The results of research of application of spectral patterns recognition technique in laser remote sensing of natural waters,
conducted by the authors in 2001 - 2006 years, are summarized in this paper. It is shown that application of artificial neural
networks allows to perform precision analysis of water Raman scattering and fluorescence bands of humic substances (with
possible distortions of those by fluorescence of pollution and other organic contaminants). Based on this, it is possible to
solve such problems of laser diagnostics of natural waters as remote determination of temperature, identification and
determination of concentration of salts, humic substances, oil pollutions in water, monitoring of hydrological structures.
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.
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