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Massachusetts Institute of Technology

A Data-Driven Approach to Departure and Arrival Noise Abatement Flight Procedure Development

Abstract

dc:description.abstract

An aircraft noise modeling framework is presented and used to perform a data-driven exploration of factors correlating with measured aircraft community noise and a model-based validation of the variables found to have the greatest noise impact. Aggregate departure and arrival noise and flight procedures were examined so that factors correlating with measured noise could be isolated. Operational flights at Seattle-Tacoma International Airport were examined using a framework that includes ADS-B data, a force balance kinematics model to estimate aircraft performance, and noise monitor recordings. Variation in measured noise within the network was examined as a function of observed data, including aircraft type, aircraft trajectory, airline, wind, temperature, and relative humidity; and inferred variables, including aircraft configuration, weight, and thrust. Airline-specific departure procedures were shown to impact noise measurements. Departure procedures with higher thrust and higher initial climb gradients were observed to have lower measured noise. Arrival procedures that delayed their deceleration were observed to have lower measured noise in some cases. Ambient environmental conditions, including wind, temperature, and relative humidity, were found to impact noise variation. A model-based evaluation of the factors correlating with aircraft noise followed the data-driven exploration. The delayed deceleration approach, a procedure in which aircraft maintain higher speeds, remain cleanly configured, and fly with lower thrust levels for a longer period of time, was identified as having noise reduction potential beyond 8 nm from the airport. Noise from operational Boeing 737, Airbus A320, and Embraer E190 flights at Boston Logan and Seattle Tacoma airports was modeled using the NASA Airplane Noise Prediction Program and was compared with ground noise monitor measurements. When corrected for atmospheric conditions, modeled noise results were consistent with noise monitor readings under reasonable flap deployment assumptions during various early, intermediate, and delayed deceleration approach procedures. Measured noise results indicated that compared to aircraft that decelerated early, aircraft performing delayed deceleration approaches reduced noise by an average of 3-6 dB across different aircraft types.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Mahseredjian, Ara
Advisors dc:contributor.advisor
  • Hansman, R. John
  • Huynh, Jacqueline L.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright MIT

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/145055
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/145055

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Mahseredjian, Ara. A Data-Driven Approach to Departure and Arrival Noise Abatement Flight Procedure Development. Massachusetts Institute of Technology, 2022. https://hdl.handle.net/1721.1/145055