Noise Model Validation using RealWorld Operations Data
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2021-07-01
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Abstract:The mitigation of aviation environmental effects is one of the key enablers to sustainable aviation growth. In order to perform mitigation efforts, however, it is required that the effects themselves be modeled with a high level of accuracy. The Aviation Environmental Design Tool (AEDT) offers the capability to model aircraft performance, fuel burn, emissions, and noise. Efforts are ongoing for improving the fidelity of modeling accuracy of AEDT by improving the assumptions used within AEDT to model various real-world effects. In this paper, the overall sensitivity of noise metric predictions to varying assumptions within AEDT is explored and quantified. This is achieved with the utilization of multiple types of real-world data including detailed flight performance characteristics from airline flight data records, noise monitoring data obtained from stations around one specific airport, and historical weather data. The paper provides a quantification of the overall accuracy of AEDT at its highest level of fidelity and also the sensitivity of noise predictions to various assumptions. The outcomes are expected to provide best practice recommendations and help users prioritize and more accurately quantify community noise exposure using AEDT.
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Content Notes:Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
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