Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota.
| Autor(a) principal: | |
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| Data de Publicação: | 2021 |
| Tipo de documento: | Dissertação |
| Idioma: | por |
| Título da fonte: | Repositório Institucional da UFBA |
| Texto Completo: | https://repositorio.ufba.br/handle/ri/38050 |
Resumo: | Os derramamentos de óleo correspondem a uma das mais impactantes fontes de poluição marinha. A liberação de óleo na superfície do oceano pode gerar potenciais impactos ambientais. Devido a estes impactos causados pela indústria de exploração de petróleo, conhecer seu comportamento no ambiente marinho através de estudos de prevenção, controle e mitigação de derramamentos de óleo se fazem necessários. Muitos estudos já fazem utilização de modelos e códigos computacionais que têm se mostrado uma importante ferramenta, de baixo custo computacional, para o gerenciamento de riscos. O presente trabalho tem por objetivo analisar os dados de saída do modelo de dispersão de óleo no software MEDSLICKII, através do estudo de caso de um derramamento de óleo na região da Bacia de Cumuruxatiba. Este modelo calcula a partir de dados de um modelo regional oceânico o transporte e intemperismo do óleo, utilizando uma representação Lagrangiana da mancha. Além disto, propomos observar o impacto do óleo na biota através do código computacional Monte Carlo (MCNP), que estima o transporte de radiação ionizante do óleo para biota no meio oceânico. Nossos resultados mostraram que a CB, com sua aceleração associada aos meses de verão, pode funcionar como uma barreira física contra o transporte zonal de óleo, e outro ponto importante é que o transporte característico das correntes de contorno oeste, pode funcionar como um forte agente espalhador de elementos associados ao óleo ao longo da costa brasileira. Além disso, a série Th-232 se destacou por apresentar contribuição significativa para a dose. Porém, uma ação corretiva capaz de remover o Tl-208 diminuiria significativamente os efeitos da radiação nas populações expostas prontamente, uma vez que esse radionuclídeo se destaca como aquele que entrega mais percentual de dose. Esse estudo é uma primeira aproximação em termos de taxa de dose na biota devido a um derramamento de óleo. Assim, com base nestas informações geradas pelos modelos se almeja criar uma metodologia de aplicação para futuros estudos de derramamentos de óleo e seu impacto nas áreas costeiras do litoral brasileiro. |
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2023-10-17T10:32:26Z2023-10-17T10:32:26Z2021-11-29PROTASIO, Laianne dos Santos. Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. 2021. 56 f. Dissertação (Mestrado em Geoquímica do Petróleo e Ambiental) - Instituto de Geociências, Universidade Federal da Bahia, Salvador (Bahia), 2021.https://repositorio.ufba.br/handle/ri/38050Os derramamentos de óleo correspondem a uma das mais impactantes fontes de poluição marinha. A liberação de óleo na superfície do oceano pode gerar potenciais impactos ambientais. Devido a estes impactos causados pela indústria de exploração de petróleo, conhecer seu comportamento no ambiente marinho através de estudos de prevenção, controle e mitigação de derramamentos de óleo se fazem necessários. Muitos estudos já fazem utilização de modelos e códigos computacionais que têm se mostrado uma importante ferramenta, de baixo custo computacional, para o gerenciamento de riscos. O presente trabalho tem por objetivo analisar os dados de saída do modelo de dispersão de óleo no software MEDSLICKII, através do estudo de caso de um derramamento de óleo na região da Bacia de Cumuruxatiba. Este modelo calcula a partir de dados de um modelo regional oceânico o transporte e intemperismo do óleo, utilizando uma representação Lagrangiana da mancha. Além disto, propomos observar o impacto do óleo na biota através do código computacional Monte Carlo (MCNP), que