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D. Belcher, M. Christner, and E. Shabalina, "Noise Prediction Software for Open-Air Events Part 2: Experiences and Validation," Paper 9791, (2017 May.). doi: D. Belcher, M. Christner, and E. Shabalina, "Noise Prediction Software for Open-Air Events Part 2: Experiences and Validation," Paper 9791, (2017 May.). doi:
Abstract: The prediction and minimization of noise in the neighborhood during the planning phase of open-air events is becoming more important. The common available software for calculating environmental noise did not consider complex summation of sound because typical noise sources in traffic or industry are not coherent. State of the art sound systems with arrays of loudspeakers and subwoofers effectively use coherence in order to achieve their high directivity. The propagation models were not only extended for complex summation, but also for import of complex data from a system design tool (see Part 1 for details). This paper presents experiences with the simulation software NoizCalc in the field since its launch, its validation by means of a comparison with accompanying measurements and a derivation of uncertainty, in order to set the informative value of a prediction into context.

@article{belcher2017noise,
author={belcher, daniel and christner, matthias and shabalina, elena},
journal={journal of the audio engineering society},
title={noise prediction software for open-air events part 2: experiences and validation},
year={2017},
volume={},
number={},
pages={},
doi={},
month={may},} @article{belcher2017noise,
author={belcher, daniel and christner, matthias and shabalina, elena},
journal={journal of the audio engineering society},
title={noise prediction software for open-air events part 2: experiences and validation},
year={2017},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={the prediction and minimization of noise in the neighborhood during the planning phase of open-air events is becoming more important. the common available software for calculating environmental noise did not consider complex summation of sound because typical noise sources in traffic or industry are not coherent. state of the art sound systems with arrays of loudspeakers and subwoofers effectively use coherence in order to achieve their high directivity. the propagation models were not only extended for complex summation, but also for import of complex data from a system design tool (see part 1 for details). this paper presents experiences with the simulation software noizcalc in the field since its launch, its validation by means of a comparison with accompanying measurements and a derivation of uncertainty, in order to set the informative value of a prediction into context.},}

TY - paper
TI - Noise Prediction Software for Open-Air Events Part 2: Experiences and Validation
SP - EP -
AU - Belcher, Daniel
AU - Christner, Matthias
AU - Shabalina, Elena
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2017 TY - paper
TI - Noise Prediction Software for Open-Air Events Part 2: Experiences and Validation
SP - EP -
AU - Belcher, Daniel
AU - Christner, Matthias
AU - Shabalina, Elena
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2017
AB - The prediction and minimization of noise in the neighborhood during the planning phase of open-air events is becoming more important. The common available software for calculating environmental noise did not consider complex summation of sound because typical noise sources in traffic or industry are not coherent. State of the art sound systems with arrays of loudspeakers and subwoofers effectively use coherence in order to achieve their high directivity. The propagation models were not only extended for complex summation, but also for import of complex data from a system design tool (see Part 1 for details). This paper presents experiences with the simulation software NoizCalc in the field since its launch, its validation by means of a comparison with accompanying measurements and a derivation of uncertainty, in order to set the informative value of a prediction into context.