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National Institute of Ocean Technology Pallikaranai
网络首发:2014-07-11,
纸质出版:2014
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Ambient noise during rough weather and cyclones in the shallow Bay of Bengal[J]. 海洋湖沼学报(英文), 2014,32(4):921-932.
Sanjana, M.C., Latha, G. & Thirunavukkarasu, A. Ambient noise during rough weather and cyclones in the shallow Bay of Bengal., Chin. J. Ocean. Limnol. 32, 921–932 (2014). https://doi.org/10.1007/s00343-014-2238-2
Ambient noise during rough weather and cyclones in the shallow Bay of Bengal[J]. 海洋湖沼学报(英文), 2014,32(4):921-932. DOI: 10.1007/s00343-014-2238-2.
Sanjana, M.C., Latha, G. & Thirunavukkarasu, A. Ambient noise during rough weather and cyclones in the shallow Bay of Bengal., Chin. J. Ocean. Limnol. 32, 921–932 (2014). https://doi.org/10.1007/s00343-014-2238-2 DOI:
This paper presents ambient noise analysis during rough weather
using time series measurements from an automated noise measurement system in the shallow southwest Bay of Bengal during October–November 2010. The period witnessed low-pressure events including depressions and cyclones
with JAL cyclone passing close to the measurement site. The time series noise level shows a shift in mid-October
after which deep depressions and cyclones formed
with an average increase of 5–10 dB in the lower band and 2–3 dB in the higher band of frequencies. Furthermore
correlation between noise level and wave height (data from wave rider buoy deployed at the site) for sea state scale 3 and above shows good correlation with an increase in noise level with increase in wave height
the effect being most pronounced at 0.5 kHz. The noise captured during JAL was analysed to identify the spectrum components due to convective precipitation and heavy wind/wave activity and shows anomalously high levels during the crossing of the cyclone. Rain noise spectra from the rain bands associated with the wall of the cyclone are reported. This has been correlated with radar reflectivity measurements to ascertain the presence of rain
and discriminate between convective and stratiform types. Also
vertical directionality pattern of ambient noise during JAL showed clearly distinct surface contributions. On the whole
knowledge of ambient noise fields during high sea states and precipitation is useful in optimizing SONAR performance. The findings at the study site have been compared with measurements from other shallow water locations during rough weather.
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