Kang Zou , Xinyu Yu , Man Sing Wong , Kai Qin , Rui Zhu , Songyang Li
{"title":"用基于网络的方法探索城市热岛的时空演变模式","authors":"Kang Zou , Xinyu Yu , Man Sing Wong , Kai Qin , Rui Zhu , Songyang Li","doi":"10.1016/j.scs.2024.105926","DOIUrl":null,"url":null,"abstract":"<div><div>Exploring the development patterns of surface urban heat island (SUHI) has become crucial for formulating corresponding excess heat mitigation measures. However, there is currently a lack of analysis on the importance and interactions of different SUHI patches. This paper proposes a simple and effective method for measuring SUHI patterns, revealing the development patterns and growth trends of SUHI through spatial integration and interaction network construction. The results show that the values of nodes and edges in the SUHI network have continuously increased from 2005 to 2020, with an increase of the average importance index of nodes and the average interaction intensity of edges in the three regions by 40.2% and 23.6%, respectively. Moreover, the development pattern of SUHI exhibits a distinct unimodal characteristic. When the merging speed of SUHI patches exceeds the speed of new patch emergence, the total number of patches will decrease. The method proposed in this study demonstrates strong applicability across the three urban agglomerations and can be extended to other regions. The SUHI network enables the practical and efficient excess heat mitigation of heat island effects through the management (disruption) of key nodes. The corresponding heat island development hypothesis also enriches the theoretical understanding of heat island development.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"117 ","pages":"Article 105926"},"PeriodicalIF":10.5000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring the spatiotemporal evolution patterns of Urban Heat Island with a network-based approach\",\"authors\":\"Kang Zou , Xinyu Yu , Man Sing Wong , Kai Qin , Rui Zhu , Songyang Li\",\"doi\":\"10.1016/j.scs.2024.105926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Exploring the development patterns of surface urban heat island (SUHI) has become crucial for formulating corresponding excess heat mitigation measures. However, there is currently a lack of analysis on the importance and interactions of different SUHI patches. This paper proposes a simple and effective method for measuring SUHI patterns, revealing the development patterns and growth trends of SUHI through spatial integration and interaction network construction. The results show that the values of nodes and edges in the SUHI network have continuously increased from 2005 to 2020, with an increase of the average importance index of nodes and the average interaction intensity of edges in the three regions by 40.2% and 23.6%, respectively. Moreover, the development pattern of SUHI exhibits a distinct unimodal characteristic. When the merging speed of SUHI patches exceeds the speed of new patch emergence, the total number of patches will decrease. The method proposed in this study demonstrates strong applicability across the three urban agglomerations and can be extended to other regions. The SUHI network enables the practical and efficient excess heat mitigation of heat island effects through the management (disruption) of key nodes. The corresponding heat island development hypothesis also enriches the theoretical understanding of heat island development.</div></div>\",\"PeriodicalId\":48659,\"journal\":{\"name\":\"Sustainable Cities and Society\",\"volume\":\"117 \",\"pages\":\"Article 105926\"},\"PeriodicalIF\":10.5000,\"publicationDate\":\"2024-10-28\",\"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/S2210670724007509\",\"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/S2210670724007509","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}
Exploring the spatiotemporal evolution patterns of Urban Heat Island with a network-based approach
Exploring the development patterns of surface urban heat island (SUHI) has become crucial for formulating corresponding excess heat mitigation measures. However, there is currently a lack of analysis on the importance and interactions of different SUHI patches. This paper proposes a simple and effective method for measuring SUHI patterns, revealing the development patterns and growth trends of SUHI through spatial integration and interaction network construction. The results show that the values of nodes and edges in the SUHI network have continuously increased from 2005 to 2020, with an increase of the average importance index of nodes and the average interaction intensity of edges in the three regions by 40.2% and 23.6%, respectively. Moreover, the development pattern of SUHI exhibits a distinct unimodal characteristic. When the merging speed of SUHI patches exceeds the speed of new patch emergence, the total number of patches will decrease. The method proposed in this study demonstrates strong applicability across the three urban agglomerations and can be extended to other regions. The SUHI network enables the practical and efficient excess heat mitigation of heat island effects through the management (disruption) of key nodes. The corresponding heat island development hypothesis also enriches the theoretical understanding of heat island development.
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;