Filtros : "IAG-ACA" "2018" "Holanda" Limpar

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  • Source: Atmospheric Research. Unidade: IAG

    Subjects: INTERAÇÃO AR-MAR, CLIMATOLOGIA, REGIÃO METROPOLITANA

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    • ABNT

      RIBEIRO, Flávia Noronha Dutra et al. Effect of sea breeze propagation on the urban boundary layer of the metropolitan region of São Paulo, Brazil. Atmospheric Research, v. 214, p. 174-188, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.atmosres.2018.07.015. Acesso em: 15 nov. 2024.
    • APA

      Ribeiro, F. N. D., Oliveira, A. P. de, Soares, J. R., Miranda, R. M. de, Barlage, M., & Chen, F. (2018). Effect of sea breeze propagation on the urban boundary layer of the metropolitan region of São Paulo, Brazil. Atmospheric Research, 214, 174-188. doi:10.1016/j.atmosres.2018.07.015
    • NLM

      Ribeiro FND, Oliveira AP de, Soares JR, Miranda RM de, Barlage M, Chen F. Effect of sea breeze propagation on the urban boundary layer of the metropolitan region of São Paulo, Brazil [Internet]. Atmospheric Research. 2018 ; 214 174-188.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.atmosres.2018.07.015
    • Vancouver

      Ribeiro FND, Oliveira AP de, Soares JR, Miranda RM de, Barlage M, Chen F. Effect of sea breeze propagation on the urban boundary layer of the metropolitan region of São Paulo, Brazil [Internet]. Atmospheric Research. 2018 ; 214 174-188.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.atmosres.2018.07.015
  • Source: Boundary-Layer Meteorology. Unidade: IAG

    Subjects: HIDROMETEOROLOGIA, ILHA DE CALOR URBANO

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      ROJAS, José Luis Flores et al. Effects of explicit urban-canopy representation on local circulations above a tropical mega-city. Boundary-Layer Meteorology, v. 166, n. 1, p. 83-111, 2018Tradução . . Disponível em: https://doi.org/10.1007/s10546-017-0292-8. Acesso em: 15 nov. 2024.
    • APA

      Rojas, J. L. F., Pereira Filho, A. J., Karam, H. A., Vemado, F., & Masson, V. (2018). Effects of explicit urban-canopy representation on local circulations above a tropical mega-city. Boundary-Layer Meteorology, 166( 1), 83-111. doi:10.1007/s10546-017-0292-8
    • NLM

      Rojas JLF, Pereira Filho AJ, Karam HA, Vemado F, Masson V. Effects of explicit urban-canopy representation on local circulations above a tropical mega-city [Internet]. Boundary-Layer Meteorology. 2018 ; 166( 1): 83-111.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10546-017-0292-8
    • Vancouver

      Rojas JLF, Pereira Filho AJ, Karam HA, Vemado F, Masson V. Effects of explicit urban-canopy representation on local circulations above a tropical mega-city [Internet]. Boundary-Layer Meteorology. 2018 ; 166( 1): 83-111.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1007/s10546-017-0292-8
  • Source: Science of the Total Environment. Unidade: IAG

    Subjects: METEOROLOGIA AMBIENTAL, BIOMASSA, AEROSSOL, ATMOSFERA

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      EMYGDIO, Ana Paula Mendes et al. Biomarkers as indicators of fungal biomass in the atmosphere of São Paulo, Brazil. Science of the Total Environment, v. 612, p. 809-821, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2017.08.153. Acesso em: 15 nov. 2024.
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      Emygdio, A. P. M., Andrade, M. de F., Gonçalves, F. L. T., Engling, G., Zanetti, R. H. de S., & Kumar, P. (2018). Biomarkers as indicators of fungal biomass in the atmosphere of São Paulo, Brazil. Science of the Total Environment, 612, 809-821. doi:10.1016/j.scitotenv.2017.08.153
    • NLM

      Emygdio APM, Andrade M de F, Gonçalves FLT, Engling G, Zanetti RH de S, Kumar P. Biomarkers as indicators of fungal biomass in the atmosphere of São Paulo, Brazil. [Internet]. Science of the Total Environment. 2018 ; 612 809-821.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.scitotenv.2017.08.153
    • Vancouver

