Modelling of ships as a source of underwater noise
Artikel i vetenskaplig tidskrift, 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.

Författare

J. P. Jalkanen

Finnish Meteorological Institute

L. Johansson

Finnish Meteorological Institute

Mattias Liefvendahl

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

Totalförsvarets forskningsinstitut (FOI)

Rickard Bensow

Chalmers, Mekanik och maritima vetenskaper, Marin teknik

P. Sigray

Totalförsvarets forskningsinstitut (FOI)

M. Östberg

Totalförsvarets forskningsinstitut (FOI)

I. Karasalo

Totalförsvarets forskningsinstitut (FOI)

Mathias Andersson

Totalförsvarets forskningsinstitut (FOI)

Heikki Peltonen

Suomen ympäristökeskus SYKE

Jukka Pajala

Suomen ympäristökeskus SYKE

Ocean Science

1812-0784 (ISSN) 18120792 (eISSN)

Vol. 14 6 1373-1383

Ämneskategorier

Transportteknik och logistik

Farkostteknik

Strömningsmekanik och akustik

Signalbehandling

DOI

10.5194/os-14-1373-2018

Relaterade dataset

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

DOI: 10.5061/dryad.nt22g30

Mer information

Senast uppdaterat

2023-09-21