Title: Pollutant source identification in a city district by means of a street network inverse model

Authors: Nabil Ben Salem; Lionel Soulhac; Pietro Salizzoni; Massimo Marro

Addresses: Laboratoire de Mécanique des Fluides et d'Acoustique, Université de Lyon CNRS, Ecole Centrale de Lyon, INSA Lyon, France; 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, France; 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, France; 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, France; Université Claude Bernard Lyon I, 36 avenue Guy de Collongue, 69134 Ecully, France

Abstract: This study presents the performances of an inverse modelling approach aiming to identify position and emission rate of a localised pollutant source placed within a city district. To that purpose we combine wind tunnel experiments and an urban dispersion model. Experiments are performed in an idealised urban canopy, made up of regularly spaced blocks, and provide the pollutant concentration field downwind from the source within the canopy. The urban dispersion model, named SIRANE, is an operational model that simulates the main mechanisms governing the pollutant transfer within a network of streets.

Keywords: inverse modelling; source identification; street network models; urban air pollution; air quality; city districts; atmospheric dispersion modelling; urban canopy; simulation; pollutant transfer.

DOI: 10.1504/IJEP.2014.065904

International Journal of Environment and Pollution, 2014 Vol.55 No.1/2/3/4, pp.50 - 57

Published online: 29 Nov 2014 *

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