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An empirical model for wind-generated underwater noise is presented that was developed using an extensive dataset of acoustic field recordings and a global wind model. These data encompass more than one hundred years of recording-time and capture high wind events, and were collected both on shallow continental shelves and in open ocean deep-water settings. The model aims to explicitly separate noise generated by wind-related sources from noise produced by anthropogenic sources. Two key wind-related sound-generating mechanisms considered are: surface wave and turbulence interactions, and bubble and bubble cloud oscillations. The model for wind-generated noise shows small frequency dependence (5 dB/decade) at low frequencies (10-100 Hz), and larger frequency dependence (∼15 dB/decade) at higher frequencies (400 Hz-20 kHz). The relationship between noise level and wind speed is linear for low wind speeds (<3.3 m/s) and increases to a higher power law (two or three) at higher wind speeds, suggesting a transition between surface wave/turbulence and bubble source mechanisms. At the highest wind speeds (>15 m/s), noise levels begin to decrease at high frequencies (>10 kHz), likely due to interaction between bubbles and screening of noise radiation in the presence of high-density bubble clouds.
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http://dx.doi.org/10.1121/10.0005430 | DOI Listing |
J Acoust Soc Am
May 2025
Rosenstiel School of Marine, Atmospheric and Earth Sciences, University of Miami, Miami, Florida 33149, USA.
Traditionally, wind-generated ocean noise has been described empirically as a frequency spectrum with parametric dependence on measurement depth and local wind speed. In contrast, wind-generated noise is described and modeled here as a slowly varying directional spectrum that is excited at the sea surface by a continuum of dipole radiators and whose subsurface structure is constrained by a radiation transport equation. An empirical model of the spectral density in frequency of downward propagating wind-generated noise is used to initialize the model.
View Article and Find Full Text PDFMaterials (Basel)
March 2025
School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
Energy storage systems play a vital role in balancing solar- and wind-generated power. However, the uncertainty of their lifespan is a key factor limiting their large-scale applications. While currently reported battery aging models, empirical or semi-empirical, are capable of accurately assessing battery decay under specific operating conditions, they cannot reliably predict the battery lifespan beyond the measured data.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Electrical and Computer Engineering, University of Texas at Dallas, Richardson, TX 75080, USA.
Freezing of wind turbines causes loss of wind-generated power. Forecasting or prediction of icing on wind turbine blades based on SCADA sensor data allows taking appropriate actions before icing occurs. This paper presents a newly developed deep learning network model named PCTG (Parallel CNN-TCN GRU) for the purpose of high-accuracy and long-term prediction of icing on wind turbine blades.
View Article and Find Full Text PDFJ Acoust Soc Am
November 2024
Department of Physics, Naval Postgraduate School, Monterey, California 93943, USA.
Wind over the ocean creates breaking waves that generate air-filled bubbles, which radiate underwater sound. This wind-generated sound is a significant component of the ocean soundscape, and models are essential for understanding and predicting its impact. Models for predicting sound pressure level (SPL) from wind have been studied for many years.
View Article and Find Full Text PDFSci Total Environ
February 2024
College of Environment, Hohai University, Nanjing, 210098, China. Electronic address:
As a typical shallow lake with a wind-generated flow, the resuspension state of sediment and phosphorus release under wind field disturbance plays an important role in controlling lake eutrophication in Lake Chao. In this study, we proposed a combination of experimental analysis of dynamic disturbances, wind-wave disturbance shear stress calculation, and model simulation (experimental-calculative-modeling) to quantitatively investigate the effects of wind-wave disturbances on the resuspension state of Lake Chao bottom sediment and phosphorus release and distribution. The results showed that the release rate of phosphorus from the Lake Chao bottom sediment was affected by the wind field and bottom sediment content, which varied significantly spatially and showed some difference between different seasons.
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