2018
DOI: 10.4209/aaqr.2017.11.0489
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Intercomparison of Atmospheric Dispersion Models Applied to an Urban Street Canyon of Irregular Geometry

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Cited by 4 publications
(4 citation statements)
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“…Compared to other street models, AEOLIUS/AEOLIUSF is not as commonly used in contemporary settings. Its accuracy is middle-of-the-range, being higher than STREET models but lower than SEUS models [24].…”
Section: Aeoliusf Aeoliusf (Assessing the Environmental Of Locations ...mentioning
confidence: 86%
See 1 more Smart Citation
“…Compared to other street models, AEOLIUS/AEOLIUSF is not as commonly used in contemporary settings. Its accuracy is middle-of-the-range, being higher than STREET models but lower than SEUS models [24].…”
Section: Aeoliusf Aeoliusf (Assessing the Environmental Of Locations ...mentioning
confidence: 86%
“…The choice of pollutant dispersion model plays a key factor in the accuracy of the results obtained [24]. The available modelling techniques were reviewed by Daly and Zannetti [25] over a decade ago, and more recently by Barratt [26] and Colls and Tiwary [27].…”
Section: Introductionmentioning
confidence: 99%
“…But also even more complex models are developed (such as LES) that can be used specifically in build-up areas and account for the impact of buildings and street orientation on the atmospheric transport (e.g. (Dezzutti et al, 2018;Tolias et al, 2018). However, more detailed models require more input data which, if uncertain, add additional uncertainty to the results.…”
Section: Atmospheric Transport Modelling In An Urban-industrial Complexmentioning
confidence: 99%
“…The investigation of air pollution in urban street environment has always been a difficult task due to the diverse arrangement of buildings, the uncertainty of the location of pollution sources and the complex turbulence characteristics of urban canopies [10] . Model simulation and field measurement are two main methods applied to the study of urban street air pollution [11] . In model simulation studies, urban street environment is often idealized, and there are unexpected differences between the results of numerical models and the actual situations [12] .…”
mentioning
confidence: 99%