Selection of the parameters that influence the noise produced by aircraft on cities within the online monitoring systems

Authors

  • Laurentiu Cristea National Research and Development Institute For Gas Turbines COMOTI, Bucharest, Romania
  • Andreea Griguta „Politehnica” University, Bucharest, Romania
  • Radu Tanase National Research and Development Institute For Gas Turbines COMOTI, Bucharest, Romania
  • Marius Deaconu National Research and Development Institute For Gas Turbines COMOTI, Bucharest, Romania

Keywords:

applied acoustics, noise monitoring systems NMS, airport noise, ADS-B/MLAT, intelligent city, smartphone applications

Abstract

As almost a permanent issue around our lives, the noise pollution produced by aircraft in the surrounding airports areas is treated with major concern by airport management and local authorities. In the last years, through the deep penetrating of social networking and access to the information of a large-scale population, an important issue like airport related noise received a high interest. Noise monitoring modules integrated into airport monitoring systems, are used to measure sound level time history, identifying sound events and assigning the individual events to each particularly aircraft. A noise event is identified by threshold limits applied to the time history, as amplitude and duration. In order to create an automated monitoring system, the proper and optimal numbers of parameters which are stored, analysed, transmitted and displayed by smartphones, in order to create a large-scale information distribution of information to the population through smartphones and to contribute thereby to the general concept of smart city.

References

International Civil Aviation Organization (ICAO) Procedures for the Noise Certification of Aircraft annex 16 Vol I.

Directive 2002/49/EC of the European Parliament relating to the assessment and management of environmental noise; 2002.

International Civil Aviation Organization, Report on Environmental Management System (EMS) Practices, DOC 9968, 2012.

GEORGIEVA, H., GEORGIEV, K., Modeling of aircraft jet noise in airports, EDP Sciences, 2018.

European Commission, Flightpath 2050 – Europe's vision for aviation, Publications Office of the European Union, 2011.

European Commission, Commission implementing regulation (EU) 2017/386 /6 March 2017 amending no 1207/2011, Official Journal of the European Union, 60, 2017.

European Civil Aviation Conference, Doc 29: Report on Standard Method of Computing Noise Contours around Civil Airports, 4th ed., 1: Applications guide, November 2, 2017.

PRETTO, M., GIANNATTASIO, P., De GENNARO, M., ZANON, A., KUEHNELT, H., Forecasts of future scenarios for airport noise based on collection and processing of web data, European Transport Research Review, 2020.

COUVREUR, L., LANIRAY, M., Automatic noise recognition in urban environments based on artificial neural networks and hidden Markov models, Inter-noise, 2004.

ASENSIO, C., RUIZ, M., RECUERO, M., Real-time aircraft noise likeness detector, Applied Acoustics, 2010.

FERNÁNDEZ, L. S., PÉREZ, L. S., HERNÁNDEZ, J. C., RUIZ, A. R., Aircraft Classification and Acoustic Impact Estimation Based on Real-Time Take-off Noise Measurements, Neural Process Lett, Springer Science+Business Media, 2013.

KHARDI, S., Environmental impact reduction of commercial aircraft around airports, Less noise and less fuel consumption, European Transport Research Review, 2014.

ZHDANKO, I. M., ZINKIN, V. N., SOLDATOV, S. K., BOGOMOLOV, A. V., SHESHEGOV, P. M., Fundamental and Applied Aspects of Preventing the Adverse Effects of Aviation Noise, Human Physiology, 42, 7, 2016.

WRIGHT, M. D., NEWELL, K., MAGUIRE, A., O’REILLY, D., Aircraft noise and self-assessed mental health around a regional urban airport: a population-based record linkage study, Environmental Health, 17, 74, 2018.

GILADI, R., Real-time identification of aircraft sound events, Transportation Research Part D 87, 2020.

ISO 20906:2009, Acoustics - Unattended monitoring of aircraft sound in the vicinity of airports, 2009.

ECAC.CEAC Doc 29, Report on Standard Method of Computing Noise Contours around Civil Airports Volume 1: Applications Guide, 2016.

ECAC.CEAC Doc 29, Report on Standard Method of Computing Noise Contours around Civil Airports Volume 1: Applications Guide, 2016.

Common noise assessment methods for Europe (CNOSSOS-EU), Environmental Noise Directive (2002/49/EC).

Published

2021-01-18