Research On Airport Air Traffic Operation Mode Based On Air Quality

With the rapid development of the civil aviation transportation industry and the increasing environmental protection concept,the airport air quality problems have gradually become the focus of people around the world.Nowadays,the increasing flow of flights has gradually deteriorated the airport air quality,posing a serious threat to the health of passengers at the airport and the living environment of the surrounding residents.Therefore,the study of airport air traffic operation mode based on air quality is of great significance for predicting airport air quality quickly,efficiently and accurately.This paper takes the airport air quality assessment as the entry point,and builds the airport air traffic operation mode classifier as the core to carry out the airport air traffic operation mode research based on air quality.Firstly,under the premise of defining the boundary of the airport,qualitatively analyze the mechanism of the influence of the source on the air quality of the airport,briefly analyze the influencing factors of the airport air quality,and propose the airport air quality improvement measure.Then,by establishing an emission list of airport emission sources,using the atmospheric diffusion model and the established airport air quality assessment model,an airport air quality assessment method based on AAQI is proposed.After that,the concept of airport air traffic operation mode based on air quality is proposed,and the characteristics of airport air traffic operation mode are quantitatively explored based on the airport air quality assessment results.Finally,by comparing the classification performance of different classification algorithms,the random forest algorithm in machine learning is used to train,construct and optimize the airport air traffic operation mode classifier,and use the optimized airport air traffic operation mode classifier to achieve the prediction of airport air quality fastly,efficiently and precisely.The research results show that the optimized airport air traffic operation mode classifier has the characteristics of high speed,high efficiency,high precision,and good generalization ability in airport air quality prediction,which can help non-professors quickly understand the pollution trend of airport air quality in the future,and provide reference for the protection decision of passengers and residents around the airport before travel.