Articles | Volume 14, issue 6
https://doi.org/10.5194/os-14-1373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/os-14-1373-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Nov 2018
Research article |
| 07 Nov 2018
| 07 Nov 2018
Modelling of ships as a source of underwater noise
Jukka-Pekka Jalkanen
CORRESPONDING AUTHOR
Atmospheric Composition Research, Finnish Meteorological Institute,
00560 Helsinki, Finland
Lasse Johansson
Atmospheric Composition Research, Finnish Meteorological Institute,
00560 Helsinki, Finland
Mattias Liefvendahl
Mechanics and Maritime Sciences, Chalmers University of Technology,
41296 Gothenburg, Sweden
Underwater Technology, Defence and Security, Systems and Technology,
Swedish Defense Research Agency, 16490 Stockholm, Sweden
Rickard Bensow
Mechanics and Maritime Sciences, Chalmers University of Technology,
41296 Gothenburg, Sweden
Peter Sigray
Underwater Technology, Defence and Security, Systems and Technology,
Swedish Defense Research Agency, 16490 Stockholm, Sweden
Martin Östberg
Underwater Technology, Defence and Security, Systems and Technology,
Swedish Defense Research Agency, 16490 Stockholm, Sweden
Ilkka Karasalo
Underwater Technology, Defence and Security, Systems and Technology,
Swedish Defense Research Agency, 16490 Stockholm, Sweden
Mathias Andersson
Underwater Technology, Defence and Security, Systems and Technology,
Swedish Defense Research Agency, 16490 Stockholm, Sweden
Heikki Peltonen
Marine Research Centre, Finnish Environment Institute, 00790 Helsinki,
Finland
Jukka Pajala
Marine Research Centre, Finnish Environment Institute, 00790 Helsinki,
Finland
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Cited
21 citations as recorded by crossref.
- A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data A. MacGillivray & C. de Jong 10.3390/jmse9040369
- Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. 10.5194/os-17-699-2021
- Source specific sound mapping: Spatial, temporal and spectral distribution of sound in the Dutch North Sea H. Sertlek et al. 10.1016/j.envpol.2019.01.119
- A Meta-Analysis to Understand the Variability in Reported Source Levels of Noise Radiated by Ships From Opportunistic Studies C. Chion et al. 10.3389/fmars.2019.00714
- A decade of underwater noise research in support of the European Marine Strategy Framework Directive N. Merchant et al. 10.1016/j.ocecoaman.2022.106299
- Forecasting shifts in habitat suitability of three marine predators suggests a rapid decline in inter‐specific overlap under future climate change F. van Beest et al. 10.1002/ece3.9083
- Design of a hydro sound intensity probe for quantification and localization of acoustic sources — Applied to a hubless marine rim drive M. Witte et al. 10.1016/j.oceaneng.2022.113227
- It Often Howls More than It Chugs: Wind versus Ship Noise Under Water in Australia’s Maritime Regions C. Erbe et al. 10.3390/jmse9050472
- Spatial and temporal variation of three-dimensional ship noise coherence in a submarine canyon B. DeCourcy & Y. Lin 10.1121/10.0017166
- Energy Optimization Techniques in Underwater Internet of Things: Issues, State-of-the-Art, and Future Directions D. Kesari Mary et al. 10.3390/w14203240
- A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things D. Mary et al. 10.3390/s21248262
- Framework for the environmental impact assessment of operational shipping J. Moldanová et al. 10.1007/s13280-021-01597-9
- Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. 10.5194/esd-13-1-2022
- A functional regression analysis of vessel source level measurements from the Enhancing Cetacean Habitat and Observation (ECHO) database A. MacGillivray et al. 10.1121/10.0013747
- Low-to-Mid-Frequency Monopole Source Levels of Underwater Noise from Small Recreational Vessels in the St. Lawrence Estuary Beluga Critical Habitat D. Lagrois et al. 10.3390/s23031674
- Evaluation of urban inland waterway traffic noise using a modified Nord 2000 prediction model B. Dai et al. 10.1016/j.envres.2020.109437
- Underwater Noise Emissions from Ships During 2014-2020 J. Jalkanen et al. 10.2139/ssrn.3951731
- Small reductions in cargo vessel speed substantially reduce noise impacts to marine mammals C. Findlay et al. 10.1126/sciadv.adf2987
- Acoustic characterization of a cavitation tunnel for ship propeller noise studies J. Bocanegra et al. 10.1016/j.joes.2024.02.001
- Vessel noise in spatially constricted areas: Modeling acoustic footprints of large vessels in the Cabot Strait, Eastern Canada S. Cominelli et al. 10.1016/j.ocecoaman.2020.105255
- Transfer-path analysis to estimate underwater radiated noise from onboard structure-borne sources J. Fragasso et al. 10.1016/j.apor.2024.103979
21 citations as recorded by crossref.
