Title: A Lagrangian stochastic model for estimating the high order statistics of a fluctuating plume in the neutral boundary layer

Authors: Massimo Marro; Chiara Nironi; Pietro Salizzoni; Lionel Soulhac

Addresses: Laboratoire de Méchanique des Fluides et Acoustiques (LMFA), Université de Lyon, CNRS, Ecole Centrale Lyon, Université Claude Bernard, 36 Avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Méchanique des Fluides et Acoustiques (LMFA), Université de Lyon, CNRS, Ecole Centrale Lyon, Université Claude Bernard, 36 Avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Méchanique des Fluides et Acoustiques (LMFA), Université de Lyon, CNRS, Ecole Centrale Lyon, Université Claude Bernard, 36 Avenue Guy de Collongue, 69134 Ecully, France ' Laboratoire de Méchanique des Fluides et Acoustiques (LMFA), Université de Lyon, CNRS, Ecole Centrale Lyon, Université Claude Bernard, 36 Avenue Guy de Collongue, 69134 Ecully, France

Abstract: We use a Lagrangian stochastic micromixing model to predict the concentration fluctuations of a continuous release in a neutral boundary layer. We present the computational algorithm that implements the interaction by exchange with the conditional mean model and we compare the numerical solutions with the experimental values in order to evaluate the reliability of the model. The influence of the source size on the concentration probability density function in the near and far-field is discussed and some shortcomings of the model are pointed out.

Keywords: atmospheric turbulence; concentration fluctuations; Lagrangian stochastic modelling; turbulent mixing; fluctuating plume; neutral boundary layer; micromixing; model reliability; source size; concentration probability density function.

DOI: 10.1504/IJEP.2014.065124

International Journal of Environment and Pollution, 2014 Vol.54 No.2/3/4, pp.233 - 241

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 13 Oct 2014 *

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