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Sampling approaches to predict urban street noise levels using fixed and temporary microphones

Arnaud Can UGent, Timothy Van Renterghem UGent, Michaël Rademaker UGent, Samuel Dauwe UGent, Pieter Thomas UGent, Bernard De Baets UGent and Dick Botteldooren UGent (2011) JOURNAL OF ENVIRONMENTAL MONITORING. 13(10). p.2710-2719
abstract
Requirements for static (prediction of L(den) and diurnal averaged noise pattern) and dynamic (prediction of 15 min and 60 min evolution of L(Aeq) and statistical levels L(A90), L(A50) and L(A10)) noise level monitoring are investigated in this paper. Noise levels are measured for 72 consecutive days at 5 neighboring streets in an inner-city noise measurement network in Gent, Flanders, Belgium. We present a method to make predictions based on a fixed monitoring station, combined with short-term sampling at temporary stations. It is shown that relying on a fixed station improves the estimation of L(den) at other locations, and allows for the reduction of the number of samples needed and their duration; L(den) is estimated with an error that does not exceed 1.5 dB(A) to 3.4 dB(A) according to the location, for 90% of the 3 x 15 min samples. Also the diurnal averaged noise pattern can be estimated with a good accuracy in this way. It was shown that there is an optimal location for the fixed station which can be found by short-term measurements only. Short-term level predictions were shown to be more difficult; 7 day samples were needed to build models able to estimate the evolution of L(Aeq, 60min) with a RMSE ranging between 1.4 dB(A) and 3.7 dB(A). These higher values can be explained by the very pronounced short-term variations appearing in typical streets, which are not correlated between locations. On the other hand, moderately accurate predictions can be achieved, even based on short-term sampling (a 3 x 15 minute sampling duration seems to be sufficient for many of the accuracy goals set related to static and dynamic monitoring). Finally, the method proposed also allows for the prediction of the evolution of statistical indicators.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
EXPOSURE, SOUND, DYNAMICS, SOUNDSCAPES, ROAD TRAFFIC NOISE, IBCN, ANNOYANCE
journal title
JOURNAL OF ENVIRONMENTAL MONITORING
J. Environ. Monit.
volume
13
issue
10
pages
2710 - 2719
Web of Science type
Article
Web of Science id
000295579000005
JCR category
ENVIRONMENTAL SCIENCES
JCR impact factor
1.991 (2011)
JCR rank
79/203 (2011)
JCR quartile
2 (2011)
ISSN
1464-0325
DOI
10.1039/c1em10292c
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2043487
handle
http://hdl.handle.net/1854/LU-2043487
date created
2012-02-24 10:08:25
date last changed
2015-06-17 09:58:05
@article{2043487,
  abstract     = {Requirements for static (prediction of L(den) and diurnal averaged noise pattern) and dynamic (prediction of 15 min and 60 min evolution of L(Aeq) and statistical levels L(A90), L(A50) and L(A10)) noise level monitoring are investigated in this paper. Noise levels are measured for 72 consecutive days at 5 neighboring streets in an inner-city noise measurement network in Gent, Flanders, Belgium. We present a method to make predictions based on a fixed monitoring station, combined with short-term sampling at temporary stations. It is shown that relying on a fixed station improves the estimation of L(den) at other locations, and allows for the reduction of the number of samples needed and their duration; L(den) is estimated with an error that does not exceed 1.5 dB(A) to 3.4 dB(A) according to the location, for 90\% of the 3 x 15 min samples. Also the diurnal averaged noise pattern can be estimated with a good accuracy in this way. It was shown that there is an optimal location for the fixed station which can be found by short-term measurements only. Short-term level predictions were shown to be more difficult; 7 day samples were needed to build models able to estimate the evolution of L(Aeq, 60min) with a RMSE ranging between 1.4 dB(A) and 3.7 dB(A). These higher values can be explained by the very pronounced short-term variations appearing in typical streets, which are not correlated between locations. On the other hand, moderately accurate predictions can be achieved, even based on short-term sampling (a 3 x 15 minute sampling duration seems to be sufficient for many of the accuracy goals set related to static and dynamic monitoring). Finally, the method proposed also allows for the prediction of the evolution of statistical indicators.},
  author       = {Can, Arnaud and Van Renterghem, Timothy and Rademaker, Micha{\"e}l and Dauwe, Samuel and Thomas, Pieter and De Baets, Bernard and Botteldooren, Dick},
  issn         = {1464-0325},
  journal      = {JOURNAL OF ENVIRONMENTAL MONITORING},
  keyword      = {EXPOSURE,SOUND,DYNAMICS,SOUNDSCAPES,ROAD TRAFFIC NOISE,IBCN,ANNOYANCE},
  language     = {eng},
  number       = {10},
  pages        = {2710--2719},
  title        = {Sampling approaches to predict urban street noise levels using fixed and temporary microphones},
  url          = {http://dx.doi.org/10.1039/c1em10292c},
  volume       = {13},
  year         = {2011},
}

Chicago
Can, Arnaud, Timothy Van Renterghem, Michaël Rademaker, Samuel Dauwe, Pieter Thomas, Bernard De Baets, and Dick Botteldooren. 2011. “Sampling Approaches to Predict Urban Street Noise Levels Using Fixed and Temporary Microphones.” Journal of Environmental Monitoring 13 (10): 2710–2719.
APA
Can, Arnaud, Van Renterghem, T., Rademaker, M., Dauwe, S., Thomas, P., De Baets, B., & Botteldooren, D. (2011). Sampling approaches to predict urban street noise levels using fixed and temporary microphones. JOURNAL OF ENVIRONMENTAL MONITORING, 13(10), 2710–2719.
Vancouver
1.
Can A, Van Renterghem T, Rademaker M, Dauwe S, Thomas P, De Baets B, et al. Sampling approaches to predict urban street noise levels using fixed and temporary microphones. JOURNAL OF ENVIRONMENTAL MONITORING. 2011;13(10):2710–9.
MLA
Can, Arnaud, Timothy Van Renterghem, Michaël Rademaker, et al. “Sampling Approaches to Predict Urban Street Noise Levels Using Fixed and Temporary Microphones.” JOURNAL OF ENVIRONMENTAL MONITORING 13.10 (2011): 2710–2719. Print.