Wind Shear Operation-Based Competency Assessment Model for Civil Aviation Pilots

Author:

Li Fan1ORCID,Xu Xuezhi1,Li Jiayuan2,Hu Huiyun3,Zhao Mingda4,Sun Hong1

Affiliation:

1. CAAC Key Laboratory of Civil Aviation Flight Technology and Flight Safety, Civil Aviation Flight University of China, Guanghan 618307, China

2. School of Economics and Management, Civil Aviation Flight University of China, Guanghan 618307, China

3. Flight Standards Department, Civil Aviation Flight University of China, Guanghan 618307, China

4. Flight Department, China Eastern Airlines, Shanghai 201100, China

Abstract

Undesirable meteorological conditions are typical aviation flight safety threats. Although most meteorological radar and flight augmentation computers have avionic system wind shear alarms, the preferred approach is that pilots avoid unsafe wind shear events. Therefore, effective pilot competency evaluations are needed to assess pilots’ abilities to deal with these events. This study developed a wind shear operation competency model that includes observable behavior indicators, sub-task decomposition, and competency check items. An adapted competency model and a quantitative data-driven competency evaluation criteria optimization method were then developed using three-dimensional competency feature modeling, after which wind shear simulation flight training data were used to verify the effectiveness of the proposed method. The competency assessment grades were significantly correlated with the results from experienced examiners with a 93.33% evaluation accuracy. The proposed quantitative data-driven competency assessment method can provide effective pilot competency assessments for a range of aviation meteorological threats.

Funder

National Natural Science Foundation of China

CAAC Key Laboratory of Flight Technology and Flight Safety

College Students’ Innovative Entrepreneurial Training Plan Program

Publisher

MDPI AG

Reference24 articles.

1. Airport low-level wind shear lidar observation at Beijing Capital International Airport;Zhang;Infrared Phys. Technol.,2019

2. Choi, H.-W., Kim, Y.-H., Han, K., and Kim, C. (2021). Probabilistic Forecast of Low Level Wind Shear of Gimpo, Gimhae, Incheon and Jeju International Airports Using Ensemble Model Output Statistics. Atmosphere, 12.

3. Application of LIDAR-based F-factor in wind-shear alerting;Chan;Meteorol. Z.,2012

4. Low-Level Wind Shear Characteristics and Lidar-Based Alerting at Lanzhou Zhongchuan International Airport, China;Li;J. Meteorol. Res.,2020

5. IATA (2024, March 17). Annual Safety Report-2022-Executive Summary and Safety Overview. Available online: https://www.iata.org/contentassets/a8e49941e8824a058fee3f5ae0c005d9/safety-report-executive-and-safety-overview.pdf.

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