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Proceedings Paper

On possibility of the monitoring of water masses' structure in natural reservoirs by fluorimetry with using neural network algorithms
Author(s): Irina V. Fadeeva; Sergey A. Burikov; Vasilii V. Chubarov; Alexandr S. Litvinov; Rainer Reuter
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Paper Abstract

In the paper it is proposed to use fluorescence of dissolved organic matter (DOM) as a water masses indicator. The DOM fluorescence spectra were registered and for two reservoirs of different types: the costal zone of the North Sea and the Rybinskoe reservoir in the middle of the European part of Russia. In the paper it is shown that using normalized intensity of DOM fluorescence and artificial neural networks (ANN) for analysing DOM fluorescence band shape can provide determining the water masses type in natural reservoirs.

Paper Details

Date Published: 3 June 2005
PDF: 7 pages
Proc. SPIE 5826, Opto-Ireland 2005: Optical Sensing and Spectroscopy, (3 June 2005); doi: 10.1117/12.604986
Show Author Affiliations
Irina V. Fadeeva, M.V. Lomonosov Moscow State Univ. (Russia)
Sergey A. Burikov, M.V. Lomonosov Moscow State Univ. (Russia)
Vasilii V. Chubarov, M.V. Lomonosov Moscow State Univ. (Russia)
Alexandr S. Litvinov, Institute of Biology of Inner Water (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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