Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2023 |
| Outros Autores: | |
| Tipo de documento: | Artigo |
| Idioma: | eng |
| Título da fonte: | Revista Ciência e Natura (Online) |
| Texto Completo: | https://periodicos.ufsm.br/cienciaenatura/article/view/74957 |
Resumo: | The Port of Paranaguá serves as Brazil's primary outlet for soy oil exports, accounting for nearly 70\% of all shipments in 2021. While less common than mineral oil spills, vegetable oil spills can have similarly devastating environmental effects. This risk underscores the need for effective planning and management of activities involving vegetable oil handling in the region. To address this need, this study developed results based on a forecasting setup focused on describing the behaviour of soy oil spills in the estuarine complex of Paranaguá. The system uses the open TELEMAC-MASCARET three-dimensional numerical modelling system to solve oil movement equations, coupling the hydrodynamic module (Telemac-3d) with the oil module (ECOS). The system is automated through computational routines written in Python and the bash command language, enabling users to initiate simulations and generate dispersion maps to track soybean oil in hypothetical spill scenarios. The processing results were satisfactory, demonstrating the potential for this tool to contribute to minimising the impacts of soybean oil spills in the Bay of Paranaguá. This system can support better decision-making in response efforts, reduce environmental damage, and enhance the protection of local ecosystems. |
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Forecast modelling of vegetable oil spill events at Paranaguá Port, BrazilModelagem da previsão de eventos de derramamento de óleo vegetal no Porto de Paranaguá, BrasilSoy oilTelemac-3dECOSPythonForecast modellingOil spillModelo de previsãoDerrames de óleoTelemac-3dECOSPythonÓleo de sojaThe Port of Paranaguá serves as Brazil's primary outlet for soy oil exports, accounting for nearly 70\% of all shipments in 2021. While less common than mineral oil spills, vegetable oil spills can have similarly devastating environmental effects. This risk underscores the need for effective planning and management of activities involving vegetable oil handling in the region. To address this need, this study developed results based on a forecasting setup focused on describing the behaviour of soy oil spills in the estuarine complex of Paranaguá. The system uses the open TELEMAC-MASCARET three-dimensional numerical modelling system to solve oil movement equations, coupling the hydrodynamic module (Telemac-3d) with the oil module (ECOS). The system is automated through computational routines written in Python and the bash command language, enabling users to initiate simulations and generate dispersion maps to track soybean oil in hypothetical spill scenarios. The processing results were satisfactory, demonstrating the potential for this tool to contribute to minimising the impacts of soybean oil spills in the Bay of Paranaguá. This system can support better decision-making in response efforts, reduce environmental damage, and enhance the protection of local ecosystems.O Porto de Paranaguá é o principal porto brasileiro para as exportações de óleo de soja, respondendo por quase 70% de todos os embarques em 2021. Embora menos comuns do que os derrames de óleo mineral, os derrames de óleo vegetal podem ter efeitos ambientais igualmente devastadores. Esse risco reforça a necessidade de planejamento e gestão eficazes das atividades que envolvem o manuseio de óleos vegetais na região. Para atender a essa necessidade, este estudo objetivou descrever o comportamento de derramamentos de óleo de soja no complexo estuarino de Paranaguá frente a uma abordagem de modelagem em modo de precisão. O sistema utiliza o sistema de modelagem numérica tridimensional openTELEMAC-MASCARET para resolver equações do movimento, acoplando o módulo hidrodinâmico (Telemac-3d) com o módulo de óleo (ECOS). O sistema é automatizado por meio de rotinas computacionais escritas em Python e na linguagem de comando bash, permitindo que os usuários iniciem simulações e gerem mapas de dispersão para rastrear o óleo de soja em cenários hipotéticos de derramamento. Os resultados do processamento foram satisfatórios, demonstrando o potencial desta ferramenta em contribuir para a minimização dos impactos do derramamento de óleo de soja na Baía de Paranaguá. Este sistema pode apoiar uma melhor tomada de decisão nos esforços de resposta, reduzir os danos ambientais e aumentar a proteção dos ecossistemas locais.Universidade Federal de Santa Maria2023-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaenatura/article/view/7495710.5902/2179460X74957Ciência e Natura; Vol. 45 No. esp. 3 (2023): ENMC/ECTM/MCSul/SEMENGO; e74957Ciência e Natura; v. 45 n. esp. 3 (2023): XXV ENMC - XIII ECTM - IX MCSul - IX SEMENGO; e749572179-460X0100-8307reponame:Revista Ciência e Natura (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMenghttps://periodicos.ufsm.br/cienciaenatura/article/view/74957/62416Copyright (c) 2023 Ciência e Naturainfo:eu-repo/semantics/openAccessSchmidt, Luiz GustavoKirinus, Eduardo de Paula2024-02-26T14:55:26Zoai:ojs.pkp.sfu.ca:article/74957Revistahttps://periodicos.ufsm.br/cienciaenatura/indexPUBhttps://periodicos.ufsm.br/cienciaenatura/oaicienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br2179-460X0100-8307opendoar:2024-02-26T14:55:26Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)false |
| dc.title.none.fl_str_mv |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil Modelagem da previsão de eventos de derramamento de óleo vegetal no Porto de Paranaguá, Brasil |
| title |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil |
| spellingShingle |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil Schmidt, Luiz Gustavo Soy oil Telemac-3d ECOS Python Forecast modelling Oil spill Modelo de previsão Derrames de óleo Telemac-3d ECOS Python Óleo de soja |
| title_short |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil |
| title_full |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil |
| title_fullStr |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil |
| title_full_unstemmed |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil |
| title_sort |
Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil |
| author |
Schmidt, Luiz Gustavo |
| author_facet |
Schmidt, Luiz Gustavo Kirinus, Eduardo de Paula |
| author_role |
author |
| author2 |
Kirinus, Eduardo de Paula |
| author2_role |
author |
| dc.contributor.author.fl_str_mv |
Schmidt, Luiz Gustavo Kirinus, Eduardo de Paula |
| dc.subject.por.fl_str_mv |
Soy oil Telemac-3d ECOS Python Forecast modelling Oil spill Modelo de previsão Derrames de óleo Telemac-3d ECOS Python Óleo de soja |
| topic |
Soy oil Telemac-3d ECOS Python Forecast modelling Oil spill Modelo de previsão Derrames de óleo Telemac-3d ECOS Python Óleo de soja |
| description |
The Port of Paranaguá serves as Brazil's primary outlet for soy oil exports, accounting for nearly 70\% of all shipments in 2021. While less common than mineral oil spills, vegetable oil spills can have similarly devastating environmental effects. This risk underscores the need for effective planning and management of activities involving vegetable oil handling in the region. To address this need, this study developed results based on a forecasting setup focused on describing the behaviour of soy oil spills in the estuarine complex of Paranaguá. The system uses the open TELEMAC-MASCARET three-dimensional numerical modelling system to solve oil movement equations, coupling the hydrodynamic module (Telemac-3d) with the oil module (ECOS). The system is automated through computational routines written in Python and the bash command language, enabling users to initiate simulations and generate dispersion maps to track soybean oil in hypothetical spill scenarios. The processing results were satisfactory, demonstrating the potential for this tool to contribute to minimising the impacts of soybean oil spills in the Bay of Paranaguá. This system can support better decision-making in response efforts, reduce environmental damage, and enhance the protection of local ecosystems. |
| publishDate |
2023 |
| dc.date.none.fl_str_mv |
2023-12-01 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
https://periodicos.ufsm.br/cienciaenatura/article/view/74957 10.5902/2179460X74957 |
| url |
https://periodicos.ufsm.br/cienciaenatura/article/view/74957 |
| identifier_str_mv |
10.5902/2179460X74957 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
https://periodicos.ufsm.br/cienciaenatura/article/view/74957/62416 |
| dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Ciência e Natura info:eu-repo/semantics/openAccess |
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Copyright (c) 2023 Ciência e Natura |
| eu_rights_str_mv |
openAccess |
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application/pdf |
| dc.publisher.none.fl_str_mv |
Universidade Federal de Santa Maria |
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Universidade Federal de Santa Maria |
| dc.source.none.fl_str_mv |
Ciência e Natura; Vol. 45 No. esp. 3 (2023): ENMC/ECTM/MCSul/SEMENGO; e74957 Ciência e Natura; v. 45 n. esp. 3 (2023): XXV ENMC - XIII ECTM - IX MCSul - IX SEMENGO; e74957 2179-460X 0100-8307 reponame:Revista Ciência e Natura (Online) instname:Universidade Federal de Santa Maria (UFSM) instacron:UFSM |
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Universidade Federal de Santa Maria (UFSM) |
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UFSM |
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UFSM |
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Revista Ciência e Natura (Online) |
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Revista Ciência e Natura (Online) |
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Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM) |
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cienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br |
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1839277888050823168 |