Analysis and evaluation of ecological condition of regions with use grid-technologies

Authors

  • O. Hladka Department of Computer Science National University of Water Management and Nature Resources Use
  • L. Zubyk Department of Computer Science National University of Water Management and Nature Resources Use
  • I. Karpovych Department of Computer Science National University of Water Management and Nature Resources Use
  • V. Savych Department of Computer Science National University of Water Management and Nature Resources Use

Keywords:

data analysis, ranking, intelligent evaluation, multi-scale, Grid-technology

Abstract

The study of the environment imposes specific requirements for the construction and functioning of Gridsystems. Forecasting of any complex system as a whole and justification for adoption of respective decisions on the future development of some of its components may be provided by effective using, processing and analysis of data from various sources and evaluation of objects, taking into account specific set of attributes. Use of multivariate statistical analysis methods allows to achieve the fullness theoretical description of objects and objectivity of research findings, for example regarding future investments. A complex comparative evaluation involves the use of a specific set of methods: the summation of indicators, the sum of places, distances, taksonometriyi, method of standard coefficients, the sum of points on a continuous scale on the selected interval, the sum of points with different scales for different indicators and so on.For a system analysis condition of the environment of region inthis work we developed the method of ranking the elements of complex systems and algorithms for its implementation in the form of applications modules Grid-systems that have been applied to the analysis of the ecological condition of the northern districts of Rivne region which calculated by complex indicators.In calculations of complex evaluation was used indicators condition of the natural environment, published by the Department of Environment and Natural Resources of Regional State Administration.

Published

2016-05-28

Issue

Section

Section 2 Information theory, coding and information form transformation