Excessive amounts of noise can cause significant annoyance and disturbance to people's daily lives. This chapter considers the noise in non-aviation sectors, explores noise monitoring and modelling techniques, and explains how noise may impact communities living near to sources of (non-aviation) noise and how noise exposure is communicated to those communities. Noise mitigation and reduction strategies are also assessed to study the possibility to be transferable to the aviation sector.
The key non-aviation sectors affecting local communities are:
● Transport (specifically roads and railways);
● Construction works;
● Industry (specifically wind turbines/farms); and
● Domestic and leisure activities.
Percentage of people highly annoyed within the exposed group across different sectors: aircraft, road, rail, industry and wind turbine noise (source)
The set of non-aviation sectors analysed provides a range of different noise sources and problems which, in some cases, are broadly comparable to the sources and apparent issues in the aviation sector. However, case studies and noise mitigation strategies discussed in this report also indicate that some lessons can be learnt from the non-aviation sectors and some potentially transferable elements to the aviation sector.
All sectors consider monitoring, and most of them model and map before selecting mitigation measures to reduce the noise impact. However, the important lesson aviation needs to learn is that, since the population in urban areas is likely to be exposed to many and diverse noise sources, the perception of noise disturbance can also differ, depending on which other sector sources are present. Hence, a holistic approach to reduce annoyance seems to be the best way forward, especially in urban areas.
There appears to be a broad agreement between the professionals from different sectors that the best option in controlling the noise impact on the local community is a set of combined mitigation measures. However, all agree that a proactive attitude and information on intervention(s) will positively give lasting results.
The lessons learned from the examples presented lead to the following suggested areas: