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Environmental Geochemistry and Health

, Volume 41, Issue 2, pp 817–828 | Cite as

Evaluation of the diagnostic ratios of adamantanes for identifying seriously weathered spilled oils from simulated experiment and actual oil spills

  • Bin HanEmail author
  • Li Zheng
  • Qian Li
  • Faxiang Lin
  • Yu Ding
Original Paper

Abstract

The composition and physical properties of spilled oil have great changes during the seriously weathering process. It brings great difficulties to the source identification of oil spill. So the stable and trustworthy diagnostic ratios (DRs) for accurate identification of severely weathered spilled oils are very important. The explosion of Sinopec pipeline happened on November 22, 2013 at Qingdao, China. Local beaches at Jiaozhou Bay were polluted by spilled oils. We have collected original spilled oil samples from an area free from human interference near the oil leakage point after the accident. Synchronized with actual beach weathering, laboratory experiments were conducted to simulate oil weathering for 360 days by using the collected original spilled oil samples. Based on t test and the repeatability limit method, 50 diagnostic ratios (DRs) of adamantanes were screened. Four DRs, namely 1,3-dimethyladamantane/total dimethyladamantane, 1-methyladamantane/(1-methyladamantane + 1,3-dimethyladamantane), dialkyl diamantane/total diamantane, and diamantane/(diamantane + dialkyl diamantane), have maintained remarkable stability during the simulated weathering experiments and field weathering process. These stable ratios can retain the characteristics of oil source during weathering. They are very beneficial to improve the accuracy of identifying the source of severely weathered oil and can be used as an effective supplement to existing index system for source identification.

Keywords

Oil spill identification Adamantanes Diagnostic ratios Gas chromatography–mass spectrometry (GC–MS) 

Notes

Acknowledgements

This work was financially supported by Basic Scientific Fund for National Public Research Institutes of China (2017Q05) and China-ASEAN Maritime Cooperation Fund: East Asia Marine Cooperation Platform, the project of the National Key Research and Development Program (2016YFC0503602).

