Modeling Carbon Monoxide Level in Iran by CMAQ-WRF Coupled Model

Air pollutants modeling contribute to the understanding of the causes and extent of the air pollution problem and it is an essential step to lay down the right laws and appropriate policies to improve air quality. In this study the concentration of CO induced by emission of polluting sources in Iran has been modeled. Two winter weeks with different meteorological fluctuations is modeled. The model used in this research, CMAQ,is a comprehensive model in transport of pollutants and chemical reactions in the atmosphere. The CMAQ inputs comprise the meteorological and atmospheric conditions which are analyzed by a meteorological model called WRF. Results show that CMAQ can estimate the carbon monoxide variation based on metrological parameters but the results are less than the measured data, which can be related to low quality of emission data and coarse grid. Comparing the results of two weeks indicate a higher precision in the week with less meteorological change. The result of this study can be used in future researches, more accurate modeling, prediction of pollutant concentration and emission reduction strategies.