The effect of sound speed profile on shallow water shipping sound maps

Sertlek, Hüseyin Özkan; Binnerts, Bas; Ainslie, Michael A.

doi:10.1121/1.4954712

Cited by 12 publications

(9 citation statements)

References 3 publications

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“…1 B) revealed positive sound velocity profiles in the winter season (the period of 2015 January–February), were the sound propagation conditions with the winter surface ducting are formed. In this period the change of sound velocity gradients counted as between the values of 0.03–0.125 s −1 (the value of sound change by 1 m/s per 1 m depth see [6] ). During the rest of the year (spring–summer–autumn seasons), the sound velocity profiles assumed to be an ISO and negatively inclined, where the sound propagation taking place in the “mode stripping” region, with extensive surface-bottom interaction of sound waves [7] .…”

Section: Methods Detailsmentioning

confidence: 99%

Method for the simplistic modelling of the acoustic footprint of the vessels in the shallow marine area

2018

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Section: Methods Detailsmentioning

confidence: 99%

Method for the simplistic modelling of the acoustic footprint of the vessels in the shallow marine area

2018

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“…On the basis of SL empirical models, Hamson [60], Etter [61], Anon [62], Courtois [63], Colin [64], Audoly [65], Aulanier [66], Jones [67], Folegot [68], Soares [69], Erbe [70], Sertlek [71], and Buszman [72,73], devoted studies to the noise field produced by merchant ships in specific sea areas. Ainslie [35] and Carey [9] introduced the noise mapping of merchants ships in Principles of Sonar Performance Modelling and Ocean Ambient Noise Measurement and Theory, respectively.…”

Section: Tab 2 Comparison Of Urn Models Of Merchant Shipmentioning

confidence: 99%

“…Sound maps for the isovelocity case. Ship source depth is 5 m. The wind generated sound is added to all maps [71] a summaRY of empiRical souRce level models…”

Section: Tab 2 Comparison Of Urn Models Of Merchant Shipmentioning

confidence: 99%

Review of Research Results Concerning the Modelling of Shipping Noise

Xiaowei¹,

Song²,

Peng

et al. 2021

Polish Maritime Research

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The effect of underwater radiated noise (URN) pollution (produced by merchant ships) on marine ecology has become a topic of extreme concern for both the academic community and the general public. This paper summarises some research results and modelling about shipping noise published over several decades, which comprises the research significance of low-frequency ambient noise and shipping noise, shipping noise source levels (SL), empirical models and the measurement standards of shipping noise. In short, we try to present an overall outline of shipping noise and ocean ambient noise for related research.

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“…A second avenue of work here augments modeling by clarifying the implications of shallow water for vessel-to-animal noise interactions (Hermannsen et al 2014;Sertlek et al 2016).…”

Section: Ship Noise Field Propagationmentioning

confidence: 99%

Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

Fournier

Hilliard²,

Rezaee

et al. 2018

WMU J Marit Affairs

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In 2016, the world shipping fleet grew by 3.5%. Even if the annual growth rate remains at its lowest since 2013, the global situation is still in overcapacity (UNCTAD 2016). Ninety percent of global trade, by volume, is done by sea. Monitoring this fleet helps with vessel navigation, informing to help avoid critical situations such as collisions, accidents leading to oil pollution, grounding, or ships in distress, but also because traffic management in congested areas is essential. For system wide management, in regions such as MPAs (marine protected areas), conservation is the key factor, and movements can be monitored and analyzed in order to determine illegal or suspicious activities, or in order to limit and/or divert traffic, to mitigate the risks to species subject to protection. It is among these efforts that the automatic identification system (AIS) can play a key role. Since 2004, this VHF transceiver-based reporting system, imposed by the International Maritime Organization (IMO), has shifted from a traditional vessel identification device to a tool used in a wide variety of applications. The most common uses are safety and security; these issues are quite visible in the media and may touch more people on a global scale (e.g., piracy, oil spills). Over the years, AIS has become, especially with the emergence of the satellite-based capture of the signal in 2011, a widely used tool for developing applications such as fisheries monitoring, marine conservation, air pollution forecasting and modeling, ballast water monitoring, invasive species transport, and many more. In this paper, we propose to review the peerreviewed publications related to the uses and applications of the AIS.

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The effect of sound speed profile on shallow water shipping sound maps

Cited by 12 publications

References 3 publications

Method for the simplistic modelling of the acoustic footprint of the vessels in the shallow marine area

Method for the simplistic modelling of the acoustic footprint of the vessels in the shallow marine area

Review of Research Results Concerning the Modelling of Shipping Noise

Past, present, and future of the satellite-based automatic identification system: areas of applications (2004–2016)

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