References

  1. Bayona, J., Domínguez, C., & Albaigés, J. (2015). Analytical developments for oil spill fingerprinting. Trends in Environmental Analytical Chemistry, 5, 26–34.CrossRefGoogle Scholar
  2. Brakstad, O., Daling, P., Faksness, L., Vang, S., Syslak, L., & Leirvik, F. (2014). Depletion and biodegradation of hydrocarbons in dispersions and emulsions of the macondo 252 oil generated in an oil-on-seawater mesocosm flume basin. Marine Pollution Bulletin, 84, 125–134.CrossRefGoogle Scholar
  3. Burgherr, P. (2007). In-depth analysis of accidental oil spills from tankers in the context of global spill trends from all sources. Journal of Hazardous Materials, 140, 245–256.CrossRefGoogle Scholar
  4. Chen, J., Fu, J., Sheng, G., Liu, D., & Zhang, J. (1996). Diamondoid hydrocarbon ratios: novel maturity indices for highly mature crude oils. Organic Geochemistry, 25, 179–190.CrossRefGoogle Scholar
  5. Daling, P., Faksness, L., Hansen, A., Kienhuis, P., & Duus, R. (2014). Improved methodology for oil spill identification of waterborne petroleum and petroleum products. In Proceedings of 4th international conference on oils and environment.Google Scholar
  6. Daling, P., Faksness, L., Hansen, A., & Stout, S. (2002). Improved and standardized methodology for oil spill fingerprinting. Environmental Forensics, 3, 263–278.CrossRefGoogle Scholar
  7. Doval, M., Moroño, A., Pazos, Y., Lopez, A., Madriñán, M., & Cabanas, J. (2006). Monitoring dissolved aromatic hydrocarbon in rias baixas embayments (NW spain) after prestige oil spills: relationship with hydrography. Estuarine, Coastal and Shelf Science, 67, 205–218.CrossRefGoogle Scholar
  8. Faksness, L. G., Daling, P. S., Hansen, A. B., Kienhuis, P., & Duus, R. (2005). New guidelines for oil spill identification of waterborne petroleum and petroleum products. In Arctic and Marine Oil Spill Program Technical Seminar.Google Scholar
  9. Fang, C., Xiong, Y., Li, Y., Chen, Y., Liu, J., Zhang, H., et al. (2013). The origin and evolution of adamantanes and diamantanes in petroleum. Geochimica et Cosmochimica Acta, 120, 109–120.CrossRefGoogle Scholar
  10. Fingas, M. (1996). The evaporation of oil spills: prediction of equations using distillation data. Spill Science and Technology Bulletin, 3, 191–192.CrossRefGoogle Scholar
  11. Fitzgerald, T., & Gohlke, J. (2014). Contaminant levels in gulf of mexico reef fish after the deepwater horizon oil spill as measured by a fishermen-led testing program. Environmental Science and Technology, 48, 1993–2000.CrossRefGoogle Scholar
  12. Giruts, M., Derbetova, N., Erdnieva, O., Stokolos, O., Koshelev, V., & Gordadze, G. (2013). Identification of tetramantanes in crude oils. Petroleum Chemistry, 53, 285–287.CrossRefGoogle Scholar
  13. Gonnelli, M., Galletti, Y., Marchetti, E., Mercadante, L., Brogi, S. R., Ribotti, A., et al. (2016). Dissolved organic matter dynamics in surface waters affected by oil spill pollution: results from the serious game exercise. Deep-Sea Research Part II Topical Studies in Oceanography, 133, 88–99.CrossRefGoogle Scholar
  14. Grice, K., Alexander, R., & Kagi, R. (2000). Diamondoid hydrocarbon ratios as indicators of biodegradation in Australian crude oils. Organic Geochemistry, 31, 67–73.CrossRefGoogle Scholar
  15. Guo, X., He, S., & Cheng, H. (2007). Discussion and application of the maturity indicators of methyl double diamantane hydrocarbons. Geological Science & Technology Information (China), 26(1), 71–76.Google Scholar
  16. Han, B., Chen, J., Zheng, L., Zhou, T., Li, J., & Wang, X. (2015). Development of an impurity profiling method for source identification of spilled benzene series compounds by gas chromatography with mass spectrometry: Toluene as a case study. Journal of Separation Science, 38, 3198–3204.CrossRefGoogle Scholar
  17. Harriman, B., Zito, P., Podgorski, D., Tarr, M. A., & Suflita, J. (2017). Impact of photooxidation and biodegradation on the fate of oil spilled during the deepwater horizon incident: Advanced stages of weathering. Environmental Science and Technology, 51, 7412–7421.CrossRefGoogle Scholar
  18. Hou, X., Hodges, B., Feng, D., & Liu, Q. (2017). Uncertainty quantification and reliability assessment in operational oil spill forecast modeling system. Marine Pollution Bulletin, 116, 420.CrossRefGoogle Scholar
  19. Lee, C., Lee, J., Sung, C., Moon, S., Kang, S., Lee, J., et al. (2013). Monitoring toxicity of polycyclic aromatic hydrocarbons in intertidal sediments for five years after the Hebei Spirit oil spill in Taean, Republic of Korea. Marine Pollution Bulletin, 76, 241–249.CrossRefGoogle Scholar
