基于2016~2018年深航QAR数据及人工记录的空中颠簸分析  

Analysis of Air Turbulence Based on QAR Data and Manual Records of Shenzhen Airlines During 2016 to 2018

在线阅读下载全文

作  者:施何俊 杨军 林利斌 陈宗林 吴玥 SHI Hejun;YANG Jun;LIN Li bin;CHEN Zonglin;WU Yue(Shenzhen Airlines,Shenzhen 518128,Guangdong,China)

机构地区:[1]深圳航空有限责任公司,广东深圳518128

出  处:《民航学报》2021年第1期30-36,15,共8页Journal of Civil Aviation

摘  要:本文利用深圳航空2016~2018年QAR数据中的空中垂直过载数据及人工记录的颠簸事件,统计分析颠簸发生的气候规律和时空分布特征,探讨航空公司的应对措施。结果表明,春夏季节颠簸发生概率大于秋冬,夏季(6~8月)及下午12~14时是颠簸发生概率最高的时段,与雷暴活动规律相近。公司主要运行机场的颠簸发生在低高度FL150以下,冬春季节巡航高度上(FL250以上)发生的颠簸概率高于夏秋季节。人工报告的颠簸记录与QAR记录的对应关系较好,但人工颠簸报告的数据占比较小。航空公司可针对上述规律,对飞行和客舱人员进行提醒,采取适当的措施,减少颠簸的危害。同时后续可以利用QAR空中过载数据来检验颠簸数值预报的准确性。This paper uses the in-flight vertical overload data of QAR and manual records of Shenzhen Airlines during 2016 to 2018 to analyze the climatic regularity and spatial-temporal distribution characteristics of air turbulence and discuss the countermeasures of airlines. The results show that the probability of air turbulence in spring and summer was greater than that in autumn and winter, and summer(June-August) and 12-14 p.m. were the periods with the highest probability of air turbulence, which was similar to the activity of thunderstorm. Most turbulence at the main airports where the company operates occurred below FL150, and the probability of turbulence at cruise altitude(FL250 or above) in winter and spring was higher than that in summer and autumn. The corresponding relationship between the manual reports and the QAR records is good, but the data proportion of the manual reports is small. Airlines can warn flight and cabin crew and take appropriate measures to reduce the hazards of turbulence according to the above rules. At the same time, the QAR in-flight overload data can be used to verify the accuracy of numerical prediction of turbulence.

关 键 词:颠簸 QAR EDR 

分 类 号:V321.2[航空宇航科学与技术—人机与环境工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象