Long-term trends in ambient noise levels.

2009 ◽  
Vol 126 (4) ◽  
pp. 2195
Author(s):  
George V. Frisk
Keyword(s):  
Ambient Noise ◽  
Noise Levels ◽  
Long Term Trends

Detection of long term trends in underwater noise levels

2016 ◽  
Vol 140 (4) ◽  
pp. 3024-3024
Author(s):  
Claire F. Powell ◽  
Nathan D. Merchant
Keyword(s):  
Underwater Noise ◽  
Noise Levels ◽  
Long Term Trends

Fall asleep or freeze? In home settings, extreme low and high levels of ambient noise associate with reductions in infants’ spontaneous movement.

2020 ◽  
Author(s):  
Sam Wass
Keyword(s):  
Ambient Noise ◽  
Physiological Stress ◽  
Compensatory Mechanism ◽  
Early Exposure ◽  
Noise Levels ◽  
Spontaneous Movement ◽  
High Sound ◽  
Detailed Picture ◽  
Sound Data

Early exposure to noisy, chaotic home environments is associated with increased physiological stress and adverse long-term cognitive and clinical outcomes. However, this research has generally used questionnaires to measure average household noise, despite that stress is, by definition, a dynamic, compensatory mechanism – thus obscuring the detailed picture of how we are dynamically influenced by, and compensate for, stressors in our environment. Here, we used miniaturised microphones and autonomic monitors to measure noise and infants’ spontaneous movement at home. We observed an inverse-U-shaped relationship, such that less movement was observed at extreme low and high ambient noise levels. This relationship was observed across multiple settings and time scales; however, when we removed the autocorrelation (i.e. slow-varying fluctuation) from the sound data, it disappeared and only a linear relationship (higher movement associated with higher sound) was observed. This indicates that the effect of reduced movement at extreme high sound is driven by sustained episodes of high sound. This effect may be caused by temporary fatigue, or by children actively down-regulating their movement levels to compensate for highly arousing situations - analogous to a newborn closing their eyes when over-stimulated. Implications of these findings for understanding how noisy/chaotic environments affect development are discussed.

scholarly journals Evaluation and Analysis of Environmental Noise Pollution in Seven Major Cities of India

2017 ◽  
Vol 42 (2) ◽  
pp. 175-188 ◽  
Author(s):  
Naveen Garg ◽  
A. K. Sinha ◽  
M. Dahiya ◽  
V. Gandhi ◽  
R. M. Bhardwaj ◽  
...  
Keyword(s):  
Ambient Noise ◽  
Monitoring Network ◽  
Noise Pollution ◽  
Pilot Project ◽  
Environmental Noise ◽  
Noise Levels ◽  
Annual Average ◽  
Noise Abatement ◽  
Continuous Noise

Abstract The paper describes the noise monitoring data acquired from the pilot project on the establishment of National Ambient Noise Monitoring Network (NANMN) across seven major cities in India for continuous noise monitoring throughout the year. The annual average Lday (06-22 h) and Lnight (22-06 h) values observed in year 2011-2014 for the 35 locations under study in which 14 locations are in commercial zone,5 in Industrial, 7 in residential and 9 in silence zones are described. The long-term noise monitoring shows that ambient noise levels have marginally increased for 29 sites (82.9%) since past four years. The present study is focused on evaluation and analysis of environmental noise pollution at 35 noise monitoring sites in seven major cities of India and shall be instrumental in planning for the noise abatement measures for controlling the noise pollution in these sites.

Commercial trawling in seagrass beds: bycatch and long-term trends in effort of a major shrimp fishery

2014 ◽  
Vol 513 ◽  
pp. 143-153 ◽  
Author(s):  
CD Stallings ◽  
JP Brower ◽  
JM Heinlein Loch ◽  
A Mickle
Keyword(s):  
Seagrass Beds ◽  
Shrimp Fishery ◽  
Long Term Trends
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