Quantifying uncertainties in predicting aircraft noise in real-world situations

Abstract

A relatively new project in the ASCENT Center of Excellence at Penn State and Purdue is focused on validating aircraft noise models and quantifying uncertainties of both model prediction and measurement. Multiple data sets are being identified for the validation efforts, and these will be described. This presentation will particularly focus on the BANOERAC and Vancouver Airport Authority data sets. Meteorological influences are very important in assessing the uncertainties on received sound levels from aircraft, so having weather data in conjunction with sound level measurements is essential. An ultimate outcome of the project will be a better understanding of the needs for acoustic and meteorological data to validate modern aircraft noise propagation tools such as the FAA's Aviation Environmental Design Tool (AEDT) and the parabolic equation (PE) algorithm. [Work supported by the FAA. The opinions, findings, conclusions, and recommendations expressed in this material are those of the authors and do not n...