Study on resilience index of civil aviation airports under meteorological disasters

doi:10.16265/j.cnki.issn1003-3033.2024.06.1560

Abstract

Abstract:

To study the performance of different airports' resilience under meteorological disasters and the causes of their differences, firstly, the definition of airport resilience based on airport functional level was put forward, which covered three sub characteristics: resistance, robustness and recovery. Then, by calculating the airport functional level under meteorological disasters through flight data, airport resilience index and sub characteristic indices were obtained to reflect the airport's resilience. Finally, taking the disaster of the snowstorm as an example, the distribution pattern of resilience index of affected airports in the United States and the reasons for the differences of resilience index among different airports were analyzed. Furthermore, the performance of the resilience index of the affected airports under the disaster of winter storms, floods, tropical storms and tornadoes was analyzed. The impact of disaster types on airport resilience index was also analyzed. The results indicate that the difference of airport resilience index is mainly caused by the resistance index. The key factors that cause the difference in airport resilience index under snowstorm disaster are throughput, aircraft fuselage maintenance plan level and engine maintenance level. The resilience index of the airport under winter storm, flood and snowstorm is basically the same. The lowest relative difference of the resilience index is 7.519% and 5.521%, while the average relative difference is 23.021% and 21.037%. The calculation method of airport resilience index proposed in this paper can accurately reflect the resilience properties of airports.

Key words: meteorological disasters, airport resilience index, snowstorm, functional level, influence factor

CLC Number:

X913.4安全系统工程

QI Lin, HUAI Yongcheng, DAI Kejuan, CHEN Xiaolin, HUANG Xin. Study on resilience index of civil aviation airports under meteorological disasters[J]. China Safety Science Journal, 2024, 34(6): 20-28.

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机场	DFW	DTW	ASE
地区	南部	中西部	西部
R	24.592	17.789	6.348
R₁	24.566	17.748	6.015
R₂	0.018	0.031	0.150
R₃	0.008	0.011	0.183
机场	MGM	SUX	MTJ
地区	南部	中西部	西部
R	2.200	1.551	1.652
R₁	0.962	0.419	0.489
R₂	0.449	0.500	0.592
R₃	0.789	0.632	0.570

因素来源	因素类型	因素名称
环境子系统	机场设施因素	机场经纬度、海拔高度、土基强度
技术子系统	机场设施因素
技术子系统	服役时间、吞吐量、占地面积、跑道数量、跑道长度、跑道宽度、道面类型、导航设施类型、无线电类型、无线电频率、道面等级(Pavement Classification Number,PCN)、最大允许胎压类型
管理子系统	机场措施因素	飞机机身维修计划等级、发动机维护水平、机场救援和消防的投入

影响因素	韧性及子特性指数
影响因素	R₁	R₂	R₃	R
吞吐量	0.720^***	-0.752^***	—	0.525^***
机身维修计划等级	0.332^***	—	-1.317^***	0.414^***
PCN	0.156^**	—	—	—
海拔高度	—	0.204^**	—	—
发动机维护水平	—	—	0.895^***	1.016^***
跑道数量	—	—	-0.258^**	—

机场	韧性指数	机身维修计划等级	发动机维护水平
DFW	24.592	高	高
DTW	17.789	中	中
ASE	6.348	低	无
MGM	2.2	无	无
SUX	1.551	无	无
MTJ	1.652	无	无

气象灾害	起止时间	受影响的州	受影响机场数
2019年1月北美冬季风暴	1月16日— 1月21日	加利福尼亚州,科罗拉多州,北达科他州,南达科他州,密苏里州,明尼苏达州,印第安纳州,纽约州,佛蒙特州	55
2019年阿肯色河洪水	5月18日— 6月14日	俄克拉何马州,阿肯色州,堪萨斯州,密歇根州	16
热带风暴梅丽莎	10月11日— 10月14日	马萨诸塞州,特拉华州,马里兰州,新泽西州,弗吉尼亚州	12
2019年12 月美国南部龙卷风	12月16日— 12月17日	路易斯安那州,密西西比州,亚拉巴马州,田纳西州,佛罗里达州,佐治亚州	38