城市地表热岛分异规律研究——以郑州市为例

doi:10.13474/j.cnki.11-2246.2026.0905

摘要/Abstract

摘要： [目的]局部气候区(LCZ)已成为城市气候研究的基础，理清其地表温度的分异规律，对改善城市人居环境具有重要意义。[方法]本文选择郑州市居住多层、居住高层和单位用地3种典型局部气候区，采用多尺度地理加权回归（MGWR）方法，探讨了归一化植被指数(NDVI)、绿地、阴影、不透水地面面积、建筑高度和天空视域因子(SVF)与地表温度(LST)的关系。[结果]结果表明，这3种用地影响地表温度的景观各不相同，NDVI在单位用地模型中影响最大，带宽为27.88 m；居住高层中影响最大的景观参数是阴影，带宽为 2 728.6 m；但居住多层中影响最大的参数是不透水地面，带宽为20.93 m。[结论]研究明确了三维景观及景观组合对城市地表温度的影响，发现NDVI和建筑高度带宽均小于30 m，该结果进一步缩小了城市气候研究的尺度，表明可通过景观元素的调整改变LCZ内的人居环境。

关键词: 局部气候区, 多尺度地理加权回归, 地表热岛效应, 阴影, 绿地

Abstract: [Purposes]Local climate zones (LCZ)have become the foundation of urban climate research.Understand the patterns of spatial variation in surface temperature within a local climate zone is of great significance for improving the living environment in these areas.[Methods]The study selected three typical local climate zones in Zhengzhou： multi-story residential areas,high-rise residential areas,and institutional land.Using the multi-scale geographical weighted regression(MGWR）method,it explored the relationship between normalized vegetation index (NDVI),green space,shade,impervious surface area,building height,and sky view factor (SVF)with land surface temperature (LST).[Findings] The results showed that the three types of land-use affected land surface temperature were different,and NDVI had the greatest impact on institutional land use areas,with a bandwidth of 27.88 m.The most influential landscape parameter in the high-rise residential is shading with a bandwidth of 2 728.6 m,but the most influential parameter in the multi-storey residential is impervious ground with a bandwidth of 20.93 m.[Conclusions]The influence of 3D landscape and the combination of landscape on urban land surface temperature was clarified,and it was found that the bandwidth of NDVI and building height was less than 30 m,which further narrowed the scale of urban climate research.It shows that the living environment in LCZ can be changed through the adjustment of landscape elements．

Key words: local climate zone, multi-scale geographical weighted regression, surface heat island, shade, green land

中图分类号:

P208

张敬东, 张若兰, 黄静静, 何瑞珍. 城市地表热岛分异规律研究——以郑州市为例[J]. 测绘通报, 2026, 0(9): 34-40,48.

Zhang Jingdong, Zhang Ruolan, Huang Jingjing, He Ruizhen. Study on the differentiation patterns of urban surface heat islands： a case study of Zhengzhou city[J]. Bulletin of Surveying and Mapping, 2026, 0(9): 34-40,48.

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http://tb.chinasmp.com/CN/Y2026/V0/I9/34

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