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Estimates of source...
Estimates of source spectra of ships from long term recordings in the Baltic sea
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- Karasalo, I. (författare)
- Totalförsvarets forskningsinstitut (FOI),Swedish Defence Research Agency (FOI)
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- Östberg, M. (författare)
- Totalförsvarets forskningsinstitut (FOI),Swedish Defence Research Agency (FOI)
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- Sigray, P. (författare)
- Totalförsvarets forskningsinstitut (FOI),Swedish Defence Research Agency (FOI)
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- Jalkanen, J. P. (författare)
- Illmatieteen Laitos,Finnish Meteorological Institute (FMI)
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- Johansson, L. (författare)
- Illmatieteen Laitos,Finnish Meteorological Institute (FMI)
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- Liefvendahl, Mattias, 1971 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology,Chalmers University of Technology, Sweden; FOI, Sweden
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- Bensow, Rickard, 1972 (författare)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2017-06-16
- 2017
- Engelska.
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Ingår i: Frontiers in Marine Science. - : Frontiers Media SA. - 2296-7745. ; 4:JUN
- Relaterad länk:
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http://dx.doi.org/10...
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https://research.cha... (primary) (free)
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https://www.frontier...
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https://research.cha...
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https://doi.org/10.3...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- © 2017 Karasalo, östberg, Sigray, Jalkanen, Johansson, Liefvendahl and Bensow. Estimates of the noise source spectra of ships based on long term measurements in the Baltic sea are presented. The measurement data were obtained by a hydrophone deployed near a major shipping lane south of the island öland. Data from over 2,000 close-by passages were recorded during a 3 month period from October to December 2014. For each passage, ship-to-hydrophone transmission loss (TL) spectra were computed by sound propagation modeling using 1. bathymetry data from the Baltic Sea Bathymetry Database (BSBD), 2. sound speed profiles from the HIROMB oceanographic model, 3. seabed parameters obtained by acoustic inversion of data from a calibrated source, and 4. AIS data providing information on each ship's position. These TL spectra were then subtracted from the received noise spectra to estimate the free field source level (SL) spectra for each passage. The SL were compared to predictions by some existing models of noise emission from ships. Input parameters to the models, including e.g., ship length, width, speed, displacement, and engine mass, were obtained from AIS (Automatic Identification System) data and the STEAM database of the Finnish Metereological Institute (FMI).
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Farkostteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Vehicle Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Strömningsmekanik och akustik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Fluid Mechanics and Acoustics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
Nyckelord
- AIS
- URN
- Ship noise
- Automatic Identification System
- Underwater radiated noise
- Propagation modeling
- Baltic sea
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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