2015International Journal of Database Theory and ApplicationOpen access

Noise Reduction-Oriented Flight Aircraft Type

Xia Feng, Sun Fangli, Min Lu

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Abstract

With the rapid development of civil aviation and raising public awareness of environmental issues, it is extremely crucial to reduce airport noise impact in the vicinity of airports.Reduction of noise at source and operation restrictions are two prominent noise abatement approaches, both of which reduce aircraft noise impact by selecting appropriate aircraft types for flights.However, reduction of noise at source requires high cost while operation restrictions would restrict the ability of full operation of the airport.To tackle with the above issue, the paper studies the problem of aircraft type selection for noise reduction, the target of which is to select aircraft type with the lowest noise from a variety of candidate types.To this end, the paper employs weighted equivalent continuous perceived noise level to measure the noise level, and then utilizes Integrated Noise Model (INM) to calculate noise impact area at the interval of noise level.Experimental results on Beijing International Airport noise monitoring dataset show that the proposed algorithm can indeed obtain the aircraft type with minimal aircraft noise impact.

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With the rapid development of civil aviation and raising public awareness of environmental issues, it is extremely crucial to reduce airport noise impact in the vicinity of airports.Reduction of noise at source and operation restrictions are two prominent noise abatement approaches, both of which reduce aircraft noise impact by selecting appropriate aircraft types for flights.However, reduction of noise at source requires high cost while operation restrictions would restrict the ability of full operation of the airport.To tackle with the above issue, the paper studies the problem of aircraft type selection for noise reduction, the target of which is to select aircraft type with the lowest noise from a variety of candidate types.To this end, the paper employs weighted equivalent continuous perceived noise level to measure the noise level, and then utilizes Integrated Noise Model (INM) to calculate noise impact area at the interval of noise level.Experimental results on Beijing International Airport noise monitoring dataset show that the proposed algorithm can indeed obtain the aircraft type with minimal aircraft noise impact.

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Available abstract

With the rapid development of civil aviation and raising public awareness of environmental issues, it is extremely crucial to reduce airport noise impact in the vicinity of airports.Reduction of noise at source and operation restrictions are two prominent noise abatement approaches, both of which reduce aircraft noise impact by selecting appropriate aircraft types for flights.However, reduction of noise at source requires high cost while operation restrictions would restrict the ability of full operation of the airport.To tackle with the above issue, the paper studies the problem of aircraft type selection for noise reduction, the target of which is to select aircraft type with the lowest noise from a variety of candidate types.To this end, the paper employs weighted equivalent continuous perceived noise level to measure the noise level, and then utilizes Integrated Noise Model (INM) to calculate noise impact area at the interval of noise level.Experimental results on Beijing International Airport noise monitoring dataset show that the proposed algorithm can indeed obtain the aircraft type with minimal aircraft noise impact.

Key concepts: Computer science, Noise reduction, Reduction (mathematics), Aircraft noise, Noise (video), Acoustics, Aeronautics, Aerospace engineering

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