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Weather Specific Noise Abatement Procedures: A Case Study of Departure Procedures for Runway 4R at Boston Logan Airport

机译:天气特定的噪声消除程序:以波士顿洛根机场4R跑道的离场程序为例

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Although weather is a significant factor in the noise impact of aircraft operations, noise abatement procedures have traditionally been designed for "an average day." In this paper, we present the details of NOISIM (a model that is used to predict the effects of weather on aircraft noise) and show through a validation study that the model accurately predicts measured noise levels (the model predicted peak noise levels were within 3 dBA in 95% of the cases and sound exposure levels were within 1 dBA in 95% of the cases). We then use the model to determine the effect of weather on aircraft noise impact and illustrate how knowledge of these relationships might enable changes in flight procedures. First, a parametric study is used to illustrate the significant effect that weather has on aircraft performance and noise propagation, and to provide motivation for more explicit consideration of weather in both the design and selection (in daily operation) of noise abatement procedures. Second, a case study of the departure procedure for runway 4R at Logan International Airport in Boston is used to illustrate how the number of people impacted by a sound exposure level greater than 70 dBA can be reduced by almost 56% from approximately 285,000 (for the existing procedure) to approximately 120,000 (for a weather-specific departure procedure).
机译:尽管天气是影响飞机运行的噪音的重要因素,但传统上将噪音消除程序设计为“平均一天”。在本文中,我们介绍了NOISIM(用于预测天气对飞机噪声的影响的模型)的详细信息,并通过验证研究表明该模型可以准确地预测测得的噪声水平(该模型预测的峰值噪声水平在3以内) 95%的情况下为dBA,而95%的情况下的声音暴露水平在1 dBA以内。然后,我们使用该模型确定天气对飞机噪声影响的影响,并说明对这些关系的了解如何使飞行程序发生变化。首先,使用参数研究来说明天气对飞机性能和噪声传播的重大影响,并为减少噪声的程序的设计和选择(在日常操作中)提供动机,以便更明确地考虑天气。其次,以波士顿洛根国际机场4R跑道起飞程序的案例研究为例,说明如何将受声音暴露水平大于70 dBA影响的人数从大约285,000减少近56%(对于现有程序)到大约120,000(针对特定天气的离开程序)。

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