中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Assessing the resilience and optimization potential of the summer urban heat island spatial networks using complex network theory: Evidence from 19 major Chinese urban agglomerations☆

文献类型:期刊论文

作者Gao, Huan4; Chen, Jiayue4; Han, Dongrui1; Xu, Xinliang3; Liu, Luo2; Qiao, Zhi4
刊名CITIES
出版日期2026-03-01
卷号170页码:106683
关键词Urban heat island Spatial networks Complex network theory Urban agglomerations Morphological spatial pattern analysis China
ISSN号0264-2751
DOI10.1016/j.cities.2025.106683
产权排序3
文献子类Article
英文摘要Spatial networks of urban heat islands (UHIs) within urban agglomerations are characterized by a non-trivial topology. They critically influence regional climate dynamics and promote coordinated development. For the first time at the national scale, this study constructs a 15-year comparative framework for 19 major Chinese urban agglomerations by systematically integrating multi-source thermal remote sensing data, morphological spatial pattern analysis (MPSA), resistance-based circuit modeling, and complex network robustness theory. A combination of the Simplified Urban Extent algorithm, MSPA, circuit theory, and simulation of network robustness not only identified and quantified UHI connectivity patterns but also evaluated their systemic vulnerabilities under both random and targeted node-removal scenarios. This enabled resilience-oriented optimization. The results show that the area of summer UHI patches in the 19 agglomerations expanded significantly from 6.79 x 104 km2 in 2005 to 1.52 x 105 km2 in 2020. Correspondingly, the total length of the spatial networks increased from 5.79 x 104 to 9.98 x 104 km, with the density rising by 0.01 km.km-2, reflecting both large-scale spatial expansion and enhanced inter-patch connectivity. Targeted attack simulations further revealed that removal of structurally critical nodes-identified via multi-metric network centrality assessment-reduced network resilience by 35-60 % more than did random disruptions, highlighting the roles played by key spatial hubs in terms of maintaining UHI network stability. These findings bridge landscape ecology and complex network science, offering a transferable resilience-oriented framework for optimization of urban climate networks and heat risk mitigation in rapidly urbanizing regions.
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WOS关键词PATTERN
WOS研究方向Urban Studies
语种英语
WOS记录号WOS:001622660300001
出版者ELSEVIER SCI LTD
源URL[http://ir.igsnrr.ac.cn/handle/311030/219680]  
专题资源与环境信息系统国家重点实验室_外文论文
通讯作者Qiao, Zhi
作者单位1.Shandong Acad Agr Sci, Inst Agr Informat & Econ, Jinan 250100, Peoples R China;
2.South China Agr Univ, Guangdong Prov Key Lab Land Use & Consolidat, Guangzhou 510642, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China;
4.Tianjin Univ, Sch Environm Sci & Engn, Tianjin 300350, Peoples R China;
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GB/T 7714
Gao, Huan,Chen, Jiayue,Han, Dongrui,et al. Assessing the resilience and optimization potential of the summer urban heat island spatial networks using complex network theory: Evidence from 19 major Chinese urban agglomerations☆[J]. CITIES,2026,170:106683.
APA Gao, Huan,Chen, Jiayue,Han, Dongrui,Xu, Xinliang,Liu, Luo,&Qiao, Zhi.(2026).Assessing the resilience and optimization potential of the summer urban heat island spatial networks using complex network theory: Evidence from 19 major Chinese urban agglomerations☆.CITIES,170,106683.
MLA Gao, Huan,et al."Assessing the resilience and optimization potential of the summer urban heat island spatial networks using complex network theory: Evidence from 19 major Chinese urban agglomerations☆".CITIES 170(2026):106683.

入库方式: OAI收割

来源:地理科学与资源研究所

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