3 June 2005 On the opportunities of determination of oil pollution in nature water in situ by the method of fluorimetry using neural network technologies
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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.
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Tatiana A. Dolenko, Tatiana A. Dolenko, Sergey A. Burikov, Sergey A. Burikov, Victor V. Fadeev, Victor V. Fadeev, Dmitrii V. Maslov, Dmitrii V. Maslov, Rainer Reuter, Rainer Reuter, } "On the opportunities of determination of oil pollution in nature water in situ by the method of fluorimetry using neural network technologies", Proc. SPIE 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy, (3 June 2005); doi: 10.1117/12.604983; https://doi.org/10.1117/12.604983
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