Estimating Variation in Community Noise Due to Variation in Aircraft Operations
Regular paper
University of Southampton
Monday 1 june, 2015, 15:20 - 15:40
0.6 Madrid (49)
Abstract:
Notwithstanding considerable effort by many researchers world-wide, the estimation of community
noise due to changes in aircraft fleets and operations remains subject to considerable uncertainty.
This paper describes a new taxonomical architecture for aircraft noise prediction models that can be
adapted to differing levels of input data and required outputs. Sound levels on the ground are
estimated at base level using existing tools (such as INM or ANCON). The aim then is to determine
variations on this base level depending upon differences in known input data whilst by-passing the
full complexity of engineering models for which the necessary inputs can often only be assumed or
are not even available for particular cases. The architecture is well-adapted for estimating
incremental change associated with single input variables, such as approach glide slope angle, or
flight track concentration associated with performance based radio navigation.
The research is being carried out as part of a wider effort to better understand environmental and
economic interdependencies, for which taxonomical models can be highly beneficial. To illustrate the
approach, the model is compared against empirical data collected from trials of steeper approach
glide slope angles.