Filtros : "IAG" "Mendonca, Carlos Alberto" "2020" Removidos: "PLANETAS" "Gregório-Hetem, Jane" "Lituânia" "Financiamento AKA" Limpar

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  • Source: Geophysics. Unidade: IAG

    Subjects: GEOMAGNETISMO, GRAVIMETRIA, MAGNETISMO, PROCESSOS DE POISSON

    Acesso à fonteDOIHow to cite
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    • ABNT

      MATOS, Caio Alencar de e MENDONCA, Carlos Alberto. Poisson magnetization-to-density-ratio and magnetization inclination properties of banded iron formations of the Carajás mineral province from processing airborne gravity and magnetic data. Geophysics, v. 85, n. 5, p. K1-K11, 2020Tradução . . Disponível em: https://doi.org/10.1190/geo2019-042.1. Acesso em: 02 jul. 2024.
    • APA

      Matos, C. A. de, & Mendonca, C. A. (2020). Poisson magnetization-to-density-ratio and magnetization inclination properties of banded iron formations of the Carajás mineral province from processing airborne gravity and magnetic data. Geophysics, 85( 5), K1-K11. doi:10.1190/geo2019-042.1
    • NLM

      Matos CA de, Mendonca CA. Poisson magnetization-to-density-ratio and magnetization inclination properties of banded iron formations of the Carajás mineral province from processing airborne gravity and magnetic data [Internet]. Geophysics. 2020 ; 85( 5): K1-K11.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1190/geo2019-042.1
    • Vancouver

      Matos CA de, Mendonca CA. Poisson magnetization-to-density-ratio and magnetization inclination properties of banded iron formations of the Carajás mineral province from processing airborne gravity and magnetic data [Internet]. Geophysics. 2020 ; 85( 5): K1-K11.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1190/geo2019-042.1
  • Source: Geophysics. Unidade: IAG

    Subjects: GRAVIDADE, DENSIDADE

    Acesso à fonteDOIHow to cite
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    • ABNT

      MENDONCA, Carlos Alberto. Subspace method for solving large-scale equivalent layer and density mapping problems. Geophysics, v. 85, n. 3, p. G57-G68, 2020Tradução . . Disponível em: https://doi.org/10.1190/geo2019-0302.1. Acesso em: 02 jul. 2024.
    • APA

      Mendonca, C. A. (2020). Subspace method for solving large-scale equivalent layer and density mapping problems. Geophysics, 85( 3), G57-G68. doi:10.1190/geo2019-0302.1
    • NLM

      Mendonca CA. Subspace method for solving large-scale equivalent layer and density mapping problems [Internet]. Geophysics. 2020 ; 85( 3): G57-G68.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1190/geo2019-0302.1
    • Vancouver

      Mendonca CA. Subspace method for solving large-scale equivalent layer and density mapping problems [Internet]. Geophysics. 2020 ; 85( 3): G57-G68.[citado 2024 jul. 02 ] Available from: https://doi.org/10.1190/geo2019-0302.1
  • Source: Journal of Hydrology. Unidade: IAG

    Subjects: HIDROGEOLOGIA, ENXAME DE DIQUES

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    • ABNT

      CAVALCANTE, F L et al. Well productivity in the Ponta Grossa dike Swarm, Brazil: An integrated study with magnetic data inversion and clustering analysis of model solutions. Journal of Hydrology, v. 588, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.jhydrol.2020.125079. Acesso em: 02 jul. 2024.
    • APA

      Cavalcante, F. L., Ofterdinger, U. S., Mendonca, C. A., & Oderson, A. S. F. (2020). Well productivity in the Ponta Grossa dike Swarm, Brazil: An integrated study with magnetic data inversion and clustering analysis of model solutions. Journal of Hydrology, 588. doi:10.1016/j.jhydrol.2020.125079
    • NLM

      Cavalcante FL, Ofterdinger US, Mendonca CA, Oderson ASF. Well productivity in the Ponta Grossa dike Swarm, Brazil: An integrated study with magnetic data inversion and clustering analysis of model solutions [Internet]. Journal of Hydrology. 2020 ; 588[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jhydrol.2020.125079
    • Vancouver

      Cavalcante FL, Ofterdinger US, Mendonca CA, Oderson ASF. Well productivity in the Ponta Grossa dike Swarm, Brazil: An integrated study with magnetic data inversion and clustering analysis of model solutions [Internet]. Journal of Hydrology. 2020 ; 588[citado 2024 jul. 02 ] Available from: https://doi.org/10.1016/j.jhydrol.2020.125079

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