{"title":"Oil Refineries Emissions: Source and Impact: A Study using AERMOD","authors":"Amir. AL-Haddad, Hisham. Ettouney, Samiya. Saqer","volume":62,"journal":"International Journal of Chemical and Molecular Engineering","pagesStart":148,"pagesEnd":153,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/14099","abstract":"The main objectives of this paper are to measure\npollutants concentrations in the oil refinery area in Kuwait over three\nperiods during one year, obtain recent emission inventory for the\nthree refineries of Kuwait, use AERMOD and the emission inventory\nto predict pollutants concentrations and distribution, compare model\npredictions against measured data, and perform numerical\nexperiments to determine conditions at which emission rates and the\nresulting pollutant dispersion is below maximum allowable limits.","references":"[1] R. S. Ettouney, J. G. Zaki, M. A. El-Rifai, and H. M. Ettouney, \"An\nassessment of the air pollution data from two monitoring stations in\nKuwait,\" Toxicological & Environmental Chemistry., vol. 92, Aug.\n2010, pp. 655-668.\n[2] R. S. Ettouney, S. Abdul-wahab, and A. S. Elkilani, \"Emissions\ninventory, iscst, and neural network: modeling of air pollution in\nKuwait,\" International Journal of Environmental Studies., vol. 66, Aug.\n2009, pp. 181-194.\n[3] S. M. Al-Alawi, S. A. Abdul-Wahab, C. S. Bakheit, \"Combining\nprincipal component regression and artificial neural networks for more\naccurate predictions of ground-level ozone,\" Environmental Modeling &\nSoftware., vol. 23, Aug. 2008, pp. 396-403.\n[4] J. Gilham, et al., \"On the applicability of xps for quantitative total\norganic and elemental carbon analysis of airborne particulate matter,\"\nAtmospheric Environment., vol. 42, Aug. 2008, pp. 3888-3891.\n[5] A. Monteiro, et al, \"Air Quality Assessment for Portugal,\" Science of the\nTotal Environment., vol. 373, Aug. 2006, pp. 22-31.\n[6] C. A. Borrego, and C.A. Brebbia, Air Pollution XV. Belmont,\nWITPRESS, UK, 2007, pp. 15-113.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 62, 2012"}