Damped cylindrical spreading model: Estimation of mitigated pile driving noise levels

2021 ◽  
Vol 184 ◽  
pp. 108350
Author(s):  
Jasmin Jestel ◽  
Jonas von Pein ◽  
Tristan Lippert ◽  
Otto von Estorff
Keyword(s):  
Pile Driving ◽  
Model Estimation ◽  
Noise Levels ◽  
Spreading Model

Assessing underwater noise levels during pile-driving at an offshore windfarm and its potential effects on marine mammals

2010 ◽  
Vol 60 (6) ◽  
pp. 888-897 ◽  
Author(s):  
Helen Bailey ◽  
Bridget Senior ◽  
Dave Simmons ◽  
Jan Rusin ◽  
Gordon Picken ◽  
...  
Keyword(s):  
Marine Mammals ◽  
Pile Driving ◽  
Underwater Noise ◽  
Noise Levels

Pile driving acoustics made simple: Damped cylindrical spreading model

2018 ◽  
Vol 143 (1) ◽  
pp. 310-317 ◽  
Author(s):  
Tristan Lippert ◽  
Michael A. Ainslie ◽  
Otto von Estorff
Keyword(s):  
Pile Driving ◽  
Spreading Model

scholarly journals Harbour porpoise responses to pile-driving diminish over time

2019 ◽  
Vol 6 (6) ◽  
pp. 190335 ◽  
Author(s):  
Isla M. Graham ◽  
Nathan D. Merchant ◽  
Adrian Farcas ◽  
Tim R. Barton ◽  
Barbara Cheney ◽  
...  
Keyword(s):  
Marine Mammals ◽  
Near Field ◽  
Harbour Porpoise ◽  
Pile Driving ◽  
Noise Levels ◽  
Behavioural Disturbance ◽  
Total Displacement ◽  
Trade Offs ◽  
Probability Of Response ◽  
Over Time

Estimating impacts of offshore windfarm construction on marine mammals requires data on displacement in relation to different noise levels and sources. Using echolocation detectors and noise recorders, we investigated harbour porpoise behavioural responses to piling noise during the 10-month foundation installation of a North Sea windfarm. Current UK guidance assumes total displacement within 26 km of pile driving. By contrast, we recorded a 50% probability of response within 7.4 km (95% CI = 5.7–9.4) at the first location piled, decreasing to 1.3 km (95% CI = 0.2–2.8) by the final location; representing 28% (95% CI = 21–35) and 18% (95% CI = 13–23) displacement of individuals within 26 km. Distance proved as good a predictor of responses as audiogram-weighted received levels, presenting a more practicable variable for environmental assessments. Critically, acoustic deterrent device (ADD) use and vessel activity increased response levels. Policy and management to minimize impacts of renewables on cetaceans have concentrated on pile-driving noise. Our results highlight the need to consider trade-offs between efforts to reduce far-field behavioural disturbance and near-field injury through ADD use.

Damage Risk: An Evaluation of the Effects of Exposure to 85 versus 90 dBA of Noise

1976 ◽  
Vol 19 (2) ◽  
pp. 216-224 ◽  
Author(s):  
James T. Yates ◽  
Jerry D. Ramsey ◽  
Jay W. Holland
Keyword(s):  
White Noise ◽  
Statistical Difference ◽  
Noise Exposure ◽  
Threshold Shift ◽  
Temporary Threshold Shift ◽  
Noise Levels ◽  
Potential Damage ◽  
Full Day ◽  
Damage Risk

The purpose of this study was to compare the damage risk of 85 and 90 dBA of white noise for equivalent full-day exposures. The damage risk of the two noise levels was determined by comparing the temporary threshold shift (TTS) of 12 subjects exposed to either 85 or 90 dBA of white noise for equivalent half- and full-day exposures. TTS was determined by comparing the pre- and postexposure binaural audiograms of each subject at 1, 2, 3, 4, 6, and 8 kHz. It was concluded that the potential damage risk, that is, hazardous effect, of 90 dBA is greater than 85 dBA of noise for equivalent full-day exposures. The statistical difference between the overall effects of equivalent exposures to 85 dBA as compared to 90 dBA of noise could not be traced to any one frequency. The damage risk of a full-day exposure to 85 dBA is equivalent to that of a half-day exposure to 90 dBA of noise. Within the limits of this study, TTS t was as effective as TTS 2 for estimating the damage risk of noise exposure.

Method of Radiation Monitoring Measurement Adapted to Scanning Speed Using Nonlinear Model Estimation

2018 ◽  
Vol 138 (12) ◽  
pp. 1547-1553
Author(s):  
Yoshitsugu Nakagawa ◽  
Chisato Murakami ◽  
Kazuyuki Mori ◽  
Haruhiko Sato
Keyword(s):  
Nonlinear Model ◽  
Scanning Speed ◽  
Radiation Monitoring ◽  
Model Estimation

Effect of Pile-Driving Playback Sound Level on Fish-Catching Efficiency in Harbor Porpoises (Phocoena phocoena)

2019 ◽  
Vol 45 (4) ◽  
pp. 398-410 ◽  
Author(s):  
Ronald A. Kastelein ◽  
Léonie A. E. Huijser ◽  
Suzanne Cornelisse ◽  
Lean Helder-Hoek ◽  
Nancy Jennings ◽  
...  
Keyword(s):  
Sound Level ◽  
Pile Driving ◽  
Phocoena Phocoena ◽  
Harbor Porpoises

Reduced Detection of Indo-Pacific Bottlenose Dolphins (Tursiops aduncus) in an Inner Harbour Channel During Pile Driving Activities

2015 ◽  
Vol 41 (4) ◽  
pp. 455-468 ◽  
Author(s):  
Estênio G. Paiva ◽  
Chandra P. Salgado Kent ◽  
Marthe Monique Gagnon ◽  
Robert McCauley ◽  
Hugh Finn
Keyword(s):  
Bottlenose Dolphins ◽  
Pile Driving ◽  
Tursiops Aduncus

Determination of the Probability Distribution of the Mean Sound Level

2010 ◽  
Vol 35 (4) ◽  
pp. 543-550 ◽  
Author(s):  
Wojciech Batko ◽  
Bartosz Przysucha
Keyword(s):  
Probability Distribution ◽  
Probability Distribution Function ◽  
Mean Value ◽  
Sound Level ◽  
Function Form ◽  
Noise Levels ◽  
Logarithmic Mean ◽  
The Mean ◽  
Estimation Of Uncertainty

AbstractAssessment of several noise indicators are determined by the logarithmic mean <img src="/fulltext-image.asp?format=htmlnonpaginated&src=P42524002G141TV8_html\05_paper.gif" alt=""/>, from the sum of independent random resultsL1;L2; : : : ;Lnof the sound level, being under testing. The estimation of uncertainty of such averaging requires knowledge of probability distribution of the function form of their calculations. The developed solution, leading to the recurrent determination of the probability distribution function for the estimation of the mean value of noise levels and its variance, is shown in this paper.

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