A Comparison of Measured and Modelled Aircraft Noise Levels for RTHA

Conference Paper (2024)
Author(s)

A.S. Jayanthi (TU Delft - Aircraft Noise and Climate Effects)

R.C. Van der Grift (TU Delft - Aircraft Noise and Climate Effects)

Irene C. Dedoussi (TU Delft - Aircraft Noise and Climate Effects)

Mirjam Snellen (TU Delft - Control & Operations)

Research Group
Aircraft Noise and Climate Effects
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Publication Year
2024
Language
English
Research Group
Aircraft Noise and Climate Effects
ISBN (electronic)
978-90-90-39058-1
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Abstract

To reduce the growing distrust in aircraft noise models felt by communities around the airport, it is imperative to ensure accurate modelling methodologies validated by appropriately measured noise metrics. This is especially crucial in regions farther from the airport where Lden = 45 - 55 dBA because the amount of affected residents in these areas is large. Currently, there is a lack of measured noise levels at such distances and uncertainty about the assumed procedures, such as the aircraft thrust settings. Regarding the latter, before comparing the model and measured noise levels, it’s thus crucial to first create a robust workflow for obtaining accurate input data for the noise predictions. In this contribution, as a first step, audio files from the noise monitoring stations around Rotterdam The Hague airport (RTHA), combined with dedicated array and single microphone measurements, are considered for extracting fan rotational speed, N1. The 64-microphone array and the single microphone system were co-located with one of the monitoring stations at a distance of 1.14 km away from the RTHA runway. The engine settings are retrieved from the intensity-averaged spectrograms obtained from the microphone array. Using the derived thrust settings, the noise levels measured by the monitoring stations are compared with the single-event noise level prediction made by the European Noise model, Doc.29. The aircraft position, i.e., input for the model, is obtained from ADS-B data, which contains the position vector and velocity of the aircraft at 1-second intervals. In the framework of this study, noise predictions for both arrival and take-off procedures for three aircraft types are presented. Finally, this case study aims to investigate the applicability of the data from monitoring stations for the aim of model-data predictions at the mentioned regions.

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