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Evaluation of Roadway Gaussian Plume Models with Large-scale Measurement Campaigns : Volume 5, Issue 4 (25/10/2012)

By Briant, R.

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Book Id: WPLBN0004009398
Format Type: PDF Article :
File Size: Pages 31
Reproduction Date: 2015

Title: Evaluation of Roadway Gaussian Plume Models with Large-scale Measurement Campaigns : Volume 5, Issue 4 (25/10/2012)  
Author: Briant, R.
Volume: Vol. 5, Issue 4
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Bugajny, C., Seigneur, C., Gadrat, M., & Briant, R. (2012). Evaluation of Roadway Gaussian Plume Models with Large-scale Measurement Campaigns : Volume 5, Issue 4 (25/10/2012). Retrieved from

Description: CEREA, Joint Research Laboratory École des Ponts ParisTech/EDF R&D, Université Paris-Est, 6–8 avenue Blaise Pascal, Cité Descartes, Champs-sur-Marne, 77455 Marne-la-Vallée Cedex 2, France. Gaussian models are commonly used to simulate atmospheric pollutant dispersion near sources because they provide an efficient compromise between reasonable accuracy and manageable computational time. The Gaussian dispersion formula provides an exact solution to the atmospheric diffusion equation for the dispersion of a pollutant emitted from a point source. However, the Gaussian dispersion formula for a line source, which is convenient to model emissions from on-road traffic, is exact only when the wind is perpendicular to the line source. A novel approach that reduces the error in the line source formula when the wind direction is not perpendicular to the road was recently developed. This model, combined with a Romberg integration to account for the road width, is used to simulate NOx concentrations in a large case study (1371 road sections representing about 831 km). NO2, NO and O3 concentrations are then computed using the photostationary-state approximation. NO2 concentrations are compared with measurements made at 242 locations in the domain area. Model performance is satisfactory with errors ranging from 24% to 31%. Results obtained here are also compared with those obtained with a previous formulation and with a standard model used for regulatory applications, ADMS-Urban. Discrepancies among the results obtained with those models are discussed.

Evaluation of roadway Gaussian plume models with large-scale measurement campaigns

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