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Simulating meteorological profiles to study noise propagation from freeways

Shaffer, SR; Fernando, HJS; Ovenden, NC; Moustaoui, M; Mahalov, A; (2015) Simulating meteorological profiles to study noise propagation from freeways. Applied Acoustics , 92 102 - 114. 10.1016/j.apacoust.2014.12.010. Green open access

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Abstract

Forecasts of noise pollution from a highway line segment noise source are obtained from a sound propagation model utilizing effective sound speed profiles derived from a Numerical Weather Prediction (NWP) limited area forecast with 1 km horizontal resolution and near-ground vertical resolution finer than 20 m. Methods for temporal along with horizontal and vertical spatial nesting are demonstrated within the NWP model for maintaining forecast feasibility. It is shown that vertical nesting can improve the prediction of finer structures in near-ground temperature and velocity profiles, such as morning temperature inversions and low level jet-like features. Accurate representation of these features is shown to be important for modeling sound refraction phenomena and for enabling accurate noise assessment. Comparisons are made using the parabolic equation model for predictions with profiles derived from NWP simulations and from field experiment observations during mornings on November 7 and 8, 2006 in Phoenix, Arizona. The challenges faced in simulating accurate meteorological profiles at high resolution for sound propagation applications are highlighted and areas for possible improvement are discussed.

Type: Article
Title: Simulating meteorological profiles to study noise propagation from freeways
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.apacoust.2014.12.010
Publisher version: http://www.sciencedirect.com/science/article/pii/S...
Language: English
Additional information: Copyright © 2015 Elsevier Ltd. All rights reserved.
Keywords: Freeway noise; Meteorological profiles; Mesoscale modeling
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
URI: https://discovery.ucl.ac.uk/id/eprint/1461305
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