In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea
Knowing where an oil-spill would go is crucial to assess explorations and developments risks and to plan for an optimized and effective clean-up. Having this knowledge is even more crucial for spills in the harsh climate of the hydrocarbon-rich Beaufort Sea where the dominance of harsh ice and darkn...
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Environment and Climate Change Canada
2016
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ftnrccanada:oai:cisti-icist.nrc-cnrc.ca:cistinparc:23001848 2023-05-15T15:40:17+02:00 In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea Babaei, Hossein Burcher, Richard Watson, David Tivy, Adrienne 2016-06-07 text https://nrc-publications.canada.ca/eng/view/ft/?id=fa350f21-f053-4009-acb1-2af0a2aac3a6 https://nrc-publications.canada.ca/eng/view/object/?id=fa350f21-f053-4009-acb1-2af0a2aac3a6 https://nrc-publications.canada.ca/fra/voir/objet/?id=fa350f21-f053-4009-acb1-2af0a2aac3a6 eng eng Environment and Climate Change Canada Proceedings of the Thirty-ninth AMOP Technical Seminar, Environment and Climate Change Canada: June 7-9, 2016 Halifax, Nova Scotia, Canada, The 39th AMOP Technical Seminar on Environmental Contamination and Response, June 7-9, 2016, Halifax, NS Canada, ISBN: 0660048515, Publication date: 2016-06-07 article 2016 ftnrccanada 2021-09-01T06:35:44Z Knowing where an oil-spill would go is crucial to assess explorations and developments risks and to plan for an optimized and effective clean-up. Having this knowledge is even more crucial for spills in the harsh climate of the hydrocarbon-rich Beaufort Sea where the dominance of harsh ice and darkness during colder seasons make detection and clean-up very challenging. We have modelled and analyzed several in-ice oil spill scenarios for this location and seasons during which the concentration of ice is very high. A satellite-derived ice drift dataset is employed as the driver of the in-ice spills with the assumption that oil only moves with ice. Shallow and deep water spills at different locations, starting at different times and with different spill durations are modelled. Trajectories were modelled assuming that the ice drift dataset is and is not error-free. Uncertainties were modelled through a Monte-Carlo approach. Some of the conclusions follow: (1) the extent of the spill is generally larger when the spill starts on 1 Nov. than when it starts on 15 Dec. (2) deep water spills extend farther than shallow water spills, and (3) shallow water, earlier in the colder winter season, and longer-lasting spills are generally associated with elongated contaminated territorial water boundaries. Peer reviewed: Yes NRC publication: Yes Article in Journal/Newspaper Beaufort Sea National Research Council Canada: NRC Publications Archive |
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Open Polar |
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National Research Council Canada: NRC Publications Archive |
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ftnrccanada |
language |
English |
description |
Knowing where an oil-spill would go is crucial to assess explorations and developments risks and to plan for an optimized and effective clean-up. Having this knowledge is even more crucial for spills in the harsh climate of the hydrocarbon-rich Beaufort Sea where the dominance of harsh ice and darkness during colder seasons make detection and clean-up very challenging. We have modelled and analyzed several in-ice oil spill scenarios for this location and seasons during which the concentration of ice is very high. A satellite-derived ice drift dataset is employed as the driver of the in-ice spills with the assumption that oil only moves with ice. Shallow and deep water spills at different locations, starting at different times and with different spill durations are modelled. Trajectories were modelled assuming that the ice drift dataset is and is not error-free. Uncertainties were modelled through a Monte-Carlo approach. Some of the conclusions follow: (1) the extent of the spill is generally larger when the spill starts on 1 Nov. than when it starts on 15 Dec. (2) deep water spills extend farther than shallow water spills, and (3) shallow water, earlier in the colder winter season, and longer-lasting spills are generally associated with elongated contaminated territorial water boundaries. Peer reviewed: Yes NRC publication: Yes |
format |
Article in Journal/Newspaper |
author |
Babaei, Hossein Burcher, Richard Watson, David Tivy, Adrienne |
spellingShingle |
Babaei, Hossein Burcher, Richard Watson, David Tivy, Adrienne In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea |
author_facet |
Babaei, Hossein Burcher, Richard Watson, David Tivy, Adrienne |
author_sort |
Babaei, Hossein |
title |
In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea |
title_short |
In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea |
title_full |
In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea |
title_fullStr |
In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea |
title_full_unstemmed |
In-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the Beaufort Sea |
title_sort |
in-ice oil spill trajectory modeling based on a satellite-derived ice drift dataset for the beaufort sea |
publisher |
Environment and Climate Change Canada |
publishDate |
2016 |
url |
https://nrc-publications.canada.ca/eng/view/ft/?id=fa350f21-f053-4009-acb1-2af0a2aac3a6 https://nrc-publications.canada.ca/eng/view/object/?id=fa350f21-f053-4009-acb1-2af0a2aac3a6 https://nrc-publications.canada.ca/fra/voir/objet/?id=fa350f21-f053-4009-acb1-2af0a2aac3a6 |
genre |
Beaufort Sea |
genre_facet |
Beaufort Sea |
op_relation |
Proceedings of the Thirty-ninth AMOP Technical Seminar, Environment and Climate Change Canada: June 7-9, 2016 Halifax, Nova Scotia, Canada, The 39th AMOP Technical Seminar on Environmental Contamination and Response, June 7-9, 2016, Halifax, NS Canada, ISBN: 0660048515, Publication date: 2016-06-07 |
_version_ |
1766372468361003008 |