乌鲁木齐机场“2023.4.7”东南大风下航班复飞原因分析及安全建议
Reasons Analysis for the Go-Arounds of Flights in the Southeast Gale on April 7, 2023 at Urumqi Airport and Safety Recommendations
DOI: 10.12677/ccrl.2024.133055, PDF,  被引量    科研立项经费支持
作者: 陈阳权, 朱雯娜, 尹才虎, 沙艳萍:民航新疆空中交通管理局气象中心,新疆 乌鲁木齐
关键词: 东南大风复飞激光雷达强侧风Southeast Gale Go-Around Lidar Strong Crosswind
摘要: 利用跑道自动观测数据、激光雷达资料等数据,对2023年4月7日(文中时间均为协调世界时UTC)夜间乌鲁木齐机场13架航班在低空复飞的不正常事件原因进行分析,结果表明:1) 13架航班复飞是在机场航班进港高峰期,R07跑道下滑道20 m/s以上的强侧风使得飞机在低空侧风超标,下滑道上强侧风层风速不均匀性引起较强的侧风切变,使得航空器在R07跑道降落过程中操纵困难导致复飞。2) 激光雷达侧风风速演变及其不均匀性在一定程度上揭示了飞机复飞时遭遇的强侧风以及因强侧风层的不均匀性导致的侧风切变,在此类天气的预警预报服务中可作为有用参考。3) 提出跑道低空风场综合监测告警的组合概念模型,可综合利用跑道AWOS资料、激光测风雷达资料计算侧风、风切变等数据,从点到面对跑道及其低空侧风、风切变进行有效的监测和告警,为航空运行实时提供有关跑道和下滑道风切变、强侧风的告警服务,使终端管制人员实时了解机场及周边运行的气象环境,对保障航空飞行安全有序十分有利。
Abstract: Utilizing runway Automated Weather Observing System (AWOS) data and lidar data, this study analyzes the unusual incident of go-arounds of 13 flights at low altitude during the night of April 7, 2023 (all times referenced are Coordinated Universal Time, UTC) at Urumqi Airport. The results show that: 1) The go-arounds of 13 flights occurred during the airport’s peak period for incoming flights, where strong crosswinds exceeding 20 m/s on the R07 runway glide path caused aircraft to exceed low-altitude crosswind limits. The uneven wind speed within the strong crosswind layer on the glide path led to significant crosswind shear, making it difficult for aircraft to maneuver during the landing process on the R07 runway, leading to go-arounds. 2) The evolution of the lidar-measured crosswind speed and its heterogeneity revealed the strong crosswinds and the crosswind shear caused by the unevenness of the strong crosswind layer during go-arounds, which can serve as useful reference in early warning and forecasting services for such weather. 3) A conceptual model for combining low-altitude wind field monitoring and warning on runways is proposed. This model can utilize runway AWOS data, laser wind radar to calculate crosswind, wind shear to effectively monitor and issue alarms for crosswinds and wind shear at runways and their low altitudes. This provides real-time alarms about wind shear and strong crosswinds on runways and glide paths helping ensure the safe and orderly operation of air travel. Real-time awareness of the meteorological environment at and around the airport by terminal control is highly beneficial to ensuring aviation flight safety and order.
文章引用:陈阳权, 朱雯娜, 尹才虎, 沙艳萍. 乌鲁木齐机场“2023.4.7”东南大风下航班复飞原因分析及安全建议[J]. 气候变化研究快报, 2024, 13(3): 506-513. https://doi.org/10.12677/ccrl.2024.133055

参考文献

[1] 刘德懿. 低高度复飞的安全思考[J]. 中国民用航空, 2012(6): 41-43.
[2] 董宗戈, 邓凯, 蔡旺. 大气探测激光雷达技术发展综述[J]. 光电技术应用, 2022, 37(6): 53-57.
[3] 王青梅, 郭利乐. 激光雷达在机场低空风切变探测中的应用[J]. 激光与红外, 2012, 42(12): 1324-1328.
[4] Hobois, L., Cariou, J.P. and Gultepe, I. (2019) Review of Lidar-Based Applications for Aviation Weather. Pure and Applied Geophysics, 176, 1959-1976. [Google Scholar] [CrossRef
[5] 梁希豪, 杨寅, 冯亮, 等. 基于测风激光雷达银川机场动量下传大风特征研究[J]. 激光技术, 2023, 47(3): 432-438.
[6] 吴俊杰, 王耀辉, 徐足音, 等. 基于多普勒激光雷达的机场边界层高度研究[J/OL]. 激光技术: 1-13.
http://kns.cnki.net/kcms/detail/51.1125.TN.20230404.1834.002.html, 2023-05-19.
[7] 李肖雅, 禹智斌, 刘冬, 等. 大风背景下首都机场两条跑道低空风切变特征统计[J]. 红外与激光工程, 2021, 50(12): 294-302.
[8] 张曦, 张建军, 丁媛媛, 等. 机场多普勒激光雷达风切变探测与识别[J]. 气象科技, 2021, 49(2): 184-191. [Google Scholar] [CrossRef
[9] 张开俊, 伏龙延, 李兰倩, 等. 基于激光测风雷达的两种低空风切变告警算法对比研究[J]. 干旱气象, 2021, 39(4): 652-661.
[10] 华志强, 黎倩, 黄轩, 等. 激光测风雷达在航空保障中的典型应用分析[J]. 激光技术, 2020, 44(5): 600-604.
[11] 代冰冰, 何敏, 杨靖新, 等. 利用激光雷达判别机场晴空风切变事件成因[J]. 气象科技, 2021, 49(4): 589-596. [Google Scholar] [CrossRef
[12] 黄轩, 郑佳锋, 张杰, 等. 西宁机场一次低空风切变的结构和特征研究[J]. 激光技术, 2022, 46(2): 206-212.
[13] 张家宝, 苏起元, 孙沈清, 等. 新疆短期天气预报指导手册[M]. 乌鲁木齐: 新疆人民出版社, 1986.