2005
DOI: 10.1016/j.atmosenv.2004.10.043
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A comparison of contaminant plume statistics from a Gaussian puff and urban CFD model for two large cities

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Cited by 57 publications
(23 citation statements)
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“…An excellent agreement with temperature measurements can be achieved by using fine tuned subgrid-scale surface parameterizations (Kinouchi and Yoshitani 2001); however, these models still do not allow the exact analyses of contaminant transport in an urban atmosphere as local emission levels are strongly dependent on fine flow structures such as urban canyon effects, building-specific lofting, and eddies in the wakes of buildings (Pullen et al 2005).…”
mentioning
confidence: 98%
“…An excellent agreement with temperature measurements can be achieved by using fine tuned subgrid-scale surface parameterizations (Kinouchi and Yoshitani 2001); however, these models still do not allow the exact analyses of contaminant transport in an urban atmosphere as local emission levels are strongly dependent on fine flow structures such as urban canyon effects, building-specific lofting, and eddies in the wakes of buildings (Pullen et al 2005).…”
mentioning
confidence: 98%
“…While "on demand" CFD calculations are not practical for these applications, there are a number of research groups investigating the use of computational fluid dynamics (CFD) models for fast response applications. Ideas range from coarse resolution simulations using drag [13,38] to library approaches where a large number of cases are pre-computed and results for specific cases are interpolated from the library [46,54].…”
mentioning
confidence: 99%
“…Actually, OPANA V4 includes a sophisticated CFD code (based on the MIMO model (University of Karlsruhe (Germany), 1996; Moussiopoulos et al 2005;Pullen et al 2005;Pospisil et al 2004;Ehrhard et al 2000)) which runs in diagnostic mode over a 1× 1-km model domain over highly dense populated areas in cities (Madrid, Las Palmas de Gran Canaria, etc.). The CFD code is called MICROSYS (San José et al 2007a, b) and has a resolution of 1-10 m, receiving traffic emission data from a sophisticated cellular automata model (CAMO)-developed also by the ESMG-FI-UPM (San José et al 2007a, b).…”
Section: Application and Resultsmentioning
confidence: 99%