Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion.

Assessing the quantitative relationships between the impervious surface area and surface heat island effect during urban expansion.
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评估城市扩张过程中不透水面面积与地表热岛效应之间的定量关系

DOI:
10.7717/peerj.11854
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发表时间:
2021
期刊:
影响因子:
2.7
通讯作者:
Peng S
Peng S
中科院分区:
生物学3区
文献类型:
--
作者:
Ma X;Peng S

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不透水面作为城市下垫面的重要组成部分,其分布格局和密度对城市地表热岛效应的产生起着重要作用。然而,从时空变化的角度定量和局部地探讨伊萨对城市扩展过程中的SUHI的影响还不清楚。基于多波段遥感数据,采用剖面、差分和回归分析等地理空间分析方法,揭示了城市扩展的SUHI效应。研究结果表明:(1)城市扩展对城市综合健康指数有显著的加剧作用。总体而言,伊萨和陆面温度(LST)的空间分布格局具有明显的一致性。但是,地方空间差异很大。地表温度最高的地区并不集中在伊萨最高的市中心区,而是分散在城市北方开发中的耕地和裸露地表区域。(2)总的来说,伊萨能很好地解释地表温度的空间分布,二者之间存在明显的正相关关系,二次多项式函数是二者的最佳拟合模型。(3)绿色空间和水体等生态要素的密度和空间配置对缓解SUHI起着重要作用。研究发现,伊萨覆盖率最高的城市中心区由于绿色空间和水体的合理配置,没有显著的SUHI。研究成果可为今后的城市规划和生态环境建设提供科学依据。
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.
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