Environmental Impact of the Deregulation of Air-Transport: Evaluation of the Noise Level Around Secondary Airports

A. Benedetto
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Abstract

In the last decade, Low Cost Carriers (LCCs) have increased greatly, both in terms of number of flights and the number of passengers. This growth has occurred mainly in secondary airports, where air-transport was previously gener- ally private and/or military. The large increase in LCCs coupled with the consolidated urbanization around the secondary airports has caused a substantial problem with environmental noise pollution. Currently, noise levels can be predicted us- ing advanced numerical models that require many inputs to give reliable results, substantial computational resources, and high level know-how. For local communities and institutions, the implementation of such prediction models is often not possible, and, at the same time, air-transport companies are not always required by law to predict noise impact induced by changing flight operations. Here, an effective low cost model for predicting noise levels around airports is presented. It is an advanced segmentation model that is easily implemented. The model has been calibrated using a case study referring to field noise measurements and predictions using consolidated models, such as INM (Integrated Noise Model, USA) and TNIP (Transparent Noise In- formation Package, Australia). The results demonstrate good reliability, both in single event simulations and noise contour predictions. Finally, the model has been applied to the planning of the third airport in Rome.
放宽航空运输管制对环境的影响:二级机场周围噪音水平的评估
在过去的十年中,低成本航空公司(lcc)在航班数量和乘客数量方面都有了很大的增长。这种增长主要发生在二级机场,那里的航空运输以前一般是私人和/或军用的。低成本航空公司的大量增加,加上二级机场周围的一体化城市化,造成了严重的环境噪声污染问题。目前,噪声水平可以通过先进的数值模型来预测,但这需要大量的输入才能给出可靠的结果、大量的计算资源和高水平的专业知识。对于当地社区和机构来说,实施这种预测模型往往是不可能的,同时,法律并不总是要求航空运输公司预测改变飞行操作所引起的噪音影响。本文提出了一种预测机场周围噪声水平的低成本模型。这是一种易于实现的高级分割模型。该模型已通过参考现场噪声测量和使用综合模型(如INM(综合噪声模型,美国)和TNIP(透明噪声信息包,澳大利亚)进行预测的案例研究进行了校准。结果表明,在单事件模拟和噪声轮廓预测中都具有良好的可靠性。最后,将该模型应用于罗马第三机场的规划中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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