ИСТИНА

Necessity of global monitoring of salinity and temperature arises from tendency observed during recent years – decrease of icecap in polar latitudes because of global warming. Melting of ice leads to desalination of the surface layer of ocean. This can give impulse to reconstruction of system of oceanic currents and it can be the reason of considerable climate changes not only in polar areas but in planetary scale. In previous research, a method of simultaneous determination of temperature and salinity of seawater by Raman spectra was suggested and elaborated. To solve this multi-parametrical inverse problem and pattern recognition problem, modern methods – artificial neural networks (ANN) – were used. Approbation of the presented method was carried out on natural waters of White Sea area from seven meromictic lakes: Kislo-sladkoye, Lower and Upper Ershovsky, lake in the Cape Verde, Vodoprovodnoye, Verkhneye and Trokhtsvetnoye. Accuracy of determination of natural waters parameters is 0.1 ºC for temperature and 0.2 p.s.u. for salinity. Thus, approbation on the natural waters of White Sea area fully demonstrated the efficiency of this method and once again demonstrated high resistance of ANN to noise.