Aircraft noise

About: Aircraft noise is a research topic. Over the lifetime, 3051 publications have been published within this topic receiving 32039 citations.

Advanced takeoff procedures for high-speed civil transport community noise reduction

Abstract: Advanced takeoff procedures were developed for a Mach 2.62 high-speed civil transport configuration (HSCT) equipped with turbine bypass engines, with the goal of reducing the takeoff noise levels for certification to FAR 36, Stage 3 noise levels. The detailed takeoff and landing module for the Flight Optimizations System (FLOPS) computer program was used to generate takeoff profiles. All takeoff procedures were constrained to meet a FAR takeoff field length of 11,000 feet, as well as the minimum required engine-out climb gradients for each airbome segment. Aircraft noise levels at the FAR 36 certification points were calculated using the Aircraft Noise Prediction Program (ANOPP). The study showed that using advanced takeoff procedures in noise certification could result in a 2.25 dB reduction in the amount of noise suppression required to certify this configuration for Stage 3 noise limits. Advanced procedures also resulted in an 8 percent reduction in the 100 EPNdB noise footprint area compared to basic FAR 36 takeoff procedures. In addition, improvements in the lift-to-drag ratio using high-lift devices were shown to produce 1.81 dB more noise reduction when used in combination with advanced takeoff procedures.

Acoustic prediction methods for the NASA generalized advanced propeller analysis system (GAPAS)

Abstract: Classical methods of propeller performance analysis are coupled with state-of-the-art Aircraft Noise Prediction Program (ANOPP:) techniques to yield a versatile design tool, the NASA Generalized Advanced Propeller Analysis System (GAPAS) for the novel quiet and efficient propellers. ANOPP is a collection of modular specialized programs. GAPAS as a whole addresses blade geometry and aerodynamics, rotor performance and loading, and subsonic propeller noise.

Transportation noise exposure and children's health and cognition

Abstract: This thesis focuses on the effects of transportation noise on children. Children are suspected of being more susceptible to noise exposure. There is a lack of source-specific exposure-response relations describing the association between noise exposure and specific health and cognitive outcomes in children. This is because different, sometimes competing, working mechanisms of how noise affects children are suggested. Furthermore, there are shortcomings in the design and methods of studies investigating the effects of transportation noise on children such as a limited noise exposure range, and the lack of uniformity of the measurement of end points which hamper the possibilities for quantitative meta-analysis and subsequent assessment of the noise impact on children in The Netherlands. To investigate the effects of transportation noise exposure on children's annoyance reactions, perceived health, blood pressure and cognitive functioning, a meta-analysis investigating the relation between noise exposure, blood pressure and/or ischemic heart disease (ICD-9: 410-414) was conducted. Secondly, the data of a cross-sectional field study investigating the effects of aircraft and road traffic noise on cognition, annoyance, behaviour and health in children attending primary schools around three European airports, gathered for the European 5th framework project RANCH, were used. The number of children affected by aircraft noise exposure was estimated using exposure-response relations that were derived in this thesis. The results indicate that transportation noise exposure impairs children's performance mainly on the difficult tasks: noise exposure at school was related to an increase in mistakes on the Switching Attention Test. This was consistent with the results of other recent studies. This was one of the first this studies that systematically measured children's annoyance reactions due to aircraft and road traffic noise in both the home and school setting. The findings were consistent across the samples, and allowed the estimation of source-specific exposure-response relations for children. The relation between noise exposure and blood pressure was not quite consistent: In the Dutch sample blood pressure increased as aircraft noise increased; this was not the case for the British sample. There were differences in the effects of noise on blood pressure between road traffic and aircraft noise. The results of previous studies were inconsistent. As a consequence no exposure-response relation for blood pressure could be derived. No direct association between transportation noise exposure and perceived health in children was found. The findings partly support the idea that noise may act as a physiological stressor. In addition, the effects of noise exposure on children's perceived health and cognitive functioning may be a result of the appraisal of noise as a stressor. Children per se are not more impaired than adults by noise exposure. Exposure-response relations for the association between aircraft noise and annoyance among children were broadly comparable to those among their parents. It was indicatively estimated that 110-720 pupils per school year visiting primary schools around Schiphol airport have a low test result for reading comprehension due to aircraft noise exposure. An estimated 850 pupils per school year are severely annoyed at school due to aircraft noise.

ANOPP2 User's Manual: Version 1.2

Abstract: This manual documents the Aircraft NOise Prediction Program 2 (ANOPP2). ANOPP2 is a toolkit that includes a framework, noise prediction methods, and peripheral software to aid a user in predicting and understanding aircraft noise. This manual includes an explanation of the overall design and structure of ANOPP2, including a brief introduction to aircraft noise prediction and the ANOPP2 background, philosophy, and architecture. The concept of nested acoustic data surfaces and its application to a mixed-fidelity noise prediction are presented. The structure and usage of ANOPP2, which includes the communication between the user, the ANOPP2 framework, and noise prediction methods, are presented for two scenarios: wind-tunnel and flight. These scenarios serve to provide the user with guidance and documentation references for performing a noise prediction using ANOPP2.

Monetary Valuation of Aircraft Noise

Abstract: In densely-populated countries and in particular in large metropolitan areas, the presence of so much human activity causes all sorts of negative externalities, for example traffic noise disturbance. These externalities call for corrective measures by the government. Economists have developed a number of procedures that provide reasonable estimates on the monetary value of some amenities and externalities. In this paper we develop a spatially-explicit hedonic pricing model for house prices in order to quantify the social cost of aircraft noise disturbance in monetary terms. While focusing on aircraft noise around Amsterdam airport in the urban fringe of the Amsterdam region, a key point in our analysis is that we account for background noise. We do this by taking multiple sources of traffic noise (i.e. road, railway and aircraft noise) into account simultaneously and by setting threshold values for all three sources of noise above which sound is generally experienced as nuisance. Based on our regression results we conclude that a higher noise level means ceteris paribus a lower house price. Air traffic has the largest price impact, followed by railway traffic and road traffic. These model outcomes can subsequently be used to estimate the marginal and total benefits of aircraft noise reduction in the studied area around Amsterdam airport. We find a marginal benefit of 1 dB noise reduction of 1,459 Euro per house, leading to a total benefit of 1 dB noise reduction of 574 million Euros.