DocumentCode :
495675
Title :
Numerical Simulation of Dispersion of Air Pollutant around Buildings
Author :
Mu, Hailin ; Peng, Wang
Author_Institution :
Key Lab. of Ocean Energy Utilization & Energy Conservation of Minist. of Educ., Dalian Univ. of Technol., Dalian, China
Volume :
1
fYear :
2009
fDate :
March 31 2009-April 2 2009
Firstpage :
679
Lastpage :
683
Abstract :
A detailed and comprehensive numerical study of wind induced pollutant dispersion around buildings has been carried out. The previous numerical studies on pollutant dispersion around rectangular buildings were only investigated for limited situations. This paper constructs an actual buildings in a district characterized by Boiler Room for heating, and then computes the concentration profiles by simulating the flow field coupling the dispersion field around buildings. The numerical simulation results are compared with those from the Gaussian Model and from the experiments. The results of numerical simulation generally agree well with the experiments reported in the literature. It is also found that the numerical simulation predicts ground level pollutant concentrations better than the Gaussian Model in the near building wake. The numerical concentration is suitable for environmental impact evaluation and for warning residents to select outdoor sports or indoor sports.
Keywords :
air pollution; building; environmental factors; numerical analysis; Gaussian model; air pollutant dispersion; boiler room; concentration profile; dispersion field; environmental impact evaluation; flow field coupling; ground level pollutant concentration; heating; numerical simulation; rectangular buildings; wind induced pollutant dispersion; Air pollution; Boilers; Buildings; Computational fluid dynamics; Computational modeling; Computer science; Equations; Meteorology; Numerical simulation; Thermal pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
Type :
conf
DOI :
10.1109/CSIE.2009.204
Filename :
5171259
Link To Document :
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