Yicong Chen , Weibo Ma , Yamei Shao , Nan Wang , Zhaowu Yu , Haidong Li , Qingwu Hu
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引用次数: 0
Abstract
The contributions of urban morphology (UM) and their key thresholds to urban heat island (UHI) intensity during heatwave events lack clarity. In response to this problem, the impacts and thresholds of UM on summer daytime land surface temperature (LST) in megacity, Shanghai, during the heatwave event were quantified by high-resolution remote sensing and GIS data, including 57 2D/3D UM indices associated with building volumes, vegetation volumes and so on, using stepwise multiple linear regression (SMLR), and XGBoost-based SHAP interpretable methods. The results show that increasing the proportion of tree cover within urban functional zones (UFZs) no longer effectively mitigates UHI; instead, reducing the difference in building and vegetation volume is the key cooling factor related to vegetation. The 3D building-vegetation integrated morphology indices, we proposed, show a fine explanatory on LST, and predominantly govern LST variations in UFZs together with the 2D UM indices (29 %-44 %). Threshold effects are also observed in the impacts of UM during the heatwave event, and the proportion and cohesion of built-up generally has a low impact on LST, when their values are lower than 11.9 % and 98.9 % respectively. Based on these findings, we proposed that the reduction of the volume difference between buildings and vegetation depending on ecological construction of tree species with large canopy may serve as an effective approach to mitigate UHI in UFZs during heatwave events.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;