A SUMMARY OF UNDERWATER ACOUSTIC DATA. PART V. BACKGROUND NOISE

1954 ◽  
Author(s):  
R. J. URICK ◽  
A. W. PRYCE
Keyword(s):  
Background Noise ◽  
Underwater Acoustic ◽  
Acoustic Data

Underwater Acoustic Data Communications for Autonomous Platform Command, Control and Communications

2001 ◽  
Author(s):  
Michael Shinego ◽  
Geoff Edelson ◽  
Francine Menas ◽  
Michael Richman ◽  
Robert Nation
Keyword(s):  
Data Communications ◽  
Underwater Acoustic ◽  
Acoustic Data

Analysis and interpretation of underwater acoustic data originated from the vicinity of the last known location of the Argentinian submarine ARA San Juan

2018 ◽  
Vol 144 (3) ◽  
pp. 1808-1808
Author(s):  
Peter L. Nielsen ◽  
Mario Zampolli ◽  
Ronan Le Bras ◽  
Pierrick Mialle ◽  
Paulina Bittner ◽  
...  
Keyword(s):  
San Juan ◽  
Underwater Acoustic ◽  
Acoustic Data

scholarly journals Let the Children Listen: A First Approximation to the Sound Environment Assessment of Children through a Soundwalk Approach

2020 ◽  
Vol 17 (12) ◽  
pp. 4185
Author(s):  
Laura Estévez-Mauriz ◽  
Jens Forssén ◽  
Georgios Zachos ◽  
Wolfgang Kropp
Keyword(s):  
Background Noise ◽  
Traffic Volume ◽  
View Point ◽  
Sound Sources ◽  
Acoustic Data ◽  
Environment Quality ◽  
First Approximation ◽  
Individual Assessment ◽  
Sound Environment

The urban sound environment is one of the layers that characterizes a city, and several methodologies are used for its assessment, including the soundwalk approach. However, this approach has been tested mainly with adults. In the work presented here, the aim is to investigate a soundwalk methodology for children, analyzing the sound environment of five different sites of Gothenburg, Sweden, from children’s view-point, giving them the opportunity to take action as an active part of society. Both individual assessment of the sound environment and acoustic data were collected. The findings suggested that among significant results, children tended to rank the sound environment as slightly better when lower levels of background noise were present ( L A 90 ). Moreover, traffic dominance ratings appeared as the best predictor among the studied sound sources: when traffic dominated as a sound source, the children rated the sound environment as less good. Additionally, traffic volume appeared as a plausible predictor for sound environment quality judgments, since the higher the traffic volume, the lower the quality of the sound environment. The incorporation of children into urban sound environment research may be able to generate new results in terms of children’s understanding of their sound environment. Moreover, sound environment policies can be developed from and for children.

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