及城市街区至林区山地的距离（UB-DFMA）进行了量化。此外，基于归一化建筑指数与地表植被覆盖度两个指标，对非建成区类型的局地气候区（Local Climate Zone，LCZ）制图进行了分类。地表温度（Land Surface Temperature，LST）数据采集于2022年2月、4月、7月及10月，同步开展的四次野外调查中完成了植被覆盖度的实地测量。