Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1626 - 1626

Published: Oct. 7, 2024

Understanding the driving mechanisms behind surface urban heat island (SUHI) effects is essential for mitigating degradation of thermal environments and enhancing livability. However, previous studies have primarily concentrated on central areas, lacking a comprehensive analysis entire metropolitan area over distinct time periods. Additionally, most relied regression models such as ordinary least squares (OLS) or logistic regression, without adequately analyzing spatial heterogeneity factors influencing effects. Therefore, this study aims to explore in Guangzhou-Foshan across different The Local Climate Zones (LCZs) method was employed analyze landscape characteristics structure metropolis years 2013, 2018, 2023. Furthermore, Geographically Weighted Regression (GWR), Multi-scale (MGWR), Geographical Detector (GD) were utilized investigate interactions between (land cover factors, environmental socio-economic factors) Surface Urban Heat Island Intensity (SUHII), maximizing explanation SUHII all Three main findings emerged: First, exhibited significant heterogeneity, with non-linear relationship SUHII. Second, SUHI displayed core-periphery pattern, Large lowrise (LCZ 8) compact 3) areas showing highest levels core zones. Third, land emerged influential metropolis. These results indicate that exhibit notable varying negative can be leveraged mitigate locations. Such offer crucial insights future policy-making.

Language: Английский