城市热岛
城市化
空间分布
溢出效应
环境科学
空间异质性
自然地理学
标准差
星团(航天器)
地理
空间相关性
市区
反演(地质)
气候学
遥感
气象学
地质学
统计
构造学
数学
经济
经济增长
古生物学
经济
微观经济学
计算机科学
程序设计语言
生态学
生物
作者
Yanqiu Chen,Baoyan Shan,Xinwei Yu
标识
DOI:10.1016/j.buildenv.2021.108604
摘要
Conflicts between urban expansion and urban heat islands (UHIs) are increasing markedly, because of accelerated urbanization, and it is urgent to mitigate the UHI effect. In this study, we explored the spatial heterogeneity of UHIs from a neighborhood perspective via inversion of land surface temperature (LST) based on Landsat-8 remote sensing image data and using local Moran's I; the central urban area of Jinan City was selected as the study area. Furthermore, by constructing a system of urban spatial structure indicators and adopting methods such as correlation coefficient analysis and spatial econometric modeling, the factors influencing UHI were further revealed. The results showed that (1) There was spatial heterogeneity of the UHI in the central urban area of Jinan. The High-High cluster was mainly distributed in the north of the central urban area of Jinan; the Low-Low cluster was primarily distributed in the south of the central urban area of Jinan and the waters. Agglomeration distribution approximately coincided with heat island distribution. (2) The correlations between urban spatial structure indicators and LST in different dimensions were generally high and varied significantly. The two-dimensional and three-dimensional indicators all showed a highly significant positive relationship with LST. The mean and standard deviation of the DEM and absolute building height in the one-dimensional indicators were both negatively and significantly correlated with LST. (3) Building height standard deviation had a significantly positive spillover effect on the LST of the neighboring areas; this spillover effect was greater than the direct effect on these regions.
科研通智能强力驱动
Strongly Powered by AbleSci AI