Prediction method of annual averaged atmospheric pollutant concentration using a numerical simulation

In order to obtain the annual averaged atmospheric pollution concentration by a numerical model, we classified the meteorological data for a year into 12 climate types, which occupy 76% of all data except for a rainy day. We then predicted the wind field distribution and the atmospheric pollutant concentration for a day for each type. The target region is Osaka, Japan and the size of the region is 160km x 370km. The annual averaged atmospheric pollutant concentration was calculated from the weight average of the frequency of each climate type. The correlation coefficient of the calculation and the observation for nitrogen dioxide, sulphur dioxide, and ozone became 0.63, 0.43, and 0.18, respectively. We think that there are some issues about the estimation of the amounts of HC and NOx emissions. However, it is suggested that it is possible to obtain the annual averaged atmospheric pollutant concentration by a numerical simulation.