Modelling of ships as a source of underwater noise
Journal article, 2018

In this paper, a methodology is presented for modelling underwater noise emissions from ships based on realistic vessel activity in the Baltic Sea region. This paper combines the Wittekind noise source model with the Ship Traffic Emission Assessment Model (STEAM) in order to produce regular updates for underwater noise from ships. This approach allows the construction of noise source maps, but requires parameters which are not commonly available from commercial ship technical databases. For this reason, alternative methods were necessary to fill in the required information. Most of the parameters needed contain information that is available during the STEAM model runs, but features describing propeller cavitation are not easily recovered for the world fleet. Baltic Sea ship activity data were used to generate noise source maps for commercial shipping. Container ships were recognized as the most significant source of underwater noise, and the significant potential for an increase in their contribution to future noise emissions was identified.

Author

J. P. Jalkanen

Finnish Meteorological Institute (FMI)

L. Johansson

Finnish Meteorological Institute (FMI)

Mattias Liefvendahl

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

Swedish Defence Research Agency (FOI)

Rickard Bensow

Chalmers, Mechanics and Maritime Sciences (M2), Marine Technology

P. Sigray

Swedish Defence Research Agency (FOI)

M. Östberg

Swedish Defence Research Agency (FOI)

I. Karasalo

Swedish Defence Research Agency (FOI)

Mathias Andersson

Swedish Defence Research Agency (FOI)

Heikki Peltonen

Finnish Environment Institute

Jukka Pajala

Finnish Environment Institute

Ocean Science

1812-0784 (ISSN) 18120792 (eISSN)

Vol. 14 6 1373-1383

Subject Categories

Transport Systems and Logistics

Vehicle Engineering

Fluid Mechanics and Acoustics

Signal Processing

DOI

10.5194/os-14-1373-2018

Related datasets

Data from: Modelling of ships as a source of underwater noise [dataset]

DOI: 10.5061/dryad.nt22g30

More information

Latest update

9/21/2023