期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：11
页码：19052
DOI：10.15680/IJIRSET.2016.0511035
出版社：S&S Publications
摘要：To regulate the effect of industrial emissions on ambient air quality standards, it is important to knowabout the dispersion of pollutants through air pollution models. In the present study, the information on source emissionand meteorological data and the details of study area were collected. The contour maps for the distribution of SO2 andNO2 were generated during winter under maximum temperature conditions by using ISCST3 and AERMOD modelsover a period of five years. AERMOD has been used to analyze 24-hr maximum SO2 and NO2 concentrationsdownwind for all the five major industries studied (near Wipro Infotech Ltd.) over a period of five years during winterseason and compared with the values obtained from ISCST3 model under similar conditions. The results indicated thatAERMOD is slightly under-predicted the ground level pollutant concentration when compared to ISCST3. This may bedue to the fact that unlike ISCST3, AERMOD calculates mixing height and stability class based on meteorologicalparameters such as; cloud cover, temperature, wind velocity and solar incidence angle and it is not artificially varied orkept constant throughout the model run. Whereas, in ISCST3 model run, the stability class and mixing heights werekept constant throughout.
关键词：Ambient air quality; emission inventory; air quality prediction models; ISCST3.
