Examining the Impact of a Crude Oil Spill on the Permittivity Profile and Normalized Radar Cross Section of Young Sea Ice
An oil-in-sea ice mesocosm experiment was conducted at the University of Manitoba Sea-Ice Environmental Research Facility from January to March 2016 in which geophysical and electromagnetic parameters of the ice were measured, and general observations about the oil-contaminated ice were made. From t...
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| Veröffentlicht in: | IEEE transactions on geoscience and remote sensing 2018-02, Vol.56 (2), p.921-936 |
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| creator | Neusitzer, Thomas D. Firoozy, Nariman Tiede, Tyler M. Desmond, Durell S. Lemes, Marcos J. L. Stern, Gary A. Rysgaard, Soren Mojabi, Puyan Barber, David G. |
| description | An oil-in-sea ice mesocosm experiment was conducted at the University of Manitoba Sea-Ice Environmental Research Facility from January to March 2016 in which geophysical and electromagnetic parameters of the ice were measured, and general observations about the oil-contaminated ice were made. From the experimental measurements, the presence of crude oil appears to affect the temperature and bulk salinity profiles as well as the normalized radar cross section (NRCS) of the contaminated young sea ice. The measured temperature and bulk salinity profiles of the ice, as well as the crude oil distribution within the ice, were used to model the permittivity profile of the oil-contaminated ice by adapting two mixture models commonly used to describe sea ice to account for the presence of oil. Permittivity modeling results were used to simulate the NRCS of the oil-contaminated sea ice in an effort to determine the accuracy of the models. In addition, the application of X-ray microtomography in modeling the dielectric profile of oil-contaminated sea ice was examined. The sensitivity of the permittivity models for oil-contaminated sea ice to changes in temperature, frequency, and oil volume fraction was also examined. |
| doi_str_mv | 10.1109/TGRS.2017.2756843 |
| format | Article |
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L. ; Stern, Gary A. ; Rysgaard, Soren ; Mojabi, Puyan ; Barber, David G.</creator><creatorcontrib>Neusitzer, Thomas D. ; Firoozy, Nariman ; Tiede, Tyler M. ; Desmond, Durell S. ; Lemes, Marcos J. L. ; Stern, Gary A. ; Rysgaard, Soren ; Mojabi, Puyan ; Barber, David G.</creatorcontrib><description>An oil-in-sea ice mesocosm experiment was conducted at the University of Manitoba Sea-Ice Environmental Research Facility from January to March 2016 in which geophysical and electromagnetic parameters of the ice were measured, and general observations about the oil-contaminated ice were made. From the experimental measurements, the presence of crude oil appears to affect the temperature and bulk salinity profiles as well as the normalized radar cross section (NRCS) of the contaminated young sea ice. The measured temperature and bulk salinity profiles of the ice, as well as the crude oil distribution within the ice, were used to model the permittivity profile of the oil-contaminated ice by adapting two mixture models commonly used to describe sea ice to account for the presence of oil. Permittivity modeling results were used to simulate the NRCS of the oil-contaminated sea ice in an effort to determine the accuracy of the models. In addition, the application of X-ray microtomography in modeling the dielectric profile of oil-contaminated sea ice was examined. The sensitivity of the permittivity models for oil-contaminated sea ice to changes in temperature, frequency, and oil volume fraction was also examined.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2017.2756843</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Arctic ; complex permittivity profile ; Computer simulation ; Concentration (composition) ; Contamination ; Crude oil ; Educational institutions ; Environmental research ; Geophysics ; Ice ; Ice environments ; Mesocosms ; Model accuracy ; Modelling ; normalized radar cross section (NRCS) ; Oil pollution ; oil spill ; Oil spills ; Oils ; Permittivity ; Profiles ; Radar ; Radar cross sections ; Salinity ; Salinity effects ; Salinity profiles ; Sea ice ; Sea measurements ; Temperature ; Temperature effects ; Temperature measurement ; X ray microtomography ; young sea ice</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2018-02, Vol.56 (2), p.921-936</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-440da2e43101032c39c03aeeb75e4d405d8ec707828ed6e98003b936669fa4d83</citedby><cites>FETCH-LOGICAL-c293t-440da2e43101032c39c03aeeb75e4d405d8ec707828ed6e98003b936669fa4d83</cites><orcidid>0000-0003-3524-6804 ; 0000-0003-1726-2958 ; 0000-0003-2160-0841 ; 0000-0003-2133-4387</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/8071156$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/8071156$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Neusitzer, Thomas D.</creatorcontrib><creatorcontrib>Firoozy, Nariman</creatorcontrib><creatorcontrib>Tiede, Tyler M.</creatorcontrib><creatorcontrib>Desmond, Durell S.</creatorcontrib><creatorcontrib>Lemes, Marcos J. 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The measured temperature and bulk salinity profiles of the ice, as well as the crude oil distribution within the ice, were used to model the permittivity profile of the oil-contaminated ice by adapting two mixture models commonly used to describe sea ice to account for the presence of oil. Permittivity modeling results were used to simulate the NRCS of the oil-contaminated sea ice in an effort to determine the accuracy of the models. In addition, the application of X-ray microtomography in modeling the dielectric profile of oil-contaminated sea ice was examined. The sensitivity of the permittivity models for oil-contaminated sea ice to changes in temperature, frequency, and oil volume fraction was also examined.