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  • Source: Natural Resources Research. Unidade: IGC

    Subjects: MINERAÇÃO, SIMULAÇÃO, HEURÍSTICA

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    • ABNT

      RAMOS, Gustavo Zanco et al. Simulated Block Variance for 3D Drillhole Infill. Natural Resources Research, n. , p. -, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11053-022-10062-7. Acesso em: 28 maio 2024.
    • APA

      Ramos, G. Z., Rocha, M. M. da, Correia, A. E., & Takafuji, E. H. de M. (2022). Simulated Block Variance for 3D Drillhole Infill. Natural Resources Research, ( ), -. doi:10.1007/s11053-022-10062-7
    • NLM

      Ramos GZ, Rocha MM da, Correia AE, Takafuji EH de M. Simulated Block Variance for 3D Drillhole Infill [Internet]. Natural Resources Research. 2022 ;( ): -.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/s11053-022-10062-7
    • Vancouver

      Ramos GZ, Rocha MM da, Correia AE, Takafuji EH de M. Simulated Block Variance for 3D Drillhole Infill [Internet]. Natural Resources Research. 2022 ;( ): -.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/s11053-022-10062-7
  • Source: Natural Resources Research. Unidades: IGC, EP

    Assunto: MINERAÇÃO

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    • ABNT

      TICHAUER, Ricardo Marcelo e ABREU, Gustavo e DE TOMI, Giorgio Francesco Cesare. Method of comparable values: a new approach for efficient exploration target selection in small-scale mining. Natural Resources Research, v. 30, p. 2029-2046, 2021Tradução . . Disponível em: https://doi.org/10.1007/s11053-021-09855-z. Acesso em: 28 maio 2024.
    • APA

      Tichauer, R. M., Abreu, G., & De Tomi, G. F. C. (2021). Method of comparable values: a new approach for efficient exploration target selection in small-scale mining. Natural Resources Research, 30, 2029-2046. doi:10.1007/s11053-021-09855-z
    • NLM

      Tichauer RM, Abreu G, De Tomi GFC. Method of comparable values: a new approach for efficient exploration target selection in small-scale mining [Internet]. Natural Resources Research. 2021 ;30 2029-2046.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/s11053-021-09855-z
    • Vancouver

      Tichauer RM, Abreu G, De Tomi GFC. Method of comparable values: a new approach for efficient exploration target selection in small-scale mining [Internet]. Natural Resources Research. 2021 ;30 2029-2046.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/s11053-021-09855-z
  • Source: Natural Resources Research. Unidade: EP

    Subjects: MINERAÇÃO, ECOSSISTEMAS

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      OMOTEHINSE, Adeyinka Oluwayomi e DE TOMI, Giorgio Francesco Cesare e BANINLA, Yvette. Proactive management of ecosystem services in oil sands pre-mining phase. Natural Resources Research, v. 29, p. 949-965, 2020Tradução . . Disponível em: https://doi.org/10.1007/S11053-019-09505-5. Acesso em: 28 maio 2024.
    • APA

      Omotehinse, A. O., De Tomi, G. F. C., & Baninla, Y. (2020). Proactive management of ecosystem services in oil sands pre-mining phase. Natural Resources Research, 29, 949-965. doi:10.1007/S11053-019-09505-5
    • NLM

      Omotehinse AO, De Tomi GFC, Baninla Y. Proactive management of ecosystem services in oil sands pre-mining phase [Internet]. Natural Resources Research. 2020 ;29 949-965.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/S11053-019-09505-5
    • Vancouver

      Omotehinse AO, De Tomi GFC, Baninla Y. Proactive management of ecosystem services in oil sands pre-mining phase [Internet]. Natural Resources Research. 2020 ;29 949-965.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/S11053-019-09505-5
  • Source: Natural Resources Research. Unidade: IGC

    Subjects: GEOESTATÍSTICA, ANÁLISE DE SÉRIES TEMPORAIS, GESTÃO DAS ÁGUAS SUBTERRÂNEAS

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      TAKAFUJI, Eduardo Henrique de Moraes e ROCHA, Marcelo Monteiro da e MANZIONE, Rodrigo Lilla. Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil). Natural Resources Research, v. 28, n. 2, p. 487-503, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11053-018-9403-6. Acesso em: 28 maio 2024.
    • APA

      Takafuji, E. H. de M., Rocha, M. M. da, & Manzione, R. L. (2019). Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil). Natural Resources Research, 28( 2), 487-503. doi:10.1007/s11053-018-9403-6
    • NLM

      Takafuji EH de M, Rocha MM da, Manzione RL. Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil) [Internet]. Natural Resources Research. 2019 ; 28( 2): 487-503.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/s11053-018-9403-6
    • Vancouver

