The relationship between the convective boundary layer and dispersion from tall stacks |
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Affiliation: | 1. Scientific Research Center, Soran University, Soran, Erbil, Kurdistan Region, Iraq;2. Civil Engineering Department, College of Engineering, Komar University of Science and Technology, Sulaimany, Kurdistan Region, Iraq;3. Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Selangor, Malaysia;4. Department of Civil Engineering, Faculty of Engineering, University of Malaya, 50603, Kuala Lumpur, Malaysia;5. School of Engineering and Technology, Sunway University, Bandar Sunway, Petaling Jaya, 47500, Malaysia;6. Department of Civil Engineering, College of Engineering, Qassim University, Unaizah, Saudi Arabia;7. National Water and Energy Center, United Arab Emirates University, P.O. Box 15551, Al Ain, United Arab Emirates;8. Institute of Energy Infrastructure (IEI), Universiti Tenaga Nasional (UNITEN), 43000, Selangor, Malaysia;1. Institute of Health and Environment and Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea;2. Climate & Air Quality Research Department, National Institute of Environmental Research, Hwangyong-ro 42, Seogu, Incheon, South Korea;3. Graduate School of Public Health and Asian Institute for Energy, Environment & Sustainability, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, South Korea |
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Abstract: | This paper discusses the structure of the convective planetary boundary layer in relation to dispersion of pollutants. As tall stack plumes are brought down to the ground primarily during unstable conditions, we have investigated the conditions under which the PBL is convective. Our analysis indicates that the convective PBL occurs more often than is commonly thought. The second part of the paper describes some aspects of dispersion in the convective PBL. We propose a simple model capable of providing factor-of-two type estimates of ground-level concentrations. We also discuss some of the factors which complicate attempts to obtain more accurate results. In this context, we point out the problems associated with using model-predicted ensemble means to estimate observed concentrations. |
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