- A Reference Spectrum Model for Estimating Source Levels of Marine Shipping Based on Automated Identification System Data A. MacGillivray & C. de Jong 10.3390/jmse9040369
- Modelling of discharges from Baltic Sea shipping J. Jalkanen et al. 10.5194/os-17-699-2021
- Source specific sound mapping: Spatial, temporal and spectral distribution of sound in the Dutch North Sea H. Sertlek et al. 10.1016/j.envpol.2019.01.119
- A Meta-Analysis to Understand the Variability in Reported Source Levels of Noise Radiated by Ships From Opportunistic Studies C. Chion et al. 10.3389/fmars.2019.00714
- A decade of underwater noise research in support of the European Marine Strategy Framework Directive N. Merchant et al. 10.1016/j.ocecoaman.2022.106299
- Forecasting shifts in habitat suitability of three marine predators suggests a rapid decline in inter‐specific overlap under future climate change F. van Beest et al. 10.1002/ece3.9083
- Design of a hydro sound intensity probe for quantification and localization of acoustic sources — Applied to a hubless marine rim drive M. Witte et al. 10.1016/j.oceaneng.2022.113227
- It Often Howls More than It Chugs: Wind versus Ship Noise Under Water in Australia’s Maritime Regions C. Erbe et al. 10.3390/jmse9050472
- Spatial and temporal variation of three-dimensional ship noise coherence in a submarine canyon B. DeCourcy & Y. Lin 10.1121/10.0017166
- Energy Optimization Techniques in Underwater Internet of Things: Issues, State-of-the-Art, and Future Directions D. Kesari Mary et al. 10.3390/w14203240
- A Systematic Review on Recent Trends, Challenges, Privacy and Security Issues of Underwater Internet of Things D. Mary et al. 10.3390/s21248262
- Framework for the environmental impact assessment of operational shipping J. Moldanová et al. 10.1007/s13280-021-01597-9
- Human impacts and their interactions in the Baltic Sea region M. Reckermann et al. 10.5194/esd-13-1-2022
- A functional regression analysis of vessel source level measurements from the Enhancing Cetacean Habitat and Observation (ECHO) database A. MacGillivray et al. 10.1121/10.0013747
- Low-to-Mid-Frequency Monopole Source Levels of Underwater Noise from Small Recreational Vessels in the St. Lawrence Estuary Beluga Critical Habitat D. Lagrois et al. 10.3390/s23031674
- Evaluation of urban inland waterway traffic noise using a modified Nord 2000 prediction model B. Dai et al. 10.1016/j.envres.2020.109437
- Underwater Noise Emissions from Ships During 2014-2020 J. Jalkanen et al. 10.2139/ssrn.3951731
- Small reductions in cargo vessel speed substantially reduce noise impacts to marine mammals C. Findlay et al. 10.1126/sciadv.adf2987
- Acoustic characterization of a cavitation tunnel for ship propeller noise studies J. Bocanegra et al. 10.1016/j.joes.2024.02.001
- Vessel noise in spatially constricted areas: Modeling acoustic footprints of large vessels in the Cabot Strait, Eastern Canada S. Cominelli et al. 10.1016/j.ocecoaman.2020.105255
- Transfer-path analysis to estimate underwater radiated noise from onboard structure-borne sources J. Fragasso et al. 10.1016/j.apor.2024.103979
Saved (preprint)
Latest update: 29 Jun 2024
Short summary
This paper presents the implementation of an underwater noise emission module in the Ship Traffic Emission Assessment Model. This model is based on real shipping activity, as described by the vessel navigation systems, and combines it with technical descriptions of each ship. The methodology described facilitates the expression of underwater noise as emission maps, which describe the energy emitted to the water. This enables regular reporting of shipping noise and facilitates further research.
This paper presents the implementation of an underwater noise emission module in the Ship...
