DocumentCode
1791152
Title
Simulation of Leaking Gas Diffusion in an Urban Using 3D Map Sketch Up
Author
Yan-Yan Chu ; Xian-Hui Feng ; Qian-Xi Zhang ; Dong Liang
Author_Institution
Sch. of Eng., Sun Yat-sen Univ., Guangzhou, China
fYear
2014
fDate
25-26 Oct. 2014
Firstpage
650
Lastpage
654
Abstract
To study air pollution diffusion in an urban, 3D model of city geography is made by utilizing Google Sketch Up to extracting the maps of the building elevation and latitude and longitude from Google Earth. The flow field and pollutant diffusion in urban areas were researched by numerical simulation with Fluent according to the turbulence theory and the gas equation of motion. Evolutionary regularity of air pollution diffusion and the danger zone are discussed based on the simulation results. The simulation results show that the pollution concentrates below the leakage. The high concentration of gas zone presents to be a long and narrow elliptic area and expands over time, but after a long time it tends to be stable. Based on air pollution concentrate distribution, maps of danger zone are made in the urban maps from Google Earth, which can be useful to make emergency decisions.
Keywords
air pollution; atmospheric turbulence; computational fluid dynamics; geographic information systems; leak detection; numerical analysis; 3D map sketchup; 3D urban model; Fluent; Google Earth; Google SketchUp; air pollution concentrate distribution; air pollution diffusion; building elevation; building latitude; building longitude; city geography; danger zone maps; elliptic area; emergency decision making; flow field; gas motion equation; high-concentration gas zone; leaking gas diffusion simulation; map extraction; numerical simulation; pollutant diffusion; turbulence theory; urban areas; urban maps; Buildings; Computational modeling; Earth; Educational institutions; Google; Mathematical model; Solid modeling; Google Earth; air pollution; diffusion; urban;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location
Changsha
Print_ISBN
978-1-4799-6635-6
Type
conf
DOI
10.1109/ICICTA.2014.161
Filename
7003624
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