包含交通动力学细节的垂直城市街道交叉口空气污染瞬态扩散的数值模拟

IF 0.5 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
J. Pospíšil, M. Jicha
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引用次数: 3

摘要

在这项研究中,作者专注于利用计算机建模来详细识别配备红绿灯的垂直交叉口中的瞬态污染物扩散。客车被认为是十字路口空气污染的主要来源。汽车运动同时也是影响十字路口空气流动的主要驱动力。基于欧拉-拉格朗日方法的运动物体模型已集成到商业CFD软件包StarCD中。包含交通动力学用于正确描述分散过程。空气污染浓度场是从60、90和120秒的红绿灯切换期的数值预测中获得的。基于在与数值模型中几何形状相似的真实城市交叉口中进行的NOx浓度测量,评估了所开发的分散模型的正确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical modelling of transient dispersion of air pollution in perpendicular urban street intersection with detail inclusion of traffic dynamics
In this study, the authors focus on the utilisation of computer modelling for the detailed identification of transient pollutants' dispersion in a perpendicular intersection equipped with traffic lights. Passenger cars are considered as the main source of the air pollution in the intersection. Car movement is at the same time a major driving force affecting the air flow in the crossroad area. A model based on an Eulerian-Lagrangian approach to moving objects has been integrated into a commercial CFD software package StarCD. The inclusion of traffic dynamics is used for a correct description of dispersion processes. The air pollution concentration fields were obtained from numerical predictions for traffic light switching periods of 60, 90, and 120 s. The correctness of the developed dispersion model was assessed on the base of NOx concentration measurements carried out in a real city intersection with similar geometry as in the numerical model.
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
3
审稿时长
4.5 months
期刊介绍: IJEP provides an international forum in the field of environment and pollution and addresses early and medium-term challenges involving scientific prediction, modelling and assessment. It focuses on ground-breaking research in the science of environmental pollution, at the early scientific stage. It is one of three key journals which together offer complete coverage of environmental issues: IJETM focuses on technical/engineering, policy and management solutions for environmental problems, and IJGEnvI focuses on future, longer-term environmental scenarios, ecological economics, climate change and biodiversity.
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