Identification of Oil Slicks by Infrared Spectroscopy
This investigation evaluated the applicability of infrared spectroscopy to identifying sources of oil spills, using computer methods for matching spectra. Eighty-five different oils of all types were 'weathered' for two weeks in at least two of four weathering grids. Two of the grids were...
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| creator | Brown,Chris W Lynch ,Patricia F Ahmadjian, Mark |
| description | This investigation evaluated the applicability of infrared spectroscopy to identifying sources of oil spills, using computer methods for matching spectra. Eighty-five different oils of all types were 'weathered' for two weeks in at least two of four weathering grids. Two of the grids were located on Narragansett Bay (one in the Bay and one onshore), and two at the University's Kingston laboratory (one inside, and one on the roof). Spectral data on approximately 900 weathered oil samples were digitized and stored in computer data files to form a library of weathered oils. These were then compared to some 300 spectra of their unweathered sources by a computer ratio method. The investigation showed that infrared spectroscopy coupled with computer analysis is a useful technique for identifying the source of spilled oil. By using artificial weathering techniques, the correct source of a spill can be identified by infrared with a high probability when samples are collected within one week of the original spill. |
| format | Report |
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Eighty-five different oils of all types were 'weathered' for two weeks in at least two of four weathering grids. Two of the grids were located on Narragansett Bay (one in the Bay and one onshore), and two at the University's Kingston laboratory (one inside, and one on the roof). Spectral data on approximately 900 weathered oil samples were digitized and stored in computer data files to form a library of weathered oils. These were then compared to some 300 spectra of their unweathered sources by a computer ratio method. The investigation showed that infrared spectroscopy coupled with computer analysis is a useful technique for identifying the source of spilled oil. 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Eighty-five different oils of all types were 'weathered' for two weeks in at least two of four weathering grids. Two of the grids were located on Narragansett Bay (one in the Bay and one onshore), and two at the University's Kingston laboratory (one inside, and one on the roof). Spectral data on approximately 900 weathered oil samples were digitized and stored in computer data files to form a library of weathered oils. These were then compared to some 300 spectra of their unweathered sources by a computer ratio method. The investigation showed that infrared spectroscopy coupled with computer analysis is a useful technique for identifying the source of spilled oil. By using artificial weathering techniques, the correct source of a spill can be identified by infrared with a high probability when samples are collected within one week of the original spill.</description><subject>Civil Engineering</subject><subject>COMPUTER APPLICATIONS</subject><subject>COMPUTER PROGRAMS</subject><subject>CORRELATION TECHNIQUES</subject><subject>CRUDE OIL</subject><subject>DATA BASES</subject><subject>FUEL OIL</subject><subject>IDENTIFICATION</subject><subject>Infrared Detection and Detectors</subject><subject>INFRARED SPECTRA</subject><subject>INFRARED SPECTROSCOPY</subject><subject>Lubricants and Hydraulic Fluids</subject><subject>LUBRICATING OILS</subject><subject>MATCHING</subject><subject>OIL SPILLS</subject><subject>OILS</subject><subject>PATTERN RECOGNITION</subject><subject>PETROLEUM PRODUCTS</subject><subject>SIMULATION</subject><subject>WEATHERING</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1976</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZDD1TEnNK8lMy0xOLMnMz1PIT1Pwz8xRCM7JTM4uVkiqVPDMSytKLEpNUQguSE0uKcovTs4vqORhYE1LzClO5YXS3Awybq4hzh66KSWZyfHFJZl5qSXxji6OBiYGluamxgSkAY_eKio</recordid><startdate>197608</startdate><enddate>197608</enddate><creator>Brown,Chris W</creator><creator>Lynch ,Patricia F</creator><creator>Ahmadjian, Mark</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>197608</creationdate><title>Identification of Oil Slicks by Infrared Spectroscopy</title><author>Brown,Chris W ; Lynch ,Patricia F ; Ahmadjian, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA0409753</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1976</creationdate><topic>Civil Engineering</topic><topic>COMPUTER APPLICATIONS</topic><topic>COMPUTER PROGRAMS</topic><topic>CORRELATION TECHNIQUES</topic><topic>CRUDE OIL</topic><topic>DATA BASES</topic><topic>FUEL OIL</topic><topic>IDENTIFICATION</topic><topic>Infrared Detection and Detectors</topic><topic>INFRARED SPECTRA</topic><topic>INFRARED SPECTROSCOPY</topic><topic>Lubricants and Hydraulic Fluids</topic><topic>LUBRICATING OILS</topic><topic>MATCHING</topic><topic>OIL SPILLS</topic><topic>OILS</topic><topic>PATTERN RECOGNITION</topic><topic>PETROLEUM PRODUCTS</topic><topic>SIMULATION</topic><topic>WEATHERING</topic><toplevel>online_resources</toplevel><creatorcontrib>Brown,Chris W</creatorcontrib><creatorcontrib>Lynch ,Patricia F</creatorcontrib><creatorcontrib>Ahmadjian, Mark</creatorcontrib><creatorcontrib>RHODE ISLAND UNIV KINGSTON DEPT OF CHEMISTRY</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Brown,Chris W</au><au>Lynch ,Patricia F</au><au>Ahmadjian, Mark</au><aucorp>RHODE ISLAND UNIV KINGSTON DEPT OF CHEMISTRY</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>Identification of Oil Slicks by Infrared Spectroscopy</btitle><date>1976-08</date><risdate>1976</risdate><abstract>This investigation evaluated the applicability of infrared spectroscopy to identifying sources of oil spills, using computer methods for matching spectra. Eighty-five different oils of all types were 'weathered' for two weeks in at least two of four weathering grids. Two of the grids were located on Narragansett Bay (one in the Bay and one onshore), and two at the University's Kingston laboratory (one inside, and one on the roof). Spectral data on approximately 900 weathered oil samples were digitized and stored in computer data files to form a library of weathered oils. These were then compared to some 300 spectra of their unweathered sources by a computer ratio method. The investigation showed that infrared spectroscopy coupled with computer analysis is a useful technique for identifying the source of spilled oil. By using artificial weathering techniques, the correct source of a spill can be identified by infrared with a high probability when samples are collected within one week of the original spill.</abstract><oa>free_for_read</oa></addata></record> |
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| source | DTIC Technical Reports |
| subjects | Civil Engineering COMPUTER APPLICATIONS COMPUTER PROGRAMS CORRELATION TECHNIQUES CRUDE OIL DATA BASES FUEL OIL IDENTIFICATION Infrared Detection and Detectors INFRARED SPECTRA INFRARED SPECTROSCOPY Lubricants and Hydraulic Fluids LUBRICATING OILS MATCHING OIL SPILLS OILS PATTERN RECOGNITION PETROLEUM PRODUCTS SIMULATION WEATHERING |
| title | Identification of Oil Slicks by Infrared Spectroscopy |
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