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Air quality modelling as a tool for sustainable urban traffic management

机译:空气质量建模作为可持续城市交通管理的工具

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This work intends to assess the impact of road traffic management on urban air quality at the street level. At the core of the applied methodology is the numerical modelling of wind flow and air pollutants dispersion in a typical European urban environment. Through the application of a Computational Fluid Dynamics (CFD) model, the synergies between the 3D configuration of the street-canyon, in addition to the impacts on the dispersion of CO and PM10 emitted by vehicles, were evaluated. Air quality simulations were performed for a study domain of approximately 250x1000 m~2 in the downtown of a medium sized Portuguese town, with average daily traffic of 21,400 vehicles. Different traffic scenarios were analysed based on the modification of the number and location of traffic lanes for typical meteorological boundary conditions. Complex dispersion patterns were obtained due to the effect of buildings and trees on the wind flow. Moreover, simulations for the different scenarios have shown distinct behaviours of the air pollutants due to the prevailing wind direction and road positioning. It was concluded that, for typical conditions, the closure of the two traffic lanes located on the south side of the main avenue and the two adjacent streets is the best solution for air quality improvement. This scenario leads to a 31% reduction in CO and PM10 concentrations on the North sidewalk and 81% on the South sidewalk when comparing to present conditions. The other alternative leads to a reduction of, respectively, 70% and 20%. The first scenario also leads to maximum decreases of 57% and 59%, respectively, in the CO and PM10 peak concentrations. These conclusions stress the importance of integrating the knowledge provided by the application of CFD models in urban planning and road traffic management with the goal of promoting urban sustainability.
机译:这项工作旨在评估道路交通管理对街道一级城市空气质量的影响。该应用方法的核心是在典型的欧洲城市环境中风和空气污染物扩散的数值模型。通过应用计算流体动力学(CFD)模型,评估了街道峡谷的3D配置之间的协同作用,以及对车辆排放的CO和PM10扩散的影响。在葡萄牙中型城镇的市区,对大约250x1000 m〜2的研究区域进行了空气质量模拟,平均每日交通量为21,400辆。根据典型气象边界条件下行车道的数量和位置的修改,分析了不同的交通场景。由于建筑物和树木对风的影响,获得了复杂的分散模式。此外,由于主要的风向和道路位置,针对不同场景的模拟已显示出空气污染物的不同行为。结论是,在典型情况下,关闭位于主干道南侧和两条相邻街道的两条行车线是改善空气质量的最佳解决方案。与当前情况相比,这种情况导致北人行道上的CO和PM10浓度降低了31%,南人行道上降低了81%。另一种选择是分别减少70%和20%。第一种情况还导致CO和PM10峰值浓度分别最大降低57%和59%。这些结论强调了将CFD模型的应用所提供的知识整合到城市规划和道路交通管理中以促进城市可持续性为目标的重要性。

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