A Critical Review of Global Aircraft Noise Metrics and their Applications
Keywords:
heliport, noise metrics, aircraft noise, equivalent continuous sound level
Abstract
Aircraft noise metrics are used to assess airport and heliport noise impacts on host communities. Airports and heliports host communities need to be carried along to contribute to deliberations, understand proposals, and have their views heard on aircraft noise reduction strategies. People can feel disillusioned by noise metrics that are too complex and do not express what residents experience. Selecting the best noise metric is essential if all aviation stakeholders are to engage meaningfully on modalities for aircraft noise reduction. A single global noise metric that would capture all the factors influencing people's perception of aircraft noise and produce a definitive measure of annoyance is highly desirable, but such does not exist. Some of these noise metrics are simple but do not include subjective factors in their analysis; others that capture both the objective and subjective aspects of aircraft noise effects are complex and difficult to interpret. In selecting a noise metric to use for the measurement of aircraft noise, it is necessary to strike a balance between precision and simplicity. This paper examines the various noise metrics currently used to assess aircraft noise exposure globally and makes a case for equivalent continuous sound level(L eq ) as the best based on the fact that it is easy to understand and communities can easily relate it to their experiences.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
References
Airbus (2003) Getting to grips with aircraft noise, flight operations support & line assistance.
C Asensio, I Pavón, G De Arcas (2020) Changes in noise levels in the city of Madrid during COVID-19 lockdown in 2020. 148(3), 1748-1755.
Ashrae (1996) 96/00806 1995, ASHRAE Handbook, HVAC applications, Si edition. 37(1), 49.
Leo Beranek, Warren Blazier, J Figwer (1971) Preferred Noise Criterion (PNC) Curves and Their Application to Rooms. 50(5A), 1223-1228.
Y Cho, J Kim, T Kim, J Hong, S Lee (2014) Comparative study on civil aircraft noise metrics as annoyance estimators for interoperability between other aircraft noise metrics. 28(10), 3997-4003.
F Cotana, A Nicolini (2003) Noise Mapping: The Evolution of Italian and European Legislation. 19-21.
John Eargle (1994) NC and PNC Noise Criteria Curves. 16-17.
S Fidell (2002) AUDIBILITY-RELATED MEANS FOR ASSESSING COMMUNITY RESPONSE TO NOISE FROM OUTDOOR EVENTS.
A Fiebig, K Genuit (2010) DEVELOPMENT OF A SYNTHESIS TOOL FOR SOUNDSCAPE DESIGN.
N French, J Steinberg (1947) Factors Governing the Intelligibility of Speech Sounds. 19(1), 90-119.
T Heleno, J Slama (2013) Fuzzy Modeling of Annoyance Caused by Aircraft Noise Using Laeqd and Laeqn Metrics. 5(1), 103-110.
T Heleno, J Slama, F Bentes (2014) Analysis of airport noise through LAeq noise metrics. 37, 5-9.
P Hooper, J Maughan, I Flindell, K Hume (2009) Indices to enhance understanding & management of community responses to aircraft noise exposure.
J Page, C Hobbs, B May, E Boeker, H Brouwer, C Morrow (2015) Guidance for helicopter community noise prediction In. 02.
J Peirce, Ruth Weiner, P Vesilind (1998) Noise Pollution and Control. 327-349.
K Plotkin, B Sharp, T Connor, R Bassarab, J Rachami, I Flindell, D Schreckenberg (2011) Updating and supplementing the day-night average sound level (DNL).
Téo Revoredo, Jules Slama (2008) Noise metrics comparison and its use on urban zoning in airport surveys: A Brazilian case study. 14(6), 304-307.
Rob Light (2020) Ground-Plane Microphone Configuration for Propeller-Driven Light-Aircraft Noise Measurement.
D Robinson, R Dadson (1956) A re-determination of the equal-loudness relations for pure tones. 7(5), 166-181.
T Schultz (1982) Community noise rating.
S Si (2005) Quantities and Procedures for Description and Measurement for Environmental Sound-Part 4: Noise Assessment and Prediction of Long-term Community Response.
A Sincero, G Sincero (1996) Environmental Engineering: A design approach.
D Southgate, R Aked, N Fisher, G Rhynehart (2000) Expanding ways to describe and assess aircraft noise-discussion paper.
J Spilski, K Bergström, U Möhler, T Lachmann, M Klatte (2019) Do we need different aircraft noise metrics to predict annoyance for different groups of people.
Mariani Taufner, Ana Gama, Jules Slama, Julio Torres (2020) Noise metrics analysis in schools near airports: A Brazilian case study. 7(1), 21-34.
Torija Martinez, A Self, R, I (2016) Evolution of noise metrics in future aviation scenarios in the UK.
Ana Vieira, Umair Mehmood, Roberto Merino-Martinez, Mirjam Snellen, Dick G. Simons (2019) Variability of Sound Quality Metrics for Different Aircraft Types During Landing and Take-Off.
Y Wang, F Xia, T (2012) Analysis and Comparison Research of Airport Noise Metrics. 594, 2808-2814.
Who (2018) Environmental noise guidelines for the European region.
Wyle (2008) Noise Basics and the Effect of Aviation Noise on the Environment.
J You, J Jeon (2008) Just noticeable differences in sound quality metrics for refrigerator noise. 56(6), 414-424.
Published
2020-12-14
Issue
Section
License
Copyright (c) 2020 Authors and Global Journals Private Limited

This work is licensed under a Creative Commons Attribution 4.0 International License.