ASSESSMENT AND FORECASTING OF ARTESIAN WATER QUALITY USING MODERN METHODS OF STATISTICAL DATA PROCESSING

Abstract

The purpose of this study is to assessment and forecasting of artesian water quality, depending on well depth. This was done by discretization water supply sources by depth, followed by statistical analysis. Samples of groundwater were selected by the project Ukrainian Water Society «WaterNet» «Map of water quality» in the Kiev region for the years 2010-2020.For analysis of the groundwater pollution level were selected following water quality as a total hardness, the salt content, chromaticity, iron, manganese and nitrates. Pollutants such as iron and manganese have been found to occur at virtually any depth in concentrations that exceed the standards for drinking water. However, such quality indicators as nitrates, hardness, color and salt content exceed the norms only in certain ranges of depths. It has also been determined that the concentrations of these pollutants decrease with increasing well depth.So, the most probable contamination of groundwater with exceeding the standards of drinking water nitrates at a depth of 27.5 m and hardness salts at a depth of 45.5 m. Exceeding the standard of water chromaticity is presumably at a depth of 12.5 m. The probability of excessive salinity of groundwater is only at a depth of 27.5 meters.