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Optimal estuarine sediment monitoring network design with simulated annealing

datacite.subject.sdg14:Proteger a Vida Marinha
dc.contributor.authorNunes, L. M.
dc.contributor.authorCaeiro, Sandra
dc.contributor.authorCunha, M. C.
dc.contributor.authorRibeiro, L.
dc.date.accessioned2021-09-29T14:15:16Z
dc.date.available2021-09-29T14:15:16Z
dc.date.issued2006
dc.date.updated2021-09-20T09:58:32Z
dc.description.abstractAn objective function based on geostatistical variance reduction, constrained to the reproduction of the probability distribution functions of selected physical and chemical sediment variables, is applied to the selection of the best set of compliance monitoring stations in the Sado river estuary in Portugal. These stations were to be selected from a large set of sampling stations from a prior field campaign. Simulated annealing was chosen to solve the optimisation function model. Both the combinatorial problem structure and the resulting candidate sediment monitoring networks are discussed, and the optimal dimension and spatial distribution are proposed. An optimal network of sixty stations was obtained from an original 153-station sampling campaign.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1016/j.jenvman.2005.04.024pt_PT
dc.identifier.eid2-s2.0-31044437797
dc.identifier.issn0301-4797
dc.identifier.slugcv-prod-74581
dc.identifier.urihttp://hdl.handle.net/10400.2/11152
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.titleOptimal estuarine sediment monitoring network design with simulated annealingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage304pt_PT
oaire.citation.issue3pt_PT
oaire.citation.startPage294pt_PT
oaire.citation.titleJournal of Environmental Managementpt_PT
oaire.citation.volume78pt_PT
person.familyNameCaeiro
person.givenNameSandra
person.identifier587808
person.identifier.ciencia-id8515-398A-D241
person.identifier.orcid 0000-0002-6079-3554
person.identifier.ridK-3886-2014
person.identifier.scopus-author-id6603297853
rcaap.cv.cienciaid8515-398A-D241 | SANDRA SOFIA FERREIRA DA SILVA CAEIRO
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicatione2a8250a-8f09-4f11-a04e-1a3056644ff3
relation.isAuthorOfPublication.latestForDiscoverye2a8250a-8f09-4f11-a04e-1a3056644ff3

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