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Environmental Noise Assessment of Holding Approach Procedures Using a Multi-Level Simulation Framework

ORCID
0000-0002-9484-8955
Affiliation/Institute
Institut für Akustik
Felix Greco, Gil;
GND
1153573849
ORCID
0000-0002-1779-2345
Affiliation/Institute
Institut für Flugführung
Yildiz, Bekir;
ORCID
0000-0002-1279-1933
Affiliation/Institute
Institut für Flugantriebe und Strömungsmaschinen
Göing, Jan;
ORCID
0000-0002-6656-4576
Affiliation/Institute
Institut für Akustik
Ring, Tobias P.;
GND
143225898
ORCID
0000-0003-2131-5469
Affiliation/Institute
Institut für Flugführung
Feuerle, Thomas;
ORCID
0000-0002-8807-6856
Affiliation/Institute
Institut für Flugführung
Hecker, Peter;
GND
142848255
ORCID
0000-0002-5814-044X
Affiliation/Institute
Institut für Akustik
Langer, Sabine C.

Computational models of sufficient quality are indispensable to quantitatively assess aircraft noise reduction measures. Within this study, a multi-level simulation framework is established in order to predict the environmental noise of holding approach procedures by coupling simulation models from three different domains: flight performance calculation employing the base of aircraft data (BADA), jet engine performance using the software Gasturb and aircraft noise simulations based on the software sonAIR. Two different concepts of holding approach procedures are investigated, namely, the vertical holding stack and the linear hold point merge. The study is conducted considering generic air traffic scenarios at a single-runway airport. Thereby, the investigated air traffic is based on a statistical analysis of traffic data at existing airports and thus assumed to be representative. As the aircraft’s noise emission depends on both the aircraft and the engine performance, reliable results can be expected only if all individual challenges and interdependencies are accounted for simultaneously. Addressing this challenge is the main contribution of the presented work. The presented results show the plausibility of the proposed multi-level simulation framework, thus supporting its use to investigate the environmental noise impact of air traffic scenarios.

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