Rui Xiao-ping
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
Ding Zhen
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
Lu Jin
China Institute of Water Resources and Hydropower Research, Beijing, China
Song Xian-feng
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China
ABSTRACT
To overcome the deficiencies of conventional diffusion algorithms based on Cellular Automata (CA), a point source diffusion algorithm that considers water flow is proposed in this study. The diffusion process has two parts: the point source pollution diffusion process and the movement of pollution driven by water flow. First, the turbulent diffusion coefficient is introduced into conventional CA algorithm based on diffusion theory and used to amend the pollutant exchange coefficient, while this paper also improves the correction coefficient based on this amended exchange coefficient, which makes the algorithm agree better with the diffusion law. Second, to overcome the deficiencies of conventional CA diffusion simulation algorithms for water flow, it proposes a method known as particle tracing that calculates the pollution in each cell based on the velocity field, which implements the pollution diffusion effect driven by the water flow. Finally, the improved algorithm was used to simulate point pollution diffusion in the Fengdu area of Chongqing city in China with good results.
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How to cite this article
Rui Xiao-ping, Ding Zhen, Lu Jin and Song Xian-feng, 2013. Simulation of Point Source Pollution Diffusion Using a Velocity Field-cellular
Automata Coupled Method. Information Technology Journal, 12: 5424-5431.
DOI: 10.3923/itj.2013.5424.5431
URL: https://scialert.net/abstract/?doi=itj.2013.5424.5431
DOI: 10.3923/itj.2013.5424.5431
URL: https://scialert.net/abstract/?doi=itj.2013.5424.5431
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