Forecast modelling of vegetable oil spill events at Paranaguá Port, Brazil

Detalhes bibliográficos
Autor(a) principal: Schmidt, Luiz Gustavo
Data de Publicação: 2023
Outros Autores: Kirinus, Eduardo de Paula
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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spelling 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
rights_invalid_str_mv Copyright (c) 2023 Ciência e Natura
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv 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
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Revista Ciência e Natura (Online)
collection Revista Ciência e Natura (Online)
repository.name.fl_str_mv Revista Ciência e Natura (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv cienciaenatura@ufsm.br || centraldeperiodicos@ufsm.br
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