Analysis of landing noise from Airbus A321neo using long term noise measurements and flight recorder data

Author:

Johansson Anders1,Bolin Karl1

Affiliation:

1. Marcus Wallenberg Laboratory, Department of Engineering Mechanics, Kungliga Tekniska Högskolan , Stockholm 100 44, Sweden

Abstract

This article analyzes aircraft noise measurements from the Airbus A321neo at 7.5 and 5 nautical miles from the runway threshold. Using correlation, analysis of variance, and hierarchical regression analysis, we assessed the influence of flight data recorder variables and meteorological parameters on the measured sound level variations. A combination of aircraft speed and configuration of the high lift devices can predict approximately 60% of the sound level variations. Sound level dependence on speed ranges between 0.5 and 1.5 dB/10 kn for different configurations and landing gear deployment had a +3 dB impact on sound levels. At the same time, weather and wind conditions accounted for a relatively small proportion of the variation. Overall, this study sheds light on the factors contributing to aircraft noise during the final approach and provides insights into potential noise reduction strategies.

Funder

Trafikverket

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Reference30 articles.

1. Electric aviation: A review of concepts and enabling technologies;Transp. Eng.,2022

2. Annoyance due to aircraft noise has increased over the years—Results of the HYENA study;Environ. Int.,2009

3. Continuous descent approach: Design and flight test for Louisville International Airport;J. Aircr.,2004

4. A revised definition for suppressor variables: A guide to their identification and interpretation;Educ. Psychol. Meas.,1974

5. European Environment Agency (2020). “ Environmental noise in Europe, 2020,” https://data.europa.eu/doi/10.2800/686249 (Last viewed September 6, 2022).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3