</description><subject>Arctic</subject><subject>complex permittivity profile</subject><subject>Computer simulation</subject><subject>Concentration (composition)</subject><subject>Contamination</subject><subject>Crude oil</subject><subject>Educational institutions</subject><subject>Environmental research</subject><subject>Geophysics</subject><subject>Ice</subject><subject>Ice environments</subject><subject>Mesocosms</subject><subject>Model accuracy</subject><subject>Modelling</subject><subject>normalized radar cross section (NRCS)</subject><subject>Oil pollution</subject><subject>oil spill</subject><subject>Oil spills</subject><subject>Oils</subject><subject>Permittivity</subject><subject>Profiles</subject><subject>Radar</subject><subject>Radar cross sections</subject><subject>Salinity</subject><subject>Salinity effects</subject><subject>Salinity profiles</subject><subject>Sea ice</subject><subject>Sea measurements</subject><subject>Temperature</subject><subject>Temperature effects</subject><subject>Temperature measurement</subject><subject>X ray microtomography</subject><subject>young sea ice</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOwzAQRS0EEqXwAYiNJdYpM7aT2EtUlVKpohWFBavIxBMwyqM4KaJ8PSmtWM3m3HtHh7FLhBEimJun6eNqJADTkUjjRCt5xAYYxzqCRKljNgA0SSS0EafsrG0_AFDFmA7YdvJtK1_7-o1378Rn1drmHW8Kbvk4bBzxhS_5au3Lkjf1H7KkUPmu81--2_JlaApfEre14w9NqGzpf8jxR-ts6AuatuUryjvfZ_vOl2bT76zI8llO5-yksGVLF4c7ZM93k6fxfTRfTGfj23mUCyO7SClwVpCSCAhS5NLkIC3RaxqTcgpipylPIdVCk0vIaAD5amSSJKawymk5ZNf73nVoPjfUdtlHswl1P5mhMQJRY6p6CvdUvns6UJGtg69s2GYI2c5wtjOc7QxnB8N95mqf8UT0z2tIEeNE_gJw7naQ</recordid><startdate>20180201</startdate><enddate>20180201</enddate><creator>Neusitzer, Thomas D.</creator><creator>Firoozy, Nariman</creator><creator>Tiede, Tyler M.</creator><creator>Desmond, Durell S.</creator><creator>Lemes, Marcos J. 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(IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-3524-6804</orcidid><orcidid>https://orcid.org/0000-0003-1726-2958</orcidid><orcidid>https://orcid.org/0000-0003-2160-0841</orcidid><orcidid>https://orcid.org/0000-0003-2133-4387</orcidid></search><sort><creationdate>20180201</creationdate><title>Examining the Impact of a Crude Oil Spill on the Permittivity Profile and Normalized Radar Cross Section of Young Sea Ice</title><author>Neusitzer, Thomas D. ; Firoozy, Nariman ; Tiede, Tyler M. ; Desmond, Durell S. ; Lemes, Marcos J. 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L.</au><au>Stern, Gary A.</au><au>Rysgaard, Soren</au><au>Mojabi, Puyan</au><au>Barber, David G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Examining the Impact of a Crude Oil Spill on the Permittivity Profile and Normalized Radar Cross Section of Young Sea Ice</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2018-02-01</date><risdate>2018</risdate><volume>56</volume><issue>2</issue><spage>921</spage><epage>936</epage><pages>921-936</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>An oil-in-sea ice mesocosm experiment was conducted at the University of Manitoba Sea-Ice Environmental Research Facility from January to March 2016 in which geophysical and electromagnetic parameters of the ice were measured, and general observations about the oil-contaminated ice were made. From the experimental measurements, the presence of crude oil appears to affect the temperature and bulk salinity profiles as well as the normalized radar cross section (NRCS) of the contaminated young sea ice. The measured temperature and bulk salinity profiles of the ice, as well as the crude oil distribution within the ice, were used to model the permittivity profile of the oil-contaminated ice by adapting two mixture models commonly used to describe sea ice to account for the presence of oil. Permittivity modeling results were used to simulate the NRCS of the oil-contaminated sea ice in an effort to determine the accuracy of the models. In addition, the application of X-ray microtomography in modeling the dielectric profile of oil-contaminated sea ice was examined. The sensitivity of the permittivity models for oil-contaminated sea ice to changes in temperature, frequency, and oil volume fraction was also examined.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2017.2756843</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0003-3524-6804</orcidid><orcidid>https://orcid.org/0000-0003-1726-2958</orcidid><orcidid>https://orcid.org/0000-0003-2160-0841</orcidid><orcidid>https://orcid.org/0000-0003-2133-4387</orcidid></addata></record> |
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| identifier | ISSN: 0196-2892 |
| ispartof | IEEE transactions on geoscience and remote sensing, 2018-02, Vol.56 (2), p.921-936 |
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| source | IEEE Electronic Library (IEL) |
| subjects | Arctic complex permittivity profile Computer simulation Concentration (composition) Contamination Crude oil Educational institutions Environmental research Geophysics Ice Ice environments Mesocosms Model accuracy Modelling normalized radar cross section (NRCS) Oil pollution oil spill Oil spills Oils Permittivity Profiles Radar Radar cross sections Salinity Salinity effects Salinity profiles Sea ice Sea measurements Temperature Temperature effects Temperature measurement X ray microtomography young sea ice |
| title | Examining the Impact of a Crude Oil Spill on the Permittivity Profile and Normalized Radar Cross Section of Young Sea Ice |
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