Repository logo
 
Publication

Acoustic field calibration for noise prediction: the CALCOM'10 data set

dc.contributor.authorMartins, N.
dc.contributor.authorFelisberto, P.
dc.contributor.authorJesus, S. M.
dc.date.accessioned2012-09-14T16:06:55Z
dc.date.available2012-09-14T16:06:55Z
dc.date.issued2011-06
dc.description.abstractWave energy is one of the marine renewable energies that are becoming increasingly explored. One of the concerns about the respective ocean plants is the noise generated by the mechanical energy converters. This noise may affect the fauna surrounding the energy plant, what induces the idea of planning the location of a prospective plant, optimum in terms of noise minimization. Naturally, in such an approach, the plant noise can be predicted, using information concerning the ocean geometric, water column and bottom properties, if available. This information can be fed to an acoustic propagation code, to solve an acoustic forward problem. Inevitably, this knowledge is often incomplete, and the use of guesses or inferences from nautical charts can lead to erroneous noise predictions. This paper presents a noise prediction tool which can be divided into two steps. The first step consists of characterizing the candidate ocean area, in terms of the environmental properties relevant to acoustic propagation. In the second step, the environmental characteristics are fed to a computational acoustic propagation model, which provides estimates of the plant-noise generated in the candidate area. The first step uses at-sea measured acoustic data, during the CALCOM’10 sea trial (in Portugal), to solve an acoustic inverse problem, which gives environmental estimates. This procedure can be seen as a “field model calibration”, in that the estimated environmental properties are tailored to model the acoustic data. The second step uses the estimates in a forward modeling problem, with the same propagation code. In numerical terms, differences greater than 4.4 dB in the median of the modeled transmission loss difference have been observed, upto 1.6 km from the acoustic source. The results show that the field calibration is important to better model the data at hand, and thus act as a noise prediction tool, as compared to a procedure in which only a partial a priori knowledge of the candidate oceanic area is available. The results are promising, in terms of the application of the present method in the project of ocean power plants.por
dc.identifier.doihttp://dx.doi.org/10.1109/Oceans-Spain.2011.6003539
dc.identifier.otherAUT: PFE00638;SJE00662;
dc.identifier.urihttp://hdl.handle.net/10400.1/1634
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.titleAcoustic field calibration for noise prediction: the CALCOM'10 data setpor
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/PTDC%2FENR%2F70452%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F9032%2F2002/PT
oaire.citation.conferencePlaceSantander (Spain)por
oaire.citation.titleIEEE OCEANS Conference OCEANS'11por
oaire.fundingStream5876-PPCDTI
oaire.fundingStreamSFRH
person.familyNameFelisberto
person.familyNameJesus
person.givenNamePaulo
person.givenNameSergio
person.identifier79549
person.identifier.ciencia-idD411-CBA8-85B8
person.identifier.orcid0000-0001-7542-4332
person.identifier.orcid0000-0002-6021-1761
person.identifier.ridM-9474-2013
person.identifier.scopus-author-id6508039890
person.identifier.scopus-author-id7003729485
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
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication6574c278-a803-4dbe-9140-4cd8272027db
relation.isAuthorOfPublicatione0226ece-3767-4beb-ab80-868e8897c14a
relation.isAuthorOfPublication.latestForDiscoverye0226ece-3767-4beb-ab80-868e8897c14a
relation.isProjectOfPublication0193e7ec-1621-4e6b-b227-5c6f1b1c7c83
relation.isProjectOfPublicationa9b5a393-f61e-4a1b-8dd7-2ec0e1d9a95f
relation.isProjectOfPublication.latestForDiscovery0193e7ec-1621-4e6b-b227-5c6f1b1c7c83

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
nmartins1.11.pdf
Size:
382.39 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: