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Graphics Processing Unit (GPU) Implementation Methodology of AERMOD Model

Neelima B., Anirudh Udupa G., Jane Shailoh Quadras, Gururaja Rao P.
Department of CSE, NMAMIT, Nitte, Karnataka, India
International Journal of Systems, Algorithms and Applications, Volume 3, Issue ICRASE13, 2013

@article{nmamit2013graphics,

   title={Graphics Processing Unit (GPU) Implementation Methodology of AERMOD Model},

   author={NMAMIT, Nitte and Karnataka, India},

   year={2013}

}

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Air pollution is one of the major problems the world is facing today. Air pollution is caused due to release of dangerous chemical substances such as carbon monoxide, CFC (Chlorofluorocarbon), carbon dioxide, hydro carbon, sulfur dioxide, etc. in to the atmosphere. These substances are produced by various anthropological activities such as usage of vehicles, factory activities, etc. There is a need to assess the air quality to prevent the ill effects of pollutants on the environment. Air Quality Modeling (AQM) is an attempt to predict or simulate the ambient concentrations of contaminants in the atmosphere. These models are used primarily as a quantitative tool to correlate cause and effect of concentration levels found in an area. There are numerous models proposed in this regard. This paper proposes a methodology for GPU implementation of American Meteorological Society/Environmental Protection Agency Regulatory Model (AERMOD) to evaluate the pollutant dispersion in atmosphere.
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