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dc.contributor.authorTrigg, L
dc.contributor.authorChen, F
dc.contributor.authorShapiro, Georgy
dc.contributor.authorIngram, Simon
dc.contributor.authorEmbling, Clare
dc.date.accessioned2018-05-03T09:42:02Z
dc.date.issued2018-06
dc.identifier.issn0025-326X
dc.identifier.issn1879-3363
dc.identifier.urihttp://hdl.handle.net/10026.1/11396
dc.description.abstract

Underwater noise pollution from shipping is a significant ecological concern. Acoustic propagation models are essential to predict noise levels and inform management activities to safeguard ecosystems. However, these models can be computationally expensive to execute. To increase computational efficiency, ships are spatially partitioned using grids but the cell size is often arbitrary. This work presents an adaptive grid where cell size varies with distance from the receiver to increase computational efficiency and accuracy. For a case study in the Celtic Sea, the adaptive grid represented a 2 to 5 fold increase in computational efficiency in August and December respectively, compared to a high resolution 1 km grid. A 5 km grid increased computational efficiency 5 fold again. However, over the first 25 km, the 5 km grid produced errors up to 13.8 dB compared to the 1 km grid, whereas, the adaptive grid generated errors of less than 0.5 dB.

dc.format.extent589-601
dc.format.mediumPrint-Electronic
dc.languageen
dc.language.isoen
dc.publisherElsevier
dc.subjectShipping
dc.subjectUnderwater noise
dc.subjectAcoustic propagation models
dc.titleAn adaptive grid to improve the efficiency and accuracy of modelling underwater noise from shipping
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000437060300067&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issuePt A
plymouth.volume131
plymouth.publication-statusPublished
plymouth.journalMarine Pollution Bulletin
dc.identifier.doi10.1016/j.marpolbul.2018.04.034
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Biological and Marine Sciences
plymouth.organisational-group/Plymouth/PRIMaRE Publications
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Research Groups
plymouth.organisational-group/Plymouth/Research Groups/Marine Institute
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
plymouth.organisational-group/Plymouth/Users by role/Researchers in ResearchFish submission
dc.publisher.placeEngland
dcterms.dateAccepted2018-04-12
dc.rights.embargodate2019-5-3
dc.identifier.eissn1879-3363
dc.rights.embargoperiod12 months
rioxxterms.versionAccepted Manuscript
rioxxterms.versionofrecord10.1016/j.marpolbul.2018.04.034
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2018-06
rioxxterms.typeJournal Article/Review


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