Evaluating CO, NO2, and SO2 Emissions From Stacks of Turbines and Gas Furnaces of Oil and Gas Processing Complex Using AERMOD

Background & Aims of the Study: Air pollution is currently one most important industry challenges for countries. Much progress has been made in modeling air pollution, which AERMOD model, based on Gaussian model. This study investigates temporal changes NO2 , SO2 and CO pollutants emitted from stack turbines gas furnaces Maroon oil facilities Omidieh City, Iran. Materials Methods: First, concentration was measured using a Testo x-350 analyzer with an average accuracy ±3 ppm all three cold hot seasons 2018 to 2019. Each pollutant 3 times 15 minutes at 24-hour intervals. Then, emission rate each obtained by calculations. The performed 2500 Km2 entering data, technical specifications furnaces, topographic meteorological data into program. For validation, concentrations were aeroqual-200 0-25 CO, 0-1 0-10 10 stations. 20 modeled results then compared Iranian US-EPA environmental standards measurements. Results: hourly 102 μg/m3 156 respectively, less than standard (40000 μg m3 ), 1.18 1.78 (196 16 27 (200 ). higher ones. Conclusion: gases showed close agreement results. produced season warm due reasons such as increase volume heavier compounds moisture gases, well decrease wind. model had good estimate places where there no background pollutant.