Mapping probability of shipping sound exposure level

Gervaise, Cédric; Aulanier, Florian; Simard, Yvan; Roy, Nathalie

doi:10.1121/1.4921673

Cited by 16 publications

(6 citation statements)

References 11 publications

(9 reference statements)

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“…As a corollary to individual vessel's noise assessment, the development of general model forms of vessel noise have also been drafted using AIS, specifically the propagation of vessel noise within generalized zones of interest. This work includes predictive modeling of noise fields, incorporating vessel traffic information from AIS (Gervaise et al 2015). A branch of this work explores the masking effect of the noise field with respect to biologically critical frequency bands used by whale (Hatch et al 2012;Maglio et al 2015) and porpoise (Erbe et al 2014) species as exemplars.…”

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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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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“…Šiuo metu yra žinoma nemažai sudėtingų fizikinių povandeninio triukšmo modelių (Jensen et al 2011;Carey, Evans 2011;Etter 2012), tačiau supaprastintų priemonių, skirtų povandeniniam triukšmui modeliuoti bei aplinkos būklei vertinti, vis dar yra nedaug (Erbe et al 2012). Šiuo tikslu Klaipėdos universitete buvo pradėtas kurti supaprastintas povandeninio triukšmo modelis, kurį taikant galima prognozuoti laivų sukeliamo triukšmo lygius erdvėje, pasitelkiant jau turimą kitų šalių patirtį (Erbe et al 2014;Gervaise et al 2015;Simard et al 2016). Šio modelio programavimas buvo suskirstytas į 3 etapus: 1) programinio modulio, skirto automatinės identifikavimo sistemos (AIS) laivų registravimo duomenims apdoroti bei laivų triukšmo lygiams (GSL) tiriamoje vietovėje apskaičiuoti, sukūrimas; 2) modulio, skirto triukšmo lygių vidurkiams apskaičiuoti priklausomą triukšmo sklidimą, įtraukiant mažo gylio atkirtimo dažnio bei žemo dažnio korekcijas; 3) apskaičiavo triukšmo lygių vidurkius bei statistinius duomenis langeliuose bei erdvinį duomenų tinklelį toliau apdoroti (kartografuoti).…”

Section: įVadasunclassified

Underwater Noise Modeling in Lithuanian Area of the Baltic Sea

Bagočius

Narščius

2017

Science - Future of Lithuania

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2017 © Straipsnio autoriai. Leidėjas VGTU leidykla "Technika". Šis straipsnis yra atvirosios prieigos straipsnis, turintis Kūrybinių bendrijų (Creative Commons) licenciją (CC BY-NC 4.0), kuri leidžia neribotą straipsnio ar jo dalių panaudą su privaloma sąlyga nurodyti autorių ir pirminį šaltinį. Straipsnis ar jo dalys negali būti naudojami komerciniams tikslams. MOKSLAS -LIETUVOS ATEITIS SCIENCE -FUTURE OF LITHUANIA

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“…For underwater noise, attempts have been made to describe the anthropogenic contributions ( Hildebrand, 2009 ; Miksis-Olds and Nichols, 2016 ), especially shipping ( Audoly et al, 2017 ; Erbe et al, 2014 ; Gervaise et al, 2015 ; Hatch et al, 2008 ; Leaper, 2019 ; McKenna et al, 2012 ; Porter and Henderson, 2013 , 2014 ; Sertlek et al, 2019 ; Williams et al, 2014 , 2015 ), but these are rarely available at global level even when using a proxy variable like Gross Domestic Product (GDP) ( Frisk, 2012 ). One of the first regional attempts to systematically map a regional soundscape was made in the BIAS project for the Baltic Sea ( Mustonen et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%