Title: Modelling concentration fluctuations for operational purposes

Authors: François-Xavier Cierco; Lionel Soulhac; Pietro Salizzoni; Patrick Méjean; Guillevic Lamaison; Patrick Armand

Addresses: Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon CNRS, Ecole Centrale de Lyon, INSA Lyon; Université Claude Bernard Lyon I, 36 avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon CNRS, Ecole Centrale de Lyon, INSA Lyon; Université Claude Bernard Lyon I, 36 avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon CNRS, Ecole Centrale de Lyon, INSA Lyon; Université Claude Bernard Lyon I, 36 avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon CNRS, Ecole Centrale de Lyon, INSA Lyon; Université Claude Bernard Lyon I, 36 avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon CNRS, Ecole Centrale de Lyon, INSA Lyon; Université Claude Bernard Lyon I, 36 avenue Guy de Collongue, 69134 Ecully, France ' Commissariat à l'Energie Atomique et aux énergies alternatives, CEA-DAM, DIF Bruyères le Châtel, France

Abstract: We investigated the two first moments of the concentration distribution from a point source release thanks to wind tunnel measurements. The results were analysed with the statistical model from Yee et al. (1994). This model requires two parameters related to the larger scale velocity fluctuations and to the concentration variability due to smaller scale fluctuations respectively. A robust semi-empirical relation for the intensity of the concentration fluctuations was derived. Such a relation can be combined with the mean concentration estimates provided by a Gaussian puff model to compute the standard deviation of pollutant concentration.

Keywords: concentration fluctuations; fluctuation intensity; operational dispersion modelling; wind tunnel experiment; air pollution; air quality; pollutant concentrations.

DOI: 10.1504/IJEP.2012.049654

International Journal of Environment and Pollution, 2012 Vol.48 No.1/2/3/4, pp.78 - 86

Published online: 19 Nov 2014 *

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