{"title":"Combining the WRF model and LCZ scheme to assess spatiotemporal variations of thermal comfort in Shenzhen's built-up areas","authors":"Jiacheng Huang , Zhengdong Huang , Wen Liu","doi":"10.1016/j.scs.2025.106252","DOIUrl":null,"url":null,"abstract":"<div><div>Applying the local climate zone (LCZ) scheme is effective for guiding the urban morphology to enhance outdoor thermal comfort. Previous studies have extensively explored thermal comfort in built-up areas and their inter-LCZ variations by applying temperature attributes. However, the combined effects of other factors (humidity and wind speed) have received little attention, and intra-LCZ thermal comfort variations are not fully understood. This study aimed to assess spatiotemporal variations in thermal comfort across built-up LCZs based on multiple meteorological factors. We incorporated the Weather Research and Forecasting model with the LCZ scheme and calculated the net effective temperature using simulated air temperature, relative humidity, and wind speed. Inter-LCZ and intra-LCZ thermal comfort variations were analyzed using spatial autocorrelation and statistical methods. The study was conducted during both dry and wet seasons in the subtropical city of Shenzhen, China. The results revealed that 1) the southwestern area experienced the poorest thermal comfort during the wet season owing to high temperatures and low wind speeds; 2) significant inter-LCZ thermal comfort differences existed within the same season, with higher development intensity correlating to poorer thermal comfort; and 3) intra-LCZ thermal comfort varied across spatial locations and fluctuated with the season and time of day.</div></div>","PeriodicalId":48659,"journal":{"name":"Sustainable Cities and Society","volume":"122 ","pages":"Article 106252"},"PeriodicalIF":10.5000,"publicationDate":"2025-02-24","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/S2210670725001295","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
Applying the local climate zone (LCZ) scheme is effective for guiding the urban morphology to enhance outdoor thermal comfort. Previous studies have extensively explored thermal comfort in built-up areas and their inter-LCZ variations by applying temperature attributes. However, the combined effects of other factors (humidity and wind speed) have received little attention, and intra-LCZ thermal comfort variations are not fully understood. This study aimed to assess spatiotemporal variations in thermal comfort across built-up LCZs based on multiple meteorological factors. We incorporated the Weather Research and Forecasting model with the LCZ scheme and calculated the net effective temperature using simulated air temperature, relative humidity, and wind speed. Inter-LCZ and intra-LCZ thermal comfort variations were analyzed using spatial autocorrelation and statistical methods. The study was conducted during both dry and wet seasons in the subtropical city of Shenzhen, China. The results revealed that 1) the southwestern area experienced the poorest thermal comfort during the wet season owing to high temperatures and low wind speeds; 2) significant inter-LCZ thermal comfort differences existed within the same season, with higher development intensity correlating to poorer thermal comfort; and 3) intra-LCZ thermal comfort varied across spatial locations and fluctuated with the season and time of day.
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;