1. Forecasts of future scenarios for airport noise based on collection and processing of web data.
- Author
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Pretto, Marco, Giannattasio, Pietro, De Gennaro, Michele, Zanon, Alessandro, and Kuehnelt, Helmut
- Subjects
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AIR traffic , *DIGITAL elevation models , *NOISE control , *TRAFFIC estimation , *INTERNET traffic , *INFORMATION storage & retrieval systems - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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