{"title":"从连通性角度构建城市热网,缓解城市热岛效应","authors":"","doi":"10.1016/j.scs.2024.105774","DOIUrl":null,"url":null,"abstract":"<div><p>Urban heat islands (UHIs) have been investigated from various perspectives. However, little is known about UHI-mitigation strategies in terms of UHI networks and the overall connectivity. Therefore, we developed a research framework to construct a UHI network from a connectivity perspective in a typical “furnace city”—Fuzhou city, China. Initially, morphological spatial patterns, mean standard deviations, and landscape connectivity were analyzed to identify UHI sources and assess their importance. Subsequently, six natural and socioeconomic factors were integrated into the model to create a combined resistance surface for thermal diffusion. Finally, circuit theory was applied to build a UHI network and pinpoint key nodes. Our results show that the combined resistance increased from the center of the study area to the periphery. In addition, 38 UHI sources, 84 thermal corridors, 30 heating nodes, and 21 cooling nodes were identified. The UHI sources and key nodes were primarily distributed in an uneven manner in the nuclear and northwestern regions of the research area. Furthermore, cooling measures were developed for UHI networks to reduce network connectivity. Our research framework offers a new perspective for promoting healthy urban development and climate-adaptation planning.</p></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":null,"pages":null},"PeriodicalIF":10.5000,"publicationDate":"2024-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Constructing an urban heat network to mitigate the urban heat island effect from a connectivity perspective\",\"authors\":\"\",\"doi\":\"10.1016/j.scs.2024.105774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Urban heat islands (UHIs) have been investigated from various perspectives. However, little is known about UHI-mitigation strategies in terms of UHI networks and the overall connectivity. Therefore, we developed a research framework to construct a UHI network from a connectivity perspective in a typical “furnace city”—Fuzhou city, China. Initially, morphological spatial patterns, mean standard deviations, and landscape connectivity were analyzed to identify UHI sources and assess their importance. Subsequently, six natural and socioeconomic factors were integrated into the model to create a combined resistance surface for thermal diffusion. Finally, circuit theory was applied to build a UHI network and pinpoint key nodes. Our results show that the combined resistance increased from the center of the study area to the periphery. In addition, 38 UHI sources, 84 thermal corridors, 30 heating nodes, and 21 cooling nodes were identified. The UHI sources and key nodes were primarily distributed in an uneven manner in the nuclear and northwestern regions of the research area. Furthermore, cooling measures were developed for UHI networks to reduce network connectivity. Our research framework offers a new perspective for promoting healthy urban development and climate-adaptation planning.</p></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-08-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Cities and Society\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210670724005997\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CONSTRUCTION & BUILDING TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Cities and Society","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210670724005997","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
Constructing an urban heat network to mitigate the urban heat island effect from a connectivity perspective
Urban heat islands (UHIs) have been investigated from various perspectives. However, little is known about UHI-mitigation strategies in terms of UHI networks and the overall connectivity. Therefore, we developed a research framework to construct a UHI network from a connectivity perspective in a typical “furnace city”—Fuzhou city, China. Initially, morphological spatial patterns, mean standard deviations, and landscape connectivity were analyzed to identify UHI sources and assess their importance. Subsequently, six natural and socioeconomic factors were integrated into the model to create a combined resistance surface for thermal diffusion. Finally, circuit theory was applied to build a UHI network and pinpoint key nodes. Our results show that the combined resistance increased from the center of the study area to the periphery. In addition, 38 UHI sources, 84 thermal corridors, 30 heating nodes, and 21 cooling nodes were identified. The UHI sources and key nodes were primarily distributed in an uneven manner in the nuclear and northwestern regions of the research area. Furthermore, cooling measures were developed for UHI networks to reduce network connectivity. Our research framework offers a new perspective for promoting healthy urban development and climate-adaptation planning.
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;