  20. Lehr, W. J., & Simecek-Beatty, D. (2000). The relation of langmuir circulation processes to the standard oil spill spreading, dispersion, and transport algorithms. Spill Science and Technology Bulletin, 6, 247–253.CrossRefGoogle Scholar
  21. Li, J., Philp, P., & Cui, M. (2000). Methyl diamantane index (mdi) as a maturity parameter for lower palaeozoic carbonate rocks at high maturity and overmaturity. Organic Geochemistry, 31, 267–272.CrossRefGoogle Scholar
  22. Morales-Caselles, C., Kalman, J., Micaelo, C., Ferreira, A., Vale, C., & Riba, I. (2008). Sediment contamination, bioavailability and toxicity of sediments affected by an acute oil spill: Four years after the sinking of the tanker prestige (2002). Chemosphere, 71, 1207–1213.CrossRefGoogle Scholar
  23. Nelson, R., Kile, B., Plata, D., Sylva, S., Li, X., & Reddy, C. (2006). Tracking the weathering of an oil spill with comprehensive two-dimensional gas chromatography. Environmental Forensics, 7, 33–44.CrossRefGoogle Scholar
  24. Page, D., Foster, J., Fickett, P., & Gilfillan, E. (1988). Identification of petroleum sources in an area impacted by the amoco cadiz, oil spill. Marine Pollution Bulletin, 19, 107–115.CrossRefGoogle Scholar
  25. Riehm, D., Rokke, D., Paul, P., Lee, H., Vizanko, B., & Mccormick, A. (2017). Dispersion of oil into water using lecithin-tween 80 blends: The role of spontaneous emulsification. Journal of Colloid and Interface Science, 487, 52–59.CrossRefGoogle Scholar
  26. Sidiras, D., Batzias, F., Konstantinou, I., & Tsapatsis, M. (2014). Simulation of autohydrolysis effect on adsorptivity of wheat st raw in the case of oil spill cleaning. Chemical Engineering Research and Design, 92, 1781–1791.CrossRefGoogle Scholar
  27. Sun, P., Bao, M., Li, G., Wang, X., Zhao, Y., Zhou, Q., et al. (2009a). Fingerprinting and source identification of an oil spill in china bohai sea by gas chromatography-flame ionization detection and gas chromatography-mass spectrometry coupled with multi-statistical analyses. Journal of Chromatography A, 1216, 830–836.CrossRefGoogle Scholar
  28. Sun, P., Gao, Z., & Cui, W. (2007). Development and application of oil spill identification techniques (China) (pp. 105–114). Beijing: Ocean Publishing House.Google Scholar
  29. Sun, P., Gao, Z., Zhao, Y., Wang, X., Cao, X., & Li, G. (2009b). Evaluation of the oil spill accident in Bohai sea, China. Environmental Forensics, 10, 308–316.CrossRefGoogle Scholar
  30. Wang, Z., & Fingas, M. (2003). Development of oil hydrocarbon fingerprinting and identification techniques. Marine Pollution Bulletin, 47, 423–452.CrossRefGoogle Scholar
  31. Wang, Z., Fingas, M., & Page, D. (1999). Oil spill identification. Journal of Chromatography A, 843, 369–411.CrossRefGoogle Scholar
  32. Wang, Z., Li, K., Fingas, M., Sigouin, L., & Ménard, L. (2002). Characterization and source identification of hydrocarbons in water samples using multiple analytical techniques. Journal of Chromatography A, 971, 173–184.CrossRefGoogle Scholar
  33. Wang, Q., Wen, M., Yan, Z., Sun, B., Liu, H., & Ying, Y. (2015). Repeatability limit analysis of crude oil fingerprints affected by oil spill dispersant. Environmental Science & Technology (China), 38, 74–77.Google Scholar
  34. Wang, Z., Yang, C., Yang, Z., Brown, C., Hollebone, B. P., & Stout, S. A. (2016). Petroleum biomarker fingerprinting for oil spill characterization and source identification. Standard Handbook Oil Spill Environmental Forensics, 7, 131–254.CrossRefGoogle Scholar
  35. Yim, U., Khim, J., Kim, M., Jung, J., & Shim, W. (2017). Environmental impacts and recovery after the Hebei Spirit oil spill in Korea. Archives of Environmental Contamination and Toxicology, 73, 47–54.CrossRefGoogle Scholar
  36. Zheng, L., Cao, J., & Xue, J. (1998). A new index for the maturity of crude oil and hydrocarbon source rock: methyl-diamantane index. Experimental Petroleum Geology (China), 20, 411–416.Google Scholar

Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Key Laboratory for Marine Bioactive Substances and Modern Analytical Technology, First Institute of OceanographyState Oceanic AdministrationQingdaoChina
  2. 2.Laboratory for Marine Ecology and Environmental ScienceQingdao National Laboratory for Marine Science and TechnologyQingdaoChina

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