Line source emission modelling |
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| Institution: | 1. Department of Physics, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovi?a 4, Novi Sad, Serbia;2. “Vin?a” Institute of Nuclear Sciences, Laboratory for Theoretical and Condensed Matter Physics – 020, University of Belgrade, PO Box 522, 11001 Belgrade, Serbia;2. Department of Ophthalmology, University of Montreal, Montreal, Que;3. Instituto Oftalmologico de Piracicaba, Piracicaba, Sao Paolo, Brazil;1. Barcelona Supercomputing Center – Centro Nacional de Supercomputación (BSC-CNS), Earth Sciences Department, Jordi Girona 29, Edificio Nexus II, 08034 Barcelona, Spain;2. Environmental Modelling Laboratory, Technical University of Catalonia, Avda. Diagonal 647, Edificio H, Oficina 10.23, 08028 Barcelona, Spain;1. Department of Environmental Health, Harvard School of Public Health, 401 Park Drive, Landmark Center West, Boston, MA 02215, United States;2. Geoscience Institute, University of Brasília, Campus Darcy Ribeiro, Brasília, Distrito Federal 709109, Brazil |
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| Abstract: | Line source emission modelling is an important tool in control and management of vehicular exhaust emissions (VEEs) in urban environment. The US Environmental Protection Agency and many other research institutes have developed a number of line source models (LSMs) to describe temporal and spatial distribution of VEEs on roadways. Most of these models are either deterministic and/or statistical in nature.This paper presents a review of LSMs used in carrying out dispersion studies of VEEs, based on deterministic, numerical, statistical and artificial neural network techniques. The limitations associated with deterministic and statistical approach are also discussed. |
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