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Application of AERMOD to local scale diffusion and dispersion modeling of air pollutants from cement factory stacks (Case study: Abyek Cement Factory) | ||
| Pollution | ||
| مقاله 6، دوره 1، شماره 4، دی 2015، صفحه 417-426 اصل مقاله (914.8 K) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.7508/pj.2015.04.006 | ||
| نویسندگان | ||
| Alireza Noorpoor* 1؛ H. R. Rahman2 | ||
| 1Associate Professor, Graduate Faculty of Environmental, University of Tehran, Tehran, Iran | ||
| 2MSc Student of Environmental Engineering, University of Tehran, Tehran, Iran | ||
| چکیده | ||
| Today, the cement industry is one of the major air polluting industries in the world. Hence, in this study, owing to the importance and role of contaminants from the plant, an appraisal of the emission contributions in addition to other factors have been discussed. There are several reasons behind the importance of modeling air pollutants. First, the assessment of standards for air pollution, and the fact that the measurement points are limited. Furthermore, in all industrial areas, measurement and installation of assessment and monitoring stations are not feasible. The AERMOD model is a dispersion steady state model which is utilized to determine the concentration of various pollutants in different areas from urban and rural, flat and rough, shallow diffusion in height, from standpoint and different shallow sources. In this model, it is assumed that the dispersion of concentration in Stable Boundary Layer (SBL) in two horizontal and vertical directions are similar to that of horizontal within Gaussian convectional boundary layer (CBL). With regard to assessment of the parameters and pollutants of stack outlet, the amount of particulate matter was measured as the most important pollutant in the region. Then, via dispersion and diffusion modeling of pollution (AERMOD) along with environmental measurements, the nature of dispersion of this pollutant in the analysis of the surrounding areas was verified. According to the presented results, the highest level of concentration for particulate matters in all areas affected by cement factory amounts to 43.68 (μg/m3) which occurred at a distance of 1500 m in the east direction and 2100 m in the north direction. | ||
| کلیدواژهها | ||
| Air pollution؛ cement industry؛ diffusion and dispersion modeling؛ particulate matter | ||
| مراجع | ||
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Capelli, L., Selena Sironi, R.D.R. and Guillot, J.M.(2013). Measuring Odours in the Environment vs. Dispersion Modelling: A Review. Atmospheric Environment, 79: 731–43. Caputo, M., Giménez, M. and Schlamp, M. (2003). Intercomparison of Atmospheric Dispersion Models. Atmospheric Environment, 37(18): 2435–49. Chen, R. et al. (2010). Ambient Air Pollution and Daily Mortality in Anshan, China: A Time-Stratified Case-Crossover Analysis. The Science of the total environment, 408(24): 6086–91. Choi, Y., Hyde, P. and Fernando, H.J.S. (2006). Modeling of Episodic Particulate Matter Events Using a 3-D Air Quality Model with Fine Grid: Applications to a Pair of Cities in the US/Mexico Border. Atmospheric Environment, 40(27): 5181–5201. Garg, A. (2011). Pro-Equity Effects of Ancillary Benefits of Climate Change Policies: A Case Study of Human Health Impacts of Outdoor Air Pollution in New Delhi. World Development, 39(6): 1002–25. Ghannam, K., and El-Fadel, M. (2013). Emissions Characterization and Regulatory Compliance at an Industrial Complex: An Integrated MM5/CALPUFF Approach. Atmospheric Environment, 69: 156–69. Holmes, N.S., and Morawska, L. (2006). A Review of Dispersion Modelling and Its Application to the Dispersion of Particles: An Overview of Different Dispersion Models Available. Atmospheric Environment, 40(30): 5902–28. Kaur, S., Nieuwenhuijsen, M. and Colvile, R. (2005). Personal Exposure of Street Canyon Intersection Users to PM2.5, Ultrafine Particle Counts and Carbon Monoxide in Central London, UK. Atmospheric Environment, 39(20): 3629–41. Maroko, A.R. (2012). Using Air Dispersion Modeling and Proximity Analysis to Assess Chronic Exposure to Fine Particulate Matter and Environmental Justice in New York City. Applied Geography, 34: 533–47. Misra, A., Roorda, M.J. and MacLean, H.L. (2013). An Integrated Modelling Approach to Estimate Urban Traffic Emissions. Atmospheric Environment, 73: 81–91. Morselli, M. et al. (2012). Integration of an Atmospheric Dispersion Model with a Dynamic Multimedia Fate Model: Development and Illustration. Environmental pollution (Barking, Essex : 1987), 164: 182–87. O’Shaughnessy, P.T. and Altmaier, R. (2011). Use of AERMOD to Determine a Hydrogen Sulfide Emission Factor for Swine Operations by Inverse Modeling. Atmospheric environment (Oxford, England : 1994), 45(27): 4617–25. Rood, A.S. (2014). Performance Evaluation of AERMOD, CALPUFF, and Legacy Air Dispersion Models Using the Winter Validation Tracer Study Dataset. Atmospheric Environment, 89: 707–20. Singh, K.P, Shikha Gupta, A.K., and Prasad Shukla, S. (2012). Linear and Nonlinear Modeling Approaches for Urban Air Quality Prediction. The Science of the total environment, 426: 244–55. Tartakovsky, D., Broday, D.M. and Stern, E. (2013). Evaluation of AERMOD and CALPUFF for Predicting Ambient Concentrations of Total Suspended Particulate Matter (TSP) Emissions from a Quarry in Complex Terrain. Environmental pollution (Barking, Essex : 1987), 179: 138–45. Wu, Y. et al. (2006). Ambient Air Particulate Dry Deposition, Concentrations and Metallic Elements at Taichung Harbor near Taiwan Strait. Atmospheric Research, 79(1): 52–66. Zou, B. et al. (2011). Spatial-Temporal Variations in Regional Ambient Sulfur Dioxide Concentration and Source-Contribution Analysis: A Dispersion Modeling Approach. Atmospheric Environment, 45(28): 4977–85. | ||
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