Noise causes annoyance, but its amount cannot be related to noise levels. Decision-makers have a hard time trying to protect people living around airports. Up to this day, the separate daily, evening, and night-time noise levels or their combination (Lden) are calculated in most cases. But unfortunately, these level metrics are typically computed for longer periods only, i.e., a month, the busiest six months, or a year, thus blurring the annoying effect of some worse days or even some hours of the day. Unfortunately, it is, by far, not “human friendly” enough, as it absolutely does not consider the nature of aircraft noise to be a series of individual events in contrast to much more continuous noises. Lden can neither consider critical hours, such as trying to get some rest outside after work, the time when people try to fall asleep, or when they are in a light-sleep phase soon before getting up; nor can it tell too much about sleep disturbance by the noise.
The introduction of new metrics to use as an evaluation tool on the harmful effect of air traffic is not just a difficult scientific task, it is also a hard decision because there does not exist a universal, undisputed metric. Each of the metrics utilised nowadays emphasise one certain effect of noise while suppressing the others. Instead of inventing new formulas of combined metrics, in ANIMA, we try to move the current, mainly level-oriented decision approach into a direction where more factors are considered.
Therefore, a tool has been elaborated, which can compute several metrics, each strongly related to annoyance. A strong emphasis has also been set on the ability of the tool to easily change scenarios, i.e., to analyse various possibilities quickly.
Please note that all examples presented here serve only to demonstrate the tool's capability and potential. Although you’ll see computed metrics around Budapest Airport, the applied schedules are fictional, so it is strongly emphasised that the reader shall not draw any conclusions on the situation around BUD airport.
Map visualisation window showing various metrics for one scenario. One can observe that areas defined by crucial limits of the metrics mark out somewhat different areas.