2012
DOI: 10.1016/j.jsv.2012.01.006
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Road traffic noise shielding by vegetation belts of limited depth

Abstract: Road traffic noise propagation through a vegetation belt of limited depth (15 m) containing periodicallyarranged trees along a road is numerically assessed by means of 3D finite-difference time-domain (FDTD) calculations. The computational cost is reduced by only modeling a representative strip of the planting scheme and assuming periodic extension by applying mirror planes. With increasing tree stem diameter and decreasing spacing, traffic noise insertion loss is predicted to be more pronounced for each plant… Show more

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Cited by 163 publications
(95 citation statements)
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“…Using a three-dimensional (3D) finite-difference-timedomain method, Van Renterghem et al 12 have investigated predictions of noise propagation through 15 m deep tree belts. They consider that noise attenuation by tree belts occurs due to three mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…Using a three-dimensional (3D) finite-difference-timedomain method, Van Renterghem et al 12 have investigated predictions of noise propagation through 15 m deep tree belts. They consider that noise attenuation by tree belts occurs due to three mechanisms.…”
Section: Introductionmentioning
confidence: 99%
“…justified by the full 3D calculations of sound propagation through tree belts as discussed in Ref. [2]. The (total) attenuation is then found by also accounting for the geometrical divergence.…”
Section: Calculation Methodologymentioning
confidence: 99%
“…The major assumptions allowing this split-up in sound propagation in two orthogonal planes are the independency [15][16] [2][17] of the soil effect from the multiple scattering process in such a relatively sparse environment like a tree belt, the limited importance of trunk height in road traffic noise applications [2], and the equivalence between a point source and a coherent line source when expressing results relative to free field sound propagation [18]. …”
Section: Calculation Methodologymentioning
confidence: 99%
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