estima o transporte de radiação ionizante do óleo para biota no meio oceânico. Nossos resultados mostraram que a CB, com sua aceleração associada aos meses de verão, pode funcionar como uma barreira física contra o transporte zonal de óleo, e outro ponto importante é que o transporte característico das correntes de contorno oeste, pode funcionar como um forte agente espalhador de elementos associados ao óleo ao longo da costa brasileira. Além disso, a série Th-232 se destacou por apresentar contribuição significativa para a dose. Porém, uma ação corretiva capaz de remover o Tl-208 diminuiria significativamente os efeitos da radiação nas populações expostas prontamente, uma vez que esse radionuclídeo se destaca como aquele que entrega mais percentual de dose. Esse estudo é uma primeira aproximação em termos de taxa de dose na biota devido a um derramamento de óleo. Assim, com base nestas informações geradas pelos modelos se almeja criar uma metodologia de aplicação para futuros estudos de derramamentos de óleo e seu impacto nas áreas costeiras do litoral brasileiro.Oil spills are one of the most impactful sources of marine pollution. The release of oil on the ocean surface can have potential environmental impacts. Due to these impacts caused by the oil exploration industry, knowing its behavior in the marine environment through studies of prevention, control and mitigation of oil spills is necessary. Many studies already make use of computational models and codes that have proved to be an important tool, with low computational cost, for risk management. The present work aims to analyze the output data of the oil dispersion model in the MEDSLICK-II software, through the case study of an oil spill in the Cumuruxatiba Basin region. This model calculates the transport and weathering of oil from data from a regional oceanic model, using a Lagrangian representation of the slick. Furthermore, we propose to observe the impact of oil on biota through the Monte Carlo computational code (MCNP), which estimates the transport of ionizing radiation from oil to biota in the oceanic environment. Our results showed that BC, with its acceleration associated with the summer months, can act as a physical barrier against zonal oil transport, and another important point is that the characteristic transport of western boundary currents can act as a strong agent spreader of elements associated with oil along the Brazilian coast. Furthermore, the Th-232 series stood out for presenting a significant contribution to the dose. However, a corrective action capable of removing Tl-208 would significantly reduce the effects of radiation on readily exposed populations, since this radionuclide stands out as the one that delivers the highest percentage of dose. This study is a first approximation in terms of the dose rate in the biota due to an oil spill. Thus, based on this information generated by the models, the aim is to create an application methodology for future studies of oil spills and their impact on coastal areas of the Brazilian coast.Submitted by Mayra Costa (mayra.costa@ufba.br) on 2023-10-11T13:09:41Z No. of bitstreams: 2 license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) Dissertacao-Laianne_Protasio_final.pdf: 1783062 bytes, checksum: 3a5a0a96ce72f96623cc43054c2db81f (MD5)Approved for entry into archive by Cátia Silva dos Santos (catia.santos@ufba.br) on 2023-10-17T10:32:26Z (GMT) No. of bitstreams: 2 Dissertacao-Laianne_Protasio_final.pdf: 1783062 bytes, checksum: 3a5a0a96ce72f96623cc43054c2db81f (MD5) license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5)Made available in DSpace on 2023-10-17T10:32:26Z (GMT). No. of bitstreams: 2 Dissertacao-Laianne_Protasio_final.pdf: 1783062 bytes, checksum: 3a5a0a96ce72f96623cc43054c2db81f (MD5) license_rdf: 701 bytes, checksum: 42fd4ad1e89814f5e4a476b409eb708c (MD5) Previous issue date: 2021-11-29FUNDACAO DE AMPARO A PESQUISA