WRF-CFD 耦合方法研究海陆风对街道尺度上随时间变化的交通污染物扩散的影响

IF 10.5 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Sustainable Cities and Society Pub Date : 2024-09-06 DOI:10.1016/j.scs.2024.105762
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引用次数: 0

摘要

在海陆风(SLB)的作用下,沿海城市的风速和风向会随时间发生急剧变化。因此,采用高时间分辨率的 WRF-CFD 耦合模型研究了典型海陆风日的街道尺度流场和交通污染物扩散情况。结果表明,登陆后海风与陆风发生碰撞,导致风速下降,并在 SLB 碰撞期间在街道网络中形成涡旋结构。这导致污染物在街道上积聚,并在非交通高峰时段出现浓度峰值。当晚间交通高峰期海风盛行时,街道上的平均风速达到 3 米/秒-1,因此这一时期的污染物浓度是全天最低的。不同时段污染物扩散和稀释能力由低到高的顺序如下:小巴碰撞时段、早高峰交通时段、其他非高峰交通时段和晚高峰交通时段。
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WRF-CFD coupling method to investigate the effect of sea-land breeze on dispersion of time-dependent traffic pollutant at street scales

Wind speed and direction in coastal cities change drastically over time under the effect of the sea-land breeze (SLB). Therefore, the flow field and traffic pollutant dispersion at the street scale are investigated by employing a WRF-CFD coupled model with a high temporal resolution during a typical SLB day. The results show that the sea breeze collides with the land breeze after landfall, causing a drop in wind speeds and the formation of vortex structures in the street network during the SLB collision period. This leads to the accumulation of pollutants in the streets and the peak concentration occurring during non-peak traffic hours. When the sea breeze prevails during the evening peak traffic period, the average wind speed in the street reaches 3 m s-1, which results in the pollutant concentration during this period being the lowest throughout the day. The order of the pollutant diffusion and dilution capacity from the lowest to the highest for different periods is as follows: SLB collision period, morning peak traffic period, other non-peak traffic period, and evening peak traffic period.

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来源期刊
Sustainable Cities and Society
Sustainable Cities and Society Social Sciences-Geography, Planning and Development
CiteScore
22.00
自引率
13.70%
发文量
810
审稿时长
27 days
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;
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