      Emygdio APM, Andrade M de F, Gonçalves FLT, Engling G, Zanetti RH de S, Kumar P. Biomarkers as indicators of fungal biomass in the atmosphere of São Paulo, Brazil. [Internet]. Science of the Total Environment. 2018 ; 612 809-821.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.scitotenv.2017.08.153
  • Source: Ocean Engineering. Unidade: IAG

    Subjects: POLUIÇÃO ATMOSFÉRICA, PETRÓLEO, INTEMPERISMO, OCEANO ATLÂNTICO

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      ZACHARIAS, Daniel Constantino e REZENDE, Karina Fernandes Oliveira e FORNARO, Adalgiza. Offshore petroleum pollution compared numerically via algorithm tests and computation solutions. Ocean Engineering, v. 151, p. 191-198, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.oceaneng.2018.01.007. Acesso em: 15 nov. 2024.
    • APA

      Zacharias, D. C., Rezende, K. F. O., & Fornaro, A. (2018). Offshore petroleum pollution compared numerically via algorithm tests and computation solutions. Ocean Engineering, 151, 191-198. doi:10.1016/j.oceaneng.2018.01.007
    • NLM

      Zacharias DC, Rezende KFO, Fornaro A. Offshore petroleum pollution compared numerically via algorithm tests and computation solutions [Internet]. Ocean Engineering. 2018 ; 151 191-198.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oceaneng.2018.01.007
    • Vancouver

      Zacharias DC, Rezende KFO, Fornaro A. Offshore petroleum pollution compared numerically via algorithm tests and computation solutions [Internet]. Ocean Engineering. 2018 ; 151 191-198.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.oceaneng.2018.01.007
  • Source: Atmospheric Environment. Unidade: IAG

    Subjects: OZÔNIO, QUALIDADE DO AR

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      GRAVIDIA-CALDERÓN, M et al. Impact of time-dependent chemical boundary conditions on tropospheric ozone simulation with WRF-Chem: an experiment over the Metropolitan Area of São Paulo. Atmospheric Environment, v. 195, p. 112-124, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.atmosenv.2018.09.026. Acesso em: 15 nov. 2024.
    • APA

      Gravidia-Calderón, M., Vara-Vela, A., Crespo, N. M., & Andrade, M. de F. (2018). Impact of time-dependent chemical boundary conditions on tropospheric ozone simulation with WRF-Chem: an experiment over the Metropolitan Area of São Paulo. Atmospheric Environment, 195, 112-124. doi:10.1016/j.atmosenv.2018.09.026
    • NLM

      Gravidia-Calderón M, Vara-Vela A, Crespo NM, Andrade M de F. Impact of time-dependent chemical boundary conditions on tropospheric ozone simulation with WRF-Chem: an experiment over the Metropolitan Area of São Paulo [Internet]. Atmospheric Environment. 2018 ; 195 112-124.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.atmosenv.2018.09.026
    • Vancouver

      Gravidia-Calderón M, Vara-Vela A, Crespo NM, Andrade M de F. Impact of time-dependent chemical boundary conditions on tropospheric ozone simulation with WRF-Chem: an experiment over the Metropolitan Area of São Paulo [Internet]. Atmospheric Environment. 2018 ; 195 112-124.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.atmosenv.2018.09.026
  • Source: Science of the Total Environment. Unidades: IGC, IAG

    Subjects: POLUIÇÃO ATMOSFÉRICA, POLUIÇÃO AMBIENTAL, ISÓTOPOS

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      SOUTO-OLIVEIRA, Carlos Eduardo et al. Multi-isotopic fingerprints (Pb, Zn, Cu) applied for urban aerosol source apportionment and discrimination. Science of the Total Environment, v. 626, n. , p. 1350-1366, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.scitotenv.2018.01.192. Acesso em: 15 nov. 2024.
    • APA

      Souto-Oliveira, C. E., Babinski, M., Araújo, D. F., & Andrade, M. de F. (2018). Multi-isotopic fingerprints (Pb, Zn, Cu) applied for urban aerosol source apportionment and discrimination. Science of the Total Environment, 626( ), 1350-1366. doi:10.1016/j.scitotenv.2018.01.192
    • NLM