DO ESTADO DA BAHIAporUniversidade Federal da BahiaPrograma de Pós-Graduação em Geoquímica: Petróleo e Meio Ambiente (POSPETRO) UFBABrasilInstituto de GeociênciasCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccessOil spilDispersion ModelingRadiosensingOil weatheringMarine pollutionMEDSLICKCNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOLOGIA::GEOQUIMICADerramamento de óleoModelagem de DispersãoRadiodetecçãoIntemperismo do óleoPoluição marinhaMEDSLICKProposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota.Methodological proposal using computer simulation to assess the dynamics of an oil spill and the dose to the biota.Mestrado Acadêmicoinfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/publishedVersionMendonça, Luis Felipe Ferreira dehttps://orcid.org/0000-0001-7836-200Xhttp://lattes.cnpq.br/0858411444864247Lentini, Carlos Alessandre Domingoshttps://orcid.org/0000-0003-0406-1006http://lattes.cnpq.br/5969005066506687Mendonça, Luís Felipe Ferreira dehttps://orcid.org/0000-0001-7836-200Xhttp://lattes.cnpq.br/0858411444864247Lentini, Carlos Alessandre Domingoshttps://orcid.org/0000-0003-0406-1006http://lattes.cnpq.br/5969005066506687Lopes, José Marqueshttps://orcid.org/0000-0001-7819-6646http://lattes.cnpq.br/4361840482376714Freitas, Rose Ane Pereira dehttps://orcid.org/0000-0003-0186-3484http://lattes.cnpq.br/2098305176727416https://orcid.org/0000-0001-7080-3595http://lattes.cnpq.br/2179922186158524Protasio, Laianne dos SantosABO-ELMAGD, M. et al. 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Brazilian Journal of Radiation Sciences, v. 8, n. 1B, 2020. DOI: https://doi.org/10.15392/bjrs.v8i1B.1079 PETERSON, C. H. The “Exxon Valdez” oil spill in Alaska: acute, indirect and chronic effects on the ecosystem. Advances in Marine Biology, v. 39, p. 1-103, 2001. DOI: https://doi.org/10.1016/S0065-2881(01)39008-9 52 PETERSON, C. H. et al. Sampling design begets conclusions: the statistical basis for detection of injury to and recovery of shoreline communities after the Exxon Valdez¹ oil spill. Marine Ecology Progress Series, v. 210, p. 255-283, 2001. DOI: doi:10.3354/meps210255 PETERSON, C. H. et al. Long-term ecosystem response to the Exxon Valdez oil spill. Science, v. 302, n. 5653, p. 2082-2086, 2003. DOI: 10.1126/science.1084282 PHILP, R. P. Composition and Properties of Petroleum. Hydrocarbons, Oils and Lipids: Diversity, Origin, Chemistry and Fate, Handbook of Hydrocarbon and Lipid Microbiology. Springer, Cham. 2020. DOI: https://doi.org/10.1007/978-3-319-90569-3_13 p. 269-310 QUEIROZ, S. et al. Simulation of oil spills near a tropical island in the equatorial southwest atlantic. Tropical Oceanography, Recife, v. 47, n. 1, p. 17-37, 2019. RADEMAEKERS, K. et al. Deep-seabed exploitation: Tackling economic, environmental and societal challenges. Brussels (BE), 2015. RESGALLA JR, C.; DE LA ROCHA, C.; MONTÚ, M. The influence of Ekman transport on zooplankton biomass variability off southern Brazil. Journal of plankton research, v. 23, n. 6, p. 641-650, 2001. RIBOTTI, A. et al. An operational marine oil spill forecasting tool for the management of emergencies in the italian seas. Journal of Marine Science and Engineering, v. 7, n. 1, p. 1, 2019. ROBLES, B. et al. Modelos implementados en el código CROM. CIEMAT, Madrid, 2007. ROWLAND, R. E. et al. Current status of the study of 226Ra and 228Ra in humans at the Center for Human Radiobiology. Health physics, v. 35, n. 1, p. 159-166, 1978. RODRIGUES, R. R.; ROTHSTEIN, L. M.; WIMBUSH, M. Seasonal Variability of the South Equatorial Current Bifurcation in the Atlantic Ocean: A Numerical Study. Journal of Physical Oceanography, v. 37, n.1, p. 16–30, 2006. SAHA, S. et al. The NCEP Climate Forecast System Version 2. Journal of Climate, v. 27, n. 6, p. 2185–2208, 2014. SALGADO, C.M. et al. Validation of a NaI(Tl) detector's model developed with MCNP-X code. Progress in Nuclear Energy (New Series), v. 59, p. 19-25, 2012. SANTOS, A. Á. B. et al. Atlas eólico Bahia. Salvador: SECTI - SEINFRA – CIMATEC – SENAI, 2013. 