Aircraft Noise Modeling of Dispersed Flight Tracks and Metrics for Assessing Impacts

Yu, Alison; Hansman, R. John; United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment; Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics

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Aircraft Noise Modeling of Dispersed Flight Tracks and Metrics for Assessing Impacts

2019-05-01
By Yu, Alison ; Hansman, R. John

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English

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Creators:

Yu, Alison ; Hansman, R. John

Yu, Alison ; Hansman, R. John Less -
Corporate Creators:

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics

United States. Federal Aviation Administration. Center of Excellence for Alternative Jet Fuels and Environment ; Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics Less -
Corporate Contributors:

United States. Department of Transportation. Federal Aviation Administration. Office of Environment and Energy
Subject/TRT Terms:

[+]

Aircraft Noise ASCENT Flight Paths Noise Noise Control Performance Based Navigation (PBN) Sound Level Takeoff
Publication/ Report Number:

ICAT-2019-07
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Technical Report
Corporate Publisher:

Massachusetts Institute of Technology
Abstract:

The implementation of Performance Based Navigation (PBN), such as Area Navigation (RNAV) and Required Navigation Performance (RNP), has led to aircraft being able to fly designed flight tracks very precisely. This has led to communities citing the concentration of aircraft along one flight track as a noise issue because of the frequent overflights above specific areas. In order to assess the impact of frequent overflights, metrics for understanding the annoyance mechanism were necessary. The metric Nx, which is a count of the number of overflights above the A-weighted maximum sound level (LA,max) of xdB during the day and (x-10)dB during the night, was investigated. The metric Nx required analysis of the LA,max noise level to count as an overflight, as well as the number of overflights that represented the annoyance threshold. N60 on a peak day with 50 overflights was shown to represent at least 80% of the complaint locations at BOS, MSP, LHR, and one runway at CLT. Alternatively peak day DNL is also shown to be a possible representative noise metric and will also be investigated. A noise metric representative of the impacts of frequent overflights allowed for communication of analysis results for possibilities for dispersed flight tracks. Important ways to communicate analysis results to stakeholders included: overall increase or decrease in population exposure to N60 on a peak day with 50 overflights, the change in the number of N60 overflights for the areas of impact, and presentation of the data that allowed stakeholders to understand the impact within the boundaries of their specific representative area. These tools will allow communities to understand the noise impacts of the procedures considered and will support the stakeholder decision processes.
Content Notes:

This report is open access distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/).
Format:

PDF
Funding:

13-C-AJFE-MIT-008
Collection(s):

Federal Aviation Administration
Main Document Checksum:

[+]

urn:sha256:606fcef42262fd579a853f33ae3f0edd70466630ec9dc03f4aafc8d0a7b0bafd
Download URL:

https://rosap.ntl.bts.gov/view/dot/56961/dot_56961_DS1.pdf
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Aircraft Noise Modeling of Dispersed Flight Tracks and Metrics for Assessing Impacts

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