      Souto-Oliveira CE, Babinski M, Araújo DF, Andrade M de F. Multi-isotopic fingerprints (Pb, Zn, Cu) applied for urban aerosol source apportionment and discrimination [Internet]. Science of the Total Environment. 2018 ; 626( ): 1350-1366.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.scitotenv.2018.01.192
    • Vancouver

      Souto-Oliveira CE, Babinski M, Araújo DF, Andrade M de F. Multi-isotopic fingerprints (Pb, Zn, Cu) applied for urban aerosol source apportionment and discrimination [Internet]. Science of the Total Environment. 2018 ; 626( ): 1350-1366.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.scitotenv.2018.01.192
  • Source: Journal of Cleaner Production. Unidades: EACH, IAG

    Subjects: COMPOSIÇÃO QUÍMICA, POLUIÇÃO ATMOSFÉRICA, ÁREAS METROPOLITANAS

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      MIRANDA, Regina Maura de et al. Source apportionment of fine particulate matter by positive matrix factorization in the metropolitan area of São Paulo, Brazil. Journal of Cleaner Production, v. No 2018, p. 253-263, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.jclepro.2018.08.100. Acesso em: 15 nov. 2024.
    • APA

      Miranda, R. M. de, Andrade, M. de F., Ribeiro, F. N. D., Francisco, K. J. M., & Martínez, P. J. P. (2018). Source apportionment of fine particulate matter by positive matrix factorization in the metropolitan area of São Paulo, Brazil. Journal of Cleaner Production, No 2018, 253-263. doi:10.1016/j.jclepro.2018.08.100
    • NLM

      Miranda RM de, Andrade M de F, Ribeiro FND, Francisco KJM, Martínez PJP. Source apportionment of fine particulate matter by positive matrix factorization in the metropolitan area of São Paulo, Brazil [Internet]. Journal of Cleaner Production. 2018 ; No 2018 253-263.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.jclepro.2018.08.100
    • Vancouver

      Miranda RM de, Andrade M de F, Ribeiro FND, Francisco KJM, Martínez PJP. Source apportionment of fine particulate matter by positive matrix factorization in the metropolitan area of São Paulo, Brazil [Internet]. Journal of Cleaner Production. 2018 ; No 2018 253-263.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.jclepro.2018.08.100
  • Source: Environmental Pollution. Unidade: IAG

    Subjects: POLUIÇÃO ATMOSFÉRICA, DOENÇAS RESPIRATÓRIAS, REDES NEURAIS, FATORES DE RISCO, SAÚDE AMBIENTAL

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      POLEZER, Gabriela et al. Assessing the impact of PM2.5 on respiratory disease using artificial neural networks. Environmental Pollution, v. 235, p. 394-403, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.envpol.2017.12.111. Acesso em: 15 nov. 2024.
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      Polezer, G., Tadano, Y. S., Siqueira, H. V., Godói, A. F. L., Yamamoto, C. I., Andre, P. A. de, et al. (2018). Assessing the impact of PM2.5 on respiratory disease using artificial neural networks. Environmental Pollution, 235, 394-403. doi:10.1016/j.envpol.2017.12.111
    • NLM

      Polezer G, Tadano YS, Siqueira HV, Godói AFL, Yamamoto CI, Andre PA de, Pauliquevis T, Andrade M de F, Oliveira A, Saldiva PHN, Taylor PE, Godoi RHM. Assessing the impact of PM2.5 on respiratory disease using artificial neural networks. [Internet]. Environmental Pollution. 2018 ; 235 394-403.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.envpol.2017.12.111
    • Vancouver

      Polezer G, Tadano YS, Siqueira HV, Godói AFL, Yamamoto CI, Andre PA de, Pauliquevis T, Andrade M de F, Oliveira A, Saldiva PHN, Taylor PE, Godoi RHM. Assessing the impact of PM2.5 on respiratory disease using artificial neural networks. [Internet]. Environmental Pollution. 2018 ; 235 394-403.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1016/j.envpol.2017.12.111

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