机场空中交通环境质量优化路径研究

Research on Optimization Path of Airport Air Traffic Environment Quality

机场空中交通环境质量的提升对实现机场的可持续发展、推动民航业发展绿色转型具有重要的意义。针对现有研究较少从多因素角度开展机场空中交通环境质量评价并对机场整体环境质量进行优化的缺陷,从大气污染物、航空器噪声和碳排放三个角度识别机场空中交通环境质量的影响因素,基于解释结构模型构建机场空中交通环境质量的优化路径;通过建立机场空中交通运行的概率场景,基于宽容分层序列法构建机场空中交通环境质量优化模型,并结合遗传算法进行求解。以南京禄口国际机场为例进行实证分析,结果表明:机型比例和航线结构是影响机场空中交通环境质量的关键因素,优化后机场空中交通环境质量内梅罗指数降低了32.5%,可有效改善机场空中交通环境质量。

The improvement of airport air traffic environment quality is of great significance for achieving sustainable development of the airport and promoting green transformation of the civil aviation industry.In response to the shortcomings of limited research on evaluating the quality of airport air traffic environment from multiple factors and optimizing the overall environmental quality of airports,this article identified the influencing factors of airport air traffic environment quality from three perspectives:atmospheric pollutants,aircraft noise,and carbon emissions,and constructed optimization paths for airport air traffic environment quality based on the interpretive structural model.By establishing probability scenarios for airport air traffic operations,an optimization model for airport air traffic environmental quality was constructed based on the tolerance hierarchical sequence method,and solved using genetic algorithms.Taking Nanjing Lukou International Airport as an example for empirical analysis.The results show that the proportion of aircraft types and route structure are the key factors affecting the quality of airport air traffic environment.After optimization,the Nemero index of airport air traffic environment quality has decreased by 32.5%,which can effectively improve the quality of airport air traffic environment.