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Long Distance Identification of Water and Oil using an Ultraviolet Fluorescence Measurement System

원거리의 물과 오일을 구별할 수 있는 UV형광측정시스템 개발과 분석에 대한 연구

  • 백경훈 ((주)마하테크 부설연구소) ;
  • 이준석 ((주)마하테크 부설연구소) ;
  • 전수정 ((주)마하테크 부설연구소) ;
  • 박보람 ((주)마하테크 부설연구소) ;
  • 박성욱 ((주)마하테크 부설연구소)
  • Received : 2022.06.08
  • Accepted : 2022.07.26
  • Published : 2022.07.31

Abstract

Owing to the rising volume of seaborne trade, oil spills damage the marine environment for over 250 yearly. Thus, various analysis methods such as the Fourier-transform infrared (FTIR), Raman spectroscope, and gas chromatography are used to monitor oil spills at sea, but these methods are expensive. Recently, to reduce operational costs, an underwater fluorometer was adopted. However, this approach is not ideal for the remote sensing of oil spills because the device gets submerged in the sea. In this study, we have designed and developed a monitoring system that uses ultraviolet fluorescence to detect spilled oil or water from a distance, as well as proposed an analyzing method defining based on water Raman signal and QF535. Each fluorescence spectrum of water, oil (crude oil), and Bunker A was obtained using the system, and was calculated and analyzed from the spectrum individually. Based on the results of the analysis, we could successfully identity water and oil at a long distance.

Keywords

Acknowledgement

본 연구는 대한민국 정부 (산업통상자원부 및 방위사업청) 재원으로 민군협력진흥원에서 수행하는 민군기술협력사업의 연구비 지원으로 수행되었습니다.(협약번호 UM20406RD4)

References

  1. http://www.index.go.kr/potal/main/EachDtlPageDetail.do?idx_cd=1626 (retrieved on Mar. 16, 2022).
  2. Y. S. Lee, S. J. Lee, C. S. Kim, H. J. Oh, and H. G. Kim, "Introduction of Korea Oil Identification System (KOIS)", Proc. of KOSOMES biannual meeting on The Korean Society of Marine Environment and safety, pp. 85-92, Tongyeong, South Korea, 2006.
  3. H. Boleydei, N. Mirghaffari, and O. Farhadian, "Comparative study on adsorption of crude oil and spent engine oil from seawater and freshwater using algal biomass", Environ. Sci. Pollut. Res., 2018, Vol. 25, pp 21024-21035, 2018.
  4. F. E. HOGE and R. N. SWIFT, "Oil film thickness measurement using airborne laser-induced water Raman backscatter", Appl. Opt., Vol.19, pp. 3269-3281, 1980. https://doi.org/10.1364/AO.19.003269
  5. Y. S. Lee, S. J. Lee, C. S. Kim, H. J. Oh, and H. G. Kim, "Study for Oil Spill Source Identification by Comprehensive Two Dimensional Gas Chromatography", Proc. of KOSOMES biannual meeting on The Korean Society of Marine Environment and safety, pp. 169-174, Tongyeong, South Korea, 2006.
  6. A. Utkin, A. Lavrov, R. Vilar, S. Babichenko, S. Shchemelyov, I. Sobolev, L. Bastos, R. Deurloo, J. T. Palenzuela, N. Yarovenko, and I. Cruz, "Optical methods for water pollution monitoring," in Spatial and Organizational Dynamics: Discussion Papers, University of Algarve, Faro, pp. 129-146, 2011.
  7. S. Patsayeva, "Problems of Remote Diagnostics of Mineral Oil in Sea Water: Oil Films and Oil Dispersed in the Water Body", Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., pp. 568-573, Vienna, Austria, 1996.
  8. D. Zheng, Li Yang, J. Wang, G. Zhao, and S. Sune, "Aquatic environment monitoring using a drone-based fluorosensor", Appl. Phys. B, Vol. 125, No. 6, pp.1-8, 2019.
  9. S. Si, J. Zhao, J. Liu., Y. Zhang, W. Wu, and J. Li, "Determination of accumulation periods and relative maturity of tight oil and gas in Gaotaizi oil reservoir of Qijia area by using fluorescence spectrum of oil inclusions", China Pet. Explor., Vol. 23, No. 6, pp. 78-86, 2018.
  10. A. G. Ryder, "Analysis of crude petroleum oils using fluorescence spectroscopy" In Reviews in Fluorescence 2005, Springer, Boston, pp. 169-198, 2005.
  11. P. Jacques and P. Bernard, "Ultraviolet-fluorescence alteration of hydrocarbon fluid inclusions", Org. Geochem., Vol. 18, No. 4, pp. 501-509, 1992. https://doi.org/10.1016/0146-6380(92)90113-C
  12. A. J. Lawaetz and C. A. Stedmon, "Fluorescence Intensity Calibration Using the Raman Scatter Peak of Water", Appl. Spectrosc., Vol. 63, No. 8, pp. 936-940, 2009. https://doi.org/10.1366/000370209788964548
  13. J. S. Bartlett, K. J. Voss, S. Sathyendranath, and A. Vodacek, "Raman scattering by pure water and seawater", Appl. Opt., Vol. 37, No. 15, pp. 3324-3332, 1998. https://doi.org/10.1364/AO.37.003324
  14. J. E. Min, S. K. Lee, and J. H. Ryu, "Advanced Surface-Reflected Radiance Correction for Airborne Hyperspectral Imagery in Coastal Red Tide Detection", ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci., Vol. 3, pp. 73-80, 2021.
  15. Z. Xu, Y. Jiang, J. Ji, E. Forsberg, Y. Li, and S. He, "Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning", Opt. Express, Vol. 28, No. 21, pp. 30686-30700, 2020. https://doi.org/10.1364/oe.406036