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dc.contributor.authorQueiroz, Joaquim C. B.
dc.contributor.authorSturaro, Jose R. [UNESP]
dc.contributor.authorSaraiva, Augusto C. F.
dc.contributor.authorBarbosa Landim, Paulo M. [UNESP]
dc.date.accessioned2013-09-30T18:51:09Z
dc.date.accessioned2014-05-20T14:16:56Z
dc.date.available2013-09-30T18:51:09Z
dc.date.available2014-05-20T14:16:56Z
dc.date.issued2008-07-01
dc.identifierhttp://dx.doi.org/10.1007/s00254-007-0968-3
dc.identifier.citationEnvironmental Geology. New York: Springer, v. 55, n. 1, p. 95-105, 2008.
dc.identifier.issn0943-0105
dc.identifier.urihttp://hdl.handle.net/11449/25079
dc.description.abstractThis paper describes a geostatistical method, known as factorial kriging analysis, which is well suited for analyzing multivariate spatial information. The method involves multivariate variogram modeling, principal component analysis, and cokriging. It uses several separate correlation structures, each corresponding to a specific spatial scale, and yields a set of regionalized factors summarizing the main features of the data for each spatial scale. This method is applied to an area of high manganese-ore mining activity in Amapa State, North Brazil. Two scales of spatial variation (0.33 and 2.0 km) are identified and interpreted. The results indicate that, for the short-range structure, manganese, arsenic, iron, and cadmium are associated with human activities due to the mining work, while for the long-range structure, the high aluminum, selenium, copper, and lead concentrations, seem to be related to the natural environment. At each scale, the correlation structure is analyzed, and regionalized factors are estimated by cokriging and then mapped.en
dc.format.extent95-105
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofEnvironmental Geology
dc.sourceWeb of Science
dc.subjectheavy metal pollutionen
dc.subjectAmapa Stateen
dc.subjectBrazilen
dc.subjectfactorial krigingen
dc.subjectmultivariate geostatisticsen
dc.titleGeochemical characterization of heavy metal contaminated area using multivariate factorial krigingen
dc.typeArtigo
dcterms.licensehttp://www.springer.com/open+access/authors+rights?SGWID=0-176704-12-683201-0
dcterms.rightsHolderSpringer
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionFed Univ Para
dc.contributor.institutionCent Lab Eletronorte
dc.description.affiliationSão Paulo State Univ Rio Claro, Dept Appl Geol, São Paulo, Brazil
dc.description.affiliationFed Univ Para, Dept Stat, BR-66059 Belem, Para, Brazil
dc.description.affiliationCent Lab Eletronorte, Belem, Para, Brazil
dc.description.affiliationUnespSão Paulo State Univ Rio Claro, Dept Appl Geol, São Paulo, Brazil
dc.identifier.doi10.1007/s00254-007-0968-3
dc.identifier.wosWOS:000256473900011
dc.rights.accessRightsAcesso restrito
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Geociências e Ciências Exatas, Rio Claropt
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