Reduction of uncertainties for a model based measurement system for impulsive sound events
van der Eerden, F.J.M.
van den Berg, F.H.A.
The use of combining sound measurements and sound propagation modelling is increasing. In this paper the acoustic situation on and around a shooting range is considered. A monitoring system that automatically detects and localizes impulsive sound events is presented. The locations of these events are obtained by combining detections from multiple measurement units. With the sound propagation model the source levels at the range as well as the sound immission levels at residential areas can be determined. When applying these model results it is important to know the impact of missing or limited knowledge of environmental input data, such as meteorological and ground input data, on the accuracy of the sound propagation predictions. The main sources of environmental uncertainty are presented and their impact is quantified. This is done via a sensitivity analysis using a Green’s function parabolic equation method. By quantifying the uncertainty, insight and support is provided for the use of a model based measurement system. Also, the sensitivity analysis helps to further improve the model based measurement system, e.g. by selecting improvements that can reduce the uncertainty such as using additional meteorological data or additional sensors. © INTER-NOISE 2018 - 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering. All rights reserved.
Acoustic variables control
To reference this document use:
Acoustic wave propagation
Input output programs
Parabolic equation method
Institute of Noise Control Engineering
INTER-NOISE 2018 - 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018, 26 August 2018 through 29 August 2018