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A methodology for shipping noise field calibration and excess noise estimation: the Azores case study

2022-11-16Journal article Open access
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dc.contributor.authorJesus, Sergio
dc.contributor.authorSoares, Cristiano
dc.contributor.authorRomagosa, Miriam
dc.contributor.authorCascão, Irma
dc.contributor.authorDuarte, Ricardo
dc.contributor.authorZabel, Friedrich
dc.contributor.authorSilva, Mónica A.
dc.date.accessioned2022-11-28T10:36:28Z
dc.date.available2022-11-28T10:36:28Z
dc.date.issued2022-11-16
dc.date.updated2022-11-24T14:43:15Z
dc.description.abstractEconomic globalization and the continuous search for food, energy and raw materials led to an estimated 3 dB/decade increase of ocean noise intensity. Determining the level of anthropogenic noise, the so-called excess noise, and building identifiable meaningful indicators for supporting marine management policies currently requires extensive observation data and computer modeling. For modeling purposes, in this study, anthropogenic noise was reduced to shipping traffic drawn from Automatic Identification System data, and environmental sound was attributed to surface wind only. Data-model comparison allowed introducing a methodology for simple model calibration and estimate excess noise. This methodology was tested on acoustic recordings performed in June 2018 at three locations to the southwest of Faial-Pico Islands in the Azores archipelago. The results show that field-calibrated excess noise sound maps are in line with the shipping distribution in the area, revealing a number of potentially marine life-threatening hotspots. Excess noise addresses the need for a quantifiable measure of ocean noise only and therefore offers a basis for building suitable continuous anthropogenic noise pollution indicators.pt_PT
dc.description.sponsorshipEU Fund 01-0145-FEDER-000140; Grant M3.1.a/F/028/2015
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationJournal of Marine Science and Engineering 10 (11): 1763 (2022)pt_PT
dc.identifier.doi10.3390/jmse10111763pt_PT
dc.identifier.eissn2077-1312
dc.identifier.urihttp://hdl.handle.net/10400.1/18548
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationAssessing vocal behavior of fin whales for robust density estimation from passive acoustics
dc.relationUAc - Okeanos R&D Centre - University of the Azores
dc.relationUAc - Okeanos R&D Centre - University of the Azores
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectOcean soundscapept_PT
dc.subjectShipping noisept_PT
dc.subjectExcess noisept_PT
dc.subjectField calibrationpt_PT
dc.subjectAzores archipelagopt_PT
dc.titleA methodology for shipping noise field calibration and excess noise estimation: the Azores case studypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAssessing vocal behavior of fin whales for robust density estimation from passive acoustics
oaire.awardTitleUAc - Okeanos R&D Centre - University of the Azores
oaire.awardTitleUAc - Okeanos R&D Centre - University of the Azores
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FBIA-BMA%2F30514%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05634%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05634%2F2020/PT
oaire.citation.issue11pt_PT
oaire.citation.startPage1763pt_PT
oaire.citation.titleJournal of Marine Science and Engineeringpt_PT
oaire.citation.volume10pt_PT
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameJesus
person.givenNameSergio
person.identifier.orcid0000-0002-6021-1761
person.identifier.scopus-author-id7003729485
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication.latestForDiscoverye0226ece-3767-4beb-ab80-868e8897c14a
relation.isProjectOfPublicationa7afaab0-4296-49f9-a803-cf5e950e5270
relation.isProjectOfPublication3ea5a88e-e7d6-47ec-a2ac-195197093a3c
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