Regulation of blue-green landscape fragmentation on day-night surface urban heat island: A case study of Kunming

IF 13.3 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Sustainable Cities and Society Pub Date : 2026-03-01 Epub Date: 2026-01-22 DOI:10.1016/j.scs.2026.107173

Jiaxi Li , Zihan Liu , Zhenfeng Shao , Huyan Fu

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引用次数: 0

Abstract

Accelerating global urbanization has intensified the urban heat island (UHI) effect and exacerbated the fragmentation of blue-green landscapes (BGL) (i.e., water bodies and vegetation cover). While previous studies confirmed the mitigating impact of BGL on surface urban heat islands (SUHI), the dynamic influence mechanisms of their fragmentation on diurnal and seasonal SUHI intensity (SUHII) remain inadequately understood. Our study investigated Kunming, a representative plateau city, by integrating high-resolution land cover data with SUHII data. Using Pearson correlation analysis and generalized additive models, we systematically analyzed the diurnally differentiated impact mechanisms of six BGL fragmentation types (Intact, Interior, Dominant, Transitional, Patchy, and Rare) on the SUHII. The key findings: (1) BGL coverage reached 54.64 %, but the core area exhibited high fragmentation (Patchy + Transitional = 74.93 %). (2) SUHII showed spatial gradients (core > middle > expanded area), with stable nighttime values but significantly enhanced daytime intensity in summer. (3) Rare, Patchy, and Transitional types positively correlated with SUHII (r = 0.13 ∼ 0.60), while Dominant, Interior, and Intact types showed negative correlations (r = –0.03 ∼ –0.15). Crucially, their cooling effect demonstrated nonlinear enhancement when Intact/Interior exceeded 40 % coverage. Conversely, higher Patchy/Rare proportions exacerbated SUHII. (4) Patchy contributed most to diurnal SUHII (daytime: 56.47 %; nighttime: 51.59 %). The core and middle areas were dominated by highly fragmented types (Rare + Patchy > 68.45 %), while the Transitional type shaped the expanded area. This study reveals the impact mechanism of BGL fragmentation on the SUHI, informing UHI mitigation via landscape optimization.

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城市地表热岛对蓝绿景观破碎化的调控——以昆明市为例

全球城市化的加速加剧了城市热岛效应，加剧了蓝绿景观（即水体和植被覆盖）的破碎化。虽然以往的研究证实了BGL对地表城市热岛（SUHI）的缓解作用，但其破碎化对日和季节热岛强度（SUHII）的动态影响机制仍未得到充分了解。本文采用高分辨率土地覆盖数据与SUHII数据相结合的方法，对具有代表性的高原城市昆明进行了调查。利用Pearson相关分析和广义加性模型，系统分析了6种BGL破碎类型（完整、内部、主导、过渡、斑块和罕见）对SUHII的日差异影响机制。结果表明：(1)BGL盖度达到54.64%，但核心区破碎化程度较高（斑块+过渡性= 74.93%）；(2) SUHII表现出空间梯度（核心>；中部>；扩大面积），夜间值稳定，但夏季白天强度显著增强。(3) Rare、Patchy和Transitional型与SUHII呈正相关（r = 0.13 ~ 0.60），而Dominant、Interior和unchanged型与SUHII呈负相关（r = -0.03 ~ -0.15）。至关重要的是，当完整/内部覆盖超过40%时，它们的冷却效果表现出非线性增强。相反，较高的Patchy/Rare比例加重了SUHII。(4)斑片对昼夜SUHII的贡献最大（白天56.47%，夜间51.59%）。核心区和中部以高度破碎型为主（Rare + Patchy > 68.45%），扩展区以过渡型为主。本研究揭示了BGL破碎化对城市热岛的影响机制，为通过景观优化缓解城市热岛提供参考。

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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;