Effect of urban morphology on local-scale urban heat island intensity under varying urbanisation: A case study of Wuhan

IF 12 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2025-03-24 DOI:10.1016/j.scs.2025.106328

Wei Gao , Jiupu Liu , Shuangyue Li , Ke Xu , Mengmeng Wang , Zhihong Xia

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引用次数: 0

Abstract

Urban spatial morphology critically impacts thermal environment distribution, essential for urban planning. However, research on the influence of dynamic changes in urban spatial morphology factors on Local-scale Urban Heat Island Intensity (LUHII) under varying degrees of urbanization remains insufficient. This study investigates the spatiotemporal characteristics of LUHII in Wuhan from 2010 to 2020, focusing on three types of blocks with different development speeds. It examines the impact of dynamic changes in Local Climate Zones (LCZs) on LUHII at the Block scale and explores the relationship between landscape pattern indices—namely, Shannon's Diversity Index (SHDI), Mean Shape Index (MSI), Patch Density (PD), and Contagion Index (CONTAG)—and LUHII dynamics using the Geographically and Temporally Weighted Regression (GTWR) model. The findings reveal that rapidly expanding Blocks experienced a sharp decline in natural LCZ types (LCZB-D) from 2016 to 2020, with reductions 12.5 times and 3.13 times greater than those in stable and moderately growing Blocks, respectively. LUHII exhibited significant spatial variations, with rapidly expanding Blocks showing the highest growth rate; however, by 2020, the mean LUHII in moderately growing Blocks surpassed that of stable Blocks by 13 %. LCZ2-to-LCZ5 and LCZ3-to-LCZ6 transitions in stable Blocks led to notable cooling effects, with a relative decrease of 10.25 % and 17.49 %, respectively, while other Blocks showed significant cooling only during LCZ6-to-LCZ9 transitions. From 2016 to 2020, most LCZ conversions resulted in LUHII increases across all Blocks. Among landscape pattern indices, contributions to LUHII followed the order SHDI > MSI > PD > CONTAG. SHDI was strongly positively correlated with LUHII, while PD and CONTAG exhibited mostly negative correlations. MSI showed a positive correlation with LUHII solely in moderately growing Blocks (β=2.779), implying that increasing shape complexity in these Blocks may hinder heat island mitigation. Urban planning should prioritize enhancing landscape fragmentation and connectivity.

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不同城市化水平下城市形态对局地尺度城市热岛强度的影响——以武汉市为例

城市空间形态对热环境分布具有重要影响，对城市规划至关重要。然而，不同城市化程度下城市空间形态因子动态变化对局地尺度城市热岛强度（LUHII）的影响研究尚不充分。研究了2010 - 2020年武汉市LUHII的时空特征，重点研究了三种不同发展速度的区块类型。在块尺度上考察了局地气体区（lcz）动态变化对LUHII的影响，并利用地理和时间加权回归（GTWR）模型探讨了景观格局指数（即Shannon多样性指数（SHDI）、平均形状指数（MSI）、斑块密度（PD）和传染指数（CONTAG））与LUHII动态之间的关系。结果表明，2016 - 2020年，快速扩张区域的自然LCZ类型（LCZB-D）急剧下降，分别是稳定和中等增长区域的12.5倍和3.13倍。LUHII表现出显著的空间差异，以快速扩展的块为最高；然而，到2020年，中等增长地区的平均LUHII比稳定地区高出13%。稳定区lcz2 - lcz5和lcz3 - lcz6的降温效果显著，分别相对降低10.25%和17.49%，而其他区仅在lcz6 - lcz9的降温效果显著。从2016年到2020年，大多数LCZ转换导致所有街区的LUHII增加。在景观格局指数中，对LUHII的贡献顺序为SHDI >；MSI祝辞PD祝辞合作。SHDI与LUHII呈显著正相关，PD与CONTAG呈显著负相关。MSI与LUHII呈正相关（β=2.779），表明这些块体形状复杂性的增加可能阻碍热岛缓解。城市规划应优先考虑增强景观破碎性和连通性。

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来源期刊

Sustainable Cities and Society Social Sciences-Geography, Planning and Development

CiteScore

22.00

自引率

13.70%

发文量

810

审稿时长

27 days

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;