Method for Predicting the Probability of Dangerous Gusts of Wind in the Runway Area When Landing an Aircraft
https://doi.org/10.51955/2312-1327_2024_1_57
Abstract
The authors propose a method of predicting the probability of occurrence of dangerous gusts of wind in the runway area during landing of an aircraft, based on the use of the distribution of absolute maximum wind gusts during the observation period. The method makes it possible to design an aircraft landing system that allows, depending on the probability of wind gusts, to make various management decisions: permission to land, sending the aircraft on a goaround, or sending it to an alternate airfield.
About the Authors
Vitalii D. Rubtsov
The State Scientific Research Institute of Civil Aviation
Russian Federation
Russian Federation
Vitalii D. Rubtsov, Doctor of Technical Sciences, Professor, Honorary Worker of Science and Technology of the Russian Federation, Chief Scientific Officer,
67, k. 1, Mihalkovskaya str., Moscow, 125438.
Elena I. Trusova
Moscow State Technical University of Civil Aviation
Russian Federation
Russian Federation
Elena I. Trusova, Graduate Student,
20, Kronshtadtsky blvd., Moscow, 125493.
Alexandra L. Rybalkina
Moscow State Technical University of Civil Aviation
Russian Federation
Russian Federation
Alexandra L. Rybalkina, Candidate of Sciences in Technology, Associate Professor,
20, Kronshtadtsky blvd, Moscow, 125493.
References
1. ADS system Purpose, principle of operation. Transmitted information and transmission lines. Available at: https://studfile.net/preview/14539657/page:3/ (accessed 03 September 2023). (in Russian)
2. Afanasieva Y. S., Bogatkin O. G. (2017). Assessment of meteorological risks in civil aviation. Bulletin of the St. Petersburg State University of Civil Aviation. 1(14): 5-13. (in Russian)
3. Akhrameev V. I., Kostylev A. G., Plaksin D. V. (2020). Wind shear - a threat to flight safety. Flight Operations and Flight Safety Issues. 14: 206-212. (in Russian)
4. Baranov A. M., Solonin C. V. (1981). Aviation meteorology. Saint Petersburg: Gidrometeoizdat, 1981. 304 p. (in Russian)
5. Bogatkin O. G. (1986). Graphical method for forecasting aircraft chatter. Proceedings of the LGMI. 34: 84-87. (in Russian)
6. CPDLC – Towards new opportunities. (2019). Available at: https://www.aviaport.ru/digest/2019/05/23/589135.html/ (accessed 03 September 2023). (in Russian)
7. Guziy A. G. (2009). A systematic approach to flight safety management. Flight safety issues. Scientific and technical journal. 8: 9-15. (in Russian)
8. How does the ACARS system work? (2014). Available at: http://skynav.ru/likbez/acars/ (accessed 03 September 2023). (in Russian)
9. Institute of Radar Meteorology. KRAMS-4. Available at: http://iram.ru/iram/all_main.php?js=1&list_par=20-0. (accessed 02 September 2023). (in Russian)
10. Levin B. R. (1966). Theoretical foundations of statistical Radio Engineering. Moscow: Soviet radio, 1966. 728 p. (in Russian).
11. Manuilov S. A. (2021). Ensuring flight safety under the influence of unfavorable meteorological conditions on an aircraft. Flight safety issues. 10: 21-44. (in Russian)
12. Rubtsov V. D. (1978). Distribution of absolute maxima of the atmospheric noise envelope. Radio engineering and electronics. XXIII(3): 621-623. (in Russian)
13. Rubtsov V. D. (1997). Reception of wave disturbances using narrowly directed oscillations. Radio engineering and electronics. 42(6): 645-648. (in Russian)
14. Rubtsov V. D., Dubyansky S. A. (2015). Experimental studies of parametric devices for recording wave disturbances in air and water media on optical and ultrasonic probing beams. Scientific Bulletin of the MSTU CA. 213(3): 129-134. (in Russian)
15. Vorobyov V. I., Knyazev A. P. (1991). Synoptic meteorology. Leningrad: Gidrometeoizdat, 1991. 581 p. (in Russian)
Review
For citations:
Rubtsov V.D., Trusova E.I., Rybalkina A.L. Method for Predicting the Probability of Dangerous Gusts of Wind in the Runway Area When Landing an Aircraft. Crede Experto: transport, society, education, language. 2024;(1):57-66. (In Russ.) https://doi.org/10.51955/2312-1327_2024_1_57
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