• GORAL PARIKH
• S. M. Usman

Air pollution is the major concerned type of pollution amongst all the types of pollutions like water pollution, land pollution, noise pollution, ground water contamination etc. Air pollution may be the result of natural sources or natural occurrences or human activities. Rapid increase and revolution in industrialization and increase in population are major reasons considered for increased air pollution in current era. Diminution of air pollution is the most important because it affects biotic as well as abiotic components present on the planet Earth. To diminish the air pollution, the first step shall be monitoring of air quality. Assessment of air pollutants emitted from industrial activities is necessary. Now-a-days, there are many active Air Pollution Dispersion Models being used widely, like CALPUFF, ISCST 3, SCREEN, AERMOD, Gaussian Plume Dispersion Model etc. However, AERMOD is most widely used Air Pollution Dispersion Model, which can be run with the use of Meteorological parameters as well as Emission data. AERMOD is the most popular and widely used air pollution dispersion model, which works on the concept of steady state Gaussian plume type model. In the country like USA, AERMOD is in widely used for prediction of Ground Level Concentration (GLC) since 2005 and then after countries like India as well as Australia have also recommended the use of AERMOD as air pollution dispersion model. In this paper, the review of various AERMOD run for different parameters for different purposes is studied.

AERMOD, Dispersion Model, Ground Level Concentration

"A REVIEW PAPER ON PERFORMANCE OF AERMOD FOR VARIOUS PARAMETERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.432-435, May-2020, Available :http://www.jetir.org/papers/JETIR2005201.pdf

"A REVIEW PAPER ON PERFORMANCE OF AERMOD FOR VARIOUS PARAMETERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp432-435, May-2020, Available at : http://www.jetir.org/papers/JETIR2005201.pdf