Forecasts of future scenarios for airport noise based on collection and processing of web data

Marco Pretto1, Pietro Giannattasio1, Michele De Gennaro2, Alessandro Zanon2, Helmut Kuehnelt2
1Dipartimento Politecnico di Ingegneria e Architettura, University of Udine, Via delle Scienze 206, 33100, Udine, Italy
2AIT Austrian Instutute of Technology GmbH, Center for Low-Emission Transport, Giefinggasse 2, 1210, Vienna, Austria

Tóm tắt

Abstract Purpose This paper presents an analysis of short-term (2025) scenarios for noise emission from civil air traffic in airport areas. Methods Flight movements and noise levels at a given airport are predicted using a web-data-informed methodology based on the ECAC Doc.29 model. This methodology, developed by the authors in a previous work, relies on the collection and processing of air traffic web data to reconstruct flight events to be fed into the ECAC model. Three new elements have been included: i) topographic information from digital elevation models, ii) a fleet substitution algorithm to estimate the impact of newer aircraft, and iii) a generator of flight events to simulate the expected traffic increase. Results The effects of these elements are observed in 2025 scenarios for the airports of London Heathrow, Frankfurt and Vienna-Schwechat. The results quantify the noise reduction from new aircraft and its increment due to the air traffic growth forecast by EUROCONTROL.

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