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https://doi.org/10.3390/engpro...
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Engineering Proceedings
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Local Air Quality and Noise Assessment for Landing and Take-Off Operations in Future Airport Environment

Authors: Zheng Zhang, Danlin; Gómez López, Daniel; López Sánchez, Juan Antonio; Xia, Chen; Wang, Xin; García Fernández, Alba;

Local Air Quality and Noise Assessment for Landing and Take-Off Operations in Future Airport Environment

Abstract

This study examines improvements in local air quality and noise (LAQ&N) of the Landing and Take-Off cycle (LTO cycle) with the introduction of a hybrid electric/sustainable mid-range aircraft. Using Dortmund Airport as a case study, the results highlight significant environmental benefits. Future traffic scenarios estimate potential gains: INDIGO flights improve LAQ by up to 74% and noise impacts by 36%. When replacing 15% of the future traffic demand with INDIGO aircraft, up to a 3% benefit in LAQ&N can be expected. Full traffic replacement scenarios promise substantial environmental advantages, affirming the INDIGO aircrafts’ role in greener aviation.

Keywords

Environmental impact, Future traffic scenarios, future traffic scenarios, Engineering machinery, tools, and implements, hybrid electric/sustainable aircraft, LTO cycles, Airport emissions modelling, airport emissions modeling, TA213-215, Sustainable aircraft, local air quality and noise, environmental impact, Local Air Quality and Noise

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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