Statistical analysis of heavy metals in water by the example of the river Miass, Chelyabinsk

Statistical methods are an effective tool for col-lecting and analyzing information, and they allow developing optimal management decisions. In the study the results of research of data on the content of heavy metals in the water of the Miass River of Chelyabinsk region from 1977 to 2014 are given by methods of the multiple-factor analysis, the analysis of autocorrelated function of temporary ranks and by the method of spectral analysis of Fourier. In the study 8 metals were considered: Fe, Zn, Al, Mn, Cu, Cr, Pb, Ni. Temporary ranks of data on the metals concentration were analyzed on the exist-ence of statistically reliable trends, seasonal, har-monious and casual components. It was revealed that the intensity of ecological situation on the Miass River is caused mainly by the action of an anthropogenous factor, the loss is shown by a river ecosystem of ability to self-restoration. A number of specific regularities of behavior of metals in the Miass River water was revealed. The dynamics of concentration of Fe, Mn, Zn, Al, Cr, Cu, Pb in the water of the Miass River has spasmodic character determined by the intake of sewage from the indus-trial enterprises of the city of various structure in various time. The manganese concentration in the water is subject to cyclic seasonal changes. The seasonal component of temporary ranks of concen-tration of iron, nickel, aluminum, zinc, chrome, lead and copper in the water was not revealed. The trend to gradual decrease in the amount of manga-nese and zinc in the water was found. Reliable trends for other metals were not found. It was re-vealed that 3 major factors explaining total disper-sion were 50,9 %, 49,1 % were fell to the share of a random factor.