Investigation into the geometry and distribution of oil inclusions in sea ice using non-destructive X-ray microtomography and its implications for remote sensing and mitigation potential.
Autor: | Desmond DS; University of Manitoba, Winnipeg, MB, Canada. Electronic address: umdesmod@myumanitoba.ca., Crabeck O; University of East Anglia, Norwich, United Kingdom; Laboratoire de Glaciologie, Université Libre de Bruxelles, Bruxelles, Belgium; Unité d'Océanographie Chimique, Freshwater and Oceanic sCience Unit reSearch (FOCUS), Université de Liège, Liège, Belgium., Lemes M; University of Manitoba, Winnipeg, MB, Canada., Harasyn ML; University of Manitoba, Winnipeg, MB, Canada., Mansoori A; University of Manitoba, Winnipeg, MB, Canada., Saltymakova D; University of Manitoba, Winnipeg, MB, Canada., Fuller MC; University of Manitoba, Winnipeg, MB, Canada; University of Calgary, Calgary, AB, Canada., Rysgaard S; University of Manitoba, Winnipeg, MB, Canada; Aarhus University, Aarhus, Denmark., Barber DG; University of Manitoba, Winnipeg, MB, Canada., Isleifson D; University of Manitoba, Winnipeg, MB, Canada., Stern GA; University of Manitoba, Winnipeg, MB, Canada. Electronic address: gary.stern@umanitoba.ca. |
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Jazyk: | angličtina |
Zdroj: | Marine pollution bulletin [Mar Pollut Bull] 2021 Dec; Vol. 173 (Pt A), pp. 112996. Date of Electronic Publication: 2021 Oct 06. |
DOI: | 10.1016/j.marpolbul.2021.112996 |
Abstrakt: | As climate change brings reduced sea ice cover and longer ice-free summers to the Arctic, northern Canada is experiencing an increase in shipping and industrial activity in this sensitive region. Disappearing sea ice, therefore, makes the Arctic region susceptible to accidental releases of different types of oil and fuel pollution resulting in a pressing need for the development of appropriate scientific knowledge necessary to inform regulatory policy formulation. In this study, we examine the microstructure of the surficial layers of sea ice exposed to oil using X-ray microtomography. Through analysis, 3D imaging of the spatial distribution of the ice's components (brine, air, and oil) were made. Additional quantitative information regarding the size, proximity, orientation, and geometry of oil inclusions were computed to ascertain discernable relationships between oil and the other components of the ice. Our results indicate implications for airborne remote sensing and bioremediation of the upper sea ice layers. (Copyright © 2021 Elsevier Ltd. All rights reserved.) |
Databáze: | MEDLINE |
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