中尺度对流系统影响下的空域容量评估研究  

Research of Airspace Capacity Evaluation under the Influence of Mesoscale Convective System

作　　者：路东林 段炼[1] 刘君豪 郭鹏宇 LU Dong lin;DUAN Lian;LIU Jun hao;GUO Peng yu(Civil Aviation Flight University of China,Guanghan 618000,China)

机构地区：[1]中国民用航空飞行学院,四川广汉618000

出　　处：《航空计算技术》2022年第3期47-51,共5页Aeronautical Computing Technique

基　　金：国家自然科学基金项目资助(42105087);中央高校基本科研业务费专项资金研究生科研项目资助(XSY2022-28)。

摘　　要：气象因素是影响空域容量的主要不可控因素之一。为了探讨强对流等恶劣天气的识别结合空域容量评估模型的可行性,并完成容量预测工作。采用引导滤波方法对葵花8气象卫星云图降噪处理,判定中尺度对流云团,依据网络最大流理论建立空域容量模型,使用动态阻塞系数表示中尺度对流系统对容量的动态影响,结合湖南管制空域及其气象信息对模型进行算例分析。结果表明,模型能对中尺度对流系统影响下的空域容量进行较为客观的评估。Meteorological factors are one of the main uncontrollable factors affecting airspace capacity.This paper aims to reflect the impact of meteorological factors on airspace capacity flow matching,explore the feasibility of combined the identification of severe weather such as strong convection with the model of airspace capacity evaluation,and complete capacity prediction.Firstly,the Guided Filtering method is used to denoise the cloud image of Himawari-8 meteorological satellite to determine the mesoscale convective cloud cluster.Then,according to the network maximum flow theory,the airspace capacity model is established,and the dynamic blocking coefficient is used to represent the dynamic impact of mesoscale convective system on the capacity.Finally,combined with Hunan controlled airspace and its meteorological information toanalyze for the model.The results show that this model can objectively evaluate the airspace capacity under the influence of MCS.

关 键 词：空域管理 容量评估模型 中尺度对流云团 葵花8气象卫星 动态阻塞系数 

分 类 号：V355[航空宇航科学与技术—人机与环境工程]