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Proceedings Paper

On the opportunities of determination of oil pollution in nature water in situ by the method of fluorimetry using neural network technologies
Author(s): Tatiana A. Dolenko; Sergey A. Burikov; Victor V. Fadeev; Dmitrii V. Maslov; Rainer Reuter
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Paper Abstract

The problem of determination of oil pollution (OP) in nature water in situ remains topical. Laser fluorimetry as an approach to solution of this problem provides high sensitivity and the opportunity of implementation in remote mode. In this paper, we suggested to use artificial neural networks to extract small contributions of oil pollution to the band of fluorescence of nature water under UV excitation. In this study, we have expanded the set of oil pollution types, which includes different oils.

Paper Details

Date Published: 3 June 2005
PDF: 9 pages
Proc. SPIE 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy, (3 June 2005); doi: 10.1117/12.604983
Show Author Affiliations
Tatiana A. Dolenko, M.V. Lomonosov Moscow State Univ. (Russia)
Sergey A. Burikov, M.V. Lomonosov Moscow State Univ. (Russia)
Victor V. Fadeev, M.V. Lomonosov Moscow State Univ. (Russia)
Dmitrii V. Maslov, M.V. Lomonosov Moscow State Univ. (Russia)
Rainer Reuter, Univ. of Oldenburg (Germany)


Published in SPIE Proceedings Vol. 5826:
Opto-Ireland 2005: Optical Sensing and Spectroscopy
Gerard D. O'Sullivan; Brian D. MacCraith; Hugh James Byrne; Enda McGlynn; Alan G. Ryder, Editor(s)

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