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Geostatistical Mapping of Outfall Plume Dispersion Data gathered with an autonomous underwater vehicle

dc.contributor.authorRamos, Patricia
dc.contributor.authorMonego, M.
dc.contributor.authorNeves, M. V.
dc.date.accessioned2012-07-30T11:24:02Z
dc.date.available2012-07-30T11:24:02Z
dc.date.issued2008
dc.description.abstractThe main purpose of this study was to examine the applicability of geostatistical modeling to obtain valuable information for assessing the environmental impact of sewage outfall discharges. The data set used was obtained in a monitoring campaign to S. Jacinto outfall, located off the Portuguese west coast near Aveiro region, using an AUV. The Matheron’s classical estimator was used the compute the experimental semivariogram which was fitted to three theoretical models: spherical, exponential and gaussian. The cross-validation procedure suggested the best semivariogram model and ordinary kriging was used to obtain the predictions of salinity at unknown locations. The generated map shows clearly the plume dispersion in the studied area, indicating that the effluent does not reach the near by beaches. Our study suggests that an optimal design for the AUV sampling trajectory from a geostatistical prediction point of view, can help to compute more precise predictions and hence to quantify more accurately dilution. Moreover, since accurate measurements of plume’s dilution are rare, these studies might be very helpful in the future for validation of dispersion models.por
dc.identifier.doi10.1007/978-90-481-2322-3_18
dc.identifier.urihttp://hdl.handle.net/10400.22/590
dc.language.isoengpor
dc.publisherInstituto Politécnico do Porto. Instituto Superior de Contabilidade e Administração do Portopor
dc.subjectOutfallspor
dc.subjectAutonomous underwater vehiclespor
dc.subjectPlumes dispersionpor
dc.subjectOrdinary krigingpor
dc.titleGeostatistical Mapping of Outfall Plume Dispersion Data gathered with an autonomous underwater vehiclepor
dc.typebook part
dspace.entity.typePublication
oaire.citation.conferencePlaceSouthamptonpor
person.familyNameRamos
person.givenNamePatricia
person.identifierR-000-E03
person.identifier.ciencia-id5E16-0270-BC7F
person.identifier.orcid0000-0002-0959-8446
person.identifier.ridB-2728-2017
person.identifier.scopus-author-id7103233146
rcaap.rightsopenAccesspor
rcaap.typebookPartpor
relation.isAuthorOfPublication774272fa-abef-4aca-8c70-7b874ccf79fa
relation.isAuthorOfPublication.latestForDiscovery774272fa-abef-4aca-8c70-7b874ccf79fa

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