文献类型：期刊文献

英文题名：Spatiotemporal characteristics and robustness analysis of the thermal network in Beijing, China

作者：Cao, Xiang[1] Feng, Fei[1] Xu, Chengyang[1] Li, Xiaoting[2] Jia, Baoquan[3] Zhang, Lanqing[1] Yu, Qiang[1] Lafortezza, Raffaele[1,4]

第一作者：Cao, Xiang

通信作者：Feng, F[1];Lafortezza, R[1]

机构：[1]Beijing Forestry Univ, Res Ctr Urban Forestry, Key Lab Silviculture & Forest Ecosyst State Forest, Beijing 100083, Peoples R China;[2]Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, China Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China;[3]Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China;[4]Univ Bari Aldo Moro, Dept Soil Plant & Food Sci, Via Amendola 165 A, I-70126 Bari, Italy

年份：2025

卷号：119

外文期刊名：SUSTAINABLE CITIES AND SOCIETY

收录：;EI(收录号：20245217575634);Scopus(收录号：2-s2.0-85212590339);WOS:【SCI-EXPANDED(收录号:WOS:001393778900001)】；

基金：We would like to thank Wang Yu, a student of forest management in the Forestry College of Beijing Forestry University, for his enthusiastic help in this research. This study is funded by the National Natural Science Foundation of China (Grant No. 32401370) , the National Natural Science Foundation of China (Grant No. 3247130870) , the Fundamental Research Funds for the Central Universities (BLX 202201) and 5 & sdot; 5 Engineering Research & Innovation Team Project of Beijing Forestry University (BLRC2023B06) .

语种：英文

外文关键词：Heat island effect; MSPA model; MCR model; Robustness analysis; Multi-distance spatial cluster analysis; Sustainable development

摘要：With the acceleration of the process of urbanization, the urban heat island effect (UHI) is seriously impacting the ecological environment. At present, only a few studies have specifically analyzed the flow trajectory of heat, the change of heat sources, and the complexity of heat. Therefore, the city of Beijing, China, is used as a case study to analyze the mitigation of the UHI effect in large cities. The results show that: (1) the range of the sub-hightemperature zone fluctuated greatly, and the area proportion of four years (2003, 2013, 2018, and 2022) was 28.60 %, 35.53 %, 21.35 %, and 35.17 %, respectively; (2) the heat sources gradually aggregated and the heat corridors were gradually ordered from 2003 to 2022; and (3) the connectivity robustness initially decreased and then increased. When 76 points were removed from random attacks, connectivity robustness began to increase. Application of the above research and analysis will help planners and decision makers to quickly locate high-risk and critical areas of heat islands. It also regulates the urban thermal environment by optimizing the composition of heat source sites and the linkages between heat sources, providing an important reference for future urban planning and ecological protection as well as sustainable development.