A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats
Increasing exploration and exploitation activity in the Arctic Ocean has intensified maritime traffic in the Barents Sea. Due to the sparse population and insufficient oil spill response infrastructure on the extensive Barents Sea shoreline, it is necessary to address the possibility of offshore acc...
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2021
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ftdoajarticles:oai:doaj.org/article:c072f2c896554fecb1b784015785ce48 2023-05-15T15:00:03+02:00 A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats Victor Pavlov Victor Cesar Martins de Aguiar Lars Robert Hole Eva Pongrácz 2021-12-01T00:00:00Z https://doi.org/10.3390/resources11010001 https://doaj.org/article/c072f2c896554fecb1b784015785ce48 EN eng MDPI AG https://www.mdpi.com/2079-9276/11/1/1 https://doaj.org/toc/2079-9276 doi:10.3390/resources11010001 2079-9276 https://doaj.org/article/c072f2c896554fecb1b784015785ce48 Resources, Vol 11, Iss 1, p 1 (2021) Arctic marine resources oil drift OpenDrift OpenOil oil spill simulations Science Q article 2021 ftdoajarticles https://doi.org/10.3390/resources11010001 2022-12-31T00:31:52Z Increasing exploration and exploitation activity in the Arctic Ocean has intensified maritime traffic in the Barents Sea. Due to the sparse population and insufficient oil spill response infrastructure on the extensive Barents Sea shoreline, it is necessary to address the possibility of offshore accidents and study hazards to the local environment and its resources. Simulations of surface oil spills were conducted in south-east of the Barents Sea to identify oil pollution trajectories. The objective of this research was to focus on one geographical location, which lies along popular maritime routes and also borders with sensitive ecological marine and terrestrial areas. As a sample of traditional heavy bunker oil, IFO-180LS (2014) was selected for the study of oil spills and used for the 30-year simulations. The second oil case was medium oil type: Volve (2006)—to give a broader picture for oil spill accident scenarios. Simulations for four annual seasons were run with the open source OpenDrift modelling tool using oceanographic and atmospheric data from the period of 1988–2018. The modelling produced a 30-year probability map, which was overlapped with environmental data of the area to discuss likely impacts to local marine ecosystems, applicable oil spill response tools and favourable shipping seasons. Based on available data regarding the environmental and socio-economic baselines of the studied region, we recommend to address potential threats to marine resources and local communities in more detail in a separate study. Article in Journal/Newspaper Arctic Arctic Ocean Barents Sea Directory of Open Access Journals: DOAJ Articles Arctic Arctic Ocean Barents Sea Ifo ENVELOPE(139.739,139.739,-66.629,-66.629) Resources 11 1 1 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic marine resources oil drift OpenDrift OpenOil oil spill simulations Science Q |
spellingShingle |
Arctic marine resources oil drift OpenDrift OpenOil oil spill simulations Science Q Victor Pavlov Victor Cesar Martins de Aguiar Lars Robert Hole Eva Pongrácz A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats |
topic_facet |
Arctic marine resources oil drift OpenDrift OpenOil oil spill simulations Science Q |
description |
Increasing exploration and exploitation activity in the Arctic Ocean has intensified maritime traffic in the Barents Sea. Due to the sparse population and insufficient oil spill response infrastructure on the extensive Barents Sea shoreline, it is necessary to address the possibility of offshore accidents and study hazards to the local environment and its resources. Simulations of surface oil spills were conducted in south-east of the Barents Sea to identify oil pollution trajectories. The objective of this research was to focus on one geographical location, which lies along popular maritime routes and also borders with sensitive ecological marine and terrestrial areas. As a sample of traditional heavy bunker oil, IFO-180LS (2014) was selected for the study of oil spills and used for the 30-year simulations. The second oil case was medium oil type: Volve (2006)—to give a broader picture for oil spill accident scenarios. Simulations for four annual seasons were run with the open source OpenDrift modelling tool using oceanographic and atmospheric data from the period of 1988–2018. The modelling produced a 30-year probability map, which was overlapped with environmental data of the area to discuss likely impacts to local marine ecosystems, applicable oil spill response tools and favourable shipping seasons. Based on available data regarding the environmental and socio-economic baselines of the studied region, we recommend to address potential threats to marine resources and local communities in more detail in a separate study. |
format |
Article in Journal/Newspaper |
author |
Victor Pavlov Victor Cesar Martins de Aguiar Lars Robert Hole Eva Pongrácz |
author_facet |
Victor Pavlov Victor Cesar Martins de Aguiar Lars Robert Hole Eva Pongrácz |
author_sort |
Victor Pavlov |
title |
A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats |
title_short |
A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats |
title_full |
A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats |
title_fullStr |
A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats |
title_full_unstemmed |
A 30-Year Probability Map for Oil Spill Trajectories in the Barents Sea to Assess Potential Environmental and Socio-Economic Threats |
title_sort |
30-year probability map for oil spill trajectories in the barents sea to assess potential environmental and socio-economic threats |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doi.org/10.3390/resources11010001 https://doaj.org/article/c072f2c896554fecb1b784015785ce48 |
long_lat |
ENVELOPE(139.739,139.739,-66.629,-66.629) |
geographic |
Arctic Arctic Ocean Barents Sea Ifo |
geographic_facet |
Arctic Arctic Ocean Barents Sea Ifo |
genre |
Arctic Arctic Ocean Barents Sea |
genre_facet |
Arctic Arctic Ocean Barents Sea |
op_source |
Resources, Vol 11, Iss 1, p 1 (2021) |
op_relation |
https://www.mdpi.com/2079-9276/11/1/1 https://doaj.org/toc/2079-9276 doi:10.3390/resources11010001 2079-9276 https://doaj.org/article/c072f2c896554fecb1b784015785ce48 |
op_doi |
https://doi.org/10.3390/resources11010001 |
container_title |
Resources |
container_volume |
11 |
container_issue |
1 |
container_start_page |
1 |
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1766332164206493696 |