气候变化领域集成服务门户(CCPortal): Application of Improved CFD Modeling for Prediction and Mitigation of Traffic-Related Air Pollution Hotspots in a Realistic Urban Street

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DOI	10.1016/j.atmosenv.2020.118127
	Application of Improved CFD Modeling for Prediction and Mitigation of Traffic-Related Air Pollution Hotspots in a Realistic Urban Street
	Lauriks T.; Longo R.; Baetens D.; Derudi M.; Parente A.; Bellemans A.; van Beeck J.; Denys S.
发表日期	2021
ISSN	1352-2310
卷号	246
英文摘要	The correct prediction of air pollutants dispersed in urban areas is of paramount importance to safety, public health and a sustainable environment. Vehicular traffic is one of the main sources of nitrogen oxides (NO x) and particulate matter (PM), strongly related to human morbidity and mortality. In this study, the pollutant level and distribution in a section of one of the main road arteries of Antwerp (Belgium, Europe) are analyzed. The assessment is performed through computational fluid dynamics (CFD), acknowledged as a powerful tool to predict and study dispersion phenomena in complex atmospheric environments. The two main traffic lanes are modeled as emitting sources and the surrounding area is explicitly depicted. A Reynolds-averaged Navier–Stokes (RANS) approach specific for Atmospheric Boundary Layer (ABL) simulations is employed. After a validation on a wind tunnel urban canyon test case, the dispersion within the canopy of two relevant urban pollutants, nitrogen dioxide (NO2) and particulate matter with an aerodynamic diameter smaller than 10 μm (PM10), is studied. An experimental field campaign led to the availability of wind velocity and direction data, as well as PM10 concentrations in some key locations within the urban canyon. To accurately predict the concentration field, a relevant dispersion parameter, the turbulent Schmidt number, Sct, is prescribed as a locally variable quantity. The pollutant distributions in the area of interest – exhibiting strong heterogeneity – are finally demonstrated, considering one of the most frequent and concerning wind directions. Possible local remedial measures are conceptualized, investigated and implemented and their outcomes are directly compared. A major goal is, by realistically reproducing the district of interest, to identify the locations inside this intricate urban canyon where the pollutants are stagnating and to analyze which solution acts as best mitigation measure. It is demonstrated that removal by electrostatic precipitation (ESP), an active measure, and by enhancing the dilution process through wind catchers, a passive measure, are effective for local pollutant removal in a realistic urban canyon. It is also demonstrated that the applied ABL methodology resolves some well known problems in ABL dispersion modeling. © 2020
英文关键词	Aerodynamics; Air pollution; Atmospheric boundary layer; Computational fluid dynamics; Electrostatic separators; Forecasting; Nitrogen oxides; Particles (particulate matter); Public health; Wind tunnels; Complex atmospheric environments; Electrostatic precipitation; Pollutant distribution; Strong heterogeneities; Sustainable environment; Traffic-related air pollution; Turbulent Schmidt number; Wind velocity and direction; Atmospheric movements; nitrogen dioxide; computational fluid dynamics; dilution; heterogeneity; nitrogen; nitrogen dioxide; particulate matter; pollutant removal; public health; simulation; air pollution; Article; Belgium; computational fluid dynamics; electrostatic precipitation; particulate matter; prediction; priority journal; traffic pollution; urban area; Antwerp [Belgium]; Belgium
语种	英语
来源期刊	Atmospheric Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/169058
作者单位	University of Antwerp - Research group Sustainable Energy, Air and Water Technology, Groenenborgerlaan 171, Antwerp, 2020, Belgium; von Karman Institute for Fluid Dynamics - Environmental and Applied Fluid Dynamics department, Waterloosesteenweg 72, Sint-Genesius-Rode, 1640, Belgium; Université libre de Bruxelles - Aéro-Thermo-Mécanique Department, Belgium; Politecnico di Milano - Dipartimento di Chimica, Materiali ed Ingegneria Chimica ”G. Natta”, Italy; Combustion and Robust Optimization Group (BURN), Université libre de Bruxelles and Vrije Universiteit Brussel, Bruxelles, Belgium; University of Texas at Austin - Department of Aerospace Engineering and Engineering MechanicsTX, United States
推荐引用方式 GB/T 7714	Lauriks T.,Longo R.,Baetens D.,et al. Application of Improved CFD Modeling for Prediction and Mitigation of Traffic-Related Air Pollution Hotspots in a Realistic Urban Street[J],2021,246.
APA	Lauriks T..,Longo R..,Baetens D..,Derudi M..,Parente A..,...&Denys S..(2021).Application of Improved CFD Modeling for Prediction and Mitigation of Traffic-Related Air Pollution Hotspots in a Realistic Urban Street.Atmospheric Environment,246.
MLA	Lauriks T.,et al."Application of Improved CFD Modeling for Prediction and Mitigation of Traffic-Related Air Pollution Hotspots in a Realistic Urban Street".Atmospheric Environment 246(2021).