Atmospheric dispersion modeling near a roadway under calm meteorological conditions

•We investigate the dispersion of pollutant under calm meteorological situations.•We estimate vehicle emissions with local traffic data.•PM resuspension is included based on Positive Matrix Factorization analysis.•The atmospheric dispersion model is modified and is evaluated using measurements.•Mode...

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Bibliographic Details
Published in:Transportation research. Part D, Transport and environment Transport and environment, 2015-01, Vol.34, p.137-154
Main Authors: Fallah Shorshani, Masoud, Seigneur, Christian, Polo Rehn, Lucie, Chanut, Hervé, Pellan, Yann, Jaffrezo, Jean-luc, Charron, Aurélie, André, Michel
Format: Article
Language:English
Subjects:
Atmospheric diffusion
Atmospherics
Calm meteorological conditions
Dispersions
Emission model
Engineering Sciences
Environment and Society
Environmental Sciences
Gaussian
Gaussian plume model
Mathematical models
Metal concentrations
On-road traffic emissions
Other
PM resuspension
Pollutants
Pollution sources
Wind direction
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Summary:•We investigate the dispersion of pollutant under calm meteorological situations.•We estimate vehicle emissions with local traffic data.•PM resuspension is included based on Positive Matrix Factorization analysis.•The atmospheric dispersion model is modified and is evaluated using measurements.•Model performance is satisfactory for PM and PM components. Atmospheric pollutant dispersion near sources is typically simulated by Gaussian models because of their efficient compromise between reasonable accuracy and manageable computational time. However, the standard Gaussian dispersion formula applies downwind of a source under advective conditions with a well-defined wind direction and cannot calculate air pollutant concentrations under calm conditions with fluctuating wind direction and/or upwind of the emission source. Attempts have been made to address atmospheric dispersion under such conditions. This work evaluates the performance of standard and modified Gaussian plume models using measurements of NO2, PM10, PM2.5, five inorganic ions and seven metals conducted near a freeway in Grenoble, France, during 11–27 September 2011. The formulation for calm conditions significantly improves model performance. However, it appears that atmospheric dispersion due to vehicle-induced turbulence is still underestimated. Furthermore, model performance is poor for particulate species unless road dust resuspension by traffic is explicitly taken into account.
ISSN:1361-9209
1879-2340
DOI:10.1016/j.trd.2014.10.013