When assessing the impact of air quality on the development project, it is estimated that the level of pollutant emission and its impact will be limited to the area surrounding the project. In addition, it is not possible to predict the effects of chemical reactions depending on the weather conditions.
However, since the air pollutants have a cumulative and wide-ranging characteristic of moving and reacting with the flow of air, there is a limit to the actual air quality improvement only by managing the pollution source in the area. In particular, it is difficult to analyze the correlation between the emission and the concentration of the secondary pollutants such as PM2.5 and O3, which have recently become more popular due to the lack of a simple logic in which high concentrations occur in regions with high emissions. However, in order to analyze the correlation between the amount of the emission and the concentration, it takes a considerable amount of time and expertise such as the three-dimensional air quality modeling, and it is not easy to repeatedly perform the influence of the air quality depending on each business or the emission amount change.
In this study, we first examine the effect of national total emissions by substance on the domestic air quality, and analyze which emission contributes to the high level or which region has the high concentration. In addition, contribution of the air pollutants to each municipality will be calculated to provide basic data for evaluating the appropriateness of the development plans for each municipality and for developing the