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Forecasts of future scenarios for airport noise based on collection and processing of web data
European Transport Research Review ( IF 4.3 ) Pub Date : 2020-01-14 , DOI: 10.1186/s12544-019-0389-x
Marco Pretto , Pietro Giannattasio , Michele De Gennaro , Alessandro Zanon , Helmut Kuehnelt

This paper presents an analysis of short-term (2025) scenarios for noise emission from civil air traffic in airport areas. 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. 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.

中文翻译:

根据网络数据的收集和处理,对机场噪声的未来情景进行预测

本文介绍了机场区域民航交通噪声的短期(2025年)情景分析。使用基于ECAC Doc.29模型的网络数据通知方法,可以预测给定机场的飞行运动和噪声水平。作者在先前的工作中开发的这种方法依赖于空中交通网络数据的收集和处理,以重构将被输入到ECAC模型中的飞行事件。其中包括三个新元素:i)来自数字高程模型的地形信息,ii)机队替代算法以估算新型飞机的影响,iii)飞行事件生成器以模拟预期的流量增长。在伦敦希思罗机场,法兰克福机场和维也纳舒维查特机场的2025年情景中,可以观察到这些因素的影响。
更新日期:2020-01-14
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