| With the continuous development of economy and continuous investment in basic transportation construction in China,civil aviation industry has achieved unprecedented development,the number of flights has continued to increase,and the total volume of transportation has continued to expand.People are worried about the quality of the environment around the airport,and they are increasingly concerned about the pollutants emitted by aircraft.The non-volatile particulate matter emitted by aircraft not only affects the atmosphere,but also enters the human body with respiration,causing various diseases and endangering human health.Therefore,it is necessary to conduct relevant research on the non-volatile particulate matter emitted by civil aviation aircraft during the takeoff and landing phase.Aiming at the optimization problem of the non-volatile particulate emission model,the influencing factors of aircraft emissions are studied,the emission model modeling principle and the calculation model SCOPE11 method are introduced,the deficiencies of the model are analyzed,and the calculation method for fuel flow correction is proposed,using ground reference points to calculate nv PM emissions under actual aircraft operating conditions,making model calculation results closer to reality.Finally,this article uses two calculation models to calculate the non-volatile particulate matter emissions based on the same model,combined with fuel flow,smoke index and other data,and conduct a comparative analysis.It is found that the FF-MCM method can reflect better the nv PM emissions of the aircraft during the take-off and landing phase.On the basis of completing the calculation model of non-volatile particulate matter emissions,establish a non-volatile particulate matter emissions prediction system for civil aviation aircraft during take-off and landing phases,introduce its development basis,environment,development goals,etc.,and display the interactive interface and functions of the system,including: nv PM emission prediction of different types,nv PM emission prediction of an airport,nv PM emission prediction of an airline,nv PM emission prediction of a flight route,nv PM emission prediction based on the actual operating time of the airport,forecast based on the proportion of nv PM emission of different airlines in the airport and forecast based on the proportion of nv PM emissions of different operating aircraft types at airports.CAAC users,airport users,airline users and ordinary users can use system functions to predict different needs according to their own needs,and the results are displayed on the interface in intuitive charts.Aiming at airlines,airports,and the civil aviation industry,measures to reduce non-volatile particulate matter emissions are proposed to promote the green development of my country’s civil aviation industry and achieve ecological sustainable development.Based on the fuel flow correction and the BADA model,the work of revising the calculation method of non-volatile particulate matter emission was completed,and the non-volatile particulate matter emission prediction system of civil aviation aircraft during the landing and take-off phase was built.Related achievements provide data support for the green development of my country’s civil aviation industry and the realization of ecological sustainable development. |