Modeling vessel noise emissions through the accumulation and propagation of Automatic Identification System data
Modeling vessel noise emissions through the accumulation and propagation of Automatic Identification System data
Recent research has demonstrated the importance of soundscape characterization, modeling, and mapping with regard to their potential to highlight noise levels that can adversely affect fish behavior. Models and noise maps are seen as valuable tools for generating comprehensive information at relatively low costs; a model-based approach presents a powerful and cost-effective way to evaluate noise levels. This research aims to develop a vessel noise modeling method using Automatic Identification System (AIS) and online data. The vessel noise map is produced using estimated source levels of individual ships at each AIS transmission point along a vessel transit line. The accumulation and propagation of these transit line emissions, in 1 km grid squares, produces an ocean shipping noise map showing average received levels over the desired time period. The results show temporal and spatial differences in vessel noise emissions, with summer months nosier than winter months, and coastal areas and known shipping channels much nosier than the open ocean. Unlike many previous models, this approach uses individual vessel source emissions, and is very computationally efficient even for large datasets.
Marine vehicle noise, Noise propagation, Oceans, Acoustic modeling, Marine vessels
1-10
Neenan, Sarah Tegan Victoria
3a16f0d6-1bc3-4405-98fa-1c2ceac38d04
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Leighton, Timothy
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Shaw, Peter
935dfebf-9fb6-483c-86da-a21dba8c1989
June 2017
Neenan, Sarah Tegan Victoria
3a16f0d6-1bc3-4405-98fa-1c2ceac38d04
White, Paul
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Leighton, Timothy
3e5262ce-1d7d-42eb-b013-fcc5c286bbae
Shaw, Peter
935dfebf-9fb6-483c-86da-a21dba8c1989
Neenan, Sarah Tegan Victoria, White, Paul, Leighton, Timothy and Shaw, Peter
(2017)
Modeling vessel noise emissions through the accumulation and propagation of Automatic Identification System data.
Proceedings of Meetings on Acoustics, 27 (070017), .
(doi:10.1121/2.0000338).
Abstract
Recent research has demonstrated the importance of soundscape characterization, modeling, and mapping with regard to their potential to highlight noise levels that can adversely affect fish behavior. Models and noise maps are seen as valuable tools for generating comprehensive information at relatively low costs; a model-based approach presents a powerful and cost-effective way to evaluate noise levels. This research aims to develop a vessel noise modeling method using Automatic Identification System (AIS) and online data. The vessel noise map is produced using estimated source levels of individual ships at each AIS transmission point along a vessel transit line. The accumulation and propagation of these transit line emissions, in 1 km grid squares, produces an ocean shipping noise map showing average received levels over the desired time period. The results show temporal and spatial differences in vessel noise emissions, with summer months nosier than winter months, and coastal areas and known shipping channels much nosier than the open ocean. Unlike many previous models, this approach uses individual vessel source emissions, and is very computationally efficient even for large datasets.
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More information
Accepted/In Press date: November 2016
e-pub ahead of print date: February 2017
Published date: June 2017
Venue - Dates:
Fourth International Conference on the Effects of Noise on Aquatic Life, , Dublin, Ireland, 2016-07-10 - 2016-07-16
Keywords:
Marine vehicle noise, Noise propagation, Oceans, Acoustic modeling, Marine vessels
Identifiers
Local EPrints ID: 415944
URI: http://eprints.soton.ac.uk/id/eprint/415944
ISSN: 1939-800X
PURE UUID: da452423-c0c8-47f3-b4c5-ef929dee4106
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Date deposited: 29 Nov 2017 17:30
Last modified: 16 Mar 2024 02:46
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