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Artigo de periodico
Adsorption and sequential extraction of copper in technosols prepared from unconsolidated mining wastes rich in limestone, bentonite, and organic matter (2023)
Perlatti, Fabio; Ruiz, Francisco; Otero, Xosé Luis ; Ferreira, Tiago Osório
Source: Mining. Unidade: ESALQ
Subjects: ADSORÇÃO, ARGILAS, BENTONITA, CALCÁRIO, COBRE, CONTAMINAÇÃO DO SOLO, MATÉRIA ORGÂNICA DO SOLO, REJEITOS DE MINERAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PERLATTI, Fabio et al. Adsorption and sequential extraction of copper in technosols prepared from unconsolidated mining wastes rich in limestone, bentonite, and organic matter. Mining, v. 3, p. 151-162, 2023Tradução . . Disponível em: https://doi.org/10.3390/mining3010009. Acesso em: 19 maio 2024.
APA
Perlatti, F., Ruiz, F., Otero, X. L., & Ferreira, T. O. (2023). Adsorption and sequential extraction of copper in technosols prepared from unconsolidated mining wastes rich in limestone, bentonite, and organic matter. Mining, 3, 151-162. doi:10.3390/mining3010009
NLM
Perlatti F, Ruiz F, Otero XL, Ferreira TO. Adsorption and sequential extraction of copper in technosols prepared from unconsolidated mining wastes rich in limestone, bentonite, and organic matter [Internet]. Mining. 2023 ; 3 151-162.[citado 2024 maio 19 ] Available from: https://doi.org/10.3390/mining3010009
Vancouver
Perlatti F, Ruiz F, Otero XL, Ferreira TO. Adsorption and sequential extraction of copper in technosols prepared from unconsolidated mining wastes rich in limestone, bentonite, and organic matter [Internet]. Mining. 2023 ; 3 151-162.[citado 2024 maio 19 ] Available from: https://doi.org/10.3390/mining3010009
Artigo de periodico
Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy (2023)
Costa, Fabrizzio Rodrigues ; Carneiro, Cleyton de Carvalho ; Ulsen, Carina
Source: Mining. Unidade: EP
Subjects: MINERALOGIA, CARACTERIZAÇÃO TECNOLÓGICA DE MINÉRIOS, OURO, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA, Fabrizzio Rodrigues e CARNEIRO, Cleyton de Carvalho e ULSEN, Carina. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy. Mining, v. 3, n. 2, p. 230-240, 2023Tradução . . Disponível em: https://doi.org/10.3390/mining3020014. Acesso em: 19 maio 2024.
APA
Costa, F. R., Carneiro, C. de C., & Ulsen, C. (2023). Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy. Mining, 3( 2), 230-240. doi:10.3390/mining3020014
NLM
Costa FR, Carneiro C de C, Ulsen C. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy [Internet]. Mining. 2023 ; 3( 2): 230-240.[citado 2024 maio 19 ] Available from: https://doi.org/10.3390/mining3020014
Vancouver
Costa FR, Carneiro C de C, Ulsen C. Self-organizing maps analysis of chemical-mineralogical gold ore characterization in support of geometallurgy [Internet]. Mining. 2023 ; 3( 2): 230-240.[citado 2024 maio 19 ] Available from: https://doi.org/10.3390/mining3020014
Artigo de periodico
Application of volume uncertainty for resource classification: a case study on the Rondon do Pará bauxite deposit, Brazil (2022)
De Oliveira, Saulo Batista ; Boisvert, Jeff B.; Deutsch, Clayton V
Source: Mining. Unidade: IEE
Subjects: DEPÓSITOS MINERAIS, BAUXITA, PESQUISA MINERAL, SIMULAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DE OLIVEIRA, Saulo Batista e BOISVERT, Jeff B. e DEUTSCH, Clayton V. Application of volume uncertainty for resource classification: a case study on the Rondon do Pará bauxite deposit, Brazil. Mining, v. 2, n. 4, p. 670-682, 2022Tradução . . Disponível em: https://doi.org/10.3390/mining2040036. Acesso em: 19 maio 2024.
APA
De Oliveira, S. B., Boisvert, J. B., & Deutsch, C. V. (2022). Application of volume uncertainty for resource classification: a case study on the Rondon do Pará bauxite deposit, Brazil. Mining, 2( 4), 670-682. doi:10.3390/mining2040036
NLM
De Oliveira SB, Boisvert JB, Deutsch CV. Application of volume uncertainty for resource classification: a case study on the Rondon do Pará bauxite deposit, Brazil [Internet]. Mining. 2022 ; 2( 4): 670-682.[citado 2024 maio 19 ] Available from: https://doi.org/10.3390/mining2040036
Vancouver
De Oliveira SB, Boisvert JB, Deutsch CV. Application of volume uncertainty for resource classification: a case study on the Rondon do Pará bauxite deposit, Brazil [Internet]. Mining. 2022 ; 2( 4): 670-682.[citado 2024 maio 19 ] Available from: https://doi.org/10.3390/mining2040036

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