Assessing the Internal Variability of Large-Eddy Simulations for Microscale Pollutant Dispersion Prediction in an Idealized Urban Environment-Reference-Cited by-同舟云学术

Assessing the Internal Variability of Large-Eddy Simulations for Microscale Pollutant Dispersion Prediction in an Idealized Urban Environment

Published:2024-01-27 Issue:2 Volume:190 Page:
ISSN:0006-8314
Container-title:Boundary-Layer Meteorology
language:en
Short-container-title:Boundary-Layer Meteorol

Author:

Lumet Eliott,Jaravel Thomas,Rochoux Mélanie C.,Vermorel Olivier,Lacroix Simon

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10546-023-00853-7.pdf

Reference88 articles.

1. Antonioni G, Burkhart S, Burman J, Dejoan A, Fusco A, Gaasbeek R, Gjesdal T, Jäppinen A, Riikonen K, Morra P, Parmhed O, Santiago J (2012) Comparison of CFD and operational dispersion models in an urban-like environment. Atmos Environ 47:365–372. https://doi.org/10.1016/j.atmosenv.2011.10.053

2. Armand P, Duchenne C (2022) 3d multi-scale weather and dispersion models applied to assess the impact of industrial plants on human health and the environment. In: Air pollution modeling and its application xxviii. Springer, Berlin, pp 51–63. https://doi.org/10.1007/978-3-031-12786-1_7

3. Baklanov A (2000) Application of CFD methods for modelling in air pollution problems: possibilities and gaps. Environ Monit Assess 65(1):181–189. https://doi.org/10.1023/A:1006442514766

4. Biltoft C (2001) Customer report for Mock Urban Setting Test. West Desert Test Center, U.S. Army Dugway Proving Ground, Utah, USA, DPG Document No. WDTC-FR-01-121

5. Blocken B, Gualtieri C (2012) Ten iterative steps for model development and evaluation applied to computational fluid dynamics for environmental fluid mechanics. Environ Model Softw 33:1–22. https://doi.org/10.1016/j.envsoft.2012.02.001