Paper
3 November 2010 Modeling toxic gas dispersion over urban area using GIS and CFD
Maohui Zheng, Simin Jiang, Xiaoqiu Ai, Yuerong Guo
Author Affiliations +
Proceedings Volume 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications; 78411G (2010) https://doi.org/10.1117/12.873268
Event: The Sixth International Symposium on Digital Earth, 2009, Beijing, China
Abstract
To simulate toxic gas dispersion over urban area with consideration of the influence of wind, buildings and other obstacles within the dispersion site, an integrated strategy incorporating computational fluid dynamics (CFD) and GIS technologies is investigated. CFD is able to couple wind field with pollutant dispersion process and provide realistic simulation for geometrically complex scenarios, however, inadequate of geometry construction for urban scale applications. This paper focuses on how to take advantage of the available GIS data, the visualization and spatial discretization capabilities of GIS in CFD modeling. Topography and building data stored in GIS database are used to extract the detailed coordinates and heights of the buildings around the area of interest. Furthermore, a methodology of domain discretization, with restrict to underneath geometrical boundary, is proposed to construct computational grids for CFD simulations. For illustration purposes, a mixed residential and commercial area of Lujiazui in Shanghai is investigated. The CFD software, CFX5.5, is employed to predict plume concentrations, and the output can be rendered dynamically in GIS environment.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maohui Zheng, Simin Jiang, Xiaoqiu Ai, and Yuerong Guo "Modeling toxic gas dispersion over urban area using GIS and CFD", Proc. SPIE 7841, Sixth International Symposium on Digital Earth: Data Processing and Applications, 78411G (3 November 2010); https://doi.org/10.1117/12.873268
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Cited by 3 scholarly publications.
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KEYWORDS
Buildings

Geographic information systems

Data modeling

Toxic gases

Computer simulations

Atmospheric modeling

Visual process modeling

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