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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水平的城市空气质量的影响。在应用方法的核心,是典型欧洲城市环境中风流量和空气污染物分散的数值模型。通过应用计算流体动力学(CFD)模型,还评估了街道 - 峡谷的3D配置之间的协同作用,除了对车辆发出的CO和PM10分散的影响之外,还进行了评价。在中等典型的葡萄牙城镇市中心约250×100000米〜2的研究领域进行了空气质量模拟,平均每日21,400辆交通。基于对典型气象边界条件的交通通道的数量和位置的修改来分析不同的交通场景。由于建筑物和树木对风流的影响而获得复杂的分散模式。此外,由于普遍的风向和道路定位,不同情景的模拟显示了空气污染物的不同行为。它的结论是,对于典型条件,位于主要大道南侧的两个交通车道和两个相邻的街道上是最佳空气质量改善的最佳解决方案。与现状比较,这种情况导致北侧人行道上的CO和PM10浓度和PM10浓度减少了31%,而南侧行人行道上的81%。其他替代方案导致分别减少70%和20%。第一种情况也导致CO和PM10峰浓度分别导致57%和59%的最大降低。这些结论强调了将CFD模型在城市规划和道路交通管理中展开的应用程序提供的知识的重要性,以促进城市可持续性的目标。

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