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Development of a noise metric for assessment of exposure risk to complex noises
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10.1121/1.3159587
/content/asa/journal/jasa/126/2/10.1121/1.3159587
http://aip.metastore.ingenta.com/content/asa/journal/jasa/126/2/10.1121/1.3159587

Figures

Image of FIG. 1.
FIG. 1.

Pressure time history of noise G263 for a 3-s period selected randomly out of 5 min period recorded.

Image of FIG. 2.
FIG. 2.

T-F representation of the pressure time history shown in Fig. 1 obtained by AWT. The height of the surface at a given frequency-time point indicates the SPL of the 1/3 octave frequency component centered at the frequency and at the time instant.

Image of FIG. 3.
FIG. 3.

Time histories of the 1/3 octave SPL components of noise G253. Each time history was obtained by applying the AWT to the noise with the center frequency at the frequency shown in the figure. For example, 0.5 kHz time history shown in the figure approximates the G263 noise that passed through a 1/3 octave filter of 0.5 kHz center frequency.

Image of FIG. 4.
FIG. 4.

Comparison of the median value of the measured PTS of the animals in group G263 and metric values calculated for the noise at six frequency points. Comparisons are shown for , kurtosis, and (top, from left to right), and (K=2), , and (bottom, from left to right). Solid line indicates measured PTS and dashed line indicates metric values.

Image of FIG. 5.
FIG. 5.

Box plots of measured PTS of 18 groups of chinchillas at 0.5, 1, 2, 4, 8, and 16 kHz. Boxes represent inter-quartile ranges, horizontal lines represent the median, whiskers represent the largest and smallest values, and symbols represent outliers defined as the points outside of 1.5 box lengths from the end of the boxes.

Image of FIG. 6.
FIG. 6.

Frequency correlation of noise metrics and measured PTS as functions of frequency. The size of a dot represents the correlation values as the scale shows. For example, the dot corresponding to noise index 5 (G252) and metric index 9 represents the frequency correlation of in animal group G252. The two metrics that showed the highest average of the frequency correlations are metric 1 and metric 9 . x indicates a negative correlation.

Image of FIG. 7.
FIG. 7.

scatter plots showing the overall correlation of : (a) plot of the initial data (108 points:18 groups, 6 frequency points) and (b) plot of the expanded data set (138 points: 23 groups, 6 frequency points).

Tables

Generic image for table
TABLE I.

Description of the noises that were used as the initial set of data for the correlation study in this paper. The data are from the chinchilla noise exposure studies conducted by Hamernik et al. (2003a, 2003b) and Qiu et al. (2006).

Generic image for table
TABLE II.

Noise correlations of 14 metrics calculated by using the initial exposure data set composed of 18 animal groups exposed to 100-dBA noises. Each correlation is the correlation between the values of the given metric calculated for 18 noises and the PTS values of the 18 animal groups at each frequency. Notice that all metrics have very poor noise correlations at 0.5 and 2 kHz.

Generic image for table
TABLE III.

Description of the noises that were used as the additional data for the correlation study in this paper. The data are from a new, unpublished chinchilla noise exposure study conducted by Hamernik and Qiu (2001).

Generic image for table
TABLE IV.

Noise correlations of 14 metrics calculated by using the expanded exposure data. The expanded data were obtained by adding the data from three animal groups exposed to 90-dBA noises and two animal groups exposed to 90-dBA noises. Correlations have become higher in general, especially at 0.5 and 4 kHz.

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/content/asa/journal/jasa/126/2/10.1121/1.3159587
2009-08-01
2014-04-18
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Development of a noise metric for assessment of exposure risk to complex noises
http://aip.metastore.ingenta.com/content/asa/journal/jasa/126/2/10.1121/1.3159587
10.1121/1.3159587
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