Impact of emissions results from power generation on the air quality of selected urban areas in Kuwait

Air pollution in urban areas is a problem affecting many countries in the world and has important implications for health and environmental management. However, air quality prediction plays an important role in the controlling air pollution problem. Air-quality models are also extensively used in all aspects of air pollution control and to predict spatial and temporal dispersion of pollutants in the atmosphere. The main objectives of this work are to provide an overview of the pollutant levels and their trends in the study area (Rabia) and to predict the ground level concentrations of sulphur dioxide (SO2) and nitrogen oxide (NOx) mainly emitted from power generation stations by using Source Complex model for Short-term Dispersion (ISCST 4.5) for years 2001 and 2004. The hourly air pollutants concentrations were measured continuously by fixed ambient air stations located over the polyclinics in Rabia area in Capital Governorate in the State of Kuwait. [Continues.]