Title: ADS-B data usage for aircraft noise and air quality modelling and measurement during specific stages of LTO cycle

Authors: Kateryna Kazhan; Kateryna Synylo; Oleksandr Zaporozhets; Sergii Karpenko

Addresses: Department of Civil and Industrial Safety, National Aviation University, Kyiv, Ukraine ' Department of Civil and Industrial Safety, National Aviation University, Kyiv, Ukraine ' Łukasiewicz Research Network – Institute of Aviation, Warsaw, Poland ' Research Department, National Aviation University, Kyiv, Ukraine

Abstract: The paper is targeted at the analysis of the importance of Automatic Dependent Surveillance-Broadcast (ADS-B) data in the terms of overcoming gaps between aircraft noise and local air quality modelling results and their short or long-term measurements. Presented results based on noise and air pollution measurement campaign at Ukrainian airports describe general peculiarities of the pre-processing and usage of ADS-B data during specific stages of aircraft landing and taking-off (LTO) cycle in the airport. The outcomes could be used for more accurate noise and air pollution exposure assessment and the development of recommendations for noise and local air quality monitoring systems in airports under consideration.

Keywords: aircraft noise; air quality; airport; modelling; measurement.

DOI: 10.1504/IJSA.2023.127489

International Journal of Sustainable Aviation, 2023 Vol.9 No.1, pp.1 - 25

Received: 05 May 2022
Accepted: 05 Jun 2022
Published online: 06 Dec 2022 *