96p. SCHMIDT, A. C. K. et al. Modelo paramétrico analítico para a estrutura de velocidade do sistema corrente do Brasil. Revista Brasileira de Geofísica, v. 25, n.1, p. 75-91, 2007. SHCHEPETKIN, A. F.; MCWILLIAMS, J. C. The regional oceanic modeling system (ROMS): a split-explicit, free-surface, topography-following-coordinate oceanic model. 53 Ocean modelling, v. 9, n. 4, p. 347-404, 2005. 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Applied Radiation and Isotopes, v. 165, p. 109326, 2020. DOI: https://doi.org/10.1016/j.apradiso.2020.109326 SILVA, M. et al. High resolution regional ocean dynamics simulation in the southwestern tropical Atlantic. Ocean Modelling, v. 30, n. 4, p. 256–269, 2009. DOI: https://doi.org/10.1016/j.ocemod.2009.07.002 SILVEIRA, I. C. A. et al. A Corrente do Brasil ao Largo da Costa Leste Brasileira, Brazil. Journal of Oceanography, v. 48, n. 2, p. 171-183, 2000. SOUZA, E. S.; TRIGUIS, J. A. Degradação do petróleo em derrames no mat— intemperismo e biorremediacão. In: 3◦ Congresso Brasileiro de P&D em Petroleo e Gas, 2006, Salvador. Anais [...]. 2006. SOBEY, R. J.; BARKER, C. H. Wave-driven transport of surface oil. Journal of Coastal Research, v. 13, n.2, p. 490-496, 1997. SOUTELINO, R. G. A origem da Corrente do Brasil. Dissertação (Mestrado em Ciências, área de Oceanografia Física) Instituto Oceanográfico, Universidade de São Paulo IO/USP, São Paulo, 2008. SOUTELINO, R. G. et al. Is the Brazil Current eddy-dominated to the north of 20°S? Geophysical Research Letters, v. 38, n. 3, p. L03607, 2011. DOI: https://doi.org/10.1029/2010GL046276 STRAMMA, L.; IKEDA, Y.; PETERSON, R. G. Geostrophic Transport in the Brazil Current Region North of 20°S. Deep-Sea Research, v. 37, n.12, p. 1875–1886, 1990. DOI: https://doi.org/10.1016/0198-0149(90)90083-8 STRAMMA, L.; ENGLAND, M. On the water masses and mean circulation of the South Atlantic Ocean. Journal of Geophysical Research, v. 104, n. C9, p. 20863–20883, 1999. DOI: https://doi.org/10.1029/1999JC900139 54 STRINGARI, C. E. et al. Modeling an oil spill along the Southern Brazilian Shelf: Forcing characterization and its influence on the oil fate. International Journal of Geosciences, v. 4, n. 2, p. 397-407, 2013. DOI: 10.4236/ijg.2013.42038. TCHAMABI, C. C. et al. A study of the Brazilian Fernando de Noronha island and Rocas atoll wakes in the tropical Atlantic. Ocean Modelling, v. 111, p. 9-18, 2017. DOI: https://doi.org/10.1016/j.ocemod.2016.12.009 THALHOFER, J. L. et al. Equivalent dose calculation in simulation of lung cancer treatment and analysis of dose distribution profile. Applied Radiation and Isotopes, v. 142, p. 227- 233, 2018. DOI: https://doi.org/10.1016/j.apradiso.2018.07.012 TIMMERMAN, M. D.; FULLER, L. G.; BURTON, D. L. The effects of a crude oil spill on microbiological indices of soil biological quality. Canadian journal of soil science, v. 83, n. 2, p. 173-181, 2003. DOI: https://doi.org/10.4141/S01-039 TEIXEIRA, C. E. P. Caracterização e variabilidade da Hidrodinâmica da zona costeira adjacente ao banco de Abrolhos. 2006. Dissertação (Mestrado em Ciências) - Universidade de São Paulo, São Paulo, 2006 ULANOVSKY, A.; PRÖHL, G. A practical method for assessment of dose conversion coefficients for aquatic biota. Radiation and Environmental Biophysics, v. 45, n. 3, p. 203- 214, 2006. DOI: https://doi.org/10.1007/s00411-006-0061-4 VAN CLEEF, D. J. Determination of 226Ra in soil using 214Pb and 214Bi immediately after sampling. Health physics, v. 67, n. 3, p. 288-289, 1994. DOI: 10.1097/00004032-199409000- 00012 WILSON, C. A. et al. Determination of Uranium Series Activity Before Secular Equilibrium Is Established. Health physics, v. 117, n. 4, p. 449-456, 2019. DOI: 10.1097/HP.0000000000001073 WOODHEAD, D. S. The assessment of the radiation dose to developing fish embryos due