NEW APPROACHES TO DETERMINATION OF TEMPERATURE AND SALINITY OF SEAWATER BY LASER RAMAN SPECTROSCOPY

Abstract

dolenko(at)radio-msu.net Laser Raman spectroscopy can be an effective method for simultaneous determination of tem-perature and salinity of nature waters. In this paper, a new way of processing spectra is sug-gested. Artificial neural networks are applied to solve the two-parameter inverse problem of de-termining temperature and salinity using the shape of the valence band of liquid water Raman scattering. Two approaches are used: training the neural network on experimental data and on model data. The errors of simultaneous determination of temperature and salinity are calculated; the ways of reducing these errors are specified.