Wang Weiwu, He Jie, Yang Shuzhe
College of Civil Engineering and Architecture, Zhejiang University, Hangzhou, China.
Institute of Urban and Rural Planning Theories and Technologies, Zhejiang University, Hangzhou, China.
Int J Biometeorol. 2025 Feb;69(2):367-381. doi: 10.1007/s00484-024-02814-2. Epub 2024 Nov 18.
Urbanization is widely acknowledged as a driving force behind the increase in land surface temperature (LST), while blue-green spaces (BGS) are recognized for their cooling effect. However, research on the long-term correlation between the two in highly urbanized areas remains limited. This study aims to fill this research gap by investigating the correlation and changes between urban expansion-induced LST rise and the cooling effect of BGS in the Hangzhou metropolitan area from 2000 to 2020. Our approach combines Geographic Information System (GIS), Remote Sensing (RS), and Google Earth Engine (GEE) cloud platforms, utilizing a random forest land use classification technique in conjunction with the Geographically and temporally weighted regression (GTWR) model. The findings reveal a strong relationship between land expansion and the intensification of the surface urban heat island (SUHI) effect. The spatial heat island effect exhibits an exponential expansion in area, with an interannual LST rise of 0.4 °C. Notably, urban centers exert the highest regional heat contribution, while remote suburbs have the most significant impact on reducing LST. The impact of BGS on LST varies, fluctuating more in areas close to urban centers and less in water-rich areas. This study contributes to a better understanding of the cooling potential of BGS in rapid urbanized Metropolitan, offering valuable insights for sustainable urban planning.
城市化被广泛认为是地表温度(LST)升高的驱动力,而蓝绿空间(BGS)因其降温作用而受到认可。然而,在高度城市化地区,关于两者之间长期相关性的研究仍然有限。本研究旨在通过调查2000年至2020年杭州大都市区城市扩张引起的LST升高与BGS降温效果之间的相关性和变化,填补这一研究空白。我们的方法结合了地理信息系统(GIS)、遥感(RS)和谷歌地球引擎(GEE)云平台,利用随机森林土地利用分类技术结合地理和时间加权回归(GTWR)模型。研究结果表明,土地扩张与地表城市热岛(SUHI)效应的强化之间存在密切关系。空间热岛效应在面积上呈指数级扩张,LST年际上升0.4°C。值得注意的是,城市中心区域热贡献最高,而偏远郊区对降低LST的影响最为显著。BGS对LST的影响各不相同,在靠近城市中心的地区波动较大,在水资源丰富的地区波动较小。本研究有助于更好地理解快速城市化大都市中BGS的降温潜力,为可持续城市规划提供有价值的见解。