1. Identification of persistent oil residues in Prince William Sound, Alaska using rapid spectroscopic techniques
- Author
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Anna P. M. Michel, Hasibe Caballero-Gómez, Alexandra E. Morrison, Charles T. Marx, Michelle Luu, Charvanaa Dhoonmoon, Helen K. White, and Camille Samuels
- Subjects
0106 biological sciences ,Mineralogy ,010501 environmental sciences ,Aquatic Science ,Oceanography ,01 natural sciences ,chemistry.chemical_compound ,tar (computing) ,Spectral data ,Sound (geography) ,0105 earth and related environmental sciences ,geography ,geography.geographical_feature_category ,010604 marine biology & hydrobiology ,computer.file_format ,Pollution ,Petroleum ,Sound ,chemistry ,Asphalt ,Oil spill ,Environmental science ,computer ,Alaska ,Water Pollutants, Chemical ,Environmental Monitoring - Abstract
Spectroscopic techniques including X-ray fluorescence (XRF) and attenuated total reflectance – Fourier transform infrared spectroscopy (ATR-FTIR) are used to examine oil residues persisting on shorelines in Prince William Sound that originate from the 1989 Exxon Valdez oil spill and oil released as a consequence of the 1964 Great Alaska earthquake. When coupled to classification models, ATR-FTIR and XRF spectral data can be used to distinguish between the two sources of oil with 92% and 86% success rates for the two techniques respectively. Models indicate that the ATR-FTIR data used to determine oil source includes the C O stretch, the twisting-scissoring of the CH2 group, and the C C stretch. For XRF data, decision tree models primarily utilize the abundance of nickel and zinc present in the oil as a means to classify source. This approach highlights the utility of rapid, field-based spectroscopic techniques to distinguish different inputs of oil to coastal environments.
- Published
- 2020