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One's Personal Noise Footprint: what's your share In environmental noise production?

机译:一个人的个人噪声足迹:您在环境噪声生产中的份额是多少?

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Environmental noise is generally considered a problem that should be tackled at governmental level. This is justified as long as citizens cannot really influence the amount of noise that is produced in their neighborhood. The consequence, however, is that people are not aware of their share in environmental noise, or worse, they are not interested at all in environmental noise and its (hidden) effects on health. Changing this attitude may be required for a sustainable quieter environment. In many cases individuals can choose between different means of transportation. Citizens are willing to take environmental aspects like CO_2 emission and energy wastage into consideration, but up to now cannot decide on the noise impact. Will I take the bus or drive by car? Will I take the high speed train or an airplane? What is my share in noise impact, as a passenger, in these cases? To what extend do I have a share in industrial noise as well, being consumer and labourer? In this article a method is given to calculate one's personal contribution in environmental noise. In order to visualise this contribution, we are borrowing the concept 'noise footprint' which is used in aircraft noise control and reform this into a 'personal noise footpring (PNF)'. The PNF has no directional information. It represents the area which is exposed to noise and it indicates which activity of individuals is dominant. Besides visualisation advantages, the noise footprint features simple maths instead of logarithms. Strenght and weaknesses of concept are discussed in this article.
机译:通常认为环境噪声是一个应在政府层面解决的问题。只要公民不能真正影响附近社区产生的噪音,这就是合理的。但是,结果是人们没有意识到自己在环境噪声中所占的份额,或者更糟的是,他们对环境噪声及其对健康的(隐性)影响完全不感兴趣。为了保持可持续的安静环境,可能需要改变这种态度。在许多情况下,个人可以在不同的运输方式之间进行选择。公民愿意考虑诸如CO_2排放和能源浪费等环境方面的问题,但是到目前为止,还不能决定噪声的影响。我会乘公共汽车还是开车?我会乘坐高速火车还是飞机?在这些情况下,作为一名乘客,我在噪音影响方面应占的份额是多少?作为消费者和劳动者,我还能在多大程度上分享工业噪音?在本文中,给出了一种计算个人对环境噪声的贡献的方法。为了形象化这一贡献,我们借用了在飞机噪声控制中使用的“噪声足迹”概念,并将其改造为“个人噪声足迹(PNF)”。 PNF没有方向信息。它表示暴露于噪音的区域,并表示个人的哪些活动占主导地位。除可视化优势外,噪声足迹还具有简单的数学功能,而不是对数功能。本文讨论了概念的优点和缺点。

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