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Geoinformatika 2014; 4(52) : 54-62 (in Ukrainian)

RECOVERY OF DATABASE QUALITY TO CORRECT CONTENT DISTRIBUTION MODELS OF CHEMICAL ELEMENTS IN NATURAL WATERS

M.N. Zhukov, A.V. Klypa

Taras Shevchenko National University of Kyiv, Volodymyrska Str., 64/13, Kyiv 01601, Ukraine, e-mail: Klypaaa@bigmir.net

Purpose. The purpose of the article is to carry out environmental monitoring of natural waters, based on probabilistic methods and statistical modeling of content distribution of chemical elements in water; to recover hydrochemical database quality to correct the model of content distribution of chemical elements in natural waters.
Design/methodology/approach. We used method of probabilistic and statistical analysis to determine patterns of chemical elements behavior in natural waters and evaluate their characteristics of distribution; mathematical modeling for automated construction of parametric density estimates; methods of correlation and regression analysis to establish the relationship between the components of the chemical composition of natural waters and to calculate integral characteristics of ecological condition. Distribution modeling, calculation of statistical characteristics and database quality recovery were performed using MathCad software package.
Findings. The proposed composite model adequately describes the distribution of chemical elements in natural waters in areas with different natural and technogenic conditions. It allows full environmental monitoring of natural water bodies by integrating the density distributions. The quality recovery method of hydrochemical database allowed to calculate the actual content of trace elements in the water, fully carry out the planned experiment and get a real assessment of changes in the ecological condition of the objects.
Practical value/implications. The developed software can be used to assess the ecological state of water not only in the Poltava region, but also in other areas, and can significantly increase the reliability and accuracy of the estimates, which a complete modern environmental monitoring requires. The mathematical module of database quality recovery may also be used to solve such kind of problems.

Keywords: logarithmic model, probabilistic and/or statistical modelling, element distribution, natural waters, solid residue, integral characteristics.

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