Atmospheric dispersion under non-homogeneous and unsteady conditions |
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| Institution: | 1. Key Laboratory of Catalysis Conversion and Energy Materials Chemistry of Ministry of Education, South-Central Minzu University, Wuhan, 430074, PR China;2. Engineering Research Center for Heavy Metal Pollution Control of Hubei Province, South-Central Minzu University, Wuhan, 430074, PR China;3. Daye Nonferrous Corporation, Huangshi, 435005, PR China;1. Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;2. IEC group, Depto. Ingeniería Química y Nuclear, Universitat Politècnica de València, Camí de Vera s/n, Valencia 46022, Spain;3. Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA;4. Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139, USA |
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| Abstract: | Accidental releases of toxic material can give rise to serious air pollution situations. The behaviour of such releases is frequently quite different from that of normal chimney plumes and is highly unpredictable since their extent and occurrence cannot be known in advance. Thus one has to resort to computational simulation procedures for reasonable estimates of pollutant dispersion parameters in the atmosphere. In the present study efforts are made to develop such simulation procedures. Computer software is developed which can be obtained free of cost from the authors to simulate pollutant dispersal from continuous/short-term, steady/fluctuating, surface/elevated sources in stationary/non-stationary and homogeneous/non-homogeneous atmosphere using basic Gaussian theory. Validity and limitations of developed software are demonstrated through comparison of results obtained using different programs and field measurements. In general, the predicted results appear to be quite logical and the computer software prepared may prove to be a valuable aid in estimating the extent of air pollution. |
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