Lattice-Boltzmann Large-Eddy Simulation of pollutant dispersion in street canyons including tree planting effects

Lucie Merlier Jérôme Jacob 1 Pierre Sagaut 1
1 M2P2 - Laboratoire de Mécanique, Modélisation et Procédés Propres
Abstract : This study assesses the performance of a large eddy simulation (LES) based on the lattice Boltzmann method (LBM) in predicting near field dispersion in street canyons with tree planting. Based on a benchmark test case benefiting from wind tunnel measurements (CODASC), this study qualitatively and quantitatively discusses the prediction of traffic-induced pollutant concentration with respect to several reference studies. It also analyses the physics of the flow and concentration fields. Although the problem might seem rather simple, the flow is highlighted to be strongly three dimensional and transient. These properties enhance pollutant dispersion in the empty street canyon but air flow velocity and turbulence intensity tend to decrease in tree crowns. This effect of trees increases both mean and peak concentration levels at pedestrian level, which may be problematic in cities with dense traffic. These results show that LBM-LES is particularly well suited to study dispersion problems towards the development of more breathable cities.
Keywords : Tree crowns 3D Street canyon Computational Fluid Dynamics Lattice Boltzmann Method Large Eddy Simulation Urban pollutant dispersion
Document type :
Journal articles
Complete list of metadatas

Cited literature [22 references]  Display  Hide  Download
https://hal-amu.archives-ouvertes.fr/hal-02114676
Contributor : Olivier Boutin <>
Submitted on : Monday, April 29, 2019 - 6:34:03 PM
Last modification on : Sunday, May 26, 2019 - 1:27:07 AM

File

merlier2018.pdf
Files produced by the author(s)

Identifiers

Collections

UNIV-AMU | EC-MARSEILLE | M2P2 | CNRS

Citation

Lucie Merlier, Jérôme Jacob, Pierre Sagaut. Lattice-Boltzmann Large-Eddy Simulation of pollutant dispersion in street canyons including tree planting effects. Atmospheric Environment, Elsevier, 2018, 195, pp.89-103. ⟨10.1016/j.atmosenv.2018.09.040⟩. ⟨hal-02114676⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

126

Files downloads

203

Contact

CCSD