Geochemical characterization of heavy metal contaminated area using multivariate factorial kriging

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatorQueiroz, Joaquim C. B.-
Autor(es): dc.creatorSturaro, Jose R.-
Autor(es): dc.creatorSaraiva, Augusto C. F.-
Autor(es): dc.creatorBarbosa Landim, Paulo M.-
Data: dc.date2013-09-30T18:51:09Z-
Data: dc.date2014-05-20T14:16:56Z-
Data: dc.date2013-09-30T18:51:09Z-
Data: dc.date2014-05-20T14:16:56Z-
Data: dc.date2008-07-01-
Data de aceite: dc.date.accessioned2014-11-17T16:34:54Z-
Data de disponibilização: dc.date.available2014-11-17T16:34:54Z-
Data de envio: dc.date.issued2014-11-17-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s00254-007-0968-3-
Fonte completa do material: dc.identifierEnvironmental Geology. New York: Springer, v. 55, n. 1, p. 95-105, 2008.-
Fonte completa do material: dc.identifier0943-0105-
Fonte completa do material: dc.identifierhttp://base.repositorio.unesp.br/handle/11449/25079-
Fonte completa do material: dc.identifier10.1007/s00254-007-0968-3-
Fonte completa do material: dc.identifierWOS:000256473900011-
Fonte: dc.identifier.urihttp://www.educapes.capes.gov.br/handle/capes/51679-
Fonte: dc.identifier.urihttp://www.educapes.capes.gov.br/handlecapes/51679-
Descrição: dc.descriptionThis 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.-
Formato: dc.format95-105-
Idioma: dc.languageeng-
Publicador: dc.publisherSpringer-
Relação: dc.relationEnvironmental Geology-
Direitos: dc.rightsclosedAccess-
Palavras-chave: dc.subjectheavy metal pollution-
Palavras-chave: dc.subjectAmapa State-
Palavras-chave: dc.subjectBrazil-
Palavras-chave: dc.subjectfactorial kriging-
Palavras-chave: dc.subjectmultivariate geostatistics-
Título: dc.titleGeochemical characterization of heavy metal contaminated area using multivariate factorial kriging-
Tipo de arquivo: dc.typeoutro-
Aparece nas coleções:Repositório Institucional - Unesp

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