      Takafuji EH de M, Rocha MM da, Manzione RL. Groundwater Level Prediction/Forecasting and Assessment of Uncertainty Using SGS and ARIMA Models: A Case Study in the Bauru Aquifer System (Brazil) [Internet]. Natural Resources Research. 2019 ; 28( 2): 487-503.[citado 2024 maio 28 ] Available from: https://doi.org/10.1007/s11053-018-9403-6
  • Source: Natural Resources Research. Unidade: IGC

    Subjects: GEOLOGIA, PESQUISA MINERAL

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      ARAÚJO, Carlos César de e MACEDO, Arlei Benedito. Multicriteria Geologic Data Analysis for Mineral Favorability Mapping: Application to a Metal Sulphide Mineralized Area, Ribeira Valley Metallogenic Province, Brazil. Natural Resources Research, v. 11, n. 1, p. 29-43, 2002Tradução . . Disponível em: https://doi.org/10.1023/A:1014235703541. Acesso em: 28 maio 2024.
    • APA

      Araújo, C. C. de, & Macedo, A. B. (2002). Multicriteria Geologic Data Analysis for Mineral Favorability Mapping: Application to a Metal Sulphide Mineralized Area, Ribeira Valley Metallogenic Province, Brazil. Natural Resources Research, 11( 1), 29-43. doi:10.1023/A:1014235703541
    • NLM

      Araújo CC de, Macedo AB. Multicriteria Geologic Data Analysis for Mineral Favorability Mapping: Application to a Metal Sulphide Mineralized Area, Ribeira Valley Metallogenic Province, Brazil [Internet]. Natural Resources Research. 2002 ; 11( 1): 29-43.[citado 2024 maio 28 ] Available from: https://doi.org/10.1023/A:1014235703541
    • Vancouver

      Araújo CC de, Macedo AB. Multicriteria Geologic Data Analysis for Mineral Favorability Mapping: Application to a Metal Sulphide Mineralized Area, Ribeira Valley Metallogenic Province, Brazil [Internet]. Natural Resources Research. 2002 ; 11( 1): 29-43.[citado 2024 maio 28 ] Available from: https://doi.org/10.1023/A:1014235703541
  • Source: Natural Resources Research. Unidade: IGC

    Assunto: PESQUISA MINERAL

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    • ABNT

      ROCHA, Marcelo Monteiro da e YAMAMOTO, Jorge Kazuo. Comparision between kriging variance and interpolation variance as uncertainty measurements in the Capanema iron mine, state of Minas Gerais-Brazil. Natural Resources Research, v. 9, n. 3, p. 223-235, 2000Tradução . . Disponível em: https://doi.org/10.1023/A:1010195701968. Acesso em: 28 maio 2024.
    • APA

      Rocha, M. M. da, & Yamamoto, J. K. (2000). Comparision between kriging variance and interpolation variance as uncertainty measurements in the Capanema iron mine, state of Minas Gerais-Brazil. Natural Resources Research, 9( 3), 223-235. doi:10.1023/A:1010195701968
    • NLM

      Rocha MM da, Yamamoto JK. Comparision between kriging variance and interpolation variance as uncertainty measurements in the Capanema iron mine, state of Minas Gerais-Brazil [Internet]. Natural Resources Research. 2000 ; 9( 3): 223-235.[citado 2024 maio 28 ] Available from: https://doi.org/10.1023/A:1010195701968
    • Vancouver

      Rocha MM da, Yamamoto JK. Comparision between kriging variance and interpolation variance as uncertainty measurements in the Capanema iron mine, state of Minas Gerais-Brazil [Internet]. Natural Resources Research. 2000 ; 9( 3): 223-235.[citado 2024 maio 28 ] Available from: https://doi.org/10.1023/A:1010195701968
  • Source: Natural Resources Research. Unidade: IGC

    Assunto: GEOMATEMÁTICA

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      YAMAMOTO, Jorge Kazuo. Quantification of uncertainty in ore-reserve estimation: applications to Chapada copper deposit, state of Goiás, Brazil. Natural Resources Research, v. 8, n. 2, p. 153-163, 1999Tradução . . Disponível em: https://doi.org/10.1023/A:1021894703729. Acesso em: 28 maio 2024.
    • APA

      Yamamoto, J. K. (1999). Quantification of uncertainty in ore-reserve estimation: applications to Chapada copper deposit, state of Goiás, Brazil. Natural Resources Research, 8( 2), 153-163. doi:10.1023/A:1021894703729
    • NLM

      Yamamoto JK. Quantification of uncertainty in ore-reserve estimation: applications to Chapada copper deposit, state of Goiás, Brazil [Internet]. Natural Resources Research. 1999 ; 8( 2): 153-163.[citado 2024 maio 28 ] Available from: https://doi.org/10.1023/A:1021894703729
    • Vancouver

      Yamamoto JK. Quantification of uncertainty in ore-reserve estimation: applications to Chapada copper deposit, state of Goiás, Brazil [Internet]. Natural Resources Research. 1999 ; 8( 2): 153-163.[citado 2024 maio 28 ] Available from: https://doi.org/10.1023/A:1021894703729

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