Numerical predictions for environmental acoustics : simulation of atmospheric fields and integration in a propagation model

Outdoor sound prediction is both a societal stake and a scientific issue. Thus this paper deals with numerical simulations of micrometeorological (temperature and wind) fields for environmental acoustics. This is carried out through new developments in the reference mesoscale meteorological model at Météo-France (Meso-NH). Meso-NH predictions at very fine scales (up to 1m) including new developments (drag force approach) are validated both numerically and experimentally under stable, unstable and neutral conditions. Then, this information can be used as input data for acoustic models. Our time domain acoustic model is based on the Transmission Line Matrix method (TLM). Its development has been carried out in order to be applied to outdoor sound propagation, i.e. in order to take into account topography, ground impedance, meteorological conditions, etc. The numerical validation of the TLM method by comparison with other models shows the relevance of its use in the context of environmental acoustics. Finally, thanks to these models, simulated noise levels in different propagation conditions were compared to in situ measurements. Satisfying results were obtained regarding the observed phenomena variability. A feasibility study on a more complex experience (LTMS) leads to consider the TLM as a promising method in the context of environmental acoustics.

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Additional Info

Field Value
Source Acoustics 2012
Author Aumond, Pierre, Gauvreau, Benoît, Lac, Christine, Masson, Valéry, Berengier, Michel
Maintainer CCSD
Last Updated May 10, 2026, 03:29 (UTC)
Created May 10, 2026, 03:29 (UTC)
Identifier hal-00850695
Language en
contributor Département Infrastructures et Mobilité (IFSTTAR/IM) ; Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-PRES Université Nantes Angers Le Mans (UNAM)
creator Aumond, Pierre
date 2012-04-23T00:00:00
harvest_object_id b23eb7fc-0781-4bd9-8b0d-bf9c1d0f43cb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2025-10-23T00:00:00
set_spec type:COMM