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面向飞行高度层优化的凝结尾和风因素综合指数法 被引量:4

Synthetic Index Method Based on Factors of the Contrail and Wind Facing Optimization for Flight Level
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摘要 飞行高度层的选择是航空公司制定飞行计划的重要内容。为了节能减排、保护环境、提高航空公司利益,提出基于凝结尾和风因素的综合指数法来优化飞行高度层。将飞行高度层上的风和凝结尾因素归一化为风因数和凝结尾因数,确定最小综合指数对应的高度层为优化高度层。以四川航空公司成都双流至上海浦东的航段为例进行验证。实例表明,使用优化后的飞行高度层可以降低凝结尾的生成;并有效利用风向,达到节约成本,减少环境影响的目的。 The choice of the flight level is an important part of airlines flight plans.Focus on energy efficiency,environment protection and airline interest,a synthetic index method based on factors of the contrail and wind was proposed to optimize the flight level.The contrail and wind factors at the flight level are normalized to wind and contrail index,and the height corresponding to the minimum synthetic index is the optimum height.Finally,the case that the flight of Sichuan Airlines from Chengdu to Shanghai was studied.It is demonstrated that the use of the optimized flight height level helps to reduce the formation of contrails,save costs and decrease the impact of environment because of the effective use of wind direction.
作者 王凯 李杰 彭科豫 李印凤 赵志奇 WANG Kai;LI Jie;PENG Ke-yu;LI Yin-feng;ZHAO Zhi-qi(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China;Sichuan Airlines Operation Control Center,Chengdu 610000,China;State Key Laboratory of Air Traffic Management System and Technology,Nanjing 210007,China)
出处 《科学技术与工程》 北大核心 2018年第7期80-84,共5页 Science Technology and Engineering
基金 国家自然科学基金(61671237) 江苏省自然科学基金(BK20170157)资助
关键词 凝结尾 高空风 飞行高度层 综合指数法 环境保护 contrail high altitude wind flight level synthetic index method environmental protection
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  • 1徐肖豪,杨国庆,刘建国.空管中轨迹预测的一种变结构IMM算法[J].交通运输工程与信息学报,2003,1(1):70-74. 被引量:5
  • 2李昌禧,陈晓玲,葛强.密封箱体内相对湿度的数学模型与仿真[J].华中科技大学学报(自然科学版),2005,33(11):80-82. 被引量:5
  • 3赵柏林.大气探测学教程.
  • 4Eurocontrol Experimental Center. User Manual for the Base of Aircraft Data ( BADA), Revision 3.9 [ R]. EEC Technical / Scientific Report No. 11/03,2011.
  • 5Hu J, Prandini M, Sastry S. Aircraft Conflict Prediction in the Presence of a Spatially Correlated wind Field [ J ]. IEEE Transactions on Intelligent Transportation Systems, 2005,6 (3) :326 -340.
  • 6Maggie Q ,Zheng Y J Z. Modeling Wind Uncertainties for Sto- chastic Trajectory Synthesis [ C ]//21 th AIAA Aviation Tech- nology, Integration, and Operations ( ATIO ) Conference. Vir- ginia : AIAA ,2011 : 1 - 22.
  • 7Kim Yong- Kyun, Jo Yun- Hyun, Yun Jin- Won. En- Route Trajectory Calculation using Flight Plan Information for Ef- fective Air Traffic Management[J]. Journal of Information Processing Systems, 2010,6 ( 3 ) : 375 - 383.
  • 8吴鹍,潘薇.基于数据挖掘的四维飞行轨迹预测模型[J].计算机应用,2007,27(11):2637-2639. 被引量:39
  • 9Brasseur G P,Gupta M.Impact of aviation on climate:Research priorities[J].Bulletin of the American Meteorological Society,2010,91(4):461-463.
  • 10Boucher O.Atmospheric science:Seeing through contrails[J].Nature Climate Change,2011,1:24-25.

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