A research framework for constructing an urban heat island network to mitigate the urban heat island effect: A case study of Nanchang, China

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

Sustainable Cities and Society Pub Date : 2025-09-15 DOI:10.1016/j.scs.2025.106839

Yuxiang Lan , Jiahui Zheng , Xupan Yue , Yingxue Wen

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Abstract

The urban heat island (UHI) effect has become an increasingly severe issue, prompting numerous studies on its mitigation. However, most existing research has been conducted at the patch level, overlooking the overall connectivity of UHI patches, which makes it difficult to reveal the thermal landscape patterns of UHI areas. This study made the central urban area of Nanchang as the research area. First, we employed methods such as morphological spatial pattern analysis and connectivity analysis to identify UHI sources and assess their importance. Next, geographical detectors were applied to analyze the driving forces of land surface temperature (LST) from 6 factors: population density, land cover (LC), elevation, gross domestic product (GDP), night light intensity (NI), and normalized vegetation index (NDVI). Based on this, we constructed a heat diffusion resistance surface. Finally, we used circuit theory to identify thermal corridors and key nodes, constructing a UHI network. The results showed that LC, NDVI, NI, and GDP are the four strongest driving factors for LST. The spatial distribution of heat diffusion resistance exhibited a distinct pattern, with low resistance at the center and high resistance at the periphery. A total of 71 UHI sources, 190 thermal corridors, and 35 key nodes were identified, mainly distributed in the southern and central areas of the study region, showing significant spatial heterogeneity. Finally, based on the structural characteristics of the UHI network, recommendations for efficient mitigation of UHI effects were proposed. The results provide valuable theoretical insights and practical strategies for alleviating UHI effects and improving urban climate resilience.

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缓解城市热岛效应的城市热岛网络构建研究框架——以南昌市为例

城市热岛效应已成为一个日益严重的问题，引发了许多关于缓解城市热岛效应的研究。然而，现有研究大多停留在斑块层面，忽略了城市热岛斑块的整体连通性，难以揭示城市热岛地区的热景观格局。本研究以南昌市中心城区为研究区域。首先，我们采用形态空间格局分析和连通性分析等方法来确定UHI来源并评估其重要性。其次，利用地理探测器从人口密度、土地覆盖（LC）、海拔、国内生产总值（GDP）、夜间光照强度（NI）和归一化植被指数（NDVI） 6个因子分析地表温度（LST）的驱动力。在此基础上，构造了热扩散阻力面。最后，利用电路理论对热廊道和关键节点进行识别，构建热岛热岛网络。结果表明，LC、NDVI、NI和GDP是地表温度的4个最强驱动因子。热扩散阻力的空间分布呈现出明显的中心低阻力、外围高阻力的格局。共确定了71个热岛源、190个热廊道和35个关键节点，主要分布在研究区南部和中部，空间异质性显著。最后，根据城市热岛网络的结构特点，提出了有效缓解城市热岛影响的建议。研究结果为缓解城市热岛效应和提高城市气候适应能力提供了有价值的理论见解和实践策略。

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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;