18 May Why ambient noise should be considered when assessing noise impact
Currently there’s an on-going debate about the expansion of airport capacity of London, and whether Gatwick or Heathrow should be expanded with an additional runway. Both options are controversial, as many people are likely to be affected by an increase of noise, traffic and pollution.
It can be difficult to compare the level of noise annoyance of two different airports. The number of people annoyed by noise depends on a number of factors, one of which is the local factor ambient noise. The noise policies of major airports mainly focus on reducing the level of noise exposure and the number of people who are exposed. Ambient noise is not always taken into account. As a result, the predicted level of noise annoyance might not always reflect actual perceived annoyance.
If noise annoyance between different airports is compared, ambient noise should be considered
Ambient noise influences the perception of noise
Airports impact their surroundings in social, economic and environmental areas. The environmental impact of aircraft noise is acknowledged to be the most significant local impact. The perception of noise is not only affected by noise, but also by non-acoustic characteristics. Noise consist of factors related to acoustic (level, frequency, duration etc.) and non-acoustic characteristics (sensitivity, fear, personal benefits, expectations etc.). While sound is a value that can be measured, noise annoyance is highly subjective.
The level of ambient noise influences the perception of noise exposure by aircraft. Ambient noise can vary during the day and is strongly dependent on local factors; a difference of 20 dB between a rural area and a nearby city is no exception. The percentage of residents annoyed by aircraft might be higher in areas with low ambient noise than in high ambient noise areas.
What can the human ear detect?
The human ear is not very well equipped to distinguish between sounds coming from two sources. When you hear two sounds that are almost as loud as each other, the combined sound will hardly be louder than the loudest of the two. When the difference in loudness between two sounds is large, a person will experience this by only hearing the loudest sound.
In relation to aircraft noise everybody has probably experienced this first hand. In a city close to an airport you hardly ever hear the noise of aircraft during the day. While during the quiet times of the night you can hear every aircraft passing over. The same applies to police sirens and trains passing by, likewise: it’s not that there are more of these sounds during the night, you just don’t hear them during the day. The ambient noise of the city prevents you to distinguish these sounds unless they are really close and therefore a lot louder than the city noises.
Aircraft noise modelling and ambient noise
So when ambient noise plays such an important role in the perception of sound made by aircraft, why is it not taken into account during noise pollution discussions? The noise policies adopted by national governments in relation to major airports mainly focus on reducing the level of noise exposure and the number of people who are exposed. To measure the impact, the dose-response metric is widely recognized and used. This metric expresses the percentage of annoyed people (the response) at a given level of noise exposure (the dose).
this metric does not include factors of local noise, it is an average of potentially annoyed residents, and assumes aircraft noise is experienced everywhere equally, regardless ambient noise. As a result, the metric might not always correctly reflect the actual number of annoyed people.
The uncertainty in the dose-response relationship can be relatively high for low noise levels and low for high noise levels. This is likely to be caused by these local differences in areas further away from the airport. It can be misleading to compare noise annoyance between different airports, when these local differences are not taken into account. Hence, it can be considered to include local difference between ambient noise levels when calculating the perceived noise annoyance. This requires a local dose-response relation for each airport where annoyance is modelled.
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