Large-eddy simulation of wind flow and air pollutant transport inside urban street canyons of different aspect ratios

2008 ◽  
Author(s):  
Xianxiang Li
Keyword(s):  
Large Eddy Simulation ◽  
Pollutant Transport ◽  
Air Pollutant ◽  
Wind Flow ◽  
Street Canyons ◽  
Urban Street ◽  
Eddy Simulation ◽  
Urban Street Canyons ◽  
Aspect Ratios ◽  
Large Eddy

scholarly journals Flow and Pollutant Transport in Urban Street Canyons of Different Aspect Ratios with Ground Heating: Large-Eddy Simulation

2011 ◽  
Vol 142 (2) ◽  
pp. 289-304 ◽  
Author(s):  
Xian-Xiang Li ◽  
Rex E. Britter ◽  
Leslie K. Norford ◽  
Tieh-Yong Koh ◽  
Dara Entekhabi
Keyword(s):  
Large Eddy Simulation ◽  
Pollutant Transport ◽  
Street Canyons ◽  
Urban Street ◽  
Eddy Simulation ◽  
Urban Street Canyons ◽  
Aspect Ratios ◽  
Large Eddy

scholarly journals Large-Eddy Simulation of Flow and Pollutant Transport in Urban Street Canyons with Ground Heating

2010 ◽  
Vol 137 (2) ◽  
pp. 187-204 ◽  
Author(s):  
Xian-Xiang Li ◽  
Rex E. Britter ◽  
Tieh Yong Koh ◽  
Leslie K. Norford ◽  
Chun-Ho Liu ◽  
...  
Keyword(s):  
Large Eddy Simulation ◽  
Pollutant Transport ◽  
Street Canyons ◽  
Urban Street ◽  
Eddy Simulation ◽  
Urban Street Canyons ◽  
Large Eddy

scholarly journals Linear Error Dynamics for Turbulent Flow in Urban Street Canyons

2017 ◽  
Vol 56 (5) ◽  
pp. 1195-1208 ◽  
Author(s):  
K. Ngan ◽  
K. W. Lo
Keyword(s):  
Linear Theory ◽  
Free Atmosphere ◽  
Street Canyons ◽  
Urban Street ◽  
Eddy Simulation ◽  
Urban Street Canyons ◽  
Aspect Ratios ◽  
Large Eddy ◽  
Error Dynamics ◽  
Insight Into

AbstractThe ability to make forecasts depends on atmospheric predictability and the growth of errors. It has recently been shown that the predictability of urban boundary layers differs in important respects from that of the free atmosphere on the mesoscale and larger; in particular, nonlinearity may play a less prominent role in the error evolution. This paper investigates the applicability of linear theory to the error evolution in turbulent street-canyon flow. Using large-eddy simulation, streamwise aspect ratios between 0.15 and 1.50, and identical-twin experiments, it is shown that the growth rate of the error kinetic energy can be estimated from Eulerian averages and that linear theory provides insight into the spatial structure of the error field after saturation. The results should be applicable to cities with deep and closely spaced canyons. Implications for data assimilation and modeling are discussed.

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