Practical dispersion modelling for buoyant elevated sources in a tropical region |
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| Institution: | 1. School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China;2. Laboratory of Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China;3. Key Laboratory of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China;4. College of Environment, Research Centre of Environmental Science, Zhejiang University of Technology, Hangzhou 310032, China;1. Energy & Emissions Research Lab, Mechanical & Aerospace Engineering, Carleton University, Ottawa, ON, Canada;2. Natural Resources Canada, Energy Technology Sector, Ottawa, Canada;3. Department of Civil and Environmental Engineering, Western University, London, ON, Canada;1. State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, 200092, Shanghai, China;2. Department of Architecture and Building Engineering, Niigata Institute of Technology, 1719 Fujiihashi, Kashiwazaki, Niigata, 945-1195, Japan;1. Indira Gandhi Delhi Technical University for Women, New Delhi, 110006, India;2. National Physical Laboratory, Council of Scientific and Industrial Research (CSIR), New Delhi, 110012, India |
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| Abstract: | The worst-case meteorological scenarios for the air pollution impact of coal-fired power stations located in tropical Australia are usually those of convective or seabreeze states. Under such conditions maximum hourly ground-level concentrations occur within 5 km of typical elevated sources and are potentially important unless either low sulphur coal is burnt (the usual situation for Australian coals) or restrictions are placed upon neighbouring land use. In such conditions even slightly complex surrounding terrain can cause major changes in surface and lower-level wind and turbulence characteristics, although the resultant effects on ground-level concentrations are probably relatively small. The monitoring data bases of an inland and a coastal power station in tropical Queensland give similar qualitative results to recent EPRI studies. Concurrent detailed meteorological measurements show that convective scaling techniques order both data sets in a satisfactory manner. The convective dispersion model of Spillane (1985, CSIRO internal report) has also shown more predictive skill than conventional approaches and emphasizes the importance of gathering vertical velocity statistics for most sites. Some of the forthcoming developments in related Australian dispersion work are outlined. |
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