A lagrangian one-layer model of long-range transport of SO2 |
| |
| Institution: | 1. Department of Environmental Sciences and Engineering, Government College University Faisalabad, Pakistan;2. Department of Zoology, Government College University, Faisalabad, Pakistan;3. Department of Zoology, College of Science, King Saud University, Saudi Arabia;4. Texas A&M University, College Station, TX, USA;1. Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;2. Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;3. Sanofi Inc., Translational Science, 350 Water Street, Cambridge, MA, 02141, USA;4. Sanofi Inc., Rare and Neurologic Diseases Therapeutic Area, 350 Water Street, Cambridge, MA, 02141, USA;5. Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA;6. Wallace H. Coulter Department of Biomedical Engineering, Emory University School of Medicine & Georgia Institute of Technology, Atlanta, GA, USA;7. Department of Biomedical Engineering, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA;8. Institute for NanoBioTechnology, Johns Hopkins University, Whiting School of Engineering Baltimore, MD 21218, USA;9. The Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA;10. Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;11. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA;1. State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, PR China;2. School of Environmental and Ecology, Chongqing University, Chongqing, 400044, PR China;3. School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin, 300401, PR China;4. Shaanxi Key Laboratory of Environmental Engineering, School of Environmental and Municipal Engineering, Xi''an University of Architecture and Technology, Xi''an, 710055, PR China;5. Beijing Key Laboratory of Function Materials for Molecule &Structure Construction, College of Materials Science and Engineering, University of Science and Technology Beijing, Beijing, PR China |
| |
| Abstract: | The daily mean concentrations of SO2 have been estimated using a simple trajectory model of long-range transport. Seasonal variations in the transformation rate of SO2 to sulphate are assumed. The mixing height varied from day to day depending on the stability conditions. The dry deposition velocity above the ground varies according to the season, cloud cover and time of day, while a constant value is applied above the sea. Under present model assumptions the variation of pollutant concentration with time at the receptor point arises only due to variable meteorological conditions. During the test period measured concentrations were often higher than estimated. However, the order of magnitude of pollutant concentration was well predicted. In future work, input meteorological data should have a finer resolution. Further, better parameterizations of sulphur dioxide concentrations at the start points of trajectories and wet deposition should be employed. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
