scholarly journals Validity Of aircraft noise data

1974 ◽  
Vol 55 (S1) ◽  
pp. S48-S48
Author(s):  
W. C. Storey ◽  
R. Yates ◽  
C. A. Sekyra
Keyword(s):  
2021 ◽  
Vol 263 (6) ◽  
pp. 854-862
Author(s):  
Etsushi Fujita ◽  
Taichi Higashioka ◽  
Manabu Sugiura ◽  
Osamu Kohashi

In recent aircraft noise survey in Japan, noise data is associated with each aircraft by flight log or by radio information including transponder signals. Especially, above Tokyo metropolitan area, flight tracks are tangled extremely each other, therefore assessments from various perspectives such as departure / arrival airport, used runway, aircraft model, and operator have been demanded for determining noise policies. However, for military aircrafts, it is not easy to identify their information with the same way as commercial aircrafts, because their flight logs are not disclosed and many of them do not emit transponder signals like commercial aircrafts. Therefore, manned 24 hours survey around air bases have been necessary to obtain flight information of military aircrafts. In this paper, we propose an AI-based analysis using captured aircraft images for obtaining actual flight data of military aircrafts. In the past trials, we could determine the takeoff/landing time and the aircraft model by the above method. Associating these information and noise data measured at monitoring stations, details of noise characteristics around the air base can be clearly grasped. Advanced analysis of the causes of noise impact will lead effective and concrete countermeasures.


2015 ◽  
Vol 119 (1215) ◽  
pp. 565-589 ◽  
Author(s):  
A. Filippone

AbstractThis paper contributes to the prediction of aircraft noise. The framework of our study is based on a comprehensive analysis, which includes sub-models for airframe, propulsion and propeller noise. The sources models are complemented by various accounts of interference phenomena, including fuselage scattering, propeller shielding, wing and flap effects. The propagation of the acoustic pressures from the noise sources is done through a number of additional sub-models, which include spherical spreading, Doppler effects, ground reflection, shear winds and temperature gradients through the atmosphere. We present some fly-over noise data. The data include measurements by 13 microphones at community locations, meteorological data, and flight recorder data packs, which provide the complete state of the aircraft along the noise trajectory. Examples of verification are shown for the turboprop airplane Dash8-Q400, both on approach and departure. A sensitivity analysis is carried out to investigate the importance of the uncertainty effects, which are split between internal (aircraft and propulsion), external (atmospheric environment), and aircraft position.


1975 ◽  
Vol 58 (1) ◽  
pp. 192-196 ◽  
Author(s):  
C. A. Sekyra ◽  
W. C. Storey ◽  
R. Yates
Keyword(s):  

1974 ◽  
Author(s):  
Birgitta Berglund ◽  
Ulf Berglund ◽  
Thomas Lindvall

1980 ◽  
Author(s):  
R. CHAPKIS ◽  
G. BLANKENSHIP ◽  
A. MARSH
Keyword(s):  

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