Study On The Characteristics And Influencing Factors Of Ambient Air Pollution In Tianjin Airport Area

The rapid development of the aviation industry has led to the outstanding problem of air pollution around airports,which has become an important issue in environmental management.To realize qualitative and quantitative assessment of the impact of air pollutants in the airport area is the basis for controlling of pollutant and reducing pollution levels.In this context,the following elements were highlighted.Firstly,the characteristics of air pollution in the airport region were analysed.The monthly,daily and hourly distribution characteristics of the six pollutants were analysed based on high temporal resolution data,and the differences in pollution levels between the airport region and the average of Tianjin city were compared.The results showed that the six air pollutants in the Tianjin airport area had significant month-to-month,day-to-day and time-to-time variation characteristics.16.5%and 12.6%of the days with the highest number of NO₂ and PM₁₀pollutants are polluted.The gaseous pollution is more serious than the average of Tianjin,and there are differences in the primary pollutants.Secondly,a comprehensive identification method of air pollution sources at the airport was proposed.Based on a polar plot to qualitatively identify emission sources with potential influence on pollutants in the airport area,a GAM was applied to identify pollutant impact factors and quantify the degree of contribution.The results show that there was a significant impact in the direction of the airport,not only related to aircraft emissions,but also to airport ground vehicle emissions.Environmental factors contribute most to SO₂,with a cumulative contribution of 84.2%.Meteorological factors contribute more to NO₂ and O₃ with a cumulative contribution of 45.9%and 50.0%.The flight activity factor contribute to NO₂,O₃ and PM_2.5,with cumulative contributions of 5.0%,19%and 5.3%.Finally,an improved proximity GAM was developed.Based on the interaction between wind direction and wind speed,the GAM was modified to find the best proximity model for pollutant concentration prediction.The results show that the best prediction results are highly approximate to the measured values,with the model Adj-R² ranging from 0.889 to 0.966.The improved model is more suitable for the prediction of SO₂,NO₂ and CO.