to accumulation of radioactivity by the egg. Radiation research, v. 43, n.3, p. 582–597, 1970. DOI: https://doi.org/10.2307/3573231 ZHANG, S. et al. Are oil spills an important source of heavy metal contamination in the Bohai Sea, China? Environmental Science and Pollution Research, v. 27, n. 3, p. 3449- 3461, 2020. DOI: https://doi.org/10.1007/s11356-019-06913-1 ZHANG, J. et al. Oil spill detection in quad-polarimetric SAR Images using an advanced convolutional neural network based on SuperPixel model. Remote Sensing, v. 12, n. 6, p. 944, 2020. DOI: https://doi.org/10.3390/rs12060944 WIENDERS, N.; ARHAN, M.; MERCIER, H. Circulation at the western boundary of the South and Equatorial Atlantic: Exchanges with the ocean interior. Journal of Marine Research, v. 58, n. 6, p. 1007-1039, 2000. 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| dc.title.pt_BR.fl_str_mv |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| dc.title.alternative.pt_BR.fl_str_mv |
Methodological proposal using computer simulation to assess the dynamics of an oil spill and the dose to the biota. |
| title |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| spellingShingle |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. Protasio, Laianne dos Santos CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOLOGIA::GEOQUIMICA Derramamento de óleo Modelagem de Dispersão Radiodetecção Intemperismo do óleo Poluição marinha MEDSLICK Oil spil Dispersion Modeling Radiosensing Oil weathering Marine pollution MEDSLICK |
| title_short |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| title_full |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| title_fullStr |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| title_full_unstemmed |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| title_sort |
Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. |
| author |
Protasio, Laianne dos Santos |
| author_facet |
Protasio, Laianne dos Santos |
| author_role |
author |
| dc.contributor.advisor1.fl_str_mv |
Mendonça, Luis Felipe Ferreira de |
| dc.contributor.advisor1ID.fl_str_mv |
https://orcid.org/0000-0001-7836-200X |
| dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/0858411444864247 |
| dc.contributor.advisor-co1.fl_str_mv |
Lentini, Carlos Alessandre Domingos |
| dc.contributor.advisor-co1ID.fl_str_mv |
https://orcid.org/0000-0003-0406-1006 |
| dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/5969005066506687 |
| dc.contributor.referee1.fl_str_mv |
Mendonça, Luís Felipe Ferreira de |
| dc.contributor.referee1ID.fl_str_mv |
https://orcid.org/0000-0001-7836-200X |
| dc.contributor.referee1Lattes.fl_str_mv |
http://lattes.cnpq.br/0858411444864247 |
| dc.contributor.referee2.fl_str_mv |
Lentini, Carlos Alessandre Domingos |
| dc.contributor.referee2ID.fl_str_mv |
https://orcid.org/0000-0003-0406-1006 |
| dc.contributor.referee2Lattes.fl_str_mv |
http://lattes.cnpq.br/5969005066506687 |
| dc.contributor.referee3.fl_str_mv |
Lopes, José Marques |
| dc.contributor.referee3ID.fl_str_mv |
https://orcid.org/0000-0001-7819-6646 |
| dc.contributor.referee3Lattes.fl_str_mv |
http://lattes.cnpq.br/4361840482376714 |
| dc.contributor.referee4.fl_str_mv |
Freitas, Rose Ane Pereira de |
| dc.contributor.referee4ID.fl_str_mv |
https://orcid.org/0000-0003-0186-3484 |
| dc.contributor.referee4Lattes.fl_str_mv |
http://lattes.cnpq.br/2098305176727416 |
| dc.contributor.authorID.fl_str_mv |
https://orcid.org/0000-0001-7080-3595 |
| dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/2179922186158524 |
| dc.contributor.author.fl_str_mv |
Protasio, Laianne dos Santos |
| contributor_str_mv |
Mendonça, Luis Felipe Ferreira de Lentini, Carlos Alessandre Domingos Mendonça, Luís Felipe Ferreira de Lentini, Carlos Alessandre Domingos Lopes, José Marques Freitas, Rose Ane Pereira de |
| dc.subject.cnpq.fl_str_mv |
CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOLOGIA::GEOQUIMICA |
| topic |
CNPQ::CIENCIAS EXATAS E DA TERRA::GEOCIENCIAS::GEOLOGIA::GEOQUIMICA Derramamento de óleo Modelagem de Dispersão Radiodetecção Intemperismo do óleo Poluição marinha MEDSLICK Oil spil Dispersion Modeling Radiosensing Oil weathering Marine pollution MEDSLICK |
| dc.subject.por.fl_str_mv |
Derramamento de óleo Modelagem de Dispersão Radiodetecção Intemperismo do óleo Poluição marinha MEDSLICK |
| dc.subject.other.pt_BR.fl_str_mv |
Oil spil Dispersion Modeling Radiosensing Oil weathering Marine pollution MEDSLICK |
| description |
Os derramamentos de óleo correspondem a uma das mais impactantes fontes de poluição marinha. A liberação de óleo na superfície do oceano pode gerar potenciais impactos ambientais. Devido a estes impactos causados pela indústria de exploração de petróleo, conhecer seu comportamento no ambiente marinho através de estudos de prevenção, controle e mitigação de derramamentos de óleo se fazem necessários. Muitos estudos já fazem utilização de modelos e códigos computacionais que têm se mostrado uma importante ferramenta, de baixo custo computacional, para o gerenciamento de riscos. O presente trabalho tem por objetivo analisar os dados de saída do modelo de dispersão de óleo no software MEDSLICKII, através do estudo de caso de um derramamento de óleo na região da Bacia de Cumuruxatiba. Este modelo calcula a partir de dados de um modelo regional oceânico o transporte e intemperismo do óleo, utilizando uma representação Lagrangiana da mancha. Além disto, propomos observar o impacto do óleo na biota através do código computacional Monte Carlo (MCNP), que estima o transporte de radiação ionizante do óleo para biota no meio oceânico. Nossos resultados mostraram que a CB, com sua aceleração associada aos meses de verão, pode funcionar como uma barreira física contra o transporte zonal de óleo, e outro ponto importante é que o transporte característico das correntes de contorno oeste, pode funcionar como um forte agente espalhador de elementos associados ao óleo ao longo da costa brasileira. Além disso, a série Th-232 se destacou por apresentar contribuição significativa para a dose. Porém, uma ação corretiva capaz de remover o Tl-208 diminuiria significativamente os efeitos da radiação nas populações expostas prontamente, uma vez que esse radionuclídeo se destaca como aquele que entrega mais percentual de dose. Esse estudo é uma primeira aproximação em termos de taxa de dose na biota devido a um derramamento de óleo. Assim, com base nestas informações geradas pelos modelos se almeja criar uma metodologia de aplicação para futuros estudos de derramamentos de óleo e seu impacto nas áreas costeiras do litoral brasileiro. |
| publishDate |
2021 |
| dc.date.issued.fl_str_mv |
2021-11-29 |
| dc.date.accessioned.fl_str_mv |
2023-10-17T10:32:26Z |
| dc.date.available.fl_str_mv |
2023-10-17T10:32:26Z |
| dc.type.driver.fl_str_mv |
Mestrado Acadêmico info:eu-repo/semantics/masterThesis |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
masterThesis |
| status_str |
publishedVersion |
| dc.identifier.citation.fl_str_mv |
PROTASIO, Laianne dos Santos. Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. 2021. 56 f. Dissertação (Mestrado em Geoquímica do Petróleo e Ambiental) - Instituto de Geociências, Universidade Federal da Bahia, Salvador (Bahia), 2021. |
| dc.identifier.uri.fl_str_mv |
https://repositorio.ufba.br/handle/ri/38050 |
| identifier_str_mv |
PROTASIO, Laianne dos Santos. Proposta metodológica utilizando simulação computacional para avaliar dinâmica de um derramamento de óleo e a dose na biota. 2021. 56 f. Dissertação (Mestrado em Geoquímica do Petróleo e Ambiental) - Instituto de Geociências, Universidade Federal da Bahia, Salvador (Bahia), 2021. |
| url |
https://repositorio.ufba.br/handle/ri/38050 |
| dc.language.iso.fl_str_mv |
por |
| language |
por |
| dc.relation.references.pt_BR.fl_str_mv |
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