As an important component of underlying urban surfaces, the distribution pattern and density of the impervious surface area (ISA) play an important role in the generation of surface urban heat island (SUHI) effects. However, the quantitative and localized exploration of the ISA’s influence on SUHIs in the process of urban expansion from the perspective of temporal and spatial changes is still not clear. Based on multisource remote sensing data, the SUHI effect of urban expansion is revealed by using geospatial analysis methods such as profile, difference and regression analysis. The results show the following: (1) urban expansion plays a significant role in aggravating SUHIs. Overall, the ISA and land surface temperature (LST) have obvious consistency in terms of spatial distribution patterns. However, local spatial differentiation is significant. The areas with the highest LST were not concentrated in the downtown area with the highest ISA but were scattered in the cultivated land and exposed surface areas under development in the northern part of the city. (2) In general, the ISA can explain the spatial distribution of LST well, there is an obvious positive correlation between them, and the quadratic polynomial function is the best fitting model between them. (3) The density and spatial allocation of ecological elements, such as green space and water bodies, play an important role in alleviating SUHIs. This study found that the urban center with the highest ISA coverage rate has no significant SUHI due to the reasonable allocation of green space and water bodies. The research results can provide a scientific basis for future urban planning and ecological environment construction.

中文翻译：

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评估城市扩张过程中不透水表面积与地表热岛效应之间的定量关系

作为城市下垫面的重要组成部分，不透水表面积（ISA）的分布格局和密度在地表城市热岛（SUHI）效应的产生中起着重要作用。然而，从时空变化的角度对ISA在城市扩张过程中对SUHIs的影响进行定量和局部探索尚不明确。基于多源遥感数据，利用剖面分析、差分分析、回归分析等地理空间分析方法揭示城市扩张的SUHI效应。结果表明：（1）城市扩张在加剧SUHI中起着重要作用。总体而言，ISA和地表温度（LST）在空间分布格局上具有明显的一致性。然而，局部空间差异是显着的。LST最高的区域并不集中在ISA最高的市区，而是分散在城市北部的耕地和正在开发的裸露地表区域。(2) 一般来说，ISA可以很好地解释LST的空间分布，它们之间存在明显的正相关，二次多项式函数是它们之间的最佳拟合模型。(3)绿地、水体等生态要素的密度和空间配置对缓解SUHI具有重要作用。本研究发现，由于绿地和水体的合理分配，ISA覆盖率最高的城市中心没有显着的SUHI。研究成果可为未来城市规划和生态环境建设提供科学依据。