JCE_V5_N4_CS2 Neela Priya Eruvaram Satyanarayana S.V. Rajesh Lakshmi Narayana Journal on Civil Engineering 2249 - 0779 5 4 26 35 Dispersion Model, CALPUFF Simulation, Particulate Matter, Airborne Uranium Containing Dust, Ambient Monitoring Location and Statistical Indicator Monitoring and reporting of air pollutants released from mining activities is a mandatory routine practiced all over the world. Air quality modeling was performed using WRF-CALPUFF model to predict dispersion of the emissions from mining operations. PM2.5 and PM10 emissions were observed continuously using high volume air samplers at two ambient monitoring locations (AML-1&AML-2) near Tummalapalle Uranium mine in Y.S.R. Kadapa district, Andhra Pradesh, India. Prime concern was to assess current possible discharge of PM10 , PM2.5 and to predict potential emission of particulate matter, SO2 , NOx and airborne dust containing uranium into the atmosphere from mine. Measured concentrations of PM10 and PM2.5 from monitoring locations were compared with CALPUFF model predictions. Four statistical indicators have been computed to determine the models' ability to simulate observations. Statistical analysis indicated that, California Puff (CALPUFF) model has a tendency to under predict and the overall model's performance for two monitoring stations (AML-1&AML-2) was found to be good for PM10 when compared with PM2.5 (at AML-2 some statistical values were beyond the model acceptance range). The index of agreement varied from 0.39 to 0.43 and the total NMSE ranged from 0.08 to 8.36. The average 24hr peak concentrations of CALPUFF estimated pollutants (PM, SOx , NOx ) including uranium containing dusts were well within the Air Quality Standards (NAAQS and CPCB). September - November 2015 Copyright © 2015 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=3641