{"title":"Field measurement and CFD simulation study on UHI in high-density blocks of Shanghai based on street canyons","authors":"Yuzhu Deng , Xiangfei Kong , Haizhu Zhou","doi":"10.1016/j.scs.2025.106302","DOIUrl":null,"url":null,"abstract":"<div><div>The impact of urban heat island (UHI) on urban environments and residents has worsened, especially at the block-scale, drawing significant research attention to thermal issues. This study analyzes typical Shanghai blocks through field measurements and simulations. First, 12-day field measurements in summer and winter captured UHI spatiotemporal distribution. The average urban heat island intensity (UHII) was 3.19 °C in summer (daytime 2.25 °C, nighttime 4.13 °C) and 1.93 °C in winter (daytime 1.54 °C, nighttime 2.33 °C). The maximum temperature difference between points reached 10.8 °C in summer and 4.09 °C in winter, with greater temperature fluctuations in single-functional blocks than in multifunctional ones. Then, based on simulations, linear and curve fitting equations for UHII with changes in solar radiation intensity (SRI) or wind speed showed accurate results. For the linear fitting, <em>a</em> ± 10 % change in SRI or wind speed resulted in <em>a</em> ± 0.26 °C or ∓0.16 °C change in summer UHII, and <em>a</em> ± 0.14 °C or ∓0.10 °C in winter UHII. Quantitative analysis of wind direction changes showed that high-density areas downwind of green spaces or waterfronts saw summer UHII drop by up to 91.61 %. Multiple regression analysis of street canyon node temperatures showed good fits for six blocks. This study provides theoretical support and references for UHI mitigation and block-scale planning.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"124 ","pages":"Article 106302"},"PeriodicalIF":10.5000,"publicationDate":"2025-03-15","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/S2210670725001799","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}
引用次数: 0
Abstract
The impact of urban heat island (UHI) on urban environments and residents has worsened, especially at the block-scale, drawing significant research attention to thermal issues. This study analyzes typical Shanghai blocks through field measurements and simulations. First, 12-day field measurements in summer and winter captured UHI spatiotemporal distribution. The average urban heat island intensity (UHII) was 3.19 °C in summer (daytime 2.25 °C, nighttime 4.13 °C) and 1.93 °C in winter (daytime 1.54 °C, nighttime 2.33 °C). The maximum temperature difference between points reached 10.8 °C in summer and 4.09 °C in winter, with greater temperature fluctuations in single-functional blocks than in multifunctional ones. Then, based on simulations, linear and curve fitting equations for UHII with changes in solar radiation intensity (SRI) or wind speed showed accurate results. For the linear fitting, a ± 10 % change in SRI or wind speed resulted in a ± 0.26 °C or ∓0.16 °C change in summer UHII, and a ± 0.14 °C or ∓0.10 °C in winter UHII. Quantitative analysis of wind direction changes showed that high-density areas downwind of green spaces or waterfronts saw summer UHII drop by up to 91.61 %. Multiple regression analysis of street canyon node temperatures showed good fits for six blocks. This study provides theoretical support and references for UHI mitigation and block-scale 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;