Preliminary AEDT Noise Model Validation using Real-World Data
Amber Willitt, Mayank V. Bendarkar, Jirat Bhanpato, Michelle R. Kirby, Sabastian Abelezele, Dimitri N. Mavris · 2024
A focus on sustainability in aviation is required to mitigate the environmental impact of its growth. Modeling the environmental effects helps the aerospace community obtain quantitative data linked to aircraft emissions and noise. The Aviation Environmental Design Tool (AEDT) offers the capability to model aviation operations using data sources of differing fidelity and is used worldwide for quantifying emissions and noise impacts of such operations. As a result, validating the accuracy of AEDT is of vital importance for continuous sustainability efforts. This paper presents preliminary results of AEDT noise model validation at the San Francisco International Airport (SFO). The overall sensitivity of noise predictions to varying assumptions within AEDT is explored and quantified using a set of real-world flights modeled within it. This is achieved by utilizing routine Flight Operations Quality Assurance (FOQA) data records from airline operations, noise monitoring data from various stations around the SFO airport, and various weather data sources. The outcomes of this validation study are expected to benefit the developers of AEDT to produce a more accurate noise model.