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A model study for ambient air quality analysis using routine meteorological observations
Affiliation:1. Department of Industrial and Production Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh;2. Bangabandhu Institute of Liberation War and Bangladesh Studies, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Gopalganj 8100, Bangladesh;3. Department of Disaster Management, Begum Rokeya University, Rangpur 5404, Bangladesh;4. Department of Development Studies, Daffodil International University, Dhaka 1216, Bangladesh;5. Department of Agribusiness, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur 1706, Bangladesh;6. Department of Sociology, First Capital University of Bangladesh, Chuadanga 7200, Bangladesh;1. Key Laboratory of Materials Physics, Centre for Environmental and Energy Nanomaterials, Anhui Key Laboratory of Nanomaterials and Nanotechnology, CAS Center for Excellence in Nanoscience, Institute of Solid State Physics, Chinese Academy of Sciences, Hefei, 230031, China;2. Centre for Clean Environment and Energy, Griffith University, Gold Coast Campus, QLD, 4222, Australia;1. University of Kwa Zulu-Nata, Pietermaritzburg, South Africa;2. University of Ghana Legon, Ghana;3. University of Johannesburg, South Africa;1. Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China;2. National Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, China;3. Shandong Provincial Mental Health Center, Jinan City, Shandong, China;4. Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, USA;1. Institute of Metal Research, Chinese Academy of Sciences, Shenyang, 110016, China;2. School of Electromechanical and Automotive Engineering, Yantai University, Yantai, 264005, China
Abstract:In the present study, more realistic and easily adaptable input parameters have been used with a view to investigating the long-range air quality analysis for the dispersion of air pollutants emitted from an area source with a multiple box model. The model formulation has been discussed at length for the ground level sources when convective conditions prevail. The routine meteorological observations have been used for the computation of sensible surface heat flux, friction velocity and mixing depth. A radiation model provides the estimates of the sensible surface heat flux. Based on the similarity theory, an iterative procedure has been adopted for the estimation of friction velocity which provides a coupling of radiation computation and the surface layer of the planetary boundary layer through surface heat flux expression. The important parameters—wind speed and eddy diffusivity profiles—have been derived and have been used to obtain the concentration patterns as hourly averages. The procedure could be easily adopted where observed meteorological parameters may be used for studying the dispersal of pollutants